[23]Song Zilong(研究生一作), Li Haoyang, Ge Fang, Pan Lei, Zhang Ming*, Dong-Jun. METFAN: Multisource Enhanced Therapeutic Peptide Function Prediction via Adapter Network. ACS Omega 2025, 10, 44, 53019–53038.
[22]Cui-Feng Li(研究生一作), Zihao Yan , Fang Ge,Xuan Yu, Ming Zhang*, Dong-Jun Yu*. TransABseq: A Two-Stage Approach for Predicting Antigen-Antibody Binding Affinity Changes upon Mutation Based on Protein Sequences[J].Journal of Chemical Information and Modeling.2025, 2025, 65(10), 5188–5204, (SCI 2区 Top).
[21] Ming Zhang, Chaoming Zhang,Keyu Liu, Xibei Yang,Xiaojian Liu,Fang Ge.BRAFPred: A Novel Approach for Accurate Prediction of the B-Type Rapidly Accelerated Fibrosarcoma Inhibitor[J]. ACS Omega 2025,In Press. (SCI 3区 )
[20] Ming Zhang, Xiandong Yu, Wenqiang Li, Xin Shu, Lei Pan, Zhongwei Shen. LENet: A Lightweight and Efficient HighResolution Network for Human Pose Estimation[J] IEEE ACCESS. 2025,In Press. (SCI 3区)
[19] Fang Ge, Jianren Zhou, Ming Zhang and Dong-Jun Yu. MFP-MFL: Leveraging Graph Attention and Multi-Feature Integration for Superior Multifunctional Bioactive Peptide Prediction[J]. International Journal of Molecular Sciences, 2025, In Press. (SCI 2区)
[18]
[17] Xiaohua Wang(研究生一作), Ming Zhang, Xibei Yang, Dong-Jun Yu, and Fang Ge. GPTrans: A Biological Language Model-Based Approach for Predicting Disease-Associated Mutations in G Protein-coupled Receptors[J].Journal of Chemical Information and Modeling. 2024， 64(24), 9626-9642, (SCI 2区 Top).
[16] Fang Ge, Cui-Feng Li, Chao-Ming Zhang, Ming Zhang, and Dong-Jun Yu. PRITrans: A Transformer-based Approach for the Prediction of the Effectes of Missense Mutation on Protein-RNA Interactions [J]. International Journal of Molecular Sciences, 2024, In Press. (SCI 2区)
[15] Ming Zhang, Jianren Zhou, Xiaohua Wang, Xun Wang and Fang Ge. DeepBP: Ensemble deep learning strategy for bioactive peptide prediction[J].BMC Bioinformatics (2024) 25:352. (SCI 3区)
[14] Ming Zhang, Xiaohua Wang, Shanruo Xu, Fang Ge, Ian Costa Paixao4,Jiangning Song, Dong-Jun Yu. MetalTrans: A Biological Language Model-Based Approach for Predicting Disease-Associated Mutations in Protein Metal-Binding Sites[J]. Journal of Chemical Information and Modeling. 2024(64):6216−6229. (SCI 2区 Top / Cover paper)
[13] Ming Zhang, Chao Gong, Fang Ge, and Dong-Jun Yu. FCMSTrans: Accurate Prediction of Disease-Associated nsSNPs by Utilizing Multiscale Convolution and Deep Feature Combinationwithin a Transformer Framework. Journal of Chemical Information and Modeling. 2024(64): 1394−1406. (SCI 2区Top)
[12] Yongle Xu, Ming Zhang, and Boyin Jin. Pursuing Benefits or Avoiding Threats: Realizing Regional Multi-Target Electronic Reconnaissance With Deep Reinforcement Learning. IEEE ACCESS. 2023(11):63972-83984. (SCI 3区)
[11] Hong Sun, Wanrong Cao and Ming Zhang. Energy stability of a temporal variable-step difference scheme or time-fractional nonlinear fourth-order reaction-diffusion equation. International Journal of Computer Mathematics, 2023,100(5):991-1008. (SCI 4区)
[10] 张明, 徐妍, 陈韬, 王长宝, 於东军. 基于核酸物化属性显著性约简的m6A位点识别[J]. 南京理工大学,2019,43(2)：199-208.
[9] 孙佳伟, 张明*, 王长宝, 徐维艳, 程科, 段先华. 一种新的融合统计特征的DNA甲基化位点识别方法[J]. 江苏科技大学学报, 2019,33(2)：62-68.
[8] Ming Zhang,Yan Xu, Lei Li, Zi Liu, Xibei Yang, Dong-Jun. Accurate RNA 5-methylcytosine site prediction based on heuristic physical-chemical properties reduction and classifier ensemble[J]. Analytical Biochemistry, 2018, 550: 41-48. (SCI收录)
[7] Ming Zhang , Jia-Wei Sun, Zi Liu, Ming-Wu Ren, Hong-Bin Shen, and Dong-Jun Yu. Improving m6A Sites Prediction with Heuristic Selection of Nucleotide Physical-chemical Properties[J]. Analytical Biochemistry, 2016, 508: 104-113. (SCI收录)
[6] Jun Hu, Yang Li, Ming Zhang, Xibei Yang, Hong-Bin Shen, and Dong-Jun Yu. Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-based Features and Boosting Multiple SVMs. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2016. (SCI收录)
[5]张明，程科，杨习贝，唐振民. 基于加权粒度的多粒度粗糙集[J]. 控制与决策，2015, 30(2): 222-228.（EI收录）;
[4] Ming Zhang, Weiyan Xu, Xibei Yang, Zhenmin Tang. Incomplete Variable Multigranulation Rough Sets Decision, Applied Mathematics & Information Sciences[J], 2014, 8(3): 1159-1166. (SCI收录)
[3] Ming Zhang, Zhenmin Tang, Weiyan Xu, Xibei Yang. A Variable Multigranulation Rough Sets Approach, Lecture Notes in Computer Science, 6840(2012), 315–322. (EI收录).
[2]张明,唐振民, 杨习贝. 可变多粒度粗糙集模型. 模式识别与人工智能[J]. 2012, 25(4): 709-720. (EI收录).
[1] Xibei Yang, Ming Zhang, Huili Dou, Jingyu Yang. “Neighborhood systems-based rough sets in incomplete information system”. Knowledge-Based Systems, 2011, 24(6):858-867. (SCI收录)