[1] Kaiyi Pang, …, Minghu Jiang, et al. ModelShield: Adaptive and Robust Watermark against Model Extraction Attack. IEEE Transactions on Information Forensics and Security. (SCI Impact Factor 7.178,Q1, CCF A), 2025, 20: 1767-1782.
[2] Yubin Peng, Ruyi Qiu, Minghu Jiang, Xiaoang Wan. Influence of flavor information on visual search: Attentional capture by and suppression of flavor-associated colors. Biological Psychology, 2024, 190: 108821(10 pages), SCI Impact Factor 3.111(Q2), Elsevier
[3] Dan Du, Minghu Jiang. The roles of segments and tone in Mandarin lexical processing: an ERP study. Journal of Integrative Neuroscience, 2024, 31083(9 pages), SCI Impact Factor 1.664 (Q4).
[4] Xinyi Xu, Jingting Zhang, Yuling Wang, Minghu Jiang. An ERP study on the late stage of Chinese metaphor processing. Frontiers in Human Neuroscience, section Speech and Language. SCI Impact Factor 3.473(Q2), 2024,18: 1269153(15 pages). https://doi.org/10.3389/fnhum.2024.1269153
[5] Jiajun Zou, …, Minghu Jiang, et al. A machine reading comprehension framework for recognizing emotion cause in conversations. Knowledge-Based Systems, SCI Impact Factor 8.665(Q1), 2024, 289: 111532(12 pages). Elsevier
[6] Siqin Yang, Siyi Jiang, Minghu Jiang, et al. Lexical Pathway from L2 to L1 Activation in Intermediate Proficient Bilinguals: Behavioral and ERP Evidence. Frontiers in Human Neuroscience, section Speech and Language, 18: 1270377, SCI Impact Factor 3.473(Q2), https://doi.org/10.3389/fnhum.2024.1270377
[7] Yuling Wang, Zuowen Li, Minghu Jiang, et al. The time course of Chinese compound word recognition as revealed by ERP data. Language, Cognition and Neuroscience, (SSCI Impact Factor 2.842), Q1. Published online: 22 Aug, 2023, 21pages, https://doi.org/10.1080/23273798.2023.2245074
[8] Fanshu Lia, Dengfeng Yao, Minghu Jiang, et al. Smoking behavior recognition based on a two-level attention fine-grained model and Efficient Detnetwork. Journal of Intelligent & Fuzzy Systems, 2022x–xx, DOI: 10.3233/JIFS-213042, (SCI Impact Factor 1.426) Q4
[9] Siqin Yang, Yeyi Cai, Minghu Jiang. Semantic and syntactic processing during comprehension: ERP Evidence from Chinese QING structure. Frontiers in Human Neuroscience, section Speech and Language, 2021, doi: 10.3389/fnhum.2021.701923, (SCI Impact Factor 是3.169), Q2.
[10] Siqin Yang, Xiaochen Zhang, Minghu Jiang. Bilingual brains learn to use L2 alliterations covertly as poets: ERP evidence. Frontiers in Psychology, Sep., 2021, 12: 691846, doi: 10.3389/fpsyg.2021.691846 (SSCI Impact Factor 2.988), Q2.
[11] Yuling Wang, Minghu Jiang, et al. Electrophysiology reveals an interaction between phonological and semantic processes in visual word recognition. Journal of Visualized Experiments. 2021, SCI Impact Factor 是1.355.
https://www.jove.com/cn/v/62673/interaction-between-phonological-semantic-processes-visual-word
[12] Yunlong Huang, Minghu Jiang, et al. When one pseudoword elicits larger P600 than another: a study on the role of reprocessing in anomalous sentence comprehension. Language, Cognition and Neuroscience, Published online: 17 May, 2021, DOI: 10.1080/23273798.2021.1922724, (SCI Impact Factor 2.331), Q1.
[13] Yuling Wang, Minghu Jiang, et al. An ERP study on the role of phonological processing in reading two-character compound Chinese words of high and low frequency. Frontiers in Psychology, 2021, 12, 15 pages, doi: 10.3389/fpsyg.2021.637238 (SSCI Impact Factor 2.988). Q2.
