Junlong Du
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
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- Milk Quality and Mastitis in Dairy Cows
Papers in
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- Advanced Neural Network Applications 3
- Video Surveillance and Tracking Methods 2
- Human Pose and Action Recognition 2
- Multimodal Machine Learning Applications 1
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- Domain Adaptation and Few-Shot Learning 2
- Intelligent Tutoring Systems and Adaptive Learning 1
- Co-authors
- Ke Yan (3 shared papers)Yi Xin (2 shared papers)Shouhong Ding (2 shared papers)Feiyue Huang (2 shared papers)Qiang Wang (1 shared paper)Pai Peng (1 shared paper)Xing Sun (1 shared paper)Ancong Wu (1 shared paper)
- Journals
- annales de biologie animale biochimie biophysique (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (3 papers)Annales de Zootechnie (6 papers)
In The Last Decade
Junlong Du
13 papers receiving 176 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 93
- Agronomy and Crop Science 32
- Animal Science and Zoology 22
- Artificial Intelligence 52
- Small Animals 7
Countries citing papers authored by Junlong Du
This map shows the geographic impact of Junlong Du'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 Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junlong Du more than expected).
Fields of papers citing papers by Junlong Du
This network shows the impact of papers produced by Junlong Du. 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 Du. The network helps show where Junlong Du may publish in the future.
Co-authors
The 16 scholars most cited alongside Junlong Du, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 40 | |
| 2 | 2024 | 33 | |
| 3 | 2020 | 31 | |
| 4 | 2022 | 26 | |
| 5 | 1984 | 19 | |
| 6 | 2023 | 9 | |
| 7 | 2024 | 6 | |
| 8 | 1994 | 6 | |
| 9 | 1982 | 4 | |
| 10 | 1989 | 3 | |
| 11 | 1974 | 2 | |
| 12 | 1977 | 1 | |
| 13 | 1977 | 1 |
About Junlong Du
Junlong Du is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Ecology, Evolution, Behavior and Systematics, Nutrition and Dietetics and Human-Computer Interaction, having authored 13 papers that have together received 181 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Video Surveillance and Tracking Methods (2 papers), Agriculture and Rural Development Research (2 papers), Human Pose and Action Recognition (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Hand Gesture Recognition Systems (1 paper), Multimodal Machine Learning Applications (1 paper) and Intelligent Tutoring Systems and Adaptive Learning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (93 citations), Agronomy and Crop Science (32 citations), Animal Science and Zoology (22 citations), Artificial Intelligence (52 citations) and Small Animals (7 citations). Junlong Du has collaborated with scholars based in China, France and Argentina. Frequent co-authors include Ke Yan, Yi Xin, Shouhong Ding, Feiyue Huang, Qiang Wang, Pai Peng, Xing Sun, Ancong Wu, Xiaowei Guo and Wei‐Shi Zheng. Their work appears in journals such as annales de biologie animale biochimie biophysique, Proceedings of the AAAI Conference on Artificial Intelligence and Annales de Zootechnie.
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.