Pan Chen

594 total citations · 1 hit paper
25 papers, 437 citations indexed

About

Pan Chen is a scholar working on Media Technology, Atmospheric Science and Ecology. According to data from OpenAlex, Pan Chen has authored 25 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Media Technology, 13 papers in Atmospheric Science and 7 papers in Ecology. Recurrent topics in Pan Chen's work include Remote-Sensing Image Classification (17 papers), Remote Sensing and Land Use (13 papers) and Remote Sensing in Agriculture (6 papers). Pan Chen is often cited by papers focused on Remote-Sensing Image Classification (17 papers), Remote Sensing and Land Use (13 papers) and Remote Sensing in Agriculture (6 papers). Pan Chen collaborates with scholars based in China, Tanzania and Hong Kong. Pan Chen's co-authors include Zhengchao Chen, Bing Zhang, Baipeng Li, Danfeng Hong, Xuan Yang, Kun Tan, Jianwei Ding, Xue Wang, Peijun Du and Xue Wang and has published in prestigious journals such as Journal of Hazardous Materials, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Pan Chen

24 papers receiving 435 citations

Hit Papers

FCCDN: Feature constraint network for VHR image change de... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pan Chen China 10 333 223 125 66 60 25 437
Chao Pang China 9 407 1.2× 291 1.3× 193 1.5× 87 1.3× 73 1.2× 16 594
Weihuan Deng China 4 276 0.8× 161 0.7× 92 0.7× 88 1.3× 54 0.9× 11 383
Meiqi Hu China 10 339 1.0× 197 0.9× 88 0.7× 99 1.5× 59 1.0× 21 452
Zhan Zongqian China 3 410 1.2× 286 1.3× 176 1.4× 92 1.4× 52 0.9× 5 495
Xueli Peng China 6 256 0.8× 183 0.8× 129 1.0× 61 0.9× 37 0.6× 18 342
Lazhar Khelifi Canada 7 235 0.7× 138 0.6× 98 0.8× 116 1.8× 54 0.9× 13 379
Hanhong Zheng China 8 340 1.0× 217 1.0× 95 0.8× 78 1.2× 52 0.9× 13 398
О. В. Выголов Russia 7 399 1.2× 252 1.1× 174 1.4× 144 2.2× 67 1.1× 29 535
Shuli Cheng China 10 432 1.3× 251 1.1× 123 1.0× 171 2.6× 76 1.3× 25 612
Benqin Song China 8 262 0.8× 176 0.8× 85 0.7× 90 1.4× 42 0.7× 11 344

Countries citing papers authored by Pan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Pan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Pan Chen. A scholar is included among the top collaborators of Pan Chen 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 Pan Chen. Pan Chen 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.
Chen, Pan, Xijian Fan, Tardi Tjahjadi, et al.. (2025). Vision Foundation Model Guided Multimodal Fusion Network for Remote Sensing Semantic Segmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 9409–9431. 2 indexed citations
2.
Wu, Shouling, et al.. (2025). Predicting geriatric environmental safety perception assessment using LightGBM and SHAP framework. Scientific Reports. 15(1). 27444–27444. 1 indexed citations
3.
Tan, Kun, et al.. (2025). PatchOut: A novel patch-free approach based on a transformer-CNN hybrid framework for fine-grained land-cover classification on large-scale airborne hyperspectral images. International Journal of Applied Earth Observation and Geoinformation. 138. 104457–104457. 5 indexed citations
4.
Tan, Kun, et al.. (2025). Mapping nutrient pollution in inland water bodies using multi-platform hyperspectral imagery and deep regression network. Journal of Hazardous Materials. 488. 137314–137314. 1 indexed citations
5.
Sun, Luyi, et al.. (2025). Incorporating Physical Constraint in Three-Dimensional Time Series InSAR Inversion for Urban Deformation Monitoring. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 13967–13985.
6.
Tan, Kun, et al.. (2024). Change detection on multi-sensor imagery using mixed interleaved group convolutional network. Engineering Applications of Artificial Intelligence. 133. 108446–108446. 7 indexed citations
7.
Li, Xiang, et al.. (2024). Position-Aware Graph-CNN Fusion Network: An Integrated Approach Combining Geospatial Information and Graph Attention Network for Multiclass Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 22 indexed citations
8.
Chen, Pan, Haibo Li, Lu Wang, et al.. (2024). Data science basis and influencing factors for the evaluation of environmental safety perception in Macau parishes. Advances in Continuous and Discrete Models. 2024(1). 1 indexed citations
9.
Zhuang, Haiyang, et al.. (2024). Seismic performances of the wrapped retaining wall backfilled with polypropylene fiber reinforced rubber-sand mixture. Geotextiles and Geomembranes. 52(4). 542–553. 11 indexed citations
10.
Tan, Kun, et al.. (2024). A semi-analytical approach for estimating inland water inherent optical properties and chlorophyll a using airborne hyperspectral imagery. International Journal of Applied Earth Observation and Geoinformation. 128. 103774–103774. 9 indexed citations
11.
Chen, Pan, et al.. (2023). A Triple-Stream Network With Cross-Stage Feature Fusion for High-Resolution Image Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–17. 31 indexed citations
12.
Shen, Ting, et al.. (2023). A Transformer-Based Neural Network with Improved Pyramid Pooling Module for Change Detection in Ecological Redline Monitoring. Remote Sensing. 15(3). 588–588. 5 indexed citations
13.
Tan, Kun, et al.. (2023). PASSNet: A Spatial–Spectral Feature Extraction Network With Patch Attention Module for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 25 indexed citations
14.
Chen, Zhengchao, Zhaoming Wu, Jixi Gao, et al.. (2022). A Convolutional Neural Network for Large-Scale Greenhouse Extraction from Satellite Images Considering Spatial Features. Remote Sensing. 14(19). 4908–4908. 10 indexed citations
15.
Chen, Pan, Bing Zhang, Danfeng Hong, et al.. (2022). FCCDN: Feature constraint network for VHR image change detection. ISPRS Journal of Photogrammetry and Remote Sensing. 187. 101–119. 153 indexed citations breakdown →
16.
Yang, Xuan, et al.. (2022). A Prior Semantic Network for Large-Scale Landcover Change of Landsat Imagery. Sustainability. 14(20). 13167–13167. 1 indexed citations
17.
Ma, Li, et al.. (2022). AutoMatch. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 16–30. 7 indexed citations
18.
Yang, Xuan, Zhengchao Chen, Bing Zhang, et al.. (2022). A Block Shuffle Network with Superpixel Optimization for Landsat Image Semantic Segmentation. Remote Sensing. 14(6). 1432–1432. 5 indexed citations
19.
Chen, Pan, Cong Li, Bing Zhang, et al.. (2022). A Region-Based Feature Fusion Network for VHR Image Change Detection. Remote Sensing. 14(21). 5577–5577. 12 indexed citations
20.
Yang, Xuan, Zhengchao Chen, Baipeng Li, et al.. (2019). A Fast and Precise Method for Large-Scale Land-Use Mapping Based on Deep Learning. 9 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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