Nanjun He
Impact in
- Media Technology top 0.1%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Computational Mathematics top 5%
Papers in
-
- Remote-Sensing Image Classification 12
-
- Retinal Imaging and Analysis 3
- Co-authors
- Leyuan Fang (15 shared papers)Antonio Plaza (8 shared papers)Shutao Li (7 shared papers)Javier Plaza (4 shared papers)Jie Xie (2 shared papers)Yuexiang Li (13 shared papers)Yefeng Zheng (12 shared papers)Pedram Ghamisi (3 shared papers)
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (5 papers)Journal of Visual Communication and Image Representation (2 papers)IEEE Geoscience and Remote Sensing Letters (2 papers)IEEE Transactions on Medical Imaging (2 papers)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
In The Last Decade
Nanjun He
27 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 85
- Media Technology 1.3k
- Computational Mathematics 23
- Computer Vision and Pattern Recognition 365
- Neurology 66
- Artificial Intelligence 252
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 250 | |
| 2 | 2018 | 238 | |
| 3 | 2019 | 216 | |
| 4 | 2019 | 185 | |
| 5 | 2018 | 166 | |
| 6 | 2020 | 160 | |
| 7 | 2022 | 135 | |
| 8 | 2017 | 118 | |
| 9 | 2021 | 106 | |
| 10 | 2020 | 97 | |
| 11 | 2020 | 97 | |
| 12 | 2021 | 96 | |
| 13 | 2022 | 85 | |
| 14 | 2023 | 37 | |
| 15 | 2017 | 25 | |
| 16 | 2020 | 22 | |
| 17 | 2024 | 22 | |
| 18 | 2023 | 19 | |
| 19 | 2023 | 13 | |
| 20 | 2023 | 10 |
About Nanjun He
Nanjun He is a scholar working on Media Technology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mathematics, having authored 27 papers that have together received 2.1k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (12 papers), Domain Adaptation and Few-Shot Learning (3 papers), Retinal Imaging and Analysis (3 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Neural Network Applications (2 papers), Brain Tumor Detection and Classification (1 paper), Privacy-Preserving Technologies in Data (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Media Technology (1.3k citations), Computational Mathematics (23 citations), Computer Vision and Pattern Recognition (365 citations), Neurology (66 citations) and Artificial Intelligence (252 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, Yuexiang Li, Yefeng Zheng, Pedram Ghamisi, Kai Ma and Ting Lu. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Visual Communication and Image Representation, IEEE Geoscience and Remote Sensing Letters, IEEE Transactions on Medical Imaging and IEEE Transactions on Neural Networks and Learning Systems.
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.