Zhengyi Yang
- Materials Chemistry
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Topics
- Graph Theory and Algorithms (15 papers)Teleoperation and Haptic Systems (11 papers)Advanced Graph Neural Networks (9 papers)
- Cited by
- Process Chemistry and TechnologyComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Journals
- SHILAP Revista de lepidopterologíaAdvanced Functional MaterialsJournal of Materials Chemistry A
In The Last Decade
Zhengyi Yang
85 papers receiving 894 citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Materials Chemistry 175
- Computer Vision and Pattern Recognition 163
- Artificial Intelligence 158
- Electrical and Electronic Engineering 122
- Biomedical Engineering 117
Countries citing papers authored by Zhengyi Yang
This map shows the geographic impact of Zhengyi 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 Zhengyi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhengyi Yang more than expected).
Fields of papers citing papers by Zhengyi Yang
This network shows the impact of papers produced by Zhengyi 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 Zhengyi Yang. The network helps show where Zhengyi Yang may publish in the future.
Co-authorship network of co-authors of Zhengyi Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhengyi Yang. A scholar is included among the top collaborators of Zhengyi Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhengyi Yang. Zhengyi Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 12 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 15 | |
| 16 | 1 | |
| 17 | 52 | |
| 18 | 1 | |
| 19 | Deformable force feedback model constructed from magnetic resonance images for haptic interaction | 1 |
| 20 | 8 |
About Zhengyi Yang
Zhengyi Yang is a scholar working on Process Chemistry and Technology, Computer Vision and Pattern Recognition and Geology, having authored 93 papers that have together received 928 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (15 papers), Teleoperation and Haptic Systems (11 papers) and Advanced Graph Neural Networks (9 papers). The work is most often cited by research in Process Chemistry and Technology (39 citations), Computer Vision and Pattern Recognition (163 citations) and Human-Computer Interaction (35 citations). Zhengyi Yang has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Wenjie Zhang, Yonghua Chen, Fenglong Wang, Xuemin Lin, Jiurong Liu, Wenke Yang, Longbin Lai, Enzhu Li, Ying Yuan and David C. Reutens. Their work appears in journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Journal of Materials Chemistry A.
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.