在研科研项目：

1.基于代数拓扑与组合图论的药物分子类药属性预测，武汉纺织大学，校基金特别项目，重点项目，2024.01-2026.12，主持

2.非马氏细胞内部过程的建模与分析，国家自然科学基金面上项目，No.12271416, 2023.01-2026.12，参与

主持过的科研项目：

1.修复机制下的相互依赖网络抗毁性研究，No.11405118，国家青年科学基金项目，2015.01 – 2017.12。

2.基于城市交通系统的相互依赖网络的抗毁性研究，人社厅函[2014]240号，人力资源社会保障部，启动项目，2015.01 -2016.12。

3.中国航空公司合并对其航空网络结构优化及鲁棒性的影响，16D049，省教育厅，2016.05-2019.09，重点项目。

4.城市物流配送网络的结构优化分析，B2016066，省教育厅，2016.01-2017.12，指导性项目。

5.湖北省纺织产业集群研究，N0.2016081，中国纺织工业联合会科技指导性项目，2016.09-2017.08。

6.城市公共交通网络的抗毁性研究，No.133100，武汉纺织大学，2013.07-2015.07。

7.多层复杂网络的结构及动力学研究，No.153011，武汉纺织大学科技创新计划，2016.01-2016.12。

8.基于复杂网络理论的纺织产业集群研究，武汉纺织大学未来之星助推计划，2016.06 -2018.06。  

9.深度学习在药物设计中的应用，武汉纺织大学科技创新计划项目，2019.01-2019.12。

近5年发表文章:  

1. Jiang J (江健), Chen L, Ke L, Dou B, Zhu Y, Shi Y, Qiu H, Zhang B, Zhou T, Wei G-W. Machine learning predictions from unpredictable chaos. J. R. Soc. Interface 22: 20250441 (2025)

2. Jian Jiang (江健), Chunhuan Zhang, Lu Ke, Nicole Hayes, Yueying Zhu, Huahai Qiu, Bengong Zhang, Tianshou Zhou, and Guo-Wei Wei, A review of machine learning methods for imbalanced data challenges in chemistry, Chem. Sci., 16, 7637（2025）

3. Jian Jiang (江健), Long Chen, Lu ke, Bozheng Dou, Chunhuan Zhang, Hongsong Feng, Yueying Zhu, Huhai Qiu, Bengong Zhang, Guowei Wei, A review of transformers in drug discovery and beyond, Journal of Pharmaceutical Analysis, 15, 6, 101081 (2025) 

4. Jian Jiang (江健), Long Chen, Yueying Zhu, Yazhou Shi, Huahai Qiu, Bengong Zhang, Tianshou Zhou, and Guo-Wei Wei, Proteomic Learning of Gamma- Aminobutyric Acid (GABA) Receptor-Mediated Anesthesia, J. Chem. Inf. Model. 65, 3655−3668 (2025)

5. Jian Jiang (江健), Lu Ke, Long Chen, Bozheng Dou, Yueying Zhu, Jie Liu, Bengong Zhang, Tianshou Zhou, and Guo-Wei Wei. Transformer technology in molecular science. WIREs Comput Mol Sci. 14(4):e1725, (2024) 

6. Long Chen, Jian Jiang (江健), Bozheng Dou, Hongsong Feng, Jie Liu, Yueying Zhu, Bengong Zhang, Tianshou Zhou, and Guo-Wei Wei, Machine learning study of the extended drug-target interaction network informed by pain related voltage-gated sodium channels, Pain, 165(4): 908-921, (2024) 

7. Rui Sun, Wenjie Cao, Shengxuan Li, Jian Jiang (江健), Yazhou Shi, and Bengong Zhang, scGRN-Entropy: Inferring cell differentiation trajectories using single-cell data and gene regulation network-based transfer entropy, PLoS Comput Biol 20(11): e1012638 (2024)  

8. Bozheng Dou, Zailiang Zhu, Ekaterina Merkurjev, Lu Ke, Long Chen, Jian Jiang (江健), Yueying Zhu, Jie Liu, Bengong Zhang, and Guo-Wei Wei, Machine Learning Methods for Small Data Challenges in Molecular Science, Chemical Reviews, 123, 13, 8736-8780, (2023) (2024高被引论文）

9. Zailiang Zhu, Bozheng Dou, Yukang Cao, Jian Jiang (江健), Yueying Zhu, Dong Chen, Hongsong Feng, Jie Liu, Bengong Zhang, Tianshou Zhou, Guo-Wei Wei, TIDAL: Topology-Inferred Drug Addiction Learning, J. Chem. Inf. Model, 63, 1472-1489 (2023) 

10. Hongsong Feng, Rana Elladki, Jian Jiang (江健), and Guo-Wei Wei, Machine learning Analysis of Opioid Use Disorder Informed by MOR, DOR, KOR, NOR and ZOR-Based Interactome Networks, Computers in Biology and Medicine, 157, 106745, (2023) 

11. Hongsong Feng, Jian Jiang (江健), and Guo-Wei Wei, Machine learning Repurposing of DrugBank Compounds for Opioid Use Disorder, Computers in Biology and Medicine, 160, 106921, (2023) 

12. Jian Jiang (江健), Rui Wang and Guo-Wei Wei, GGL-Tox: Geometric Graph Learning for Toxicity Prediction, J. Chem. Inf. Model, 61:1691-1700 (2021) 

13. Jian Jiang (江健), Rui Wang, Menglun Wang, Kaifu Gao, Duc Duy Nguyen and Guo-Wei Wei, Boosting Tree-Assisted Multitask Deep Learning for Small Scientific Datasets, J. Chem. Inf. Model. 60. 1235-1244 (2020) 

出版专著：

《复杂社会网络实证与多层网络建模》，科学出版社，ISBN: 978-7-03-053897-0，2017.06，江健 著