Erting Pan
Impact in
- Media Technology top 1%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Atmospheric Science top 10%
- Remote Sensing and Land Use
Papers in
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- Remote-Sensing Image Classification 13
- Advanced Image Fusion Techniques 13
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- Image and Signal Denoising Methods 6
- Image Retrieval and Classification Techniques 3
- Advanced Image Processing Techniques 3
- Advanced Image and Video Retrieval Techniques 2
- Video Surveillance and Tracking Methods 2
- Co-authors
- Xiaoguang Mei (15 shared papers)Yong Ma (13 shared papers)Jiayi Ma (12 shared papers)Fan Fan (11 shared papers)Jun Huang (9 shared papers)Xiaobing Dai (3 shared papers)Qinglei Du (1 shared paper)Hong Yuan Zheng (1 shared paper)
In The Last Decade
Erting Pan
19 papers receiving 520 citations
Erting Pan's Hit Papers
Peers
Comparison fields: 5 of 63
- Media Technology 390
- Atmospheric Science 201
- Computer Vision and Pattern Recognition 173
- Analytical Chemistry 40
- Acoustics and Ultrasonics 2
Countries citing papers authored by Erting Pan
This map shows the geographic impact of Erting Pan'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 Erting Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erting Pan more than expected).
Fields of papers citing papers by Erting Pan
This network shows the impact of papers produced by Erting Pan. 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 Erting Pan. The network helps show where Erting Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Erting Pan, 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 | Spectral-Spatial Attention Networks for Hyperspectral Image Classification Hit paper breakdown → | 2019 | 250 |
| 2 | 2020 | 68 | |
| 3 | 2022 | 38 | |
| 4 | 2019 | 23 | |
| 5 | 2021 | 21 | |
| 6 | 2019 | 18 | |
| 7 | 2019 | 15 | |
| 8 | 2024 | 14 | |
| 9 | 2025 | 12 | |
| 10 | 2022 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2023 | 10 | |
| 13 | 2024 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2019 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2025 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2026 | 0 |
About Erting Pan
Erting Pan is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Atmospheric Science, Computational Mechanics and Biomedical Engineering, having authored 20 papers that have together received 528 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (13 papers), Advanced Image Fusion Techniques (13 papers), Remote Sensing and Land Use (8 papers), Image and Signal Denoising Methods (6 papers), Image Retrieval and Classification Techniques (3 papers), Advanced Image Processing Techniques (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Media Technology (390 citations), Atmospheric Science (201 citations), Computer Vision and Pattern Recognition (173 citations), Analytical Chemistry (40 citations) and Acoustics and Ultrasonics (2 citations). Erting Pan has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Xiaoguang Mei, Yong Ma, Jiayi Ma, Fan Fan, Jun Huang, Xiaobing Dai, Qinglei Du, Hong Yuan Zheng, Quan‐De Wang and Zhiguang Yang. Their work appears in journals such as Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition, Geo-spatial Information Science and Information Fusion.
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.