Junrui Yang
Impact in
- Human-Computer Interaction top 1%
- Virtual Reality Applications and Impacts
- Interactive and Immersive Displays
- Cognitive Neuroscience top 10%
- Tactile and Sensory Interactions
Papers in
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- Data Mining Algorithms and Applications 10
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- Electrical Contact Performance and Analysis 4
- Co-authors
- James A. Landay (10 shared papers)Sean Follmer (3 shared papers)Richard Laura (2 shared papers)Adel Moussa (2 shared papers)Parastoo Abtahi (1 shared paper)Benoit Landry (1 shared paper)Marco Pavone (1 shared paper)Guojun Chen (1 shared paper)
- Journals
- Ceramics International (2 papers)Sustainability (2 papers)Tetrahedron Letters (1 paper)IEEE Robotics and Automation Letters (1 paper)Molecules (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Junrui Yang
45 papers receiving 814 citations
Peers
Comparison fields: 5 of 117
- Human-Computer Interaction 261
- Cognitive Neuroscience 168
- Health Informatics 8
- Computer Vision and Pattern Recognition 112
- Biochemistry 36
Countries citing papers authored by Junrui Yang
This map shows the geographic impact of Junrui Yang'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 Junrui Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junrui Yang more than expected).
Fields of papers citing papers by Junrui Yang
This network shows the impact of papers produced by Junrui Yang. 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 Junrui Yang. The network helps show where Junrui Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junrui Yang, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 96 | |
| 2 | 2019 | 88 | |
| 3 | 1995 | 82 | |
| 4 | 2021 | 64 | |
| 5 | 2015 | 57 | |
| 6 | 2019 | 48 | |
| 7 | 2016 | 41 | |
| 8 | 2018 | 33 | |
| 9 | 2016 | 33 | |
| 10 | 2016 | 32 | |
| 11 | 2022 | 29 | |
| 12 | 1991 | 27 | |
| 13 | 2011 | 27 | |
| 14 | 2017 | 25 | |
| 15 | 2022 | 24 | |
| 16 | 2019 | 17 | |
| 17 | 2024 | 12 | |
| 18 | 2020 | 12 | |
| 19 | 2020 | 8 | |
| 20 | 2017 | 7 |
About Junrui Yang
Junrui Yang is a scholar working on Information Systems, Mechanical Engineering, Human-Computer Interaction, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 49 papers that have together received 827 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (10 papers), Rough Sets and Fuzzy Logic (8 papers), Tactile and Sensory Interactions (6 papers), Virtual Reality Applications and Impacts (4 papers), Electrical Contact Performance and Analysis (4 papers), Data Management and Algorithms (3 papers), Advanced ceramic materials synthesis (3 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Human-Computer Interaction (261 citations), Cognitive Neuroscience (168 citations), Health Informatics (8 citations), Computer Vision and Pattern Recognition (112 citations) and Biochemistry (36 citations). Junrui Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include James A. Landay, Sean Follmer, Richard Laura, Adel Moussa, Parastoo Abtahi, Benoit Landry, Marco Pavone, Guojun Chen, Guobin Shen and Chenren Xu. Their work appears in journals such as Ceramics International, Sustainability, Tetrahedron Letters, IEEE Robotics and Automation Letters and Molecules.
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.