Kun Tan

16.5k total citations · 4 hit papers
267 papers, 13.0k citations indexed

About

Kun Tan is a scholar working on Media Technology, Computer Networks and Communications and Atmospheric Science. According to data from OpenAlex, Kun Tan has authored 267 papers receiving a total of 13.0k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Media Technology, 65 papers in Computer Networks and Communications and 64 papers in Atmospheric Science. Recurrent topics in Kun Tan's work include Remote-Sensing Image Classification (73 papers), Remote Sensing and Land Use (60 papers) and Wireless Networks and Protocols (31 papers). Kun Tan is often cited by papers focused on Remote-Sensing Image Classification (73 papers), Remote Sensing and Land Use (60 papers) and Wireless Networks and Protocols (31 papers). Kun Tan collaborates with scholars based in China, United States and Hong Kong. Kun Tan's co-authors include Peijun Du, Shilong Piao, Jingyun Fang, Philippe Ciais, Haitao Wu, Qian Du, Xue Wang, Chuanxiong Guo, Yongguang Zhang and Chunzhen Liu and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Kun Tan

256 papers receiving 12.6k citations

Hit Papers

The impacts of climate ch... 2006 2026 2012 2019 2010 2008 2006 2007 500 1000 1.5k 2.0k 2.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kun Tan 3.6k 3.2k 2.6k 2.5k 2.1k 267 13.0k
Yongguang Zhang 6.2k 1.7× 5.8k 1.8× 1.2k 0.5× 5.1k 2.0× 1.8k 0.8× 220 15.0k
Jianping Wu 5.4k 1.5× 1.1k 0.3× 969 0.4× 1.2k 0.5× 323 0.2× 343 9.4k
Deren Li 2.9k 0.8× 302 0.1× 1.6k 0.6× 1.8k 0.7× 539 0.3× 441 10.5k
Wenzhong Shi 2.4k 0.7× 252 0.1× 2.7k 1.1× 2.2k 0.9× 297 0.1× 535 12.5k
Jin Chen 9.3k 2.6× 287 0.1× 4.2k 1.6× 10.0k 4.0× 471 0.2× 792 24.7k
Jianya Gong 1.3k 0.4× 337 0.1× 1.4k 0.6× 883 0.4× 153 0.1× 334 6.2k
Jonathan Li 1.9k 0.5× 186 0.1× 2.5k 1.0× 2.5k 1.0× 562 0.3× 641 18.4k
Xiaodong Li 1.8k 0.5× 200 0.1× 1.3k 0.5× 2.0k 0.8× 474 0.2× 268 11.5k
Nengcheng Chen 3.0k 0.8× 330 0.1× 1.5k 0.6× 670 0.3× 216 0.1× 306 6.8k
Chenghu Zhou 5.4k 1.5× 156 0.0× 1.9k 0.8× 1.9k 0.7× 269 0.1× 424 12.8k

Countries citing papers authored by Kun Tan

Since Specialization
Citations

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

Fields of papers citing papers by Kun Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Tan. A scholar is included among the top collaborators of Kun Tan 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 Kun Tan. Kun Tan 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.
Wang, Xue, et al.. (2025). MHFu-former: A multispectral and hyperspectral image fusion transformer. International Journal of Applied Earth Observation and Geoinformation. 143. 104843–104843.
2.
Zhou, Yuling, Kun Tan, Xue Wang, & Wen Zhang. (2025). SCAD-Net: A Semi-Supervised Connectivity-Aware Decoupling Network for High-Resolution Remote Sensing Image Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–17. 1 indexed citations
3.
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
4.
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
5.
Tan, Kun, et al.. (2023). Estimation of the distribution patterns of heavy metal in soil from airborne hyperspectral imagery based on spectral absorption characteristics. Journal of Environmental Management. 347. 119196–119196. 18 indexed citations
6.
Zhang, Yuan, et al.. (2023). Marine big data-driven ensemble learning for estimating global phytoplankton group composition over two decades (1997–2020). Remote Sensing of Environment. 294. 113596–113596. 33 indexed citations
7.
Wang, Xue, et al.. (2023). Hyperspectral anomaly detection based on variational background inference and generative adversarial network. Pattern Recognition. 143. 109795–109795. 29 indexed citations
8.
Chen, Yu, Huaizhan Li, Shijin Li, et al.. (2023). Revealing Land Surface Deformation Over the Yineng Backfilling Mining Area, China, by Integrating Distributed Scatterer SAR Interferometry and a Mining Subsidence Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 3611–3634. 25 indexed citations
9.
Peng, Weiyu, Xiaopeng Ma, Kun Tan, et al.. (2023). Evaluation of cross-neutralizing antibodies in children infected with omicron sub-variants. The Lancet Regional Health - Western Pacific. 40. 100939–100939. 3 indexed citations
10.
Luo, Xiaoyuan, et al.. (2020). Analysis on the hydrodynamic performance and strength check of a rim-driven thruster based on fluid structure interaction. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Tan, Kun, Xue Wang, Feng Wang, et al.. (2020). Vicarious Calibration for the AHSI Instrument of Gaofen-5 With Reference to the CRCS Dunhuang Test Site. IEEE Transactions on Geoscience and Remote Sensing. 59(4). 3409–3419. 26 indexed citations
13.
Tan, Kun, Yun Wang, Jian Zhang, Yangyang Zhang, & Junjie Li. (2018). Optimum Design of Injection Ring for Micro-turbojet Engine. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Cui, Yong, Yimin Jiang, Zeqi Lai, et al.. (2018). Wireless Network Instabilities in the Wild: Measurement, Applications (Non)Resilience, and OS Remedy. IEEE/ACM Transactions on Networking. 27(1). 214–230. 1 indexed citations
15.
Tan, Kun, et al.. (2016). A Novel Tri-Training Technique for Semi-Supervised Classification of Hyperspectral Images Based on Diversity Measurement. Remote Sensing. 8(9). 749–749. 18 indexed citations
16.
He, Peng, David S. Melville, He‐Bo Peng, et al.. (2016). Aquaculture pond banks as high-tide roosts : What physical characteristics are more attractive to shorebirds?. Data Archiving and Networked Services (DANS). 2016. 62–65. 10 indexed citations
17.
Du, Peijun, et al.. (2015). Fractional vegetation cover estimation in northern China and its change analysis. Guotu ziyuan yaogan. 27(2). 112–117. 4 indexed citations
18.
Tan, Kun, et al.. (2014). Detection of Isoflavones Content in Soybean Based on Hyperspectral Imaging Technology. SHILAP Revista de lepidopterología. 2 indexed citations
19.
Liu, Pei, Peijun Du, & Kun Tan. (2014). A novel remotely sensed image classification based on ensemble learning and feature integration. 33(3). 311–317. 6 indexed citations
20.
Tan, Kun. (2011). Job Burnout and Its Influential Factors among Doctors and Nurses of Sichuan Province. Huaxi yixue. 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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