Chong Wu

434 total citations
26 papers, 302 citations indexed

About

Chong Wu is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Chong Wu has authored 26 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Molecular Biology and 6 papers in Computational Theory and Mathematics. Recurrent topics in Chong Wu's work include Bioinformatics and Genomic Networks (6 papers), Machine Learning in Bioinformatics (5 papers) and Medical Image Segmentation Techniques (5 papers). Chong Wu is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Machine Learning in Bioinformatics (5 papers) and Medical Image Segmentation Techniques (5 papers). Chong Wu collaborates with scholars based in China, Hong Kong and Australia. Chong Wu's co-authors include Luqi Huang, Shuangshuang Qin, Yunjun Liu, Yuan Yuan, Le Zhang, Hong Yan, Yidong Chen, Xiaodong Shi, Tao Wu and Gang Lei and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Industrial Electronics.

In The Last Decade

Chong Wu

24 papers receiving 296 citations

Peers

Chong Wu

CVPR

MB

PS

HI

MT

S Padmavathi India

Sathish India

Karun Verma India

Cheng‐Chang Lien Taiwan

Nidhal K. El Abbadi Iraq

Md Jahid Hasan Bangladesh

Chomtip Pornpanomchai Thailand

Zhipeng Zhou China

Takeshi Yoshida Japan

S Padmavathi India

Chong Wu

195 ×2.1

CVPR

6 ×0.1

MB

64 ×1.0

PS

58 ×1.3

HI

26 ×0.7

MT

Citations per year, relative to Chong Wu Chong Wu (= 1×) peers S Padmavathi

Countries citing papers authored by Chong Wu

Since Specialization

Citations

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

Fields of papers citing papers by Chong Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chong Wu

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

1.

Wu, Chong, Maolin Che, & Hong Yan. (2025). The CUR Decomposition of Self-Attention Matrices in Vision Transformers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(4). 4792–4809.

2.

Wu, Chong, et al.. (2025). ELFATT: Efficient Linear Fast Attention for Vision Transformers. 9140–9149. 1 indexed citations

3.

Zou, Xin, et al.. (2024). Numerical Simulation Study of a Pusher Feed Classifier Based on RNG-DPM Method. Processes. 12(6). 1151–1151. 1 indexed citations

4.

Wang, Mingming, et al.. (2024). Mobile SAM-based Motion Target Detection. 7854–7859. 1 indexed citations

5.

Chen, Hao, Juntong Qi, Mingming Wang, & Chong Wu. (2023). Helmet-Wearing Detection Algorithm Based on Improved YOLOv5s. 8564–8569. 2 indexed citations

6.

Wu, Chong, et al.. (2023). Refining Protein Interaction Network for Identifying Essential Proteins. Current Bioinformatics. 18(3). 255–265.

7.

Wu, Chong, et al.. (2022). Star topology convolution for graph representation learning. Complex & Intelligent Systems. 8(6). 5125–5141. 1 indexed citations

8.

Chen, Yidong, et al.. (2021). Enhancing Neural Sign Language Translation by highlighting the facial expression information. Neurocomputing. 464. 462–472. 24 indexed citations

9.

Wu, Chong, et al.. (2020). Fuzzy SLIC: Fuzzy Simple Linear Iterative Clustering. IEEE Transactions on Circuits and Systems for Video Technology. 31(6). 2114–2124. 38 indexed citations

10.

Zhao, Zheng, Min Chen, Jing Chen, et al.. (2020). An Improved Sign Language Translation Model with Explainable Adaptations for Processing Long Sign Sentences. Computational Intelligence and Neuroscience. 2020. 1–11. 28 indexed citations

11.

Wu, Chong, et al.. (2020). Superpixel Based Hierarchical Segmentation for Color Image. IEICE Transactions on Information and Systems. E103.D(10). 2246–2249. 2 indexed citations

12.

Wu, Tao, et al.. (2020). Momentum multi-objective optimization algorithm based on black hole algorithm. IOP Conference Series Materials Science and Engineering. 768(7). 72046–72046. 2 indexed citations

13.

Wu, Chong, et al.. (2020). Unsupervised Dark-Channel Attention-Guided CycleGAN for Single-Image Dehazing. Sensors. 20(21). 6000–6000. 11 indexed citations

14.

Wu, Chong, et al.. (2020). Identification of Essential Proteins Using A Novel Multi-Objective Optimization Method. 2005. 1329–1333. 3 indexed citations

15.

Wu, Chong, et al.. (2019). Superpixel Tensor Pooling for Visual Tracking Using Multiple Midlevel Visual Cues Fusion. IEEE Access. 7. 147462–147469. 2 indexed citations

16.

Wu, Tao, Chong Wu, Gang Lei, et al.. (2019). Multiobjective Optimization of a Tubular Coreless LPMSM Based on Adaptive Multiobjective Black Hole Algorithm. IEEE Transactions on Industrial Electronics. 67(5). 3901–3910. 34 indexed citations

17.

Wu, Chong, et al.. (2019). Improved Superpixel-Based Fast Fuzzy C-Means Clustering for Image Segmentation. 1455–1459. 17 indexed citations

18.

Wu, Chong, et al.. (2018). Identification of Essential Proteins Using Improved Node and Edge Clustering Coefficient. 3258–3262. 4 indexed citations

19.

Wu, Chong, et al.. (2017). AMOBH: Adaptive Multiobjective Black Hole Algorithm. Computational Intelligence and Neuroscience. 2017. 1–19. 19 indexed citations

20.

Yuan, Yuan, et al.. (2012). Water Deficit Affected Flavonoid Accumulation by Regulating Hormone Metabolism in Scutellaria baicalensis Georgi Roots. PLoS ONE. 7(10). e42946–e42946. 95 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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