Chen Li

3.4k total citations
124 papers, 2.1k citations indexed

About

Chen Li is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chen Li has authored 124 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Artificial Intelligence, 37 papers in Molecular Biology and 28 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chen Li's work include Topic Modeling (30 papers), Biomedical Text Mining and Ontologies (21 papers) and AI in cancer detection (19 papers). Chen Li is often cited by papers focused on Topic Modeling (30 papers), Biomedical Text Mining and Ontologies (21 papers) and AI in cancer detection (19 papers). Chen Li collaborates with scholars based in China, United States and United Kingdom. Chen Li's co-authors include Xiangrong Zhang, Licheng Jiao, Huiyu Zhou, Tieliang Gong, Camille Laibe, Nicolas Le Novère, Kai He, Nicolás Rodríguez, Vijayalakshmi Chelliah and Lukas Endler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.

In The Last Decade

Chen Li

116 papers receiving 2.0k citations

Peers

Chen Li

CVPR

Odemir Martinez Bruno Brazil

Shanwen Zhang China

Yazhou Ren China

Hsuan-Tien Lin Taiwan

Balaji Krishnapuram United States

Shan He China

Renchu Guan China

Carlos J. Alonso Spain

Huijuan Lu China

Hongfu Liu China

Odemir Martinez Bruno Brazil

Chen Li

424 ×0.6

285 ×0.4

1.3k ×3.1

CVPR

250 ×0.6

110 ×0.6

Citations per year, relative to Chen Li Chen Li (= 1×) peers Odemir Martinez Bruno

Countries citing papers authored by Chen Li

Since Specialization

Citations

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

Fields of papers citing papers by Chen Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Li. A scholar is included among the top collaborators of Chen Li 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 Chen Li. Chen Li 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

Gao, Zeyu, et al.. (2025). From patches to WSIs: A systematic review of deep Multiple Instance Learning in computational pathology. Information Fusion. 119. 103027–103027.

Zhang, Di, et al.. (2025). ProGIS: Prototype-Guided Interactive Segmentation for Pathological Images. IEEE Transactions on Medical Imaging. 45(3). 881–892.

Gong, Tieliang, et al.. (2025). How Does Distribution Matching Help Domain Generalization: An Information-Theoretic Analysis. IEEE Transactions on Information Theory. 71(3). 2028–2053.

Shi, Jiangbo, Chen Li, Tieliang Gong, & Huazhu Fu. (2024). E2-MIL: An explainable and evidential multiple instance learning framework for whole slide image classification. Medical Image Analysis. 97. 103294–103294. 4 indexed citations

Li, Chen, et al.. (2023). An improved unified domain adversarial category-wise alignment network for unsupervised cross-domain sentiment classification. Engineering Applications of Artificial Intelligence. 126. 107108–107108. 3 indexed citations

Dong, Yuxin, Tieliang Gong, Hong Chen, & Chen Li. (2023). Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective. 3642–3650. 1 indexed citations

Shi, Jiangbo, Zeyu Gao, Yang Li, et al.. (2023). MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck for Whole Slide Image Classification. IEEE Transactions on Medical Imaging. 42(12). 3871–3883. 12 indexed citations

Shi, Jiangbo, Xianli Zhang, Zeyu Gao, et al.. (2023). A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image. IEEE Transactions on Medical Imaging. 42(10). 3000–3011. 13 indexed citations

Gong, Tieliang, et al.. (2023). Optimal Randomized Approximations for Matrix-Based Rényi’s Entropy. IEEE Transactions on Information Theory. 69(7). 4218–4234. 2 indexed citations

10.

Gao, Zeyu, Liebin Zhao, Xianli Zhang, et al.. (2023). Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning. IEEE Transactions on Medical Imaging. 42(8). 2348–2359. 15 indexed citations

11.

He, Kai, et al.. (2023). Template-Free Prompting for Few-Shot Named Entity Recognition via Semantic-Enhanced Contrastive Learning. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 18357–18369. 17 indexed citations

12.

Gao, Zeyu, Chang Jia, Xianli Zhang, et al.. (2022). Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast. IEEE Transactions on Medical Imaging. 41(12). 3611–3623. 14 indexed citations

13.

Shi, Jiangbo, Tieliang Gong, Chunbao Wang, & Chen Li. (2022). Semi-Supervised Pixel Contrastive Learning Framework for Tissue Segmentation in Histopathological Image. IEEE Journal of Biomedical and Health Informatics. 27(1). 97–108. 19 indexed citations

14.

Gong, Tieliang, et al.. (2022). Markov Subsampling Based on Huber Criterion. IEEE Transactions on Neural Networks and Learning Systems. 35(2). 2250–2262. 2 indexed citations

15.

Hu, Yue, Xiang Zhu, Lin He, et al.. (2022). Momentary click nitrile synthesis enabled by an aminoazanium reagent. Organic Chemistry Frontiers. 9(13). 3420–3427. 9 indexed citations

16.

He, Kai, Rui Mao, Tieliang Gong, Chen Li, & Erik Cambria. (2022). Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis. IEEE Transactions on Affective Computing. 14(3). 1731–1742. 67 indexed citations

17.

Gao, Zeyu, Xianli Zhang, Jialun Wu, et al.. (2022). A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images. Medical Image Analysis. 83. 102652–102652. 42 indexed citations

18.

He, Kai, et al.. (2022). Virtual prompt pre-training for prototype-based few-shot relation extraction. Expert Systems with Applications. 213. 118927–118927. 46 indexed citations

19.

Huang, Kuan-Hao, Chen Li, & Kai-Wei Chang. (2020). Generating Sports News from Live Commentary: A Chinese Dataset for Sports Game Summarization. 609–615. 3 indexed citations

20.

Lee, Edmund W. J., Han Zheng, Chen Li, et al.. (2020). Examining Organizational, Cultural, and Individual-Level Factors Related to Workplace Safety and Health: A Systematic Review and Metric Analysis. Health Communication. 36(5). 529–539. 9 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.

Explore authors with similar magnitude of impact