Cong Wu

422 citations
22 papers · 304 · h-index 9

Impact in

Papers in

Cong Wu

20 papers receiving 299 citations

Peers

Cong Wu
Comparison fields: 5 of 80
  • Computer Vision and Pattern Recognition 120
  • Biomaterials 64
  • Process Chemistry and Technology 12
  • Human-Computer Interaction 19
  • Computational Theory and Mathematics 49
Replace Huafeng Chen with:
Huafeng Chen China
Yingchao Wang China
Manish Kumar Jindal India
José Espinosa Argentina
Ankit Kumar India
Rui Rua Portugal
Yongxu Liu China
Xu Ru China
Nam-Joon Kim South Korea
Cong Wu relative to Huafeng Chen China Huafeng Chen's profile →
Citations per field
00.5×
Huafeng Chen · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Cong Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cong Wu Line = papers co-authored together Cong Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201949
2 200848
3 202147
4 201536
5 201330
6 202322
7 201122
8 20249
9 20239
10 19926
11 20115
12 20234
13 20243
14 20223
15 20213
16 20233
17 20212
18
Expression of hPD-L1-Ig fusion protein in yeast system and its inhibitory effects on T cells
20091
19 20101
20 20111

About Cong Wu

Cong Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Biomaterials and Polymers and Plastics, having authored 22 papers that have together received 304 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (11 papers), Anomaly Detection Techniques and Applications (9 papers), Gait Recognition and Analysis (5 papers), biodegradable polymer synthesis and properties (3 papers), Polymer crystallization and properties (3 papers), Multimodal Machine Learning Applications (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (120 citations), Biomaterials (64 citations), Process Chemistry and Technology (12 citations), Human-Computer Interaction (19 citations) and Computational Theory and Mathematics (49 citations). Cong Wu has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Josef Kittler, Xiao‐Jun Wu, Hongxia Zhang, Qingsheng Liu, Bingyao Deng, Changzhong Wang, Congxin Wu, Qinghua Hu, Degang Chen and Tianyang Xu. Their work appears in journals such as Journal of Applied Polymer Science, IEEE Transactions on Circuits and Systems for Video Technology, Image and Vision Computing, Information Sciences and Fibers and Polymers.

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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