Sida Peng
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- Computer Graphics and Visualization Techniques 21
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- Advanced Vision and Imaging 29
- Human Pose and Action Recognition 11
- Generative Adversarial Networks and Image Synthesis 5
- Computational Mechanics top 1%
- 3D Shape Modeling and Analysis 21
- Geology top 2%
- 3D Surveying and Cultural Heritage 4
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- Human Motion and Animation 5
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- Robotics and Sensor-Based Localization 9
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (5 papers)Advanced Materials Technologies (1 paper)Marketing Science (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Sida Peng
56 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Computer Graphics and Computer-Aided Design 605
- Computer Vision and Pattern Recognition 1.6k
- Computational Mechanics 758
- Geology 161
- Control and Systems Engineering 628
Countries citing papers authored by Sida Peng
This map shows the geographic impact of Sida Peng'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 Sida Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sida Peng more than expected).
Fields of papers citing papers by Sida Peng
This network shows the impact of papers produced by Sida Peng. 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 Sida Peng. The network helps show where Sida Peng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sida Peng, 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 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 0 | |
| 12 | 2024 | 11 | |
| 13 | 2024 | 4 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 15 | |
| 16 | 2023 | 7 | |
| 17 | 2023 | 0 | |
| 18 | 2023 | 40 | |
| 19 | 2022 | 11 | |
| 20 | 2022 | 25 |
About Sida Peng
Sida Peng is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Geology and Signal Processing, having authored 63 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (29 papers), 3D Shape Modeling and Analysis (21 papers), Computer Graphics and Visualization Techniques (21 papers), Human Pose and Action Recognition (11 papers), Robotics and Sensor-Based Localization (9 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Human Motion and Animation (5 papers) and 3D Surveying and Cultural Heritage (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (605 citations), Computer Vision and Pattern Recognition (1.6k citations), Computational Mechanics (758 citations), Geology (161 citations) and Control and Systems Engineering (628 citations). Sida Peng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaowei Zhou, Hujun Bao, Qixing Huang, Yuan Liu, Qing Shuai, Qianqian Wang, Yinghao Xu, Yuanqing Zhang, Haotong Lin and Shangzhan Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Advanced Materials Technologies, Marketing Science, IEEE Transactions on Visualization and Computer Graphics and Advanced Engineering Materials.
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.