Peicheng Zhou
- Computer Vision and Pattern Recognition top 0.2%
- Media Technology top 0.1%
- Aerospace Engineering top 2%
- Artificial Intelligence top 2%
- Atmospheric Science top 5%
- Topics
- Remote-Sensing Image Classification (18 papers)Advanced Image and Video Retrieval Techniques (15 papers)Infrared Target Detection Methodologies (7 papers)
In The Last Decade
Peicheng Zhou
23 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Computer Vision and Pattern Recognition 2.8k
- Media Technology 2.1k
- Aerospace Engineering 697
- Artificial Intelligence 506
- Atmospheric Science 452
Countries citing papers authored by Peicheng Zhou
This map shows the geographic impact of Peicheng Zhou'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 Peicheng Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peicheng Zhou more than expected).
Fields of papers citing papers by Peicheng Zhou
This network shows the impact of papers produced by Peicheng Zhou. 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 Peicheng Zhou. The network helps show where Peicheng Zhou may publish in the future.
Co-authorship network of co-authors of Peicheng Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Peicheng Zhou. A scholar is included among the top collaborators of Peicheng Zhou 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 Peicheng Zhou. Peicheng Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 16 | |
| 3 | 0 | |
| 4 | 65 | |
| 5 | 22 | |
| 6 | 94 | |
| 7 | 17 | |
| 8 | Learning Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detectionbreakdown → | 343 |
| 9 | 102 | |
| 10 | 111 | |
| 11 | 22 | |
| 12 | 120 | |
| 13 | Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Imagesbreakdown → | 1406 |
| 14 | 78 | |
| 15 | 58 | |
| 16 | 10 | |
| 17 | 80 | |
| 18 | 169 | |
| 19 | 2 | |
| 20 | 146 |
About Peicheng Zhou
Peicheng Zhou is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 24 papers that have together received 3.9k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (18 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Infrared Target Detection Methodologies (7 papers). The work is most often cited by research in Media Technology (2.1k citations), Computer Vision and Pattern Recognition (2.8k citations) and Aerospace Engineering (697 citations). Peicheng Zhou has collaborated with scholars based in China and Australia. Frequent co-authors include Gong Cheng, Junwei Han, Lei Guo, Dong Xu, Baochang Zhang, Xiwen Yao, Xintao Hu, Shuhui Bu, Zhenbao Liu and Xun Yang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Remote Sensing.
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.