Yida Wang
Impact in
- Geology top 5%
- 3D Surveying and Cultural Heritage
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- Computer Graphics and Visualization Techniques
Papers in
-
- Advanced Vision and Imaging 6
- Advanced Image and Video Retrieval Techniques 3
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- 3D Shape Modeling and Analysis 5
- Co-authors
- Nassir Navab (7 shared papers)Federico Tombari (7 shared papers)Guang Yang (9 shared papers)David Joseph Tan (4 shared papers)Yang Song (2 shared papers)Ying Hou (1 shared paper)Ye‐Feng Yao (1 shared paper)Jing Zhang (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (3 papers)Frontiers in Oncology (2 papers)Scientific Reports (2 papers)BioMed Research International (1 paper)International Journal of Computer Vision (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yida Wang
38 papers receiving 736 citations
Peers
Comparison fields: 5 of 91
- Geology 87
- Computer Graphics and Computer-Aided Design 45
- Obstetrics and Gynecology 66
- Health Informatics 11
- Computer Vision and Pattern Recognition 172
Countries citing papers authored by Yida Wang
This map shows the geographic impact of Yida 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 Yida Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yida Wang more than expected).
Fields of papers citing papers by Yida Wang
This network shows the impact of papers produced by Yida 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 Yida Wang. The network helps show where Yida Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yida 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 | 2020 | 200 | |
| 2 | 2020 | 87 | |
| 3 | 2020 | 75 | |
| 4 | 2005 | 53 | |
| 5 | 2019 | 46 | |
| 6 | 2022 | 44 | |
| 7 | HAWQ-V3: Dyadic Neural Network Quantization | 2021 | 30 |
| 8 | 2019 | 27 | |
| 9 | 2021 | 22 | |
| 10 | 2022 | 17 | |
| 11 | 2022 | 15 | |
| 12 | 2014 | 15 | |
| 13 | 2021 | 14 | |
| 14 | 2022 | 14 | |
| 15 | 2019 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2024 | 7 | |
| 20 | 2021 | 7 |
About Yida Wang
Yida Wang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Genetics and Environmental Engineering, having authored 40 papers that have together received 752 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Computer Graphics and Visualization Techniques (5 papers), 3D Shape Modeling and Analysis (5 papers), Glioma Diagnosis and Treatment (4 papers), Land Use and Ecosystem Services (3 papers), 3D Surveying and Cultural Heritage (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Environmental Impact and Sustainability (3 papers). The work is most often cited by research in Geology (87 citations), Computer Graphics and Computer-Aided Design (45 citations), Obstetrics and Gynecology (66 citations), Health Informatics (11 citations) and Computer Vision and Pattern Recognition (172 citations). Yida Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Nassir Navab, Federico Tombari, Guang Yang, David Joseph Tan, Yang Song, Ying Hou, Ye‐Feng Yao, Jing Zhang, Xu Yan and Minxiong Zhou. Their work appears in journals such as IEEE Robotics and Automation Letters, Frontiers in Oncology, Scientific Reports, BioMed Research International and International Journal of Computer Vision.
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.