Penglong Li
Impact in
- Media Technology top 5%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
-
- Image Enhancement Techniques
- Video Surveillance and Tracking Methods
- Advanced Image Processing Techniques
Papers in
-
- Advanced Image Fusion Techniques 3
- Remote-Sensing Image Classification 3
- Co-authors
- Yong Li (1 shared paper)Neal Mazur (1 shared paper)Hongyan Wei (1 shared paper)Hongliang Li (6 shared papers)Guanqiu Qi (1 shared paper)Zhiqin Zhu (2 shared papers)Zhi‐Gang She (6 shared papers)Yuanyuan Li (1 shared paper)
- Journals
- Remote Sensing (3 papers)Cell Metabolism (1 paper)Hypertension (1 paper)Obesity (1 paper)ISPRS Journal of Photogrammetry and Remote Sensing (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Penglong Li
19 papers receiving 269 citations
Peers
Comparison fields: 5 of 82
- Media Technology 72
- Computer Vision and Pattern Recognition 81
- Geology 15
- Space and Planetary Science 3
- Hepatology 17
Countries citing papers authored by Penglong Li
This map shows the geographic impact of Penglong Li'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 Penglong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Penglong Li more than expected).
Fields of papers citing papers by Penglong Li
This network shows the impact of papers produced by Penglong Li. 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 Penglong Li. The network helps show where Penglong Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Penglong Li, 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 | 2021 | 65 | |
| 2 | 2019 | 64 | |
| 3 | 2021 | 36 | |
| 4 | 2020 | 23 | |
| 5 | 2021 | 21 | |
| 6 | 2021 | 13 | |
| 7 | 2015 | 13 | |
| 8 | 2021 | 11 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2018 | 3 | |
| 13 | 2017 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2017 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2015 | 1 | |
| 20 | 2024 | 0 |
About Penglong Li
Penglong Li is a scholar working on Media Technology, Molecular Biology, Computer Vision and Pattern Recognition, Ocean Engineering and Artificial Intelligence, having authored 20 papers that have together received 273 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (3 papers), Remote-Sensing Image Classification (3 papers), Remote Sensing and Land Use (3 papers), Video Surveillance and Tracking Methods (2 papers), Remote Sensing and LiDAR Applications (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Advanced Vision and Imaging (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Media Technology (72 citations), Computer Vision and Pattern Recognition (81 citations), Geology (15 citations), Space and Planetary Science (3 citations) and Hepatology (17 citations). Penglong Li has collaborated with scholars based in China and United States. Frequent co-authors include Yong Li, Neal Mazur, Hongyan Wei, Hongliang Li, Guanqiu Qi, Zhiqin Zhu, Zhi‐Gang She, Yuanyuan Li, Yi Ding and Tao Zhang. Their work appears in journals such as Remote Sensing, Cell Metabolism, Hypertension, Obesity and ISPRS Journal of Photogrammetry 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.