Congcong Wang
Impact in
- Health Informatics top 5%
-
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Image Enhancement Techniques
Papers in
-
- Image Enhancement Techniques 8
- Advanced Neural Network Applications 6
- Advanced Vision and Imaging 6
- Advanced Image and Video Retrieval Techniques 5
- Medical Image Segmentation Techniques 4
-
- Advanced Image Fusion Techniques 9
- Remote-Sensing Image Classification 5
- Co-authors
- David Lillis (3 shared papers)Faouzi Alaya Cheikh (10 shared papers)Xiaoping Yang (3 shared papers)Jun Ma (2 shared papers)Jian He (2 shared papers)Yichi Zhang (1 shared paper)Song Gu (1 shared paper)Yao Zhang (1 shared paper)
In The Last Decade
Congcong Wang
75 papers receiving 922 citations
Congcong Wang's Hit Papers
Peers
Comparison fields: 5 of 144
- Health Informatics 23
- Computer Vision and Pattern Recognition 325
- Radiology, Nuclear Medicine and Imaging 233
- Media Technology 97
- Artificial Intelligence 231
Countries citing papers authored by Congcong Wang
This map shows the geographic impact of Congcong Wang'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 Congcong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congcong Wang more than expected).
Fields of papers citing papers by Congcong Wang
This network shows the impact of papers produced by Congcong Wang. 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 Congcong Wang. The network helps show where Congcong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Congcong Wang, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem? Hit paper breakdown → | 2021 | 252 |
| 2 | 2020 | 74 | |
| 3 | 2018 | 48 | |
| 4 | 2020 | 40 | |
| 5 | 2018 | 29 | |
| 6 | 2019 | 26 | |
| 7 | 2018 | 24 | |
| 8 | 2020 | 22 | |
| 9 | 2014 | 22 | |
| 10 | 2021 | 21 | |
| 11 | 2022 | 21 | |
| 12 | 2023 | 19 | |
| 13 | 2017 | 18 | |
| 14 | 2019 | 18 | |
| 15 | 2022 | 17 | |
| 16 | 2018 | 17 | |
| 17 | 2012 | 16 | |
| 18 | 2018 | 14 | |
| 19 | 2021 | 13 | |
| 20 | 2024 | 13 |
About Congcong Wang
Congcong Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 83 papers that have together received 946 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (9 papers), Image Enhancement Techniques (8 papers), Advanced Neural Network Applications (6 papers), Advanced Vision and Imaging (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Remote-Sensing Image Classification (5 papers), Medical Image Segmentation Techniques (4 papers) and Remote Sensing and Land Use (4 papers). The work is most often cited by research in Health Informatics (23 citations), Computer Vision and Pattern Recognition (325 citations), Radiology, Nuclear Medicine and Imaging (233 citations), Media Technology (97 citations) and Artificial Intelligence (231 citations). Congcong Wang has collaborated with scholars based in China, Norway and France. Frequent co-authors include David Lillis, Faouzi Alaya Cheikh, Xiaoping Yang, Jun Ma, Jian He, Yichi Zhang, Song Gu, Yao Zhang, Shangqing Liu and Yuhui Li. Their work appears in journals such as Computers in Biology and Medicine, Engineering Applications of Artificial Intelligence, Biomedical Signal Processing and Control, International Journal of Computer-Assisted Language Learning and Teaching and Multimedia Systems.
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.