Congqi Cao

1.4k citations
26 papers · 690 · h-index 11

Impact in

Papers in

Congqi Cao

23 papers receiving 673 citations

Peers

Congqi Cao
Comparison fields: 5 of 61
  • Human-Computer Interaction 294
  • Computer Vision and Pattern Recognition 509
  • Artificial Intelligence 274
  • Biomedical Engineering 260
  • Developmental and Educational Psychology 56
Replace Yen-Lun Chen with:
Yen-Lun Chen China
Alan W.C. Tan Malaysia
Ingo Bax Germany
Joyeeta Singha India
Bin Ji China
Surendra Ranganath Singapore
Sylvie C. W. Ong Singapore
Jonathan Alon United States
Zhanpeng Shao China
Congqi Cao relative to Yen-Lun Chen China Yen-Lun Chen's profile →
Citations per field
00.5×7.8×
Yen-Lun Chen · 1×
Citations per year

Countries citing papers authored by Congqi Cao

Since Specialization
Citations

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

Fields of papers citing papers by Congqi Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Congqi Cao, 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 Congqi Cao Line = papers co-authored together Congqi Cao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018231
2 2018122
3 201774
4 201755
5 202234
6 202326
7
Action recognition with joints-pooled 3D deep convolutional descriptors
201625
8 202225
9 202118
10 202415
11 202110
12 20249
13 20159
14 20237
15 20237
16 20215
17 20214
18 20204
19 20233
20 20242

About Congqi Cao

Congqi Cao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Human-Computer Interaction and Computer Networks and Communications, having authored 26 papers that have together received 690 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (18 papers), Anomaly Detection Techniques and Applications (15 papers), Gait Recognition and Analysis (6 papers), Hand Gesture Recognition Systems (5 papers), Multimodal Machine Learning Applications (5 papers), Network Security and Intrusion Detection (5 papers), Video Surveillance and Tracking Methods (4 papers) and Tactile and Sensory Interactions (2 papers). The work is most often cited by research in Human-Computer Interaction (294 citations), Computer Vision and Pattern Recognition (509 citations), Artificial Intelligence (274 citations), Biomedical Engineering (260 citations) and Developmental and Educational Psychology (56 citations). Congqi Cao has collaborated with scholars based in China, United States and Tunisia. Frequent co-authors include Yifan Zhang, Jian Cheng, Hanqing Lu, Yanning Zhang, Hanqing Lu, Chunjie Zhang, Cuiling Lan, Wenjun Zeng, Yi Wu and Peng Wang. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Neurocomputing, IEEE Transactions on Pattern Analysis and Machine Intelligence, Weather and Forecasting and IEEE Transactions on Cybernetics.

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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