Cong Jun Cao
Impact in
- Media Technology top 2%
- Advanced Image Fusion Techniques
-
- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
Papers in
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- Topic Modeling 15
- Natural Language Processing Techniques 5
- Advanced Graph Neural Networks 4
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- Web Data Mining and Analysis 5
- Co-authors
- Suzana Dragićević (2 shared papers)Songnian Li (2 shared papers)Xuanyong Liu (5 shared papers)Baoe Li (5 shared papers)Huanjing Yue (4 shared papers)Yuqi Dong (5 shared papers)Jingyu Yang (4 shared papers)Yinsheng Wan (2 shared papers)
- Journals
- Multimedia Tools and Applications (3 papers)Journal of ASTM International (2 papers)Journal of Biomedical Materials Research Part A (2 papers)Lecture notes in computer science (16 papers)Harmful Algae (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Cong Jun Cao
81 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 146
- Media Technology 160
- Computer Vision and Pattern Recognition 374
- Orthodontics 22
- Artificial Intelligence 189
- Mechanics of Materials 130
Countries citing papers authored by Cong Jun Cao
This map shows the geographic impact of Cong Jun 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 Cong Jun Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Jun Cao more than expected).
Fields of papers citing papers by Cong Jun Cao
This network shows the impact of papers produced by Cong Jun 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 Cong Jun Cao. The network helps show where Cong Jun Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Jun Cao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 239 | |
| 2 | 2019 | 102 | |
| 3 | 2020 | 88 | |
| 4 | 2008 | 84 | |
| 5 | 2020 | 68 | |
| 6 | 2014 | 61 | |
| 7 | 2019 | 49 | |
| 8 | 2022 | 39 | |
| 9 | 2009 | 39 | |
| 10 | 2022 | 39 | |
| 11 | 2020 | 37 | |
| 12 | 2021 | 37 | |
| 13 | 2022 | 32 | |
| 14 | 2013 | 30 | |
| 15 | 2015 | 29 | |
| 16 | 2019 | 28 | |
| 17 | 2023 | 28 | |
| 18 | 2009 | 27 | |
| 19 | 2008 | 24 | |
| 20 | 2022 | 20 |
About Cong Jun Cao
Cong Jun Cao is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Mechanics of Materials and Management Science and Operations Research, having authored 98 papers that have together received 1.4k indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Bone Tissue Engineering Materials (7 papers), Network Security and Intrusion Detection (7 papers), Web Data Mining and Analysis (5 papers), Natural Language Processing Techniques (5 papers), Advanced Neural Network Applications (4 papers), Landslides and related hazards (4 papers) and Advanced Graph Neural Networks (4 papers). The work is most often cited by research in Media Technology (160 citations), Computer Vision and Pattern Recognition (374 citations), Orthodontics (22 citations), Artificial Intelligence (189 citations) and Mechanics of Materials (130 citations). Cong Jun Cao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Suzana Dragićević, Songnian Li, Xuanyong Liu, Baoe Li, Huanjing Yue, Yuqi Dong, Jingyu Yang, Yinsheng Wan, Chuanxian Ding and Lei Liao. Their work appears in journals such as Multimedia Tools and Applications, Journal of ASTM International, Journal of Biomedical Materials Research Part A, Lecture notes in computer science and Harmful Algae.
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.