[14] Yunlong Huang, Minghu Jiang, et al. Delving into the working mechanism of prediction in sentence comprehension: An ERP study. Frontiers in Psychology, 2021, 12, 13 pages, doi: 10.3389/fpsyg.2021.608379 (SSCI Impact Factor 2.988), Q2.
[15] Man Wang, Yiya Chen, Minghu Jiang, et al. The time course of speech production revisited: no early orthographic effect, even in Mandarin Chinese. Language, Cognition and Neuroscience, 2020, https://doi.org/10.1080/23273798.2020.1803373(SCI Impact Factor 2.331). Q1.
[16] Renkui Hou, Chu-Ren Huang, Li Yang, Minghu Jiang. Preliminary studies on register function of Chinese function words. Lingua Sinica, 2020, vol. 6, 10.2478/linguasinica-2020- 0005
[17] Xiaochen Zhang; Siqin Yang; Minghu Jiang. Rapid implicit extraction of abstract orthographic patterns of Chinese characters during reading. Plos One, 2020,15(2): e0229590. 23 pages. https://doi.org/10.1371/journal.pone.0229590 (SCI Impact Factor 3.24), Q2.
[18] Yuling Wang, Wei He, Minghu Jiang, et al. CHOpinionMiner: An unsupervised system for Chinese opinion target extraction. Concurrency and Computation: Practice and Experience, 2020, 10 April, 32(7): e8852: 1-14. (SCI Impact Factor 1.536).
[19] Yunlong Huang, Minghu Jiang, et al. Dissociation of the confounding influences of expectancy and integrative difficulty residing in anomalous sentences in Event-related potential studies. Journal of Visualized Experiments. 2019, 147(e59436): 1-10. (SCI Impact Factor 1.355).
[20] Yunlong Huang, Minghu Jiang, Xi Guo, Fan-Pei Gloria Yang. N400 amplitude does not recover from disappearance after repetitions despite reinitiated semantic integration difficulty. NeuroReport, 2018, Nov., 29(16): 1341-1348. (SCI Impact Factor 1.837).
[21] Dengfeng Yao, Minghu Jiang, et al. Study of sign segmentation in the text of Chinese sign language. Universal Access in the Information Society, DOI 10.1007/s10209-016-0506-8, (SCI Impact Factor 3.078), Q2,2017 Aug., 16(3): 725-737, Springer.
[22] Ding Liu, Minghu Jiang, et al. Analyzing document with quantum clustering: A novel pattern recognition algorithm based on quantum mechanics. Pattern Recognition Letters, 1 July, 2016, 71: 8-13, (SCI Impact Factor 3.756), Q2.
[23] Liu Ding, Xiaofang Yang, Jiang Minghu. A novel text classifier – based on quantum computation. Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, pages 484–488, Sofia, Bulgaria, August 4-9, 2013. EI Accession number: 20143718160282
[24] Renkui Hou, Minghu Jiang. Analysis on Chinese quantitative stylistic features based on text mining. Digital Scholarship in the Humanities, Doi: 10.1093/llc/fqu067, SSCI (SSCI Impact Factor 0.894) June, 2016, 31(2): 357-367.
[25] Renkui Hou, Jiang Yang, Minghu Jiang. A study on Chinese quantitative stylistic features and relation among different styles based on text clustering. Journal of Quantitative Linguistics, 2014, 21(3): 246-280. (SSCI Impact Factor 0.914)
[26] Lin Wang, Juxiang Huang, Minghu Jiang, et al. "Adenosylmethionine decarboxylase 1 (AMD1)-mediated mRNA processing and cell adhesion activated & inhibited transition mechanisms by different comparisons between chimpanzee and human left hemisphere" Cell Biochemistry and Biophysics, 2014, 70(1): 279-288 SCI IDS Number: (SCI Impact Factor 2.194)
[27] Lin Wang, Juxiang Huang, Minghu Jiang, Hong Lin. Signal transducer and activator of transcription 2 (STAT2) metabolism coupling postmitotic outgrowth to visual and sound perception network in human left cerebrum by biocomputation. Journal of Molecular Neuroscience, 2012, 47: 649-658, (SCI Impact Factor 3.444),
[28] Lin Hong, Wang, L., Jiang, M., et al. P-glycoprotein (ABCB1) Inhibited network of mitochondrion transport along microtubule and BMP signal-induced cell shape in chimpanzee left cerebrum by systems-theoretical analysis, Cell Biochemistry and Function, 2012, 30(7): 582-587, (SCI Impact Factor 3.685)
[29] Lingjun Sun, Lin Wang, Minghu Jiang et al. Glycogen debranching enzyme 6 (AGL), enolase 1 (ENOSF1), ectonucleotide pyrophosphatase 2 (ENPP2_1), glutathione S-transferase 3 (GSTM3_3) and mannosidase (MAN2B2) metabolism computational network analysis between chimpanzee and human left cerebrum”, Cell Biochemistry and Biophysics, 2011,61(3): 493-505, (SCI Impact Factor 2.194),
[30] Minghu Jiang, Georges Gielen. Analysis of quantization effects on high-order function neural networks. Applied Intelligence, 28(1): 51-67, Springer, 2008. (SCI Impact Factor 5.086), Q2.
