Nanjun He
Impact in
- Media Technology top 0.2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Atmospheric Science top 2%
- Remote Sensing and Land Use
Papers in
-
- Advanced Image and Video Retrieval Techniques 5
- Advanced Neural Network Applications 2
-
- Remote-Sensing Image Classification 13
- Advanced Image Fusion Techniques 4
- Co-authors
- Leyuan Fang (15 shared papers)Antonio Plaza (7 shared papers)Shutao Li (7 shared papers)Javier Plaza (4 shared papers)Jie Xie (2 shared papers)Pedram Ghamisi (3 shared papers)Ting Lu (1 shared paper)Ran Cao (1 shared paper)
In The Last Decade
Nanjun He
22 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 99
- Media Technology 1.3k
- Atmospheric Science 729
- Computer Vision and Pattern Recognition 830
- Computational Mathematics 19
- Artificial Intelligence 269
Countries citing papers authored by Nanjun He
This map shows the geographic impact of Nanjun He'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 Nanjun He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanjun He more than expected).
Fields of papers citing papers by Nanjun He
This network shows the impact of papers produced by Nanjun He. 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 Nanjun He. The network helps show where Nanjun He may publish in the future.
Co-authors
The 25 scholars most cited alongside Nanjun He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 237 | |
| 2 | 2018 | 220 | |
| 3 | 2019 | 201 | |
| 4 | 2019 | 172 | |
| 5 | 2018 | 159 | |
| 6 | 2020 | 150 | |
| 7 | 2017 | 111 | |
| 8 | 2020 | 90 | |
| 9 | 2020 | 89 | |
| 10 | 2021 | 75 | |
| 11 | 2022 | 59 | |
| 12 | 2017 | 24 | |
| 13 | 2023 | 23 | |
| 14 | 2020 | 22 | |
| 15 | 2023 | 14 | |
| 16 | 2024 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2018 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2019 | 5 |
About Nanjun He
Nanjun He is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Atmospheric Science, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 22 papers that have together received 1.7k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (13 papers), Remote Sensing and Land Use (9 papers), Advanced Image and Video Retrieval Techniques (5 papers), Advanced Image Fusion Techniques (4 papers), COVID-19 diagnosis using AI (2 papers), Advanced Neural Network Applications (2 papers), Remote Sensing in Agriculture (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Media Technology (1.3k citations), Atmospheric Science (729 citations), Computer Vision and Pattern Recognition (830 citations), Computational Mathematics (19 citations) and Artificial Intelligence (269 citations). Nanjun He has collaborated with scholars based in China, Spain and Germany. Frequent co-authors include Leyuan Fang, Antonio Plaza, Shutao Li, Javier Plaza, Jie Xie, Pedram Ghamisi, Ting Lu, Ran Cao, Juan M. Haut and Mercedes E. Paoletti. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Medical Imaging, IEEE Geoscience and Remote Sensing Letters, Journal of Visual Communication and Image Representation and Science China Information Sciences.
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.