Zhuokun Pan

826 total citations
12 papers, 651 citations indexed

About

Zhuokun Pan is a scholar working on Atmospheric Science, Ecology and Global and Planetary Change. According to data from OpenAlex, Zhuokun Pan has authored 12 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atmospheric Science, 6 papers in Ecology and 6 papers in Global and Planetary Change. Recurrent topics in Zhuokun Pan's work include Remote Sensing and Land Use (11 papers), Remote Sensing in Agriculture (6 papers) and Remote-Sensing Image Classification (5 papers). Zhuokun Pan is often cited by papers focused on Remote Sensing and Land Use (11 papers), Remote Sensing in Agriculture (6 papers) and Remote-Sensing Image Classification (5 papers). Zhuokun Pan collaborates with scholars based in China, United States and United Kingdom. Zhuokun Pan's co-authors include Jingfeng Huang, Yueming Hu, Guangxing Wang, Jiashu Xu, Hanqin Tian, Xiuzhen Wang, Xinxing Li, Qingbo Zhou, Jing Yan and George Alan Blackburn and has published in prestigious journals such as PLoS ONE, Remote Sensing and International Journal of Applied Earth Observation and Geoinformation.

In The Last Decade

Zhuokun Pan

12 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhuokun Pan China 8 345 253 195 155 153 12 651
Chunhua Liao Canada 16 557 1.6× 264 1.0× 365 1.9× 179 1.2× 214 1.4× 34 910
Jingfeng Huang China 9 470 1.4× 186 0.7× 210 1.1× 174 1.1× 291 1.9× 18 833
Claire Marais Sicre France 7 445 1.3× 209 0.8× 183 0.9× 88 0.6× 201 1.3× 8 618
Benjamin Tardy France 6 487 1.4× 272 1.1× 225 1.2× 182 1.2× 127 0.8× 7 724
Thales Sehn Körting Brazil 13 359 1.0× 342 1.4× 161 0.8× 110 0.7× 69 0.5× 84 707
Andrea Ehammer Denmark 11 512 1.5× 448 1.8× 339 1.7× 188 1.2× 91 0.6× 13 957
Mario Lillo‐Saavedra Chile 18 244 0.7× 362 1.4× 194 1.0× 218 1.4× 97 0.6× 52 913
Alber Sánchez Brazil 13 562 1.6× 400 1.6× 327 1.7× 144 0.9× 94 0.6× 30 945
Mryka Hall‐Beyer Canada 9 443 1.3× 300 1.2× 194 1.0× 150 1.0× 56 0.4× 15 744
Xavier Blaes Belgium 11 518 1.5× 436 1.7× 434 2.2× 309 2.0× 192 1.3× 22 1.1k

Countries citing papers authored by Zhuokun Pan

Since Specialization
Citations

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

Fields of papers citing papers by Zhuokun Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuokun Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhuokun Pan. A scholar is included among the top collaborators of Zhuokun Pan 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 Zhuokun Pan. Zhuokun Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Pan, Zhuokun, et al.. (2020). Deep Learning Segmentation and Classification for Urban Village Using a Worldview Satellite Image Based on U-Net. Remote Sensing. 12(10). 1574–1574. 157 indexed citations
2.
Pan, Zhuokun, Yueming Hu, & Guangxing Wang. (2019). Detection of short-term urban land use changes by combining SAR time series images and spectral angle mapping. Frontiers of Earth Science. 13(3). 495–509. 15 indexed citations
3.
Pan, Zhuokun, et al.. (2019). Characterizing urban redevelopment process by quantifying thermal dynamic and landscape analysis. Habitat International. 86. 61–70. 32 indexed citations
4.
Zhao, Long, et al.. (2017). Land Cover Information Extraction Based on Daily NDVI Time Series and Multiclassifier Combination. Mathematical Problems in Engineering. 2017(1). 15 indexed citations
7.
Song, Yingqiang, et al.. (2017). Monitoring of Inefficient Land Use with High Resolution Remote Sensing Image in a Chinese Mega-City. 40. 242–249. 2 indexed citations
8.
Huang, Jingfeng, et al.. (2015). Risk Assessment of Cold Damage to Maize Based on GIS and a Statistical Model. The Open Biotechnology Journal. 9(1). 236–242. 1 indexed citations
9.
Pan, Zhuokun, Jingfeng Huang, Qingbo Zhou, et al.. (2014). Mapping crop phenology using NDVI time-series derived from HJ-1 A/B data. International Journal of Applied Earth Observation and Geoinformation. 34. 188–197. 218 indexed citations
10.
Huang, Jingfeng, Xiuzhen Wang, Xinxing Li, Hanqin Tian, & Zhuokun Pan. (2013). Remotely Sensed Rice Yield Prediction Using Multi-Temporal NDVI Data Derived from NOAA's-AVHRR. PLoS ONE. 8(8). e70816–e70816. 130 indexed citations
11.
Pan, Zhuokun, Jingfeng Huang, & Fumin Wang. (2013). Multi range spectral feature fitting for hyperspectral imagery in extracting oilseed rape planting area. International Journal of Applied Earth Observation and Geoinformation. 25. 21–29. 48 indexed citations
12.
Pan, Zhuokun, et al.. (2010). Feature extraction for urban vegetation stress identification using hyperspectral remote sensing. 5425. 250–254. 6 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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