[31] Lin Wang, Minghu Jiang, et al. A comparative study on clustering methods for molecular data. International Journal of Neural Systems (IJNS), 17(6): 447-458, 2007, (SCI Impact Factor 5.866), Q1.
[32] Shasha Liao, Minghu Jiang. A new feature selection method based on concept extraction in automatic Chinese text classification. New Mathematics & Natural Computing Journal, 2007, 3(3): 331-347.
[33] Minghu Jiang, et al, “Wavelet neural networks for adaptive equalization by the orthogonal least squares algorithm” Tsinghua Science and Technology, 2004, 9(1): 24-29&37, (SCI Impact Factor 6.2), Q2.
[34] Minghu Jiang, Georges Gielen. The effects of quantization on multilayer feedforward neural networks. International Journal of Pattern Recognition and Artificial Intelligence, 2003, 17 (4): 637-661, (SCI Impact Factor 1.373)
[35] Minghu Jiang, Georges Gielen, Bo Zhang, Zhensheng Luo. Fast learning algorithms for feedforward neural networks. Applied Intelligence, 2003, 18(1): 37-54, (SCI Impact Factor 5.086),Q2,
[36] Minghu Jiang, et al. Wavelet neural networks for adaptive equalization. Chinese Journal of Electronics, 2003, 12(4): 522-526, (SCI Impact Factor 1.014).
[37] Minghu Jiang et al, “A fast learning algorithm of time-delay neural networks. Information Sciences, 148(1-4): 27-39, DEC/2002, (SCI Impact Factor 6.795), Q1
[38] Minghu Jiang, Xiaoyan Zhu, et al. Braille to print translations for Chinese. Information and Software Technology, 2002, 44(2): 91-100, (SCI Impact Factor 2.73), Q2.
[39] Minghu Jiang, et al. A hybrid algorithm of global optimization of dynamic learning rate for feedforward neural networks. Chinese Journal of Electronics, 2001, 10(2): 214-218, (SCI Impact Factor 1.014).
[40] Minghu Jiang, Baozong Yuan, et al. The research of speech recognition and understanding model with hierarchical information feedback. Journal of Electronics, 1999, 16(3): 208-214.
[41] Siqin Yang, Minghu Jiang. Second Language Activation in Native Vocabulary Recognition Processes Among Chinese-Japanese Second Language Learners. Foreign Language Teaching and Research (CSSCI Source Journal), 2024, 56(4): 594–606. (Top journal in foreign language studies)
[42] Minghu Jiang. The Transformative Development and Prospects of Cognitive Technology. Academic Front of People’s Daily (CSSCI Source Journal), 2023, Issue 6 (Upper), pp. 28–39.
[43] Siqin Yang, Minghu Jiang. A Study on Cross-Lingual Activation Pathways Based on ERP Data from Vocabulary Recognition: From Second Language to Native Language. Journal of Chinese Information Processing, 2024, 38(4): 28–37.
[44] Yang Zhang, Minghu Jiang. Application of Syntactic Tree Node Embedding in Author Identification. Journal of Tsinghua University (Science and Technology), 2023, 63(9): 1390–1398.
