Congjun Cao

488 citations
42 papers · 391 · h-index 13

Impact in

Papers in

Congjun Cao

40 papers receiving 383 citations

Peers

Congjun Cao
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 95
  • Experimental and Cognitive Psychology 50
  • Polymers and Plastics 49
  • Media Technology 27
  • Biomedical Engineering 129
Replace Sanghyuk Park with:
Sanghyuk Park South Korea
Zhoufeng Liu China
Jian Wei Ho Singapore
Hongyu Fu China
Chengrui Wang China
Heng Luo China
Ahmed Shehab Khan United States
Manik Dautta United States
Congjun Cao relative to Sanghyuk Park South Korea Sanghyuk Park's profile →
Citations per field
00.5×8.2×
Sanghyuk Park · 1×
Citations per year

Countries citing papers authored by Congjun Cao

Since Specialization
Citations

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

Fields of papers citing papers by Congjun Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202077
2 202033
3 202429
4 201519
5 201818
6 202117
7 201617
8 202016
9 201916
10 202214
11 201814
12 201813
13 202112
14 202311
15 202211
16 201910
17 201510
18 20237
19 20245
20 20175

About Congjun Cao

Congjun Cao is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Media Technology, having authored 42 papers that have together received 391 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (10 papers), Image Retrieval and Classification Techniques (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Dielectric materials and actuators (6 papers), Color Science and Applications (5 papers), Color perception and design (3 papers), Image Enhancement Techniques (3 papers) and Ferroelectric and Piezoelectric Materials (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (95 citations), Experimental and Cognitive Psychology (50 citations), Polymers and Plastics (49 citations), Media Technology (27 citations) and Biomedical Engineering (129 citations). Congjun Cao has collaborated with scholars based in China, United States and France. Frequent co-authors include Xusheng Wang, Chen Xing, Weimin Xia, Chengmin Hou, Bangyong Sun, Jinglei Li, Kaiyang Liao, Guangfeng Lin, Xuan Zhu and Tao Sun. Their work appears in journals such as RSC Advances, Physical Chemistry Chemical Physics, Sensors, Multimedia Tools and Applications and Organic Electronics.

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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