Peihao Wang
Impact in
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- Computer Graphics and Visualization Techniques
- Computational Mechanics top 5%
- 3D Shape Modeling and Analysis
Papers in
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- 3D Shape Modeling and Analysis 10
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- Advanced Neural Network Applications 5
- Generative Adversarial Networks and Image Synthesis 3
- Co-authors
- Zhangyang Wang (13 shared papers)Dejia Xu (4 shared papers)Zhiwen Fan (4 shared papers)Tianlong Chen (4 shared papers)Yi Wang (1 shared paper)Ying Ding (1 shared paper)Souvik Kundu (1 shared paper)Yifan Jiang (1 shared paper)
- Journals
- Information Fusion (1 paper)Foods (1 paper)Land Degradation and Development (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Ecotoxicology and Environmental Safety (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Peihao Wang
18 papers receiving 369 citations
Peers
Comparison fields: 5 of 44
- Computer Graphics and Computer-Aided Design 40
- Computational Mechanics 164
- Computer Vision and Pattern Recognition 159
- Artificial Intelligence 71
- Building and Construction 19
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 | 73 | |
| 2 | 2023 | 53 | |
| 3 | 2022 | 52 | |
| 4 | 2022 | 38 | |
| 5 | 2022 | 26 | |
| 6 | 2023 | 19 | |
| 7 | 2024 | 19 | |
| 8 | 2023 | 17 | |
| 9 | 2022 | 16 | |
| 10 | 2024 | 16 | |
| 11 | 2023 | 11 | |
| 12 | 2024 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2025 | 5 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Peihao Wang
Peihao Wang is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering and Aquatic Science, having authored 20 papers that have together received 373 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (10 papers), Advanced Neural Network Applications (5 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Advanced Graph Neural Networks (2 papers), Robot Manipulation and Learning (2 papers), Environmental Changes in China (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper) and Soil Geostatistics and Mapping (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (40 citations), Computational Mechanics (164 citations), Computer Vision and Pattern Recognition (159 citations), Artificial Intelligence (71 citations) and Building and Construction (19 citations). Peihao Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Zhangyang Wang, Dejia Xu, Zhiwen Fan, Tianlong Chen, Zhiwen Fan, Yi Wang, Ying Ding, Souvik Kundu, Yifan Jiang and Xinyu Gong. Their work appears in journals such as Information Fusion, Foods, Land Degradation and Development, IEEE Transactions on Pattern Analysis and Machine Intelligence and Ecotoxicology and Environmental Safety.
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.