Tao Peng
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 5%
- Electrical and Electronic Engineering
- Topics
- Generative Adversarial Networks and Image Synthesis (17 papers)3D Shape Modeling and Analysis (15 papers)Computer Graphics and Visualization Techniques (9 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Tao Peng
67 papers receiving 610 citations
Peers
Comparison fields: 5 of 94
- Computer Networks and Communications 159
- Artificial Intelligence 144
- Computer Vision and Pattern Recognition 136
- Signal Processing 136
- Electrical and Electronic Engineering 116
Countries citing papers authored by Tao Peng
This map shows the geographic impact of Tao 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 Tao Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Peng more than expected).
Fields of papers citing papers by Tao Peng
This network shows the impact of papers produced by Tao 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 Tao Peng. The network helps show where Tao Peng may publish in the future.
Co-authorship network of co-authors of Tao Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Tao Peng. A scholar is included among the top collaborators of Tao Peng 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 Tao Peng. Tao Peng 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 | 0 | |
| 3 | 16 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 0 | |
| 15 | 26 | |
| 16 | 1 | |
| 17 | 18 | |
| 18 | 2 | |
| 19 | 31 | |
| 20 | An effective SVM parameter selection optimazation method | 1 |
About Tao Peng
Tao Peng is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 76 papers that have together received 633 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (17 papers), 3D Shape Modeling and Analysis (15 papers) and Computer Graphics and Visualization Techniques (9 papers). The work is most often cited by research in Biophysics (95 citations), Signal Processing (136 citations) and Computer Networks and Communications (159 citations). Tao Peng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shi Dong, Robert F. Murphy, Xinrong Hu, Feng Yu, Minghua Jiang, Jing Liang, Ming Hu, Xiao Qin, Luís Pedro Coelho and Gustavo K. Rohde. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Neurocomputing.
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.