[45] Siqin Yang, Minghu Jiang. A Study on Semantic and Syntactic Processing of Chinese Simple [S+V+O] Sentences—ERP Experimental Evidence. Journal of Tsinghua University (Science and Technology), 2022, 62(12): 2053–2060.
[46] Yang Zhang, Minghu Jiang. A Review of Author Identification Research. Acta Automatica Sinica, 2021, 47(11): 2501–2520.
[47] Siqin Yang, Xiaochen Zhang, Minghu Jiang. The Influence of Literary Novel Texts on Facial Emotion Recognition—ERP Evidence. Journal of Chinese Information Processing, 2021, 35(9): 94–101.
[48] Siqin Yang, Wenyu Xu, Xiaochen Zhang, Minghu Jiang. Cognitive-Neural Processing Differences Between Chinese Homophonic and Semantic Pun Words—ERP Evidence. Journal of Chinese Information Processing, 2020, 34(1): 15–23.
[49] Dengfeng Yao, Minghu Jiang, Hong Bao, et al. Thirty Years of Sign Language Computing: Review and Prospects. Journal of Computers, 2019, 42(1): 111–135.
[50] Dengfeng Yao, Minghu Jiang, et al. Sign Language Understanding Based on a Phonological Model. Journal of Chinese Information Processing, 2018, 32(1): 160–168.
[51] Dengfeng Yao, Minghu Jiang, et al. Cognitive-Semantic Analysis of Classifier Predicates in Chinese Sign Language. Journal of Chinese Information Processing, 2018, 32(3): 1–9.
[52] Pei Su, Minghu Jiang, et al. An ERP Study on the Cognitive-Neural Mechanisms of Chinese “De” Phrases. Journal of Chinese Information Processing, 2018, 32(1): 151–159.
[53] Abulizi Abudukelimu, Minghu Jiang, et al. Research on the Cognitive-Neural Mechanisms of Morphologically Complex Word Processing. Journal of Tsinghua University (Science and Technology), 2017, 57(4): 393–398.
[54] Siqin Yang, Minghu Jiang. An ERP Study on English Activation During Chinese Native Semantic Processing by Bilinguals. Journal of Chinese Information Processing, 2016, 30(6): 117–125.
[55] Dengfeng Yao, Minghu Jiang, et al. The Influence of Sign Language Modality on Sentence Processing. Journal of Tsinghua University (Science and Technology), 2016, 56(9): 942–948.
[56] Dengfeng Yao, Minghu Jiang, et al. Spatial Metaphor Semantic Cognitive Computing Based on Deaf Brain Cognitive Cases. Journal of Chinese Information Processing, 2015, 29(5): 40–49.
[57] Dengfeng Yao, Minghu Jiang, et al. A Review of Chinese Sign Language Information Processing. Journal of Chinese Information Processing, 2015, 29(5): 225–236.
[58] Xiaofang Yang, Minghu Jiang. A Study on Brain-Computer Interface Based on Chinese Phoneme Pronunciation Imagination. Journal of Chinese Information Processing, 2014, 28(5): 13–23.
[59] Yifan He, Minghu Jiang. Feature Extraction Method Based on Information Bottleneck in Web Text Classification. Journal of Tsinghua University (Science and Technology), 2010, 50(1): 46–49, 54.
[60] Ang Sun, Minghu Jiang, et al. Chinese Question Answering System Based on Syntactic Analysis and Maximum Entropy Model. Acta Electronica Sinica, 2008, 36(5): 833–839.
[61] Shasha Liao, Minghu Jiang. Feature Extraction Method Based on Conceptual Masking Layer in Chinese Text Classification. Journal of Chinese Information Processing, 2006, 20(3): 22–28.
[62] Xiaowei Sheng, Minghu Jiang. Research on Automatic Chinese Text Classification Based on Rough Set Reduction Algorithm. Journal of Electronics & Information Technology, 2005, 27(7): 1047–1052.
[63] Minghu Jiang, Xiaoyan Zhu, Bo Zhang. Research Progress on Blind Computers. Scientific American (in Chinese), 1999, No. 1, pp. 1–3.
