Yi Pan

24.3k total citations · 7 hit papers
615 papers, 16.9k citations indexed

About

Yi Pan is a scholar working on Molecular Biology, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Yi Pan has authored 615 papers receiving a total of 16.9k indexed citations (citations by other indexed papers that have themselves been cited), including 232 papers in Molecular Biology, 180 papers in Computer Networks and Communications and 122 papers in Computational Theory and Mathematics. Recurrent topics in Yi Pan's work include Bioinformatics and Genomic Networks (110 papers), Computational Drug Discovery Methods (92 papers) and Machine Learning in Bioinformatics (87 papers). Yi Pan is often cited by papers focused on Bioinformatics and Genomic Networks (110 papers), Computational Drug Discovery Methods (92 papers) and Machine Learning in Bioinformatics (87 papers). Yi Pan collaborates with scholars based in United States, China and Canada. Yi Pan's co-authors include Jianxin Wang, Min Li, Fang‐Xiang Wu, Jin Liu, Yu Tang, Wei Lan, Shi‐Jinn Horng, Xiaoqing Peng, Xiujuan Lei and Xiaojun Cao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Yi Pan

581 papers receiving 16.3k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CytoNCA: A cytoscape plugin for centrality analysis and evaluation of protein interaction networks

2014 870 citations Jianxin Wang, Yi Pan et al. profile →
Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm

2016 329 citations Jianxin Wang, Fang‐Xiang Wu et al. profile →
Artificial intelligence in cancer target identification and drug discovery

2022 236 citations Yi Pan et al. profile →
Generative Adversarial Networks

2021 226 citations Yi Pan et al. ACM Computing Surveys profile →
Personalized Federated Learning With Model-Contrastive Learning for Multi-Modal User Modeling in Human-Centric Metaverse

2024 64 citations Yi Pan et al. IEEE Journal on Selected Areas in Communications profile →
DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery

2024 46 citations Wei Lan, Qingfeng Chen et al. Briefings in Bioinformatics profile →
The Large Language Models on Biomedical Data Analysis: A Survey

2025 17 citations Wei Lan, Wei Peng et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yi Pan	6.6k	3.2k	3.1k	2.6k	2.2k	615	16.9k
Jianxin Wang	10.3k 1.6×	4.0k 1.3×	2.6k 0.8×	2.1k 0.8×	1.9k 0.9×	1.1k	22.1k
Wei Wang	6.0k 0.9×	1.8k 0.6×	2.7k 0.9×	6.3k 2.4×	616 0.3×	857	20.3k
Nir Friedman	17.5k 2.6×	1.4k 0.4×	961 0.3×	7.8k 3.0×	514 0.2×	210	30.5k
Jianqiang Li	2.6k 0.4×	1.3k 0.4×	2.0k 0.7×	2.7k 1.0×	1.3k 0.6×	495	11.8k
Xiaoli Li	4.3k 0.7×	2.0k 0.6×	713 0.2×	4.2k 1.6×	640 0.3×	531	13.9k
Kenli Li	1.7k 0.3×	1.1k 0.3×	5.6k 1.8×	4.4k 1.7×	1.8k 0.8×	695	16.6k
Mark Hall	2.8k 0.4×	1.2k 0.4×	2.0k 0.6×	7.8k 3.0×	723 0.3×	88	18.8k
Geoffrey I. Webb	4.2k 0.6×	1.6k 0.5×	871 0.3×	5.3k 2.0×	573 0.3×	252	14.1k
De-Shuang Huang	4.1k 0.6×	890 0.3×	614 0.2×	2.6k 1.0×	470 0.2×	331	11.1k
Keqin Li	1.6k 0.2×	1.1k 0.4×	10.9k 3.5×	5.0k 1.9×	3.5k 1.6×	957	22.0k

Countries citing papers authored by Yi Pan

Since Specialization

Citations

This map shows the geographic impact of Yi Pan'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 Yi Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Pan more than expected).

Fields of papers citing papers by Yi Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi Pan. 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 Yi Pan. The network helps show where Yi Pan may publish in the future.

Co-authorship network of co-authors of Yi Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Pan. A scholar is included among the top collaborators of Yi Pan 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 Yi Pan. Yi Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Pan, Yi, Wenxue Li, Jingbin� Huang, et al.. (2025). Electrooxidation-induced arylsulfonylation of xanthene derivatives with DABSO as an SO ₂ surrogate. Organic & Biomolecular Chemistry. 23(21). 5081–5085.

