Yingdong Wang
Impact in
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- Emotion and Mood Recognition
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
Papers in
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- Aluminum Alloys Composites Properties 4
- Coal Combustion and Slurry Processing 4
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- Subcritical and Supercritical Water Processes 8
- Nanofluid Flow and Heat Transfer 4
- Co-authors
- Qingfeng Wu (7 shared papers)Xiaowei Chen (1 shared paper)Ming Qiu (1 shared paper)Hui Jin (8 shared papers)Huibo Wang (4 shared papers)Dezhi Yang (2 shared papers)Yaling Yang (2 shared papers)Guohua Wu (3 shared papers)
- Journals
- Journal of Dermatological Treatment (3 papers)Applied Sciences (3 papers)Powder Technology (2 papers)Briefings in Bioinformatics (2 papers)Expert Systems with Applications (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Yingdong Wang
59 papers receiving 866 citations
Peers
Comparison fields: 5 of 118
- Experimental and Cognitive Psychology 228
- Human-Computer Interaction 79
- Cognitive Neuroscience 259
- Catalysis 50
- Analytical Chemistry 62
Countries citing papers authored by Yingdong Wang
This map shows the geographic impact of Yingdong 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 Yingdong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingdong Wang more than expected).
Fields of papers citing papers by Yingdong Wang
This network shows the impact of papers produced by Yingdong 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 Yingdong Wang. The network helps show where Yingdong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingdong 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 229 | |
| 2 | 2021 | 67 | |
| 3 | 2014 | 61 | |
| 4 | 2013 | 57 | |
| 5 | 2019 | 55 | |
| 6 | 2022 | 54 | |
| 7 | 2021 | 35 | |
| 8 | 2020 | 24 | |
| 9 | 2019 | 22 | |
| 10 | 2013 | 20 | |
| 11 | 2013 | 20 | |
| 12 | 2019 | 19 | |
| 13 | 2021 | 16 | |
| 14 | 2015 | 15 | |
| 15 | 2023 | 13 | |
| 16 | 2023 | 13 | |
| 17 | 2018 | 11 | |
| 18 | 2018 | 10 | |
| 19 | 2020 | 9 | |
| 20 | 2025 | 8 |
About Yingdong Wang
Yingdong Wang is a scholar working on Mechanical Engineering, Biomedical Engineering, Materials Chemistry, Molecular Biology and Cognitive Neuroscience, having authored 70 papers that have together received 888 indexed citations. Recurring topics across this work include Subcritical and Supercritical Water Processes (8 papers), Emotion and Mood Recognition (6 papers), EEG and Brain-Computer Interfaces (6 papers), Aluminum Alloys Composites Properties (4 papers), Nanofluid Flow and Heat Transfer (4 papers), Computational Drug Discovery Methods (4 papers), Coal Combustion and Slurry Processing (4 papers) and Dermatology and Skin Diseases (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (228 citations), Human-Computer Interaction (79 citations), Cognitive Neuroscience (259 citations), Catalysis (50 citations) and Analytical Chemistry (62 citations). Yingdong Wang has collaborated with scholars based in China and United States. Frequent co-authors include Qingfeng Wu, Xiaowei Chen, Ming Qiu, Hui Jin, Huibo Wang, Dezhi Yang, Yaling Yang, Guohua Wu, Wenjiang Ding and Wencai Liu. Their work appears in journals such as Journal of Dermatological Treatment, Applied Sciences, Powder Technology, Briefings in Bioinformatics and Expert Systems with Applications.
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.