Junran Peng
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
Papers in
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- Advanced Neural Network Applications 11
- Advanced Image and Video Retrieval Techniques 7
- Multimodal Machine Learning Applications 3
- Visual Attention and Saliency Detection 2
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- Domain Adaptation and Few-Shot Learning 5
- Co-authors
- Zhaoxiang Zhang (11 shared papers)Yuxi Wang (3 shared papers)Junjie Yan (4 shared papers)Tieniu Tan (4 shared papers)Ming Sun (3 shared papers)Cong Pan (2 shared papers)Jiaheng Liu (3 shared papers)Jingyu Liu (2 shared papers)
- Journals
- IET Generation Transmission & Distribution (2 papers)IEEE Transactions on Emerging Topics in Computing (1 paper)Pattern Recognition (1 paper)International Journal of Computer Vision (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- ChinaIndiaUnited States
In The Last Decade
Junran Peng
22 papers receiving 318 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 185
- Artificial Intelligence 142
- Media Technology 15
- Health Informatics 2
- Human-Computer Interaction 8
Countries citing papers authored by Junran Peng
This map shows the geographic impact of Junran Peng'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 Junran Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junran Peng more than expected).
Fields of papers citing papers by Junran Peng
This network shows the impact of papers produced by Junran Peng. 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 Junran Peng. The network helps show where Junran Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Junran Peng, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 70 | |
| 2 | 2020 | 39 | |
| 3 | 2021 | 32 | |
| 4 | 2024 | 30 | |
| 5 | Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection | 2019 | 22 |
| 6 | 2021 | 22 | |
| 7 | 2024 | 18 | |
| 8 | 2019 | 18 | |
| 9 | 2015 | 14 | |
| 10 | 2023 | 13 | |
| 11 | 2016 | 10 | |
| 12 | 2017 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2016 | 4 | |
| 18 | 2020 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2025 | 1 |
About Junran Peng
Junran Peng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 22 papers that have together received 324 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (11 papers), Advanced Image and Video Retrieval Techniques (7 papers), Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (3 papers), Human Motion and Animation (2 papers), Orthopedic Infections and Treatments (2 papers), Visual Attention and Saliency Detection (2 papers) and Power Systems Fault Detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (185 citations), Artificial Intelligence (142 citations), Media Technology (15 citations), Health Informatics (2 citations) and Human-Computer Interaction (8 citations). Junran Peng has collaborated with scholars based in China, India and United States. Frequent co-authors include Zhaoxiang Zhang, Yuxi Wang, Junjie Yan, Tieniu Tan, Ming Sun, Cong Pan, Jiaheng Liu, Jingyu Liu, Ke Xu and Jie Fu. Their work appears in journals such as IET Generation Transmission & Distribution, IEEE Transactions on Emerging Topics in Computing, Pattern Recognition, International Journal of Computer Vision and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.