Runzhong Wang
Impact in
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- Advanced Neural Network Applications
- Graph Theory and Algorithms
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks
- Domain Adaptation and Few-Shot Learning
Papers in
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- Graph Theory and Algorithms 8
- Advanced Neural Network Applications 4
- Advanced Image and Video Retrieval Techniques 4
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- Advanced Graph Neural Networks 9
- Co-authors
- Junchi Yan (14 shared papers)Xiaokang Yang (5 shared papers)Jianhua Sun (2 shared papers)Hao-Shu Fang (2 shared papers)Minghao Gou (2 shared papers)Cewu Lu (2 shared papers)Yong–Lu Li (1 shared paper)Baoxin Li (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)Journal of Nuclear Materials (2 papers)Materials Characterization (2 papers)Journal of Plant Growth Regulation (1 paper)Materials Letters (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Runzhong Wang
29 papers receiving 453 citations
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 271
- Artificial Intelligence 183
- Metals and Alloys 8
- Signal Processing 24
- Aerospace Engineering 49
Countries citing papers authored by Runzhong Wang
This map shows the geographic impact of Runzhong Wang'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 Runzhong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runzhong Wang more than expected).
Fields of papers citing papers by Runzhong Wang
This network shows the impact of papers produced by Runzhong Wang. 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 Runzhong Wang. The network helps show where Runzhong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Runzhong Wang, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 129 | |
| 2 | 2021 | 67 | |
| 3 | 2020 | 55 | |
| 4 | Learning deep graph matching with channel-independent embedding and Hungarian attention | 2020 | 31 |
| 5 | 2021 | 23 | |
| 6 | 2024 | 17 | |
| 7 | 2023 | 15 | |
| 8 | Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning | 2020 | 11 |
| 9 | 2024 | 10 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2025 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2023 | 7 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 5 | |
| 19 | Deep Latent Graph Matching | 2021 | 4 |
| 20 | 2023 | 4 |
About Runzhong Wang
Runzhong Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Materials Chemistry, Biomedical Engineering and Mechanical Engineering, having authored 37 papers that have together received 456 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (9 papers), Graph Theory and Algorithms (8 papers), Fusion materials and technologies (5 papers), Advanced Materials Characterization Techniques (5 papers), Advanced Neural Network Applications (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Nuclear Materials and Properties (3 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (271 citations), Artificial Intelligence (183 citations), Metals and Alloys (8 citations), Signal Processing (24 citations) and Aerospace Engineering (49 citations). Runzhong Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Junchi Yan, Xiaokang Yang, Jianhua Sun, Hao-Shu Fang, Minghao Gou, Cewu Lu, Yong–Lu Li, Baoxin Li, Wenqing Liu and Tianqi Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Nuclear Materials, Materials Characterization, Journal of Plant Growth Regulation and Materials 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.