Peihao Wang
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
Papers in
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- Advanced Vision and Imaging 3
- Advanced Neural Network Applications 3
- Advanced Image Processing Techniques 2
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- Advanced Graph Neural Networks 3
- Co-authors
- Zhangyang Wang (7 shared papers)Tianlong Chen (3 shared papers)Zhiwen Fan (2 shared papers)Xiang Ji (1 shared paper)Dejia Xu (1 shared paper)Yi Wang (1 shared paper)Wenqing Zheng (2 shared papers)Souvik Kundu (1 shared paper)
- Journals
- Information Fusion (1 paper)Ecotoxicology and Environmental Safety (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Thoracic Cancer (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Peihao Wang
12 papers receiving 192 citations
Peers
Comparison fields: 5 of 64
- Computer Graphics and Computer-Aided Design 47
- Computer Vision and Pattern Recognition 97
- Geology 15
- Artificial Intelligence 55
- Computational Mechanics 29
Countries citing papers authored by Peihao Wang
This map shows the geographic impact of Peihao 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 Peihao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peihao Wang more than expected).
Fields of papers citing papers by Peihao Wang
This network shows the impact of papers produced by Peihao 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 Peihao Wang. The network helps show where Peihao Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Peihao 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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 46 | |
| 2 | 2022 | 34 | |
| 3 | 2023 | 28 | |
| 4 | 2022 | 18 | |
| 5 | 1990 | 16 | |
| 6 | 2023 | 14 | |
| 7 | 2022 | 13 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2021 | 2 | |
| 12 | 2024 | 1 |
About Peihao Wang
Peihao Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 196 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (3 papers), Advanced Graph Neural Networks (3 papers), Advanced Vision and Imaging (3 papers), Advanced Neural Network Applications (3 papers), Advanced Image Processing Techniques (2 papers), Machine Learning in Bioinformatics (1 paper), Heavy Metal Exposure and Toxicity (1 paper) and Insect and Pesticide Research (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (47 citations), Computer Vision and Pattern Recognition (97 citations), Geology (15 citations), Artificial Intelligence (55 citations) and Computational Mechanics (29 citations). Peihao Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Zhangyang Wang, Tianlong Chen, Zhiwen Fan, Zhiwen Fan, Xiang Ji, Dejia Xu, Yi Wang, Wenqing Zheng, Souvik Kundu and Ying Ding. Their work appears in journals such as Information Fusion, Ecotoxicology and Environmental Safety, IEEE Transactions on Pattern Analysis and Machine Intelligence, Thoracic Cancer and SHILAP Revista de lepidopterología.
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.