Sentao Chen

703 total citations
29 papers, 486 citations indexed

About

Sentao Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cancer Research. According to data from OpenAlex, Sentao Chen has authored 29 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 11 papers in Cancer Research. Recurrent topics in Sentao Chen's work include Domain Adaptation and Few-Shot Learning (18 papers), Cancer-related molecular mechanisms research (11 papers) and Multimodal Machine Learning Applications (10 papers). Sentao Chen is often cited by papers focused on Domain Adaptation and Few-Shot Learning (18 papers), Cancer-related molecular mechanisms research (11 papers) and Multimodal Machine Learning Applications (10 papers). Sentao Chen collaborates with scholars based in China, Australia and Hong Kong. Sentao Chen's co-authors include Lin Zheng, Xiaowei Yang, Cheng Liu, Dazhi Jiang, Dongmin Huang, Hanrui Wu, Mehrtash Harandi, Le Han, Michael K. Ng and Xiaolan Liu and has published in prestigious journals such as IEEE Transactions on Image Processing, Marine Pollution Bulletin and Pattern Recognition.

In The Last Decade

Sentao Chen

29 papers receiving 480 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sentao Chen China	12	267	156	127	118	45	29	486
Ehsan Lotfi Iran	13	248 0.9×	51 0.3×	66 0.5×	134 1.1×	12 0.3×	44	566
Ziyu Wan China	12	83 0.3×	562 3.6×	46 0.4×	110 0.9×	9 0.2×	26	817
Fei Yan China	13	131 0.5×	298 1.9×	60 0.5×	50 0.4×	2 0.0×	49	452
Xingqun Qi China	11	94 0.4×	197 1.3×	12 0.1×	54 0.5×	8 0.2×	29	459
Runbo Hu China	9	213 0.8×	322 2.1×	47 0.4×	16 0.1×	16 0.4×	19	473
Rui Qian China	11	307 1.1×	501 3.2×	17 0.1×	23 0.2×	14 0.3×	26	660
Yuanyuan Ding China	13	209 0.8×	438 2.8×	44 0.3×	21 0.2×	7 0.2×	35	671
Qi Zhu China	11	155 0.6×	245 1.6×	19 0.1×	83 0.7×	13 0.3×	48	440
Mahdieh Soleymani Baghshah Iran	15	423 1.6×	323 2.1×	10 0.1×	23 0.2×	14 0.3×	52	676
Shishir Maheshwari India	7	75 0.3×	235 1.5×	72 0.6×	100 0.8×		10	586

Countries citing papers authored by Sentao Chen

Since Specialization

Citations

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

Fields of papers citing papers by Sentao Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sentao Chen

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

Xuan, Ping, Xiaoying Qi, Sentao Chen, et al.. (2025). Subgraph Topology and Dynamic Graph Topology Enhanced Graph Learning and Pairwise Feature Context Relationship Integration for Predicting Disease-Related miRNAs. Journal of Chemical Information and Modeling. 65(3). 1631–1640. 1 indexed citations

Gu, Jing, Tiangang Zhang, Sentao Chen, et al.. (2025). Neighborhood Topology-Aware Knowledge Graph Learning and Microbial Preference Inferring for Drug-Microbe Association Prediction. Journal of Chemical Information and Modeling. 65(1). 435–445. 2 indexed citations

Chen, Sentao, Ping Xuan, & Zhifeng Hao. (2025). Joint Distribution Weighted Alignment for Multi-Source Domain Adaptation via Kernel Relative Entropy Estimation. IEEE Transactions on Multimedia. 27. 6606–6619. 1 indexed citations

Chen, Sentao. (2024). Joint weight optimization for partial domain adaptation via kernel statistical distance estimation. Neural Networks. 180. 106739–106739. 2 indexed citations

Xuan, Ping, et al.. (2024). Gating-Enhanced Hierarchical Structure Learning in Hyperbolic Space and Multi-scale Neighbor Topology Learning in Euclidean Space for Prediction of Microbe-Drug Associations. Journal of Chemical Information and Modeling. 64(19). 7806–7815. 2 indexed citations

Chen, Sentao, et al.. (2024). Maximum likelihood weight estimation for partial domain adaptation. Information Sciences. 676. 120800–120800. 5 indexed citations

Chen, Sentao. (2024). Multi-Source Domain Adaptation with Mixture of Joint Distributions. Pattern Recognition. 149. 110295–110295. 9 indexed citations

Liu, Cheng, Rui Li, Sentao Chen, Lin Zheng, & Dazhi Jiang. (2024). Adaptive dual graph regularization for clustered multi-task learning. Neurocomputing. 574. 127259–127259. 1 indexed citations

Chen, Sentao, Peng Shi, Xiaoting Qiu, et al.. (2023). A Novel C-Type Lectin and Its Potential Role in Feeding and Feed Selection in Ruditapes philippinarum. Fishes. 8(2). 62–62. 2 indexed citations

10.

Wu, Hanrui, et al.. (2023). Collaborative contrastive learning for hypergraph node classification. Pattern Recognition. 146. 109995–109995. 21 indexed citations

11.

Chen, Sentao, et al.. (2023). Training multi-source domain adaptation network by mutual information estimation and minimization. Neural Networks. 171. 353–361. 21 indexed citations

12.

Huang, Hailong, et al.. (2023). Comparative metabarcoding analysis of phytoplankton community composition and diversity in aquaculture water and the stomach contents of Tegillarca granosa during months of growth. Marine Pollution Bulletin. 187. 114556–114556. 8 indexed citations

13.

Chen, Sentao & Liang Chen. (2023). Joint-product representation learning for domain generalization in classification and regression. Neural Computing and Applications. 35(22). 16509–16526. 4 indexed citations

14.

Chen, Sentao, et al.. (2023). Domain generalization by distribution estimation. International Journal of Machine Learning and Cybernetics. 14(10). 3457–3470. 4 indexed citations

15.

Chen, Sentao, et al.. (2022). Domain Generalization by Joint-Product Distribution Alignment. Pattern Recognition. 134. 109086–109086. 21 indexed citations

16.

Wu, Hanrui, et al.. (2021). Joint Visual and Semantic Optimization for zero-shot learning. Knowledge-Based Systems. 215. 106773–106773. 27 indexed citations

17.

Chen, Sentao, Hanrui Wu, & Cheng Liu. (2021). Domain Invariant and Agnostic Adaptation. Knowledge-Based Systems. 227. 107192–107192. 20 indexed citations

18.

Chen, Sentao, et al.. (2020). Subspace Distribution Adaptation Frameworks for Domain Adaptation. IEEE Transactions on Neural Networks and Learning Systems. 31(12). 5204–5218. 42 indexed citations

19.

Yang, Xiaowei, et al.. (2020). Joint distribution matching embedding for unsupervised domain adaptation. Neurocomputing. 412. 115–128. 18 indexed citations

20.

Chen, Sentao, et al.. (2020). Domain Adaptation by Joint Distribution Invariant Projections. IEEE Transactions on Image Processing. 29. 8264–8277. 42 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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