Cong Yang
Impact in
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
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- Industrial Vision Systems and Defect Detection
Papers in
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- Medical Image Segmentation Techniques 7
- Advanced Neural Network Applications 4
- Video Surveillance and Tracking Methods 2
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- Advanced Graph Neural Networks 3
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- John See (1 shared paper)Hui Ling Yu (1 shared paper)Yan Ke (1 shared paper)Kean Chen (1 shared paper)Weiyao Lin (1 shared paper)Weiguo Wu (4 shared papers)Yanni Dong (2 shared papers)Yangjie Cao (8 shared papers)
- Journals
- Electronics (6 papers)Production and Operations Management (1 paper)IEEE Internet of Things Journal (1 paper)Remote Sensing (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)
- Partner nations
- ChinaMalaysiaUnited States
In The Last Decade
Cong Yang
33 papers receiving 567 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 304
- Industrial and Manufacturing Engineering 48
- Media Technology 38
- Neurology 29
- Food Science 33
Countries citing papers authored by Cong Yang
This map shows the geographic impact of Cong Yang'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 Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Yang more than expected).
Fields of papers citing papers by Cong Yang
This network shows the impact of papers produced by Cong Yang. 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 Yang. The network helps show where Cong Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Yang, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 234 | |
| 2 | 2023 | 45 | |
| 3 | 2018 | 42 | |
| 4 | 2017 | 33 | |
| 5 | 2023 | 29 | |
| 6 | 2021 | 23 | |
| 7 | 2022 | 23 | |
| 8 | 2023 | 17 | |
| 9 | 2023 | 16 | |
| 10 | 2024 | 15 | |
| 11 | 2003 | 14 | |
| 12 | 2017 | 13 | |
| 13 | 2017 | 13 | |
| 14 | 2019 | 10 | |
| 15 | 2018 | 8 | |
| 16 | 2024 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2018 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2023 | 4 |
About Cong Yang
Cong Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Neurology, Media Technology and Cardiology and Cardiovascular Medicine, having authored 39 papers that have together received 581 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Advanced Neural Network Applications (4 papers), Advanced Graph Neural Networks (3 papers), ECG Monitoring and Analysis (3 papers), Remote-Sensing Image Classification (2 papers), Proteins in Food Systems (2 papers), Video Surveillance and Tracking Methods (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (304 citations), Industrial and Manufacturing Engineering (48 citations), Media Technology (38 citations), Neurology (29 citations) and Food Science (33 citations). Cong Yang has collaborated with scholars based in China, Malaysia and United States. Frequent co-authors include John See, Hui Ling Yu, Yan Ke, Kean Chen, Weiyao Lin, Weiguo Wu, Yanni Dong, Yangjie Cao, Yaping Wu and Meiyun Wang. Their work appears in journals such as Electronics, Production and Operations Management, IEEE Internet of Things Journal, Remote Sensing and IEEE Transactions on Geoscience and Remote Sensing.
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.