Pan, Yi, et al.. (2025). Vitisin A inhibits liver fibrosis by promoting Nrf2/HO-1 pathway and inhibiting Cuproptosis. Scientific Reports. 15(1). 44186–44186.

Shi, Kaichuang, et al.. (2024). Genetic and Phylogenetic Analysis of Feline Coronavirus in Guangxi Province of China from 2021 to 2024. Veterinary Sciences. 11(10). 455–455. 1 indexed citations

He, Jianliang, Yadong Xu, Yi Pan, & Yulin Wang. (2024). Adaptive weighted generative adversarial network with attention mechanism: A transfer data augmentation method for tool wear prediction. Mechanical Systems and Signal Processing. 212. 111288–111288. 23 indexed citations

Liu, Jin, et al.. (2024). CFINet: Cross-Modality MRI Feature Interaction Network for Pseudoprogression Prediction of Glioblastoma. Journal of Computational Biology. 32(2). 212–224.

Jin, Hai, Yi Pan, & Jianfeng Lu. (2024). Computer Networks and IoT. Communications in computer and information science. 1 indexed citations

Lan, Wei, et al.. (2024). DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery. Briefings in Bioinformatics. 25(3). 46 indexed citations breakdown →

Wu, Hao, Keliang Zhao, Jintao Meng, et al.. (2023). A Weakly Supervised Learning Method for Cell Detection and Tracking Using Incomplete Initial Annotations. International Journal of Molecular Sciences. 24(22). 16028–16028. 3 indexed citations

Liu, Jianping, Xiujuan Lei, Yuchen Zhang, & Yi Pan. (2023). The prediction of molecular toxicity based on BiGRU and GraphSAGE. Computers in Biology and Medicine. 153. 106524–106524. 32 indexed citations

10.

Zhang, Yuchen, Xiujuan Lei, Cai Dai, Yi Pan, & Fang‐Xiang Wu. (2023). Identify potential circRNA-disease associations through a multi-objective evolutionary algorithm. Information Sciences. 647. 119437–119437. 10 indexed citations

11.

Chakraborty, Nilesh, Jianqiang Li, Victor C. M. Leung, et al.. (2022). Honeyword-based Authentication Techniques for Protecting Passwords: A Survey. ACM Computing Surveys. 55(8). 1–37. 3 indexed citations

12.

Jiang, Wei, et al.. (2022). SGFNNs: Signed Graph Filtering-based Neural Networks for Predicting Drug–Drug Interactions. Journal of Computational Biology. 29(10). 1104–1116. 7 indexed citations

13.

Sun, Zhe, Shuangjia Zheng, Huiying Zhao, et al.. (2021). To Improve Prediction of Binding Residues With DNA, RNA, Carbohydrate, and Peptide Via Multi-Task Deep Neural Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(6). 3735–3743. 16 indexed citations

14.

Peng, Wei, et al.. (2021). Multi-View Feature Aggregation for Predicting Microbe-Disease Association. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(5). 2748–2758. 9 indexed citations

15.

Cui, Laizhong, et al.. (2021). Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates. IEEE Journal on Selected Areas in Communications. 39(8). 2572–2589. 36 indexed citations

16.

Chakraborty, Nilesh, Mithun Mukherjee, Jianqiang Li, Mohammad Shojafar, & Yi Pan. (2021). Cryptanalysis of a Honeyword System in the IoT Platform. IEEE Internet of Things Journal. 9(4). 2614–2626. 3 indexed citations

17.

Yan, Ming, Jianxi Yang, Cen Chen, et al.. (2021). Enhanced gradient learning for deep neural networks. IET Image Processing. 16(2). 365–377. 1 indexed citations

18.

Cheng, Jianhong, et al.. (2020). Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(2). 1084–1095. 44 indexed citations

19.

Cui, Laizhong, Shu Yang, Ziteng Chen, et al.. (2019). An Efficient and Compacted DAG-Based Blockchain Protocol for Industrial Internet of Things. IEEE Transactions on Industrial Informatics. 16(6). 4134–4145. 79 indexed citations

20.

Peng, Wei, Wei Lan, Jiancheng Zhong, Jianxin Wang, & Yi Pan. (2017). A novel method of predicting microRNA-disease associations based on microRNA, disease, gene and environment factor networks. Methods. 124. 69–77. 25 indexed citations

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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