[64] Minghu Jiang, Xiaoyan Zhu, Baozong Yuan. N-gram Probability Statistics and Sparse Data Smoothing Algorithm for Chinese Corpus. Journal of Tsinghua University (Science and Technology), 1999, 39(9): 99–102.
[65] Minghu Jiang, Baozong Yuan. Research Progress in Speech Recognition and Understanding. Journal of Circuits and Systems, 1999, 4(2): 53–59.
[66] Minghu Jiang, Baozong Yuan. Effective Learning Algorithm for Unbalanced Training Samples in BP Networks. Journal of Electronics & Information Technology, 1999, 21(3): 412–415.
[67] Minghu Jiang, Baozong Yuan. Learning Algorithm for Multi-Class Classification Optimization Module Neural Networks. Journal of Communications, 1998, 19(6): 71–75.
[68] Minghu Jiang, Baozong Yuan. Research on Speech Recognition and Understanding Systems in Noisy Environments. Journal of the China Railway Society, 1997, 19(6): 73–77.
[69] Minghu Jiang, Baozong Yuan. Speech Recognition System Based on Extended Associative Neural Networks. Journal of the China Railway Society, 1997, 19(3): 73–78.
[70] Minghu Jiang, Baozong Yuan. Research on a Feature Compression Classification Neural Network. Journal of Circuits and Systems, 1997, 2(3): 18–23.
[71] Lin Wang, Ying Sun and Minghu Jiang. Integrative decomposition procedure and Kappa statistics for the distinguished single molecular network construction and analysis. Journal of Biomedicine and Biotechnology. 2009, Article ID 726728, 6 pages doi:10.1155/ 2009/ 726728. (SCI Impact Factor 3.169), Q2.
[72] Lin Wang, Ying Sun, Minghu Jiang. FOS Proliferating network construction in early colorectal cancer (CRC) based on integrative significant function cluster and inferring analysis. Cancer Investigation. 2009, 27(8): 816-824, (SCI Impact Factor 2.176).
[73] Juxiang Huang, Lin Wang, Minghu Jiang. TNFRSF11B computational development network construction and analysis between frontal cortex of HIV encephalitis (HIVE) and HIVE-control patients. Journal of Inflammation, 2010, Vol.7, No. 1, 50-th, p.1-8. (SCI Impact Factor 2.714),Q2.
[74] Lin Wang, Juxiang Huang, Minghu Jiang. RRM2 computational phosphoprotein network construction and analysis between no-tumor hepatitis/cirrhotic liver tissues and human hepatocellular carcinoma (HCC). Cellular Physiology and Biochemistry, 2010, 26(3): 303-310, (SCI Impact Factor 5.5), Q1.
[75] Lin Wang, Juxiang Huang, Minghu Jiang. AFP computational secreted network construction and analysis between human hepatocellular carcinoma (HCC) and no-tumor hepatitis/cirrhotic liver tissues. Tumor Biology, 2010, 31(5): 417-425, DOI:10.1007/s13277-010-0050-8, (SCI Impact Factor 3.65), Q2.
[76] Ying Sun, Lin Wang, Minghu Jiang. Secreted phosphoprotein 1 upstream invasive network construction and analysis of lung adenocarcinoma compared with human normal adjacent tissues by integrative biocomputation. Cell Biochemistry and Biophysics, 2010, 56(2-3): 59-71. (SCI Impact Factor 2.194).
[77] Lin Wang, L Sun, Juxiang Huang, Minghu Jiang. Cyclin-dependent kinase inhibitor 3 (CDKN3) novel cell cycle computational network between human non-malignancy associated hepatitis ⁄cirrhosis and hepatocellular carcinoma (HCC) transformation. Cell Proliferation, 2011, 44(3): 291-299, (SCI Impact Factor 6.831), Q1.
[78] Lin Wang, Juxiang Huang, Minghu Jiang, et al. Survivin (BIRC5) cell cycle computational network in human no-tumor hepatitis / cirrhosis and hepatocellular carcinoma transformation. Journal of Cellular Biochemistry, 2011, 12(5): 1286-1294, JCB-10-0560.R3(23030), (SCI Impact Factor 4.429), Q2.
