Ruohan Wang
Impact in
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- Robot Manipulation and Learning
Papers in
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- Electric Vehicles and Infrastructure 4
- Smart Grid Energy Management 3
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- AI in Service Interactions 3
- Co-authors
- Yan Wu (4 shared papers)Pierluigi Vito Amadori (4 shared papers)Yiannis Demiris (4 shared papers)Minghai Liu (1 shared paper)Cancan Rong (1 shared paper)Keng Peng Tee (2 shared papers)Xiangrui He (1 shared paper)Tobias Fischer (2 shared papers)
- Journals
- Separation and Purification Technology (2 papers)Advanced Science (1 paper)Nano Letters (1 paper)Journal of Cloud Computing Advances Systems and Applications (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Ruohan Wang
34 papers receiving 355 citations
Peers
Comparison fields: 5 of 87
- Human-Computer Interaction 20
- Control and Systems Engineering 61
- Automotive Engineering 25
- Social Psychology 41
- Biomaterials 25
Countries citing papers authored by Ruohan Wang
This map shows the geographic impact of Ruohan 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 Ruohan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruohan Wang more than expected).
Fields of papers citing papers by Ruohan Wang
This network shows the impact of papers produced by Ruohan 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 Ruohan Wang. The network helps show where Ruohan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruohan 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 74 | |
| 2 | 2023 | 32 | |
| 3 | 2016 | 31 | |
| 4 | 2023 | 23 | |
| 5 | 2021 | 22 | |
| 6 | 2023 | 17 | |
| 7 | 2018 | 17 | |
| 8 | 2025 | 15 | |
| 9 | 2022 | 15 | |
| 10 | 2018 | 12 | |
| 11 | 2024 | 12 | |
| 12 | 2020 | 10 | |
| 13 | 2016 | 10 | |
| 14 | 2024 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2016 | 7 | |
| 17 | 2017 | 7 | |
| 18 | 2023 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2019 | 5 |
About Ruohan Wang
Ruohan Wang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering, Biomedical Engineering and Social Psychology, having authored 40 papers that have together received 362 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (4 papers), Electric Vehicles and Infrastructure (4 papers), Transportation and Mobility Innovations (3 papers), Social Robot Interaction and HRI (3 papers), Advanced oxidation water treatment (3 papers), EEG and Brain-Computer Interfaces (3 papers), Smart Grid Energy Management (3 papers) and AI in Service Interactions (3 papers). The work is most often cited by research in Human-Computer Interaction (20 citations), Control and Systems Engineering (61 citations), Automotive Engineering (25 citations), Social Psychology (41 citations) and Biomaterials (25 citations). Ruohan Wang has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Yan Wu, Pierluigi Vito Amadori, Yiannis Demiris, Minghai Liu, Cancan Rong, Keng Peng Tee, Xiangrui He, Tobias Fischer, Juan Li and Dong Wang. Their work appears in journals such as Separation and Purification Technology, Advanced Science, Nano Letters, Journal of Cloud Computing Advances Systems and Applications and Advanced Functional Materials.
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.