Runjian Chen
Impact in
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- Advanced Image Processing Techniques
- Face recognition and analysis
- Generative Adversarial Networks and Image Synthesis
- Advanced Neural Network Applications
- 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
- Machine Learning and ELM 1
- Co-authors
- Ping Luo (2 shared papers)Jiawei Zhang (1 shared paper)Wenping Wang (1 shared paper)Zhouxia Wang (1 shared paper)Enze Xie (1 shared paper)Shoufa Chen (1 shared paper)Ding Liang (1 shared paper)Chongjian Ge (1 shared paper)
In The Last Decade
Runjian Chen
9 papers receiving 247 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 141
- Media Technology 29
- Geology 15
- Aerospace Engineering 53
- Environmental Engineering 26
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 | 79 | |
| 2 | 2023 | 72 | |
| 3 | 2021 | 35 | |
| 4 | 2021 | 33 | |
| 5 | 2023 | 16 | |
| 6 | 2021 | 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 254 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Robotics and Sensor-Based Localization (3 papers), Bioinformatics and Genomic Networks (2 papers), Graph Theory and Algorithms (2 papers), Advanced Graph Neural Networks (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Machine Learning and ELM (1 paper) and 3D Surveying and Cultural Heritage (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (141 citations), Media Technology (29 citations), Geology (15 citations), Aerospace Engineering (53 citations) and Environmental Engineering (26 citations). Runjian Chen has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Ping Luo, Jiawei Zhang, Wenping Wang, Zhouxia Wang, Enze Xie, Shoufa Chen, Ding Liang, Chongjian Ge, Huan Yin and Rong Xiong. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing, IEEE Robotics and Automation Letters, Neurocomputing and IEEE Transactions on Intelligent Transportation Systems.
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.