Runqi Wang
Impact in
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
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- Domain Adaptation and Few-Shot Learning
Papers in
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- Advanced Neural Network Applications 5
- Multimodal Machine Learning Applications 4
- Advanced Image and Video Retrieval Techniques 3
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- Domain Adaptation and Few-Shot Learning 6
- Adversarial Robustness in Machine Learning 3
- Co-authors
- Baochang Zhang (12 shared papers)Lei Deng (2 shared papers)Han‐Wei Shen (1 shared paper)John Kemeny (2 shared papers)Guodong Guo (4 shared papers)Jingyi Shen (1 shared paper)Jianzhuang Liu (3 shared papers)Xiaoyue Duan (2 shared papers)
- Journals
- International Journal of Computer Vision (2 papers)Journal of Materials Engineering and Performance (2 papers)Visual Informatics (1 paper)Pattern Recognition Letters (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Runqi Wang
29 papers receiving 252 citations
Peers
Comparison fields: 5 of 93
- Computer Vision and Pattern Recognition 54
- Artificial Intelligence 63
- Music 6
- Cancer Research 23
- Signal Processing 16
Countries citing papers authored by Runqi Wang
This map shows the geographic impact of Runqi 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 Runqi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runqi Wang more than expected).
Fields of papers citing papers by Runqi Wang
This network shows the impact of papers produced by Runqi 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 Runqi Wang. The network helps show where Runqi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Runqi 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 21 | |
| 2 | 2023 | 19 | |
| 3 | 2021 | 18 | |
| 4 | 2016 | 17 | |
| 5 | 2020 | 17 | |
| 6 | 2021 | 16 | |
| 7 | 2022 | 16 | |
| 8 | 2021 | 14 | |
| 9 | 2025 | 14 | |
| 10 | 2022 | 14 | |
| 11 | 2023 | 11 | |
| 12 | A Study of the Coupling Between Mechanical Loading and Flow Properties in Tuffaceous Rock | 1994 | 10 |
| 13 | 2021 | 9 | |
| 14 | 2020 | 9 | |
| 15 | 2023 | 7 | |
| 16 | 2018 | 6 | |
| 17 | 2025 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2025 | 5 | |
| 20 | 2020 | 5 |
About Runqi Wang
Runqi Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Molecular Biology and Mechanics of Materials, having authored 36 papers that have together received 258 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (6 papers), Advanced Neural Network Applications (5 papers), Multimodal Machine Learning Applications (4 papers), CCD and CMOS Imaging Sensors (4 papers), Landslides and related hazards (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Rock Mechanics and Modeling (3 papers) and Adversarial Robustness in Machine Learning (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (54 citations), Artificial Intelligence (63 citations), Music (6 citations), Cancer Research (23 citations) and Signal Processing (16 citations). Runqi Wang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Baochang Zhang, Lei Deng, Han‐Wei Shen, John Kemeny, Guodong Guo, Jingyi Shen, Jianzhuang Liu, Xiaoyue Duan, Shuo Zhang and Hanlin Xu. Their work appears in journals such as International Journal of Computer Vision, Journal of Materials Engineering and Performance, Visual Informatics, Pattern Recognition Letters and Journal of the American Chemical Society.
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.