Puhong Duan

3.1k total citations
88 papers, 2.2k citations indexed

About

Puhong Duan is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Puhong Duan has authored 88 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Media Technology, 43 papers in Computer Vision and Pattern Recognition and 25 papers in Atmospheric Science. Recurrent topics in Puhong Duan's work include Remote-Sensing Image Classification (61 papers), Advanced Image Fusion Techniques (37 papers) and Remote Sensing and Land Use (25 papers). Puhong Duan is often cited by papers focused on Remote-Sensing Image Classification (61 papers), Advanced Image Fusion Techniques (37 papers) and Remote Sensing and Land Use (25 papers). Puhong Duan collaborates with scholars based in China, Germany and Spain. Puhong Duan's co-authors include Xudong Kang, Shutao Li, Pedram Ghamisi, Jón Atli Benediktsson, Jian Kang, Wei Liu, Ming Yin, Shahab S. Band, Xiaohui Wei and Amirhosein Mosavi and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Puhong Duan

79 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Puhong Duan China 27 1.5k 793 580 304 230 88 2.2k
Ying Qu China 20 1.3k 0.9× 589 0.7× 549 0.9× 315 1.0× 150 0.7× 104 2.1k
Mingmin Chi China 21 1.5k 1.0× 873 1.1× 819 1.4× 550 1.8× 104 0.5× 65 2.7k
Shaohui Mei China 31 2.5k 1.6× 1.9k 2.4× 986 1.7× 415 1.4× 409 1.8× 181 3.8k
Ronny Hänsch Germany 22 710 0.5× 495 0.6× 276 0.5× 230 0.8× 350 1.5× 97 1.7k
Hongqi Wang China 26 1.4k 0.9× 1.8k 2.2× 443 0.8× 395 1.3× 516 2.2× 107 3.0k
Hongmin Gao China 27 1.2k 0.8× 576 0.7× 598 1.0× 265 0.9× 239 1.0× 173 2.0k
Ping Zhong China 24 1.9k 1.2× 1.0k 1.3× 907 1.6× 478 1.6× 328 1.4× 82 2.7k
Mingming Xu China 19 411 0.3× 258 0.3× 220 0.4× 254 0.8× 249 1.1× 117 1.2k

Countries citing papers authored by Puhong Duan

Since Specialization
Citations

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

Fields of papers citing papers by Puhong Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Puhong Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Puhong Duan. A scholar is included among the top collaborators of Puhong Duan 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 Puhong Duan. Puhong Duan 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.
Li, Jun, et al.. (2025). Low-Latency Neural Network for Efficient Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 7374–7390. 1 indexed citations
3.
Li, Zhen, Puhong Duan, Jialin Zheng, et al.. (2025). SSFNet: Spectral–Spatial Fusion Network for Hyperspectral Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–11. 3 indexed citations
4.
Liu, Wei, et al.. (2025). Underwater image enhancement based on adaptive information transfer and weighted stationary wavelet perception fusion. Optics & Laser Technology. 192. 113625–113625. 1 indexed citations
5.
Duan, Puhong, et al.. (2024). Classwise Prototype-Guided Alignment Network for Cross-Scene Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–11. 6 indexed citations
6.
Long, Zhuo, et al.. (2024). Fault Diagnosis of Harmonic Drives Based on Markov Field Graph Information. IEEE Sensors Journal. 24(12). 19891–19900. 7 indexed citations
7.
Kang, Xudong, et al.. (2023). MOFA: A novel dataset for Multi-modal Image Fusion Applications. Information Fusion. 96. 144–155. 8 indexed citations
8.
Duan, Puhong, Xudong Kang, Pedram Ghamisi, & Shutao Li. (2023). Hyperspectral Remote Sensing Benchmark Database for Oil Spill Detection With an Isolation Forest-Guided Unsupervised Detector. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–11. 76 indexed citations
9.
Kang, Xudong, et al.. (2023). Two-Dimensional Spectral Representation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–9. 20 indexed citations
10.
Duan, Puhong, et al.. (2023). Learning Local and Global Feature Representation for Hyperspectral and LiDAR Data Fusion. 307–310. 1 indexed citations
11.
Zhang, Li, et al.. (2022). Mixed Noise Removal for Hyperspectral Image With ${l_{0}}$-${l_{1 - 2}}$SSTV Regularization. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 5371–5387. 10 indexed citations
12.
Duan, Puhong, et al.. (2021). Edge-Preserving Filtering-Based Dehazing for Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 18 indexed citations
13.
Nosratabadi, Saeed, Amirhosein Mosavi, Puhong Duan, et al.. (2020). Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods. Mathematics. 8(10). 1799–1799. 98 indexed citations
14.
Duan, Puhong, Pedram Ghamisi, Xudong Kang, et al.. (2020). Component Decomposition-Based Hyperspectral Resolution Enhancement for Mineral Mapping. Remote Sensing. 12(18). 2903–2903. 12 indexed citations
15.
Duan, Puhong, Xudong Kang, Pedram Ghamisi, & Yü Liu. (2020). Multilevel Structure Extraction-Based Multi-Sensor Data Fusion. Remote Sensing. 12(24). 4034–4034. 11 indexed citations
16.
Duan, Puhong, et al.. (2020). Texture-aware total variation-based removal of sun glint in hyperspectral images. ISPRS Journal of Photogrammetry and Remote Sensing. 166. 359–372. 62 indexed citations
17.
Mosavi, Amirhosein, Pedram Ghamisi, Puhong Duan, et al.. (2020). Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics. Mathematics. 8(10). 1640–1640. 100 indexed citations
18.
Duan, Puhong, Xudong Kang, Shutao Li, & Pedram Ghamisi. (2019). Multichannel Pulse-Coupled Neural Network-Based Hyperspectral Image Visualization. IEEE Transactions on Geoscience and Remote Sensing. 58(4). 2444–2456. 34 indexed citations
19.
Duan, Puhong, Xudong Kang, Shutao Li, & Pedram Ghamisi. (2019). Noise-Robust Hyperspectral Image Classification via Multi-Scale Total Variation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(6). 1948–1962. 85 indexed citations
20.
Duan, Puhong, Xudong Kang, Shutao Li, Pedram Ghamisi, & Jón Atli Benediktsson. (2019). Fusion of Multiple Edge-Preserving Operations for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 57(12). 10336–10349. 101 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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