Runjian Chen
Impact in
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- Advanced Image Processing Techniques
- Face recognition and analysis
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Image and Signal Denoising Methods
- Media Technology top 10%
Papers in
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- Advanced Neural Network Applications 3
- Graph Theory and Algorithms 2
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- Advanced Graph Neural Networks 2
- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Ping Luo (2 shared papers)Wenping Wang (1 shared paper)Zhouxia Wang (1 shared paper)Jiawei Zhang (1 shared paper)Huan Yin (2 shared papers)Yue Wang (3 shared papers)Rong Xiong (3 shared papers)Chongjian Ge (1 shared paper)
In The Last Decade
Runjian Chen
9 papers receiving 219 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 124
- Media Technology 27
- Geology 13
- Aerospace Engineering 52
- Environmental Engineering 25
Countries citing papers authored by Runjian Chen
This map shows the geographic impact of Runjian Chen'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 Runjian Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runjian Chen more than expected).
Fields of papers citing papers by Runjian Chen
This network shows the impact of papers produced by Runjian Chen. 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 Runjian Chen. The network helps show where Runjian Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Runjian Chen, 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 | 2022 | 66 | |
| 2 | 2023 | 61 | |
| 3 | 2021 | 34 | |
| 4 | 2021 | 30 | |
| 5 | 2021 | 14 | |
| 6 | 2023 | 14 | |
| 7 | Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning. | 2020 | 2 |
| 8 | 2023 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 |
About Runjian Chen
Runjian Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Molecular Biology and Communication, having authored 11 papers that have together received 224 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (3 papers), Advanced Neural Network Applications (3 papers), Graph Theory and Algorithms (2 papers), Advanced Graph Neural Networks (2 papers), Bioinformatics and Genomic Networks (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), 3D Shape Modeling and Analysis (1 paper) and Indoor and Outdoor Localization Technologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (124 citations), Media Technology (27 citations), Geology (13 citations), Aerospace Engineering (52 citations) and Environmental Engineering (25 citations). Runjian Chen has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Ping Luo, Wenping Wang, Zhouxia Wang, Jiawei Zhang, Huan Yin, Yue Wang, Rong Xiong, Chongjian Ge, Enze Xie and Shoufa Chen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurocomputing, IEEE Transactions on Intelligent Transportation Systems, IEEE Robotics and Automation Letters 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.