Ru Wang
Impact in
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks
- AI in cancer detection
- Advanced Clustering Algorithms Research
Papers in
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- Advanced Graph Neural Networks 4
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- Recommender Systems and Techniques 5
- Educational Technology and Assessment 3
- Co-authors
- Peipei Wang (10 shared papers)Lin Li (7 shared papers)Xiaohui Tao (4 shared papers)Peiyu Liu (6 shared papers)Lichun Wang (1 shared paper)Baocai Yin (1 shared paper)Dehui Kong (1 shared paper)Qiang Li (1 shared paper)
- Journals
- International Journal of Emerging Technologies in Learning (iJET) (2 papers)Information Processing & Management (2 papers)Information Sciences (1 paper)Planta (1 paper)Education and Information Technologies (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Ru Wang
31 papers receiving 284 citations
Peers
Comparison fields: 5 of 92
- Human-Computer Interaction 31
- Artificial Intelligence 127
- Computer Vision and Pattern Recognition 80
- Fuel Technology 2
- Statistical and Nonlinear Physics 23
Countries citing papers authored by Ru Wang
This map shows the geographic impact of Ru 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 Ru Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ru Wang more than expected).
Fields of papers citing papers by Ru Wang
This network shows the impact of papers produced by Ru 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 Ru Wang. The network helps show where Ru Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ru 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 | 2022 | 33 | |
| 2 | 2023 | 32 | |
| 3 | 2014 | 31 | |
| 4 | 2022 | 24 | |
| 5 | 2016 | 18 | |
| 6 | 2021 | 18 | |
| 7 | 2021 | 17 | |
| 8 | 2021 | 17 | |
| 9 | 2017 | 16 | |
| 10 | 2022 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2017 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2022 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2022 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2023 | 3 |
About Ru Wang
Ru Wang is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 37 papers that have together received 295 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), Recommender Systems and Techniques (5 papers), Advanced Graph Neural Networks (4 papers), Face and Expression Recognition (3 papers), Educational Technology and Assessment (3 papers), Online Learning and Analytics (3 papers), Nonlinear Partial Differential Equations (3 papers) and Hydrocarbon exploration and reservoir analysis (2 papers). The work is most often cited by research in Human-Computer Interaction (31 citations), Artificial Intelligence (127 citations), Computer Vision and Pattern Recognition (80 citations), Fuel Technology (2 citations) and Statistical and Nonlinear Physics (23 citations). Ru Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Peipei Wang, Lin Li, Xiaohui Tao, Peiyu Liu, Lichun Wang, Baocai Yin, Dehui Kong, Qiang Li, Na Xu and Yan Zhao. Their work appears in journals such as International Journal of Emerging Technologies in Learning (iJET), Information Processing & Management, Information Sciences, Planta and Education and Information Technologies.
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.