Junjie Ke
Impact in
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- Image and Video Quality Assessment
- Visual Attention and Saliency Detection
- Advanced Neural Network Applications
- Advanced Image Processing Techniques
- Multimodal Machine Learning Applications
- Image Enhancement Techniques
- Media Technology top 10%
- Advanced Image Fusion Techniques
Papers in
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- Multimodal Machine Learning Applications 5
- Advanced Neural Network Applications 4
- Advanced Image Processing Techniques 3
- Image and Video Quality Assessment 3
- Visual Attention and Saliency Detection 2
- Advanced Image and Video Retrieval Techniques 2
- Image Enhancement Techniques 1
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- Domain Adaptation and Few-Shot Learning 4
- Co-authors
- Qifei Wang (3 shared papers)Mingyuan Zhou (1 shared paper)Feng Yang (1 shared paper)Boqing Gong (1 shared paper)Peyman Milanfar (4 shared papers)Feng Yang (6 shared papers)Feng Yang (2 shared papers)Yilin Wang (3 shared papers)
- Journals
- IEEE Transactions on Multimedia (2 papers)Frontiers in Physiology (1 paper)Neurocomputing (1 paper)Knowledge-Based Systems (1 paper)Optics Letters (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Junjie Ke
15 papers receiving 275 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 171
- Media Technology 33
- Artificial Intelligence 89
- Computer Graphics and Computer-Aided Design 9
- Signal Processing 13
Countries citing papers authored by Junjie Ke
This map shows the geographic impact of Junjie Ke'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 Junjie Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjie Ke more than expected).
Fields of papers citing papers by Junjie Ke
This network shows the impact of papers produced by Junjie Ke. 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 Junjie Ke. The network helps show where Junjie Ke may publish in the future.
Co-authors
The 25 scholars most cited alongside Junjie Ke, 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 | 2021 | 87 | |
| 2 | 2021 | 55 | |
| 3 | 2023 | 40 | |
| 4 | 2024 | 24 | |
| 5 | 2021 | 23 | |
| 6 | 2023 | 22 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 5 | |
| 9 | 2022 | 5 | |
| 10 | 2024 | 5 | |
| 11 | 2022 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2021 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Junjie Ke
Junjie Ke is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Media Technology and Organic Chemistry, having authored 17 papers that have together received 287 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (5 papers), Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Advanced Image Processing Techniques (3 papers), Image and Video Quality Assessment (3 papers), Visual Attention and Saliency Detection (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Image Enhancement Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (171 citations), Media Technology (33 citations), Artificial Intelligence (89 citations), Computer Graphics and Computer-Aided Design (9 citations) and Signal Processing (13 citations). Junjie Ke has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Qifei Wang, Mingyuan Zhou, Feng Yang, Boqing Gong, Peyman Milanfar, Feng Yang, Feng Yang, Yilin Wang, Yonghui Wu and Jiahui Yu. Their work appears in journals such as IEEE Transactions on Multimedia, Frontiers in Physiology, Neurocomputing, Knowledge-Based Systems and Optics Letters.
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.