Cong Wu

422 total citations
22 papers, 304 citations indexed

About

Cong Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Cong Wu has authored 22 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Biomedical Engineering. Recurrent topics in Cong Wu's work include Human Pose and Action Recognition (11 papers), Anomaly Detection Techniques and Applications (9 papers) and Gait Recognition and Analysis (5 papers). Cong Wu is often cited by papers focused on Human Pose and Action Recognition (11 papers), Anomaly Detection Techniques and Applications (9 papers) and Gait Recognition and Analysis (5 papers). Cong Wu collaborates with scholars based in China, United Kingdom and Australia. Cong Wu's co-authors include Josef Kittler, Xiao‐Jun Wu, Hongxia Zhang, Qingsheng Liu, Bingyao Deng, Degang Chen, Congxin Wu, Qinghua Hu, Changzhong Wang and Tianyang Xu and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Information Sciences and Journal of Applied Polymer Science.

In The Last Decade

Cong Wu

20 papers receiving 299 citations

Peers

Cong Wu
Comparison fields: 5 of 80
  • Computer Vision and Pattern Recognition 120
  • Artificial Intelligence 98
  • Biomedical Engineering 82
  • Biomaterials 64
  • Computational Theory and Mathematics 49
Replace Manish Kumar Jindal with:
Manish Kumar Jindal India
Yingchao Wang China
Huafeng Chen China
Yongxu Liu China
A. Kavitha India
Ankit Kumar India
Xu Ru China
Jingjing Luo China
Guanlin Wu China
Manish Kumar Jindal India View profile →
Citations per field, relative to Cong Wu
Cong Wu · 1×
Citations per year, relative to Cong Wu
Cong Wu · 1×

Countries citing papers authored by Cong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Cong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Wu. A scholar is included among the top collaborators of Cong 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 Cong Wu. Cong Wu 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
# Work Indexed citations
1 0
2 0
3 3
4 9
5 4
6 22
7 9
8 3
9 2
10 3
11 47
12 49
13 36
14 30
15 5
16 22
17 1
18 1
19
Expression of hPD-L1-Ig fusion protein in yeast system and its inhibitory effects on T cells
1
20 6

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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