[79] Lin Wang, Juxiang Huang, Minghu Jiang. MYBPC1 Computational phosphoprotein network construction and analysis between frontal cortex of HIV encephalitis (HIVE) and HIVE-control patients. Cellular and Molecular Neurobiology, 2011, 31(2): 233-241, DOI 10.1007/s10571- 010- 9613-x, (SCI Impact Factor 5.046), Q2.
[80] Lin Wang, Juxiang Huang, Minghu Jiang, CREB5 computational regulation network construction and analysis between frontal cortex of HIV encephalitis (HIVE) and HIVE- control patients. Cell Biochemistry and Biophysics, 2011, 60(3): 199-207, DOI 10.1007/ s12013-010- 9140-x, (SCI Impact Factor 2.194).
[81] Lin Wang, Juxiang Huang, Minghu Jiang. Tissue-specific transplantation antigen P35B (TSTA3) immune response–mediated metabolism coupling cell cycle to postreplication repair network in no-tumor hepatitis/cirrhotic tissues (HBV or HCV infection) by biocomputation. Immunologic Research, 2012, 52(3): 258-268. (SCI Impact Factor 2.829).
[82] Lin Wang, Juxiang Huang, Minghu Jiang, PTHLH coupling upstream negative regulation of fatty acid biosynthesis and Wnt receptor signal to downstream peptidase activity-Induced Apoptosis Network in Human Hepatocellular Carcinoma (HCC) by Systems-Theoretical Analysis. Journal of Receptors and Signal Transduction, 2012, 32(5): 250-256, (SCI Impact Factor 2.092).
[83] Wang, L., Huang, J., Jiang, M., Inhibited PTHLH downstream leukocyte adhesion- mediated protein amino acid N-linked glycosylation coupling Notch and JAK-STAT cascade to iron-sulfur cluster assembly-induced aging network in no-tumor hepatitis/cirrhotic tissues (HBV or HCV infection) by systems-theoretical analysis. Integrative Biology, 2012, 4: 1256-1262, (SCI Impact Factor 2.192).
[84] L. Wang, J. Huang, M. Jiang, et al. Activated PTHLH coupling feedback phosphoinositide to G-protein receptor signal-induced cell adhesion network in human hepatocellular carcinoma by systems-theoretical analysis. The Scientific World Journal. 2012, doi:10.1100/2012/428979. (SCI Impact Factor 1.730).
[85] Qi, L., L. Wang, J. Huang, M. Jiang, et al. Activated amelogenin Y-linked (AMELY) regulation and angiogenesis in human hepatocellular carcinoma by biocomputation. ONCOLOGY LETTERS, 2013, 5(3): 1075-1079, (SCI Impact Factor 2.967).
[86] Wang, L., J. Huang, M. Jiang, et al. Cartilage oligomeric matrix protein (COMP)-mediated cell differentiation to proteolysis mechanism networks from human normal adjacent tissues to lung adenocarcinoma. Analytical Cellular Pathology, 36(3-4): 93–105, 2013, (SCI Impact Factor 2.916).Q2。
[87] Diao, H., L. Wang, J. Huang, M. Jiang, H. et al. BRCA1‐mediated inflammation and growth activated & inhibited transition mechanisms between no‐tumor hepatitis/cirrhotic tissues and HCC. Journal of Cellular Biochemistry, 115(4): 641-650, 2014. (SCI Impact Factor 4.429). Q2。
[88] Lin Wang, Juxiang Huang, Minghu Jiang, et al. AGR2-mediated lung adenocarcinoma metastasis novel mechanism network through repression with interferon coupling cytoskeleton to steroid metabolism-dependent humoral immune response. Cellular Immunology, 2014, 290(1): 102-106, PII: S0008-8749(14)00093-8, DOI: 10.1016/j.cellimm. 2014.05.008, (SCI Impact Factor 4.868). Q2.
[89] Wang, L., J. Huang, M. Jiang, et al. CAMK1 phosphoinositide signal-mediated protein sorting and transport network in human hepatocellular carcinoma (HCC) by biocomputation. Cell Biochemistry and Biophysics. 2014, 70: 1011-1016, DOI: 10.1007/s12013-014-0011-8, (SCI Impact Factor 2.194).
