Peng Luo
- Plant Science
- Computer Vision and Pattern Recognition top 10%
- Applied Mathematics top 5%
- Mechanical Engineering
- Control and Systems Engineering
- Co-authors
- Shuren ZhouTardi TjahjadiXijian FanYi RenRui ZhouHengrui MaHua ChenFuqi Ma
- Topics
- Advanced Mathematical Modeling in Engineering (4 papers)Advanced Steganography and Watermarking Techniques (4 papers)Nonlinear Partial Differential Equations (4 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Peng Luo
23 papers receiving 446 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Plant Science 128
- Computer Vision and Pattern Recognition 96
- Applied Mathematics 76
- Mechanical Engineering 55
- Control and Systems Engineering 53
Countries citing papers authored by Peng Luo
This map shows the geographic impact of Peng Luo'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 Peng Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Luo more than expected).
Fields of papers citing papers by Peng Luo
This network shows the impact of papers produced by Peng Luo. 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 Peng Luo. The network helps show where Peng Luo may publish in the future.
Co-authorship network of co-authors of Peng Luo
This figure shows the co-authorship network connecting the top 25 collaborators of Peng Luo. A scholar is included among the top collaborators of Peng Luo 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 Peng Luo. Peng Luo 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 | 5 | |
| 3 | 12 | |
| 4 | 32 | |
| 5 | 58 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | Leaf image based plant disease identification using transfer learning and feature fusionbreakdown → | 114 |
| 9 | 8 | |
| 10 | 6 | |
| 11 | 21 | |
| 12 | 85 | |
| 13 | 2 | |
| 14 | 26 | |
| 15 | 46 | |
| 16 | 7 | |
| 17 | 14 | |
| 18 | Denoising Method of Image Based on Undecimated Curvelet Transform | 1 |
| 19 | 1 | |
| 20 | A Maneuvering Target Tracking Algorithm Based on Wavelet Transform | 0 |
About Peng Luo
Peng Luo is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Applied Mathematics, having authored 25 papers that have together received 472 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (4 papers), Advanced Steganography and Watermarking Techniques (4 papers) and Nonlinear Partial Differential Equations (4 papers). The work is most often cited by research in Applied Mathematics (76 citations), Mathematical Physics (43 citations) and Computer Vision and Pattern Recognition (96 citations). Peng Luo has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Shuren Zhou, Tardi Tjahjadi, Xijian Fan, Yi Ren, Rui Zhou, Hengrui Ma, Hua Chen, Fuqi Ma, Bo Wang and Hongxia Wang. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal and Computers and Electronics in Agriculture.
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.