Hang Fu

718 total citations
28 papers, 553 citations indexed

About

Hang Fu is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hang Fu has authored 28 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Media Technology, 16 papers in Atmospheric Science and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hang Fu's work include Remote-Sensing Image Classification (20 papers), Remote Sensing and Land Use (16 papers) and Advanced Image Fusion Techniques (15 papers). Hang Fu is often cited by papers focused on Remote-Sensing Image Classification (20 papers), Remote Sensing and Land Use (16 papers) and Advanced Image Fusion Techniques (15 papers). Hang Fu collaborates with scholars based in China, United Kingdom and Australia. Hang Fu's co-authors include Aizhu Zhang, Genyun Sun, Xiuping Jia, Jinchang Ren, Huimin Zhao, Yanjuan Yao, Lixin Wu, Xuming Zhang, Jaime Zabalza and Li Zhang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Remote Sensing and IEEE Transactions on Cybernetics.

In The Last Decade

Hang Fu

26 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hang Fu China 11 416 230 150 75 70 28 553
Jinghui Yang China 12 325 0.8× 176 0.8× 150 1.0× 60 0.8× 47 0.7× 45 482
L. Carlin Italy 5 349 0.8× 198 0.9× 133 0.9× 116 1.5× 44 0.6× 7 436
Sergio Bernabé Spain 15 481 1.2× 278 1.2× 209 1.4× 175 2.3× 58 0.8× 43 681
Shuli Cheng China 10 432 1.0× 251 1.1× 171 1.1× 123 1.6× 26 0.4× 25 612
Fenlong Jiang China 12 399 1.0× 262 1.1× 117 0.8× 115 1.5× 39 0.6× 30 541
Shaoyu Wang China 8 485 1.2× 227 1.0× 143 1.0× 75 1.0× 41 0.6× 15 639
Mi Zhang China 10 369 0.9× 230 1.0× 143 1.0× 144 1.9× 52 0.7× 32 527
Ruyi Feng China 10 338 0.8× 165 0.7× 141 0.9× 104 1.4× 45 0.6× 16 429
Nathan Longbotham United States 8 455 1.1× 242 1.1× 151 1.0× 195 2.6× 104 1.5× 20 637
Moussa Sofiane Karoui Algeria 11 357 0.9× 192 0.8× 98 0.7× 79 1.1× 40 0.6× 89 466

Countries citing papers authored by Hang Fu

Since Specialization
Citations

This map shows the geographic impact of Hang Fu'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 Hang Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Fu more than expected).

Fields of papers citing papers by Hang Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hang Fu. 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 Hang Fu. The network helps show where Hang Fu may publish in the future.

Co-authorship network of co-authors of Hang Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Fu. A scholar is included among the top collaborators of Hang Fu 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 Hang Fu. Hang Fu 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.
Ren, Jinchang, et al.. (2025). GASSM: Global attention and state space model based end-to-end hyperspectral change detection. Journal of the Franklin Institute. 362(3). 107424–107424. 1 indexed citations
2.
Sun, Genyun, et al.. (2025). Dual-Branch Attention Convolution Spectral–Spatial Feature Extraction Networks for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 16647–16662.
3.
Fu, Hang, Ziyan Ling, Genyun Sun, et al.. (2024). HyperDehazing: A hyperspectral image dehazing benchmark dataset and a deep learning model for haze removal. ISPRS Journal of Photogrammetry and Remote Sensing. 218. 663–677. 16 indexed citations
4.
Ao, Wei, et al.. (2024). Enrich, Distill and Fuse: Generalized Few-Shot Semantic Segmentation in Remote Sensing Leveraging Foundation Model’s Assistance. Open Access Institutional Repository at Robert Gordon University (Robert Gordon University). 2771–2780. 4 indexed citations
5.
Sun, Genyun, et al.. (2024). ESNet: Anti-Hierarchical Encoder–Decoder Network With Surrounding Expansion and Stripping for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 1 indexed citations
6.
Fu, Hang, Genyun Sun, Li Zhang, et al.. (2023). Three-dimensional singular spectrum analysis for precise land cover classification from UAV-borne hyperspectral benchmark datasets. ISPRS Journal of Photogrammetry and Remote Sensing. 203. 115–134. 49 indexed citations
7.
Fu, Hang, et al.. (2023). Tensor Singular Spectrum Analysis for 3-D Feature Extraction in Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–14. 30 indexed citations
8.
Sun, Genyun, et al.. (2023). Multi-scale spectral-spatial dual-transformer network for hyperspectral image classification. International Journal of Remote Sensing. 44(7). 2480–2494. 7 indexed citations
9.
Zhang, Yuye, et al.. (2022). Exploring the Influence and Time Variation of Impervious Surface Materials on Urban Surface Heat Island. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 6276–6279.
10.
Zhang, Aizhu, Hang Fu, Genyun Sun, et al.. (2022). Superpixel Nonlocal Weighting Joint Sparse Representation for Hyperspectral Image Classification. Remote Sensing. 14(9). 2125–2125. 5 indexed citations
11.
12.
13.
Sun, Genyun, et al.. (2021). Hyperspectral image-based vegetation index (HSVI): A new vegetation index for urban ecological research. International Journal of Applied Earth Observation and Geoinformation. 103. 102529–102529. 39 indexed citations
14.
Sun, Genyun, Hang Fu, Jinchang Ren, et al.. (2021). SpaSSA: Superpixelwise Adaptive SSA for Unsupervised Spatial–Spectral Feature Extraction in Hyperspectral Image. IEEE Transactions on Cybernetics. 52(7). 6158–6169. 54 indexed citations
15.
Zhang, Xuming, Genyun Sun, Xiuping Jia, et al.. (2021). Spectral–Spatial Self-Attention Networks for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 87 indexed citations
16.
Fu, Hang, Genyun Sun, Jaime Zabalza, et al.. (2020). A Novel Spectral-Spatial Singular Spectrum Analysis Technique for Near Real-Time In Situ Feature Extraction in Hyperspectral Imaging. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 2214–2225. 15 indexed citations
17.
Fu, Hang, Genyun Sun, Jinchang Ren, et al.. (2020). 2D-SSA Based Multiscale Feature Fusion for Feature Extraction and Data Classification in Hyperspectral Imagery. 76–79. 1 indexed citations
18.
Zhang, Xuming, Aizhu Zhang, Hang Fu, et al.. (2019). Fusion Of Low-And High-Level Features For Uav Hyperspectral Image Classification. 55. 1–4. 2 indexed citations
19.
Fu, Hang, et al.. (2012). A real-time multi-view interlacing architecture for auto-stereoscopic 3DTV display based on FPGA. 3639. 1569–1572. 3 indexed citations
20.
Jin, Pengfei, et al.. (2012). Real-time 3DTV system for autostereoscopic displays. 621–626. 2 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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