Junlong Cheng
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Medical Image Segmentation Techniques
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
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- Advanced Neural Network Applications 14
- Medical Image Segmentation Techniques 6
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- Radiomics and Machine Learning in Medical Imaging 10
- COVID-19 diagnosis using AI 7
- Infrared Thermography in Medicine 2
- Co-authors
- Hongchun Lu (5 shared papers)Shengwei Tian (5 shared papers)Chengrui Gao (6 shared papers)Long Yu (6 shared papers)Xiang Ma (2 shared papers)Shijia Liu (2 shared papers)Xiaojing Kang (3 shared papers)Weidong Wu (2 shared papers)
- Journals
- Biomedical Signal Processing and Control (3 papers)Medical Image Analysis (2 papers)Artificial Intelligence in Medicine (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)Computer Methods and Programs in Biomedicine (1 paper)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Junlong Cheng
27 papers receiving 507 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 283
- Neurology 70
- Radiology, Nuclear Medicine and Imaging 148
- Artificial Intelligence 188
- Health Informatics 5
Countries citing papers authored by Junlong Cheng
This map shows the geographic impact of Junlong Cheng'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 Junlong Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junlong Cheng more than expected).
Fields of papers citing papers by Junlong Cheng
This network shows the impact of papers produced by Junlong Cheng. 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 Junlong Cheng. The network helps show where Junlong Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Junlong Cheng, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 156 | |
| 2 | 2022 | 93 | |
| 3 | 2020 | 60 | |
| 4 | 2022 | 34 | |
| 5 | 2020 | 31 | |
| 6 | 2021 | 21 | |
| 7 | 2025 | 20 | |
| 8 | 2021 | 20 | |
| 9 | 2023 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2024 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2024 | 7 | |
| 14 | 2025 | 6 | |
| 15 | 2025 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 2 |
About Junlong Cheng
Junlong Cheng is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 516 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (14 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (9 papers), COVID-19 diagnosis using AI (7 papers), Medical Image Segmentation Techniques (6 papers), Brain Tumor Detection and Classification (2 papers), Aortic Disease and Treatment Approaches (2 papers) and Infrared Thermography in Medicine (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (283 citations), Neurology (70 citations), Radiology, Nuclear Medicine and Imaging (148 citations), Artificial Intelligence (188 citations) and Health Informatics (5 citations). Junlong Cheng has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Hongchun Lu, Shengwei Tian, Chengrui Gao, Long Yu, Xiang Ma, Shijia Liu, Xiaojing Kang, Weidong Wu, Long Yu and Xiangkun Wang. Their work appears in journals such as Biomedical Signal Processing and Control, Medical Image Analysis, Artificial Intelligence in Medicine, Frontiers in Bioengineering and Biotechnology and Computer Methods and Programs in Biomedicine.
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.