Jingwei Chen

1.4k total citations · 1 hit paper
28 papers, 808 citations indexed

About

Jingwei Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Jingwei Chen has authored 28 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. Recurrent topics in Jingwei Chen's work include Optimization and Search Problems (6 papers), Face and Expression Recognition (6 papers) and Polynomial and algebraic computation (5 papers). Jingwei Chen is often cited by papers focused on Optimization and Search Problems (6 papers), Face and Expression Recognition (6 papers) and Polynomial and algebraic computation (5 papers). Jingwei Chen collaborates with scholars based in China, Canada and United States. Jingwei Chen's co-authors include Chenglong Bao, Linfeng Zhang, Jiebo Song, Kaisheng Ma, Nathan Sturtevant, Xiangyang Wang, Robert C. Holte, Hongying Yang, Sandra Zilles and Yongwei Li and has published in prestigious journals such as Information Sciences, IEEE Transactions on Fuzzy Systems and Artificial Intelligence.

In The Last Decade

Jingwei Chen

24 papers receiving 791 citations

Hit Papers

align trajectories

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.

Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation

2019 557 citations Linfeng Zhang, Jiebo Song et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jingwei Chen China	9	451	433	78	68	56	28	808
Donghyun Kim South Korea	15	508 1.1×	591 1.4×	63 0.8×	45 0.7×	60 1.1×	59	998
Chengliang Liu China	17	434 1.0×	500 1.2×	84 1.1×	48 0.7×	45 0.8×	46	828
Ruihao Gong China	14	751 1.7×	666 1.5×	79 1.0×	76 1.1×	55 1.0×	34	1.2k
Mahsa Baktashmotlagh Australia	15	482 1.1×	580 1.3×	67 0.9×	45 0.7×	38 0.7×	39	945
Qi Fan China	9	435 1.0×	280 0.6×	77 1.0×	69 1.0×	76 1.4×	27	686
Dawei Li United States	11	489 1.1×	353 0.8×	105 1.3×	45 0.7×	154 2.8×	50	812

Countries citing papers authored by Jingwei Chen

Since Specialization

Citations

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

Fields of papers citing papers by Jingwei Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingwei Chen

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

Chen, Jingwei, et al.. (2025). Harmonic Fast One-Step Cut: An Efficient Strategy for Spectral Clustering Optimization. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 15167–15180.

Chen, Jingwei, et al.. (2025). Adaptive Deep Metric Learning with harmonized loss and nearest proxy alignment for low-dimensional representation. Knowledge-Based Systems. 320. 113631–113631.

Chen, Jingwei, et al.. (2025). Graph Clustering With Harmonic-Maxmin Cut Guidance. IEEE Transactions on Knowledge and Data Engineering. 37(5). 2600–2613.

Zhu, Jianyong, Jingwei Chen, Bin Xu, Hui Yang, & Feiping Nie. (2023). Fast orthogonal locality-preserving projections for unsupervised feature selection. Neurocomputing. 531. 100–113. 8 indexed citations

Chen, Jingwei, et al.. (2022). Sparsity Fuzzy C-Means Clustering With Principal Component Analysis Embedding. IEEE Transactions on Fuzzy Systems. 31(7). 2099–2111. 12 indexed citations

Chen, Jingwei, et al.. (2022). A novel method for optimizing spectral rotation embedding K-means with coordinate descent. Information Sciences. 612. 1095–1110. 3 indexed citations

Chen, Jingwei & Nathan Sturtevant. (2021). Necessary and Sufficient Conditions for Avoiding Reopenings in Best First Suboptimal Search with General Bounding Functions. Proceedings of the AAAI Conference on Artificial Intelligence. 35(5). 3688–3696. 4 indexed citations

Sturtevant, Nathan, et al.. (2020). Predicting the Effectiveness of Bidirectional Heuristic Search. Proceedings of the International Conference on Automated Planning and Scheduling. 30. 281–290. 2 indexed citations

Zhang, Linfeng, et al.. (2019). Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation. 3712–3721. 557 indexed citations breakdown →

10.

Uzun, Fatih, Alexey I. Salimon, Eugene S. Statnik, et al.. (2019). Polar transformation of 2D X-ray diffraction patterns and the experimental validation of the hDIC technique. Measurement. 151. 107193–107193. 12 indexed citations

11.

Chen, Jingwei & Nathan Sturtevant. (2019). Conditions for Avoiding Node Re-expansions in Bounded Suboptimal Search. 1220–1226. 8 indexed citations

12.

Chen, Jingwei, et al.. (2018). Marine infrared image enhancement based on atmospheric model and CLAHE. 39. 113–113.

13.

Holte, Robert C., Ariel Felner, Guni Sharon, Nathan Sturtevant, & Jingwei Chen. (2017). MM: A bidirectional search algorithm that is guaranteed to meet in the middle. Artificial Intelligence. 252. 232–266. 30 indexed citations

14.

Chen, Jingwei, et al.. (2017). Sufficient Conditions for Node Expansion in Bidirectional Heuristic Search. Proceedings of the International Conference on Automated Planning and Scheduling. 27. 79–87. 22 indexed citations

15.

Sturtevant, Nathan & Jingwei Chen. (2016). External memory bidirectional search. International Joint Conference on Artificial Intelligence. 676–682. 8 indexed citations

16.

Wang, Xiangyang, et al.. (2014). A new SVM-based active feedback scheme for image retrieval. Engineering Applications of Artificial Intelligence. 37. 43–53. 21 indexed citations

17.

Qin, Xiaolin, Yong Feng, Jingwei Chen, & Jingzhong Zhang. (2013). Parallel computation of real solving bivariate polynomial systems by zero-matching method. Applied Mathematics and Computation. 219(14). 7533–7541. 5 indexed citations

18.

Qin, Xiaolin, Yong Feng, Jingwei Chen, & Jingzhong Zhang. (2012). A complete algorithm to find exact minimal polynomial by approximations. International Journal of Computer Mathematics. 89(17). 2333–2344. 3 indexed citations

19.

Qin, Xiaolin, Yong Feng, Jingwei Chen, & Jingzhong Zhang. (2009). Finding exact minimal polynomial by approximations. 125–132. 2 indexed citations

20.

Chen, Jingwei, Yong Feng, Xiaolin Qin, & Jingzhong Zhang. (2009). Exact polynomial factorization by approximate high degree algebraic numbers. 21–28. 2 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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