[90] J. Huang, Wang, L., M. Jiang, et al. Low BIK ouside-inside-out interactive inflammation immune-induced transcription-dependent apoptosis through FUT3-PMM2-SQSTM1-SFN- ZNF384. Immunologic Research, 2015. (SCI Impact Factor 2.829), DOI: 10.1007/s12026 -015-8701-x.
[91] Wang, L., J. Huang, M. Jiang, et al. Low glucose transporter SLC2A5-inhibited human normal adjacent lung adenocarcinoma cytoplasmic pro-B cell development mechanism network. Molecular and Cellular Biochemistry, 2015, 399(1-2): 71–76. DOI 10.1007/s11010-014- 2233-x, (SCI Impact Factor 3.396).
[92] Huilei Zhou, Lin Wang, Juxiang Huang, Minghu Jiang, et al. High EGFR_1 inside-out activated inflammation-induced motility through SLC2A1- CCNB2- HMMR- KIF11- NUSAP1- PRC1- UBE2C. Journal of Cancer. 2015, 6(6): 519-524. doi: 10.7150/jca.11404, (SCI Impact Factor 4.207), Q2.
[93] Qingchun Chen, Lin Wang, Minghu Jiang, et al. E2F1 interactive with BRCA1 pathway induces HCC two different small molecule metabolism or cell cycle regulation via mitochondrion or CD4+T to cytosol. Journal of Cellular Physiology, (SCI Impact Factor 6.384), Q1, DOI: 10.1002/jcp.25988, 2018, 233(2): 1213-1221.
[94] Pei Su, Minghu Jiang and Chen Bai. An ERP study on metaphors in Chinese two-character expression. Clinical and Experimental Psychology, 2019, 5(2): 211-216.
[95] Qingchun Chen, Lin Wang, Haitao Feng, Minghu Jiang, et al. Drug response and viral carcinogenesis in ACTG2-activated network via ubiquitin ligase regulation or spindle assembly checkpoint. Basic & Clinical Pharmacology & Toxicology, (ISSN 1742-7835, e-ISSN 1742-7843), 2021, 128(S1): 16, BE021, (SCI Impact Factor 4.084), Q2.
[96] Lin Wang, Qingchun Chen, Haitao Feng, Minghu Jiang. Toxic substance response of MCM4-activating network induces viral carcinogenesis | cell migration | G2/M transition| positive regulation of gene expression | response to cortisol, Basic & Clinical Pharmacology & Toxicology, (ISSN 1742-7835, e-ISSN 1742-7843), 2021, 128(S1): 18~19, LAZB03, (SCI Impact Factor 4.084) , Q2.
[97] Lin Wang, Haitao Feng, Minghu Jiang, et al. Drug response or inflammatory mediator regulation of MCM4-inhibiting network via TF binding or cholinergic synapse, Basic & Clinical Pharmacology & Toxicology, (ISSN 1742-7835, e-ISSN 1742-7843), 2021, 128(S1): 13, BE015, (SCI Impact Factor 4.084), Q2.
[98] Haitao Feng, Lin Wang, Qingchun Chen, Minghu Jiang. Drug response or MicroRNAs in cancer of BCAT1-interactive network stimulates stem cell | G2 DNA damage checkpoint | toxic substance response or DNA replication initiation | transcription regulation, Basic & Clinical Pharmacology & Toxicology, (ISSN 1742-7835, e-ISSN 1742-7843), 2021, 128(S1): 21, LAZB08, (SCI Impact Factor 4.084), Q2.
[99] Lin Wang, Haitao Feng, Minghu Jiang, et al. Drug binding or phosphorylation of BCAT1-inhibitive feedback computational network induces lipopolysaccharide cellular response | positive chemotaxis or cell proliferation | Tight Junction. Basic & Clinical Pharmacology & Toxicology, (ISSN 1742-7835, e-ISSN 1742-7843), 2021, 128(S1): 9~10, BE009, (SCI Impact Factor 4.084), Q2.
[100] Siqin Yang, Minghu Jiang. Using an improved sentence paradigm of event-related potentials to examine puns’ cognitive mechanism. The Journal of China Universities of Posts and Telecommunications, 2021, 28(3): 102-110, EI检索