Jian‐Yu Shi

2.6k total citations
81 papers, 1.8k citations indexed

About

Jian‐Yu Shi is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Jian‐Yu Shi has authored 81 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 41 papers in Computational Theory and Mathematics and 15 papers in Materials Chemistry. Recurrent topics in Jian‐Yu Shi's work include Computational Drug Discovery Methods (41 papers), Machine Learning in Bioinformatics (18 papers) and Bioinformatics and Genomic Networks (16 papers). Jian‐Yu Shi is often cited by papers focused on Computational Drug Discovery Methods (41 papers), Machine Learning in Bioinformatics (18 papers) and Bioinformatics and Genomic Networks (16 papers). Jian‐Yu Shi collaborates with scholars based in China, Hong Kong and United States. Jian‐Yu Shi's co-authors include Hui Yu, Siu‐Ming Yiu, Shao‐Wu Zhang, Jian Feng, Quan Pan, Zun Liu, Huang Zhang, Yongmei Cheng, Hua Huang and Yanning Zhang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Jian‐Yu Shi

76 papers receiving 1.8k citations

Peers

Countries citing papers authored by Jian‐Yu Shi

Since Specialization

Citations

This map shows the geographic impact of Jian‐Yu Shi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jian‐Yu Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian‐Yu Shi more than expected).

Fields of papers citing papers by Jian‐Yu Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jian‐Yu Shi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jian‐Yu Shi. The network helps show where Jian‐Yu Shi may publish in the future.

Co-authorship network of co-authors of Jian‐Yu Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Jian‐Yu Shi. A scholar is included among the top collaborators of Jian‐Yu Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jian‐Yu Shi. Jian‐Yu Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Single-step retrosynthesis prediction via multitask graph representation learning 2025 ·Nature Communications ·Pengcheng Zhao, Xue-Xin Wei, Qiong Wang, (unknown), Jianing Li, (unknown), Cheng Lü, Jian‐Yu Shi	4
2	Multi-view clustering with semantic fusion and contrastive learning 2024 ·Neurocomputing ·Hui Yu, (unknown), (unknown), Zun Liu, Jian‐Yu Shi	4
3	Isorhamnetin Alleviates Renal Fibrosis by Inducing Endogenous Hydrogen Sulfide and Regulating Thiol-Based Redox State in Obstructed Kidneys 2024 ·Biomolecules ·Zhen Zhang, Haiyan Zhang, Jian‐Yu Shi, Zheng Wang, Yanni Liang, Jingao Yu, (unknown), Zhongxing Song, Zhishu Tang, Dong-Bo Zhang, Jian Yao	9
4	Recognition of cyanobacteria promoters via Siamese network-based contrastive learning under novel non-promoter generation 2024 ·Briefings in Bioinformatics ·(unknown), Jianing Li, Jinlu Hu, Jian‐Yu Shi	2
5	Prediction of drug–target binding affinity based on multi-scale feature fusion 2024 ·Computers in Biology and Medicine ·Hui Yu, Wenxin Xu, Tan Tian Swee, Zun Liu, Jian‐Yu Shi	4
6	Identifying the reaction centers of molecule based on dual-view representation 2024 ·Knowledge-Based Systems ·Hui Yu, Jing Wang, Chao Song, Jian‐Yu Shi	1
7	CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learning 2023 ·Bioinformatics ·(unknown), Yahui Long, Xiaoli Li, Min Wu, Jian‐Yu Shi	7
8	CProMG: controllable protein-oriented molecule generation with desired binding affinity and drug-like properties 2023 ·Bioinformatics ·Jianing Li, (unknown), Pengcheng Zhao, Xue-Xin Wei, Jian‐Yu Shi	9
9	GGI-DDI: Identification for key molecular substructures by granule learning to interpret predicted drug–drug interactions 2023 ·Expert Systems with Applications ·Hui Yu, Jing Wang, Shiyu Zhao, (unknown), Zun Liu, JingTao Yao, Jian‐Yu Shi	9
10	HnRNP A2/B1 as a potential anti-tumor target for triptolide based on a simplified thermal proteome profiling method using XGBoost 2023 ·Phytomedicine ·Peng Chen, Pengcheng Zhao, (unknown), Lili Wang, Lei Tong, Bin Liu, Li Li, Jian‐Yu Shi, Cheng Lü	6
11	Few-Shot Drug Synergy Prediction With a Prior-Guided Hypernetwork Architecture 2023 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·(unknown), Shao‐Wu Zhang, Jian Feng, Jian‐Yu Shi	12
12	Comprehensive Review of Drug–Drug Interaction Prediction Based on Machine Learning: Current Status, Challenges, and Opportunities 2023 ·Journal of Chemical Information and Modeling ·Ningning Wang, (unknown), (unknown), Shao Liu, Jian‐Yu Shi, Dongsheng Cao	14
13	A social theory-enhanced graph representation learning framework for multitask prediction of drug–drug interactions 2023 ·Briefings in Bioinformatics ·Jian Feng, Shao‐Wu Zhang, (unknown), Qingqing Zhang, Minghui Shi, Jian‐Yu Shi	11
14	DGANDDI: Double Generative Adversarial Networks for Drug-Drug Interaction Prediction 2022 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Hui Yu, (unknown), Jian‐Yu Shi	15
15	MLGL-MP: a Multi-Label Graph Learning framework enhanced by pathway interdependence for Metabolic Pathway prediction 2022 ·Bioinformatics ·(unknown), Pengcheng Zhao, (unknown), Siu‐Ming Yiu, (unknown), Hui Yu, Jian‐Yu Shi	15
16	deepMDDI: A deep graph convolutional network framework for multi-label prediction of drug-drug interactions 2022 ·Analytical Biochemistry ·Jian Feng, Shao‐Wu Zhang, Qingqing Zhang, Chuhan Zhang, Jian‐Yu Shi	30
17	Directed graph attention networks for predicting asymmetric drug–drug interactions 2022 ·Briefings in Bioinformatics ·(unknown), Hui Yu, Jian Feng, Jian‐Yu Shi	23
18	Detecting drug communities and predicting comprehensive drug–drug interactions via balance regularized semi-nonnegative matrix factorization 2019 ·Journal of Cheminformatics ·Jian‐Yu Shi, (unknown), Hui Yu, Siu‐Ming Yiu	55
19	An Integrated Local Classification Model of Predicting Drug-Drug Interactions via Dempster-Shafer Theory of Evidence 2018 ·Scientific Reports ·Jian‐Yu Shi, Xuequn Shang, (unknown), Shao‐Wu Zhang, Siu‐Ming Yiu	8
20	Local Phase Quantization Texture Descriptor for Protein Classification. 2010 ·Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) ·Sheryl Brahnam, Loris Nanni, Jian‐Yu Shi, Alessandra Lumini	7

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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