Wei-Jie Chen

1.7k total citations
57 papers, 1.3k citations indexed

About

Wei-Jie Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Wei-Jie Chen has authored 57 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 34 papers in Artificial Intelligence and 14 papers in Control and Systems Engineering. Recurrent topics in Wei-Jie Chen's work include Face and Expression Recognition (34 papers), Machine Learning and ELM (13 papers) and Advanced Algorithms and Applications (11 papers). Wei-Jie Chen is often cited by papers focused on Face and Expression Recognition (34 papers), Machine Learning and ELM (13 papers) and Advanced Algorithms and Applications (11 papers). Wei-Jie Chen collaborates with scholars based in China, United States and Australia. Wei-Jie Chen's co-authors include Yuan‐Hai Shao, Nai-Yang Deng, Zhen Wang, Chun‐Na Li, Zhimin Yang, Nicholas Petrick, Ivor W. Tsang, Jing Chai, Berkman Sahiner and Aria Pezeshk and has published in prestigious journals such as Chemistry of Materials, Journal of Hazardous Materials and Expert Systems with Applications.

In The Last Decade

Wei-Jie Chen

55 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei-Jie Chen China 20 823 790 294 114 106 57 1.3k
Reshma Rastogi India 21 706 0.9× 734 0.9× 252 0.9× 90 0.8× 93 0.9× 67 1.3k
Chun‐Na Li China 19 695 0.8× 561 0.7× 183 0.6× 185 1.6× 53 0.5× 71 1.1k
Takashi Onoda Japan 12 476 0.6× 811 1.0× 252 0.9× 70 0.6× 218 2.1× 73 1.4k
Lingfeng Niu China 16 447 0.5× 711 0.9× 71 0.2× 155 1.4× 63 0.6× 82 1.2k
Julio López Chile 17 351 0.4× 708 0.9× 108 0.4× 96 0.8× 94 0.9× 54 1.2k
D.A. Karras Greece 18 625 0.8× 424 0.5× 81 0.3× 47 0.4× 109 1.0× 160 1.5k
David R. Musicant United States 15 376 0.5× 526 0.7× 138 0.5× 106 0.9× 35 0.3× 30 1.1k
Mahdi Eftekhari Iran 23 259 0.3× 590 0.7× 194 0.7× 44 0.4× 101 1.0× 135 1.5k
Pei-Yi Hao Taiwan 12 262 0.3× 404 0.5× 126 0.4× 23 0.2× 76 0.7× 30 793
Razieh Sheikhpour Iran 16 421 0.5× 570 0.7× 55 0.2× 35 0.3× 77 0.7× 46 1.2k

Countries citing papers authored by Wei-Jie Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Jie Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei-Jie Chen

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

All Works

20 of 20 papers shown
1.
Wang, Jie, et al.. (2025). Nonlinear feature selection for support vector quantile regression. Neural Networks. 185. 107136–107136.
2.
Li, Tingyu, Hanyu Zhang, Wenqi Xu, et al.. (2024). The involvement of SigmaR1K142 degradation mediated by ERAD in neural senescence linked with CdCl2 exposure. Journal of Hazardous Materials. 472. 134466–134466. 6 indexed citations
3.
Chen, Wei-Jie, et al.. (2024). L 1 -norm twin support vector quantile regression. Applied Soft Computing. 169. 112580–112580. 1 indexed citations
4.
Chen, Wei-Jie, et al.. (2024). Financial technology as a heterogeneous driver of carbon emission reduction in China: Evidence from a novel sparse quantile regression. Journal of Innovation & Knowledge. 9(2). 100476–100476. 12 indexed citations
5.
Liu, Shuo, Weiqi Guo, Wei-Jie Chen, et al.. (2023). Inhalation exposure assessment techniques on ventilation dilution of infectious respiratory particles in a retrofitted hospital lung function room. Building and Environment. 242. 110544–110544. 7 indexed citations
6.
Chen, Wei-Jie, Xinyan Wang, & Yuhang Wang. (2023). FFF: Fragment-Guided Flexible Fitting for Building Complete Protein Structures. 19776–19785.
7.
Xu, Zhihu, et al.. (2023). Twin support vector quantile regression. Expert Systems with Applications. 237. 121239–121239. 9 indexed citations
8.
Chen, Wei-Jie, et al.. (2022). Novel Feature Selection Method for Nonlinear Support Vector Regression. Complexity. 2022(1). 10 indexed citations
9.
Chen, Wei-Jie, et al.. (2022). Notes on Carex (Cyperaceae) from China (VII): new synonyms and imperfectly known species. Phytotaxa. 531(1). 54–62. 1 indexed citations
10.
Li, Chun‐Na, Yuan‐Hai Shao, Wei-Jie Chen, Zhen Wang, & Nai-Yang Deng. (2021). Generalized two-dimensional linear discriminant analysis with regularization. Neural Networks. 142. 73–91. 17 indexed citations
11.
Chen, Wei-Jie, et al.. (2020). NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm. Applied Soft Computing. 90. 106142–106142. 12 indexed citations
12.
Chen, Wei-Jie, et al.. (2019). ν-projection twin support vector machine for pattern classification. Neurocomputing. 376. 10–24. 20 indexed citations
13.
Shao, Yuan‐Hai, et al.. (2018). Minimum deviation distribution machine for large scale regression. Knowledge-Based Systems. 146. 167–180. 6 indexed citations
14.
Li, Chun‐Na, et al.. (2017). Robust recursive absolute value inequalities discriminant analysis with sparseness. Neural Networks. 93. 205–218. 14 indexed citations
15.
Chen, Wei-Jie, Berkman Sahiner, F. W. Samuelson, Aria Pezeshk, & Nicholas Petrick. (2016). Calibration of medical diagnostic classifier scores to the probability of disease. Statistical Methods in Medical Research. 27(5). 1394–1409. 14 indexed citations
16.
Chen, Wei-Jie, et al.. (2016). Proper bibeta ROC model: algorithm, software, and performance evaluation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3 indexed citations
17.
Shao, Yuan‐Hai, Wei-Jie Chen, Liming Liu, & Nai-Yang Deng. (2015). Laplacian unit-hyperplane learning from positive and unlabeled examples. Information Sciences. 314. 152–168. 19 indexed citations
18.
Chen, Wei-Jie, Adam Wunderlich, Nicholas Petrick, & Brandon D. Gallas. (2014). Multireader multicase reader studies with binary agreement data: simulation, analysis, validation, and sizing. Journal of Medical Imaging. 1(3). 31011–31011. 9 indexed citations
19.
Li, Guisen, Wanliang Wang, Xin‐Wei Yao, & Wei-Jie Chen. (2013). SOBP: a sender-designated opportunistic broadcast protocol for VANET. Telecommunication Systems. 53(4). 453–467. 12 indexed citations
20.
Chen, Wei-Jie, et al.. (2010). PFL: Proactive Fuzzy-logic-based AQM Algorithm for Best-effort Networks. 315–318. 5 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

Breakdown of academic impact, for papers by Reshma Rastogi Breakdown of academic impact, for papers by Chun‐Na Li Breakdown of academic impact, for papers by Takashi Onoda Breakdown of academic impact, for papers by Lingfeng Niu Breakdown of academic impact, for papers by Julio López Breakdown of academic impact, for papers by D.A. Karras Breakdown of academic impact, for papers by David R. Musicant Breakdown of academic impact, for papers by Mahdi Eftekhari Breakdown of academic impact, for papers by Pei-Yi Hao Breakdown of academic impact, for papers by Razieh Sheikhpour
Rankless by CCL
2026