Kaimin Sun

1.2k total citations · 1 hit paper
64 papers, 813 citations indexed

About

Kaimin Sun is a scholar working on Media Technology, Atmospheric Science and Ecology. According to data from OpenAlex, Kaimin Sun has authored 64 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Media Technology, 25 papers in Atmospheric Science and 23 papers in Ecology. Recurrent topics in Kaimin Sun's work include Remote-Sensing Image Classification (32 papers), Remote Sensing in Agriculture (23 papers) and Remote Sensing and Land Use (20 papers). Kaimin Sun is often cited by papers focused on Remote-Sensing Image Classification (32 papers), Remote Sensing in Agriculture (23 papers) and Remote Sensing and Land Use (20 papers). Kaimin Sun collaborates with scholars based in China, United States and Sweden. Kaimin Sun's co-authors include Ting Bai, Deren Li, Yepei Chen, Wenzhuo Li, Haigang Sui, Hongya Zhang, Wenzhuo Li, Wenzhuo Li, Dameng Yin and Le Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Sensors.

In The Last Decade

Kaimin Sun

54 papers receiving 786 citations

Hit Papers

Deep learning for change detection in remote sensing: a r... 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
Kaimin Sun China 16 458 275 253 209 154 64 813
Youkyung Han South Korea 16 456 1.0× 262 1.0× 199 0.8× 236 1.1× 114 0.7× 93 856
Shanxiong Chen China 13 460 1.0× 281 1.0× 197 0.8× 120 0.6× 188 1.2× 28 882
Xu Huang China 15 399 0.9× 264 1.0× 182 0.7× 224 1.1× 166 1.1× 47 826
Nathan Longbotham United States 8 455 1.0× 242 0.9× 195 0.8× 151 0.7× 104 0.7× 20 637
Roel Heremans Belgium 9 565 1.2× 291 1.1× 140 0.6× 160 0.8× 164 1.1× 17 808
Da He China 16 493 1.1× 258 0.9× 240 0.9× 232 1.1× 99 0.6× 38 808
Emmanuel Christophe France 10 484 1.1× 196 0.7× 158 0.6× 317 1.5× 126 0.8× 21 824
Lianzhi Huo China 15 545 1.2× 273 1.0× 234 0.9× 383 1.8× 185 1.2× 49 935
Mustafa TÜRKER Türkiye 13 428 0.9× 303 1.1× 275 1.1× 95 0.5× 263 1.7× 40 791
Lionel Bombrun France 15 289 0.6× 257 0.9× 173 0.7× 175 0.8× 209 1.4× 44 988

Countries citing papers authored by Kaimin Sun

Since Specialization
Citations

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

Fields of papers citing papers by Kaimin Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaimin Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Kaimin Sun. A scholar is included among the top collaborators of Kaimin Sun 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 Kaimin Sun. Kaimin Sun 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
2.
Sun, Kaimin, Xiuqing Hu, Yepei Chen, et al.. (2025). On-Orbit Radiometric Performance Assessment of FY-3F MERSI-III: A Cross-Platform Intercomparison Approach Based on Global Pseudo-Invariant Pixels. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 21514–21531.
3.
Sun, Kaimin, et al.. (2025). Cross-Visual Style Change Detection for Remote Sensing Images via Representation Consistency Deep Supervised Learning. Remote Sensing. 17(5). 798–798. 1 indexed citations
4.
Sun, Kaimin, et al.. (2025). Adapting Cross-Sensor High-Resolution Remote Sensing Imagery for Land Use Classification. Remote Sensing. 17(5). 927–927. 1 indexed citations
5.
Gao, Song, et al.. (2025). Change-prior guided cross-scale interaction network for remote sensing image change detection. Geo-spatial Information Science. 1–20.
7.
Chen, Xuhui, et al.. (2024). Global Semantic-Sense Aggregation Network for Salient Object Detection in Remote Sensing Images. Entropy. 26(6). 445–445. 2 indexed citations
8.
Sun, Kaimin, et al.. (2024). Estimation of Leaf Area Index across Biomes and Growth Stages Combining Multiple Vegetation Indices. Sensors. 24(18). 6106–6106. 2 indexed citations
9.
Sun, Kaimin, et al.. (2024). STFNet: A Spatiotemporal Fusion Network for Forest Change Detection Using Multi-Source Satellite Images. Remote Sensing. 16(24). 4736–4736. 2 indexed citations
10.
Sun, Kaimin, et al.. (2024). Robust change detection for remote sensing images based on temporospatial interactive attention module. International Journal of Applied Earth Observation and Geoinformation. 128. 103767–103767. 14 indexed citations
11.
Gao, Song, et al.. (2024). A building change detection framework with patch-pairing single-temporal supervised learning and metric guided attention mechanism. International Journal of Applied Earth Observation and Geoinformation. 129. 103785–103785. 9 indexed citations
12.
Sun, Kaimin, Xiao Huang, Yepei Chen, et al.. (2024). Assisted learning for land use classification: The important role of semantic correlation between heterogeneous images. ISPRS Journal of Photogrammetry and Remote Sensing. 208. 158–175. 5 indexed citations
13.
Sun, Kaimin, et al.. (2023). Aligning semantic distribution in fusing optical and SAR images for land use classification. ISPRS Journal of Photogrammetry and Remote Sensing. 199. 272–288. 26 indexed citations
14.
Bai, Ting, et al.. (2023). Research and application of urban renewal unit recognition method based on AI and remote sensing. 自然资源学报. 38(6). 1517–1517. 1 indexed citations
15.
Qin, Xingli, Lingli Zhao, Jie Yang, et al.. (2022). Active Pairwise Constraint Learning in Constrained Time-Series Clustering for Crop Mapping from Airborne SAR Imagery. Remote Sensing. 14(23). 6073–6073. 3 indexed citations
16.
Bai, Ting, Le Wang, Dameng Yin, et al.. (2022). Deep learning for change detection in remote sensing: a review. Geo-spatial Information Science. 26(3). 262–288. 157 indexed citations breakdown →
17.
Feng, Wenqing, Haigang Sui, Jihui Tu, Kaimin Sun, & Weiming Huang. (2017). Change Detection Method for High Resolution Remote Sensing Images Using Random Forest. SHILAP Revista de lepidopterología. 5 indexed citations
18.
Bai, Ting, Deren Li, Kaimin Sun, Yepei Chen, & Wenzhuo Li. (2016). Cloud Detection for High-Resolution Satellite Imagery Using Machine Learning and Multi-Feature Fusion. Remote Sensing. 8(9). 715–715. 92 indexed citations
19.
Sun, Kaimin, et al.. (2009). Design and implementation of visual and multilevel remote sensing image processing workflow customization system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7497. 74970C–74970C. 1 indexed citations
20.
Sun, Kaimin, Yan Chen, & Deren Li. (2006). Multiscale image segmentation and its application in image information extraction. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6419. 64191I–64191I. 1 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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