Wuxing Chen

494 total citations · 1 hit paper
12 papers, 215 citations indexed

About

Wuxing Chen is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wuxing Chen has authored 12 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Electrical and Electronic Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wuxing Chen's work include Machine Learning and ELM (6 papers), Imbalanced Data Classification Techniques (5 papers) and Electricity Theft Detection Techniques (4 papers). Wuxing Chen is often cited by papers focused on Machine Learning and ELM (6 papers), Imbalanced Data Classification Techniques (5 papers) and Electricity Theft Detection Techniques (4 papers). Wuxing Chen collaborates with scholars based in China and Australia. Wuxing Chen's co-authors include Kaixiang Yang, Zhiwen Yu, C. L. Philip Chen, Yifan Shi, Weiwen Zhang, Fengji Luo, Feiping Nie, Bowen Zhao, Xianling Yang and Guojie Li and has published in prestigious journals such as Applied Energy, Information Sciences and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Wuxing Chen

11 papers receiving 211 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.

A survey on imbalanced learning: latest research, applications and future directions

2024 124 citations Wuxing Chen, Kaixiang Yang et al. Artificial Intelligence Review profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wuxing Chen China	7	132	47	35	29	18	12	215
Hanae Elmekki Canada	5	75 0.6×	30 0.6×	34 1.0×	13 0.4×	10 0.6×	9	217
Rahul Joshi India	6	121 0.9×	51 1.1×	16 0.5×	26 0.9×	9 0.5×	28	225
Kent Gauen United States	5	96 0.7×	44 0.9×	103 2.9×	7 0.2×	5 0.3×	8	235
Jingyang Yuan China	4	100 0.8×	15 0.3×	37 1.1×	14 0.5×	7 0.4×	9	189
Tae Jong Choi South Korea	10	126 1.0×	36 0.8×	45 1.3×	24 0.8×	8 0.4×	30	230
Yuxuan Luo China	4	140 1.1×	19 0.4×	82 2.3×	32 1.1×	18 1.0×	12	260
Junhao Zheng China	9	91 0.7×	16 0.3×	51 1.5×	37 1.3×	10 0.6×	38	249
Yun Wu China	9	77 0.6×	28 0.6×	126 3.6×	8 0.3×	8 0.4×	53	262

Countries citing papers authored by Wuxing Chen

Since Specialization

Citations

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

Fields of papers citing papers by Wuxing Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wuxing Chen

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

All Works

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12 of 12 papers shown

1.

Chen, Wuxing, Kaixiang Yang, Zhiwen Yu, Feiping Nie, & C. L. Philip Chen. (2025). Adaptive Broad Network With Graph-Fuzzy Embedding for Imbalanced Noise Data. IEEE Transactions on Fuzzy Systems. 33(6). 1949–1962. 9 indexed citations

2.

Chen, Wuxing, Zhiwen Yu, Kaixiang Yang, et al.. (2025). Minimum variance weighted broad cascade network structure for imbalanced classification. Knowledge-Based Systems. 324. 113803–113803.

3.

Yu, Zhiwen, Kaixiang Yang, Wuxing Chen, et al.. (2025). Diverse Models, United Goal: A Comprehensive Survey of Ensemble Learning. CAAI Transactions on Intelligence Technology. 10(4). 959–982. 1 indexed citations

4.

Yu, Zhiwen, et al.. (2024). Multiview ensemble clustering of hypergraph p-Laplacian regularization with weighting and denoising. Information Sciences. 681. 121187–121187. 1 indexed citations

5.

Zhang, Weiwen, et al.. (2024). Self-balancing Incremental Broad Learning System with privacy protection. Neural Networks. 178. 106436–106436. 3 indexed citations

6.

Yang, Kaixiang, et al.. (2024). Simplified Kernel-Based Cost-Sensitive Broad Learning System for Imbalanced Fault Diagnosis. IEEE Transactions on Artificial Intelligence. 5(12). 6629–6644. 6 indexed citations

7.

Yang, Kaixiang, et al.. (2024). Solving the Imbalanced Problem by Metric Learning and Oversampling. IEEE Transactions on Knowledge and Data Engineering. 36(12). 9294–9307. 20 indexed citations

8.

Chen, Wuxing, Kaixiang Yang, Zhiwen Yu, Yifan Shi, & C. L. Philip Chen. (2024). A survey on imbalanced learning: latest research, applications and future directions. Artificial Intelligence Review. 57(6). 124 indexed citations breakdown →

9.

Yang, Kaixiang, et al.. (2023). Multi-view broad learning system for electricity theft detection. Applied Energy. 352. 121914–121914. 13 indexed citations

10.

Chen, Wuxing, Kaixiang Yang, Weiwen Zhang, Yifan Shi, & Zhiwen Yu. (2022). Double-kernelized weighted broad learning system for imbalanced data. Neural Computing and Applications. 34(22). 19923–19936. 15 indexed citations

11.

Chen, Wuxing, Kaixiang Yang, Zhiwen Yu, & Weiwen Zhang. (2022). Double-kernel based class-specific broad learning system for multiclass imbalance learning. Knowledge-Based Systems. 253. 109535–109535. 22 indexed citations

12.

Chen, Wuxing, et al.. (2021). Kernel-based Class-specific Broad Learning System for software defect prediction. 109–114. 1 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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