Chao Peng
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Media Technology top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Aerospace Engineering
- Topics
- Advanced Neural Network Applications (7 papers)Animal Ecology and Behavior Studies (4 papers)Wildlife Ecology and Conservation (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEFrontiers in Microbiology
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Chao Peng
22 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 1.0k
- Artificial Intelligence 444
- Media Technology 163
- Radiology, Nuclear Medicine and Imaging 139
- Aerospace Engineering 84
Countries citing papers authored by Chao Peng
This map shows the geographic impact of Chao 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 Chao Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Peng more than expected).
Fields of papers citing papers by Chao Peng
This network shows the impact of papers produced by Chao 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 Chao Peng. The network helps show where Chao Peng may publish in the future.
Co-authorship network of co-authors of Chao Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Chao Peng. A scholar is included among the top collaborators of Chao 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 Chao Peng. Chao 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 | 1 | |
| 3 | 1 | |
| 4 | 18 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study | 21 |
| 11 | 43 | |
| 12 | Physiological, Biochemical Responses and Apoptosis- Related Genes Expressions of Hypoxia and Re- Oxygenation Stress in an Economically Important Mariculture Fish, the Chinese Sea Bass (Lateolabrax maculatus) | 1 |
| 13 | 10 | |
| 14 | Objects365: A Large-Scale, High-Quality Dataset for Object Detectionbreakdown → | 373 |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 93 | |
| 18 | Learning a Discriminative Feature Network for Semantic Segmentationbreakdown → | 605 |
| 19 | 33 | |
| 20 | 4 |
About Chao Peng
Chao Peng is a scholar working on Computer Vision and Pattern Recognition, Nature and Landscape Conservation and Ecology, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Animal Ecology and Behavior Studies (4 papers) and Wildlife Ecology and Conservation (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Media Technology (163 citations) and Artificial Intelligence (444 citations). Chao Peng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Gang Yu, Changqian Yu, Jingbo Wang, Nong Sang, Changxin Gao, Xiangyu Zhang, Tianyuan Zhang, Shuai Shao, Jian Sun and Jing Li. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Microbiology.
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.