Nanjun He

2.4k total citations
22 papers, 1.7k citations indexed

About

Nanjun He is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atmospheric Science. According to data from OpenAlex, Nanjun He has authored 22 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 14 papers in Media Technology and 9 papers in Atmospheric Science. Recurrent topics in Nanjun He's work include Remote-Sensing Image Classification (13 papers), Remote Sensing and Land Use (9 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Nanjun He is often cited by papers focused on Remote-Sensing Image Classification (13 papers), Remote Sensing and Land Use (9 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Nanjun He collaborates with scholars based in China, Spain and Germany. Nanjun He's 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 and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Medical Imaging and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Nanjun He

22 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nanjun He China 15 1.3k 830 729 269 158 22 1.7k
Xia Xu China 23 1.1k 0.8× 555 0.7× 574 0.8× 204 0.8× 114 0.7× 58 1.5k
Li Wei China 9 1.3k 1.0× 415 0.5× 842 1.2× 181 0.7× 199 1.3× 55 1.8k
Linzhi Su China 15 880 0.7× 567 0.7× 551 0.8× 261 1.0× 326 2.1× 38 1.5k
Le Sun China 27 2.1k 1.7× 978 1.2× 1.1k 1.5× 238 0.9× 186 1.2× 117 2.6k
Xuchu Yu China 20 1.5k 1.2× 537 0.6× 984 1.3× 337 1.3× 158 1.0× 52 1.8k
Ceyuan Yang Hong Kong 12 705 0.6× 1.4k 1.7× 286 0.4× 661 2.5× 146 0.9× 22 2.0k
Jianwei Zheng China 17 721 0.6× 632 0.8× 363 0.5× 287 1.1× 166 1.1× 75 1.5k
Jianzhe Lin Canada 15 849 0.7× 527 0.6× 510 0.7× 250 0.9× 76 0.5× 32 1.3k
Yuli Sun China 22 908 0.7× 322 0.4× 473 0.6× 205 0.8× 242 1.5× 56 1.3k

Countries citing papers authored by Nanjun He

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Nanjun He

This figure shows the co-authorship network connecting the top 25 collaborators of Nanjun He. A scholar is included among the top collaborators of Nanjun He 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 Nanjun He. Nanjun He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yan, Yunlu, Hong Wang, Yawen Huang, et al.. (2024). Cross-Modal Vertical Federated Learning for MRI Reconstruction. IEEE Journal of Biomedical and Health Informatics. 28(11). 6384–6394. 8 indexed citations
2.
Bi, Qi, Xu Sun, Shuang Yu, et al.. (2023). MIL-ViT: A multiple instance vision transformer for fundus image classification. Journal of Visual Communication and Image Representation. 97. 103956–103956. 23 indexed citations
3.
Li, Yuexiang, et al.. (2023). Improving vision transformer for medical image classification via token-wise perturbation. Journal of Visual Communication and Image Representation. 98. 104022–104022. 5 indexed citations
4.
Wang, Hong, Haozhe Liu, Yuexiang Li, et al.. (2023). A deep weakly semi-supervised framework for endoscopic lesion segmentation. Medical Image Analysis. 90. 102973–102973. 7 indexed citations
5.
Liu, Haozhe, Haoqian Wu, Nanjun He, et al.. (2023). AdaptiveMix: Improving GAN Training via Feature Space Shrinkage. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 16219–16229. 14 indexed citations
6.
Wang, Xiaoming, Nanjun He, & Xiaokang Li. (2022). Social network analysis of the Construction Community in the anti-epidemic emergency project: a case study of Wuhan Huoshenshan Hospital, China. Engineering Construction & Architectural Management. 30(8). 3539–3561. 4 indexed citations
7.
Xie, Qingsong, Yuexiang Li, Nanjun He, et al.. (2022). Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training. IEEE Transactions on Medical Imaging. 43(1). 4–14. 59 indexed citations
8.
Zhao, He, Yuexiang Li, Nanjun He, et al.. (2021). Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features. IEEE Transactions on Medical Imaging. 40(12). 3641–3651. 75 indexed citations
9.
Xie, Jie, Nanjun He, Leyuan Fang, & Pedram Ghamisi. (2020). Multiscale Densely-Connected Fusion Networks for Hyperspectral Images Classification. IEEE Transactions on Circuits and Systems for Video Technology. 31(1). 246–259. 89 indexed citations
10.
Fang, Leyuan, et al.. (2020). Multiscale CNNs Ensemble Based Self-Learning for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 17(9). 1593–1597. 22 indexed citations
11.
He, Nanjun, Leyuan Fang, & Antonio Plaza. (2020). Hybrid first and second order attention Unet for building segmentation in remote sensing images. Science China Information Sciences. 63(4). 90 indexed citations
12.
Cao, Ran, Leyuan Fang, Ting Lu, & Nanjun He. (2020). Self-Attention-Based Deep Feature Fusion for Remote Sensing Scene Classification. IEEE Geoscience and Remote Sensing Letters. 18(1). 43–47. 150 indexed citations
13.
He, Nanjun, Leyuan Fang, Shutao Li, Javier Plaza, & Antonio Plaza. (2019). Skip-Connected Covariance Network for Remote Sensing Scene Classification. IEEE Transactions on Neural Networks and Learning Systems. 31(5). 1461–1474. 201 indexed citations
14.
He, Nanjun, Mercedes E. Paoletti, Juan M. Haut, et al.. (2018). Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 57(2). 755–769. 220 indexed citations
15.
He, Nanjun, Leyuan Fang, Shutao Li, Antonio Plaza, & Javier Plaza. (2018). Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling. IEEE Transactions on Geoscience and Remote Sensing. 56(12). 6899–6910. 237 indexed citations
16.
He, Nanjun, et al.. (2018). Covariance Matrix Based Feature Fusion for Scene Classification. 3587–3590. 6 indexed citations
17.
Fang, Leyuan, Nanjun He, Shutao Li, Antonio Plaza, & Javier Plaza. (2018). A New Spatial–Spectral Feature Extraction Method for Hyperspectral Images Using Local Covariance Matrix Representation. IEEE Transactions on Geoscience and Remote Sensing. 56(6). 3534–3546. 159 indexed citations
18.
Fang, Leyuan, Nanjun He, Shutao Li, Pedram Ghamisi, & Jón Atli Benediktsson. (2017). Extinction Profiles Fusion for Hyperspectral Images Classification. IEEE Transactions on Geoscience and Remote Sensing. 56(3). 1803–1815. 111 indexed citations
19.
Fang, Leyuan, Nanjun He, & Hui Lin. (2017). CP tensor-based compression of hyperspectral images. Journal of the Optical Society of America A. 34(2). 252–252. 24 indexed citations
20.
He, Nanjun, Leyuan Fang, Shutao Li, Pedram Ghamisi, & Jón Atli Benediktsson. (2017). Hyperspectral images classification by fusing extinction profiles feature. elib (German Aerospace Center). 2267–2270. 4 indexed citations

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.

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