Kai Zhou

42 total papers · 919 total citations
29 papers, 700 citations indexed

About

Kai Zhou is a scholar working on Ecology, Plant Science and Global and Planetary Change. According to data from OpenAlex, Kai Zhou has authored 29 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Ecology, 16 papers in Plant Science and 11 papers in Global and Planetary Change. Recurrent topics in Kai Zhou's work include Remote Sensing in Agriculture (18 papers), Land Use and Ecosystem Services (8 papers) and Leaf Properties and Growth Measurement (7 papers). Kai Zhou is often cited by papers focused on Remote Sensing in Agriculture (18 papers), Land Use and Ecosystem Services (8 papers) and Leaf Properties and Growth Measurement (7 papers). Kai Zhou collaborates with scholars based in China, United States and Canada. Kai Zhou's co-authors include Yan Zhu, Weixing Cao, Yongchao Tian, Xia Yao, Tao Cheng, Hengbiao Zheng, Dong Li, Susan L. Ustin, Jing M. Chen and Xiao Zhang and has published in prestigious journals such as Remote Sensing of Environment, Sensors and Frontiers in Plant Science.

In The Last Decade

Kai Zhou

28 papers receiving 690 citations

Author Peers

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

Author Last Decade Papers Cites
Kai Zhou 532 394 213 198 179 29 700
Jian Yang 414 0.8× 275 0.7× 250 1.2× 142 0.7× 161 0.9× 33 635
Binbin Guo 485 0.9× 392 1.0× 219 1.0× 319 1.6× 168 0.9× 34 899
Victoria Lenz-Wiedemann 613 1.2× 378 1.0× 407 1.9× 172 0.9× 115 0.6× 19 804
Philippe Vigneault 594 1.1× 440 1.1× 246 1.2× 129 0.7× 157 0.9× 13 744
Scott D. Noble 581 1.1× 467 1.2× 181 0.8× 242 1.2× 138 0.8× 44 878
Yuanheng Sun 413 0.8× 231 0.6× 193 0.9× 204 1.0× 113 0.6× 34 629
Luís Guilherme Teixeira Crusiol 357 0.7× 300 0.8× 176 0.8× 109 0.6× 186 1.0× 46 646
Bastian Siegmann 499 0.9× 324 0.8× 276 1.3× 214 1.1× 86 0.5× 50 747
Qiuxiang Yi 506 1.0× 298 0.8× 145 0.7× 317 1.6× 132 0.7× 26 750
Fabienne Maupas 440 0.8× 373 0.9× 207 1.0× 164 0.8× 98 0.5× 14 628

Countries citing papers authored by Kai Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Kai Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Zhou

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

All Works

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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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