Kun Zhou

582 total citations
25 papers, 411 citations indexed

About

Kun Zhou is a scholar working on Mechanical Engineering, Plant Science and Civil and Structural Engineering. According to data from OpenAlex, Kun Zhou has authored 25 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Mechanical Engineering, 11 papers in Plant Science and 7 papers in Civil and Structural Engineering. Recurrent topics in Kun Zhou's work include Smart Agriculture and AI (9 papers), Agricultural Engineering and Mechanization (8 papers) and Soil Mechanics and Vehicle Dynamics (6 papers). Kun Zhou is often cited by papers focused on Smart Agriculture and AI (9 papers), Agricultural Engineering and Mechanization (8 papers) and Soil Mechanics and Vehicle Dynamics (6 papers). Kun Zhou collaborates with scholars based in China, Denmark and Greece. Kun Zhou's co-authors include Claus Aage Grøn Sørensen, Patrizia Busato, Dionysis Bochtis, Allan Leck Jensen, Remigio Berruto, Hans W. Griepentrog, Stavros Vougioukas, Caicong Wu, Xiaoqiang Zhang and Efthymios Rodias and has published in prestigious journals such as Sustainability, Materials Science and Engineering R Reports and Computers and Electronics in Agriculture.

In The Last Decade

Kun Zhou

23 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Zhou China 11 166 128 127 107 53 25 411
Rakiba Rayhana Canada 14 188 1.1× 70 0.5× 105 0.8× 85 0.8× 58 1.1× 41 694
Jianneng Chen China 13 372 2.2× 82 0.6× 121 1.0× 167 1.6× 103 1.9× 88 762
Allan Leck Jensen Denmark 10 130 0.8× 56 0.4× 71 0.6× 59 0.6× 29 0.5× 19 365
Mohamad Shukri Zainal Abidin Malaysia 14 343 2.1× 122 1.0× 48 0.4× 54 0.5× 78 1.5× 44 662
Luis Emmi Spain 16 581 3.5× 99 0.8× 102 0.8× 154 1.4× 33 0.6× 32 927
Michio Kise United States 12 294 1.8× 88 0.7× 89 0.7× 67 0.6× 21 0.4× 37 461
Jesús Conesa-Muñoz Spain 9 133 0.8× 70 0.5× 59 0.5× 64 0.6× 49 0.9× 14 280
Yuefeng Du China 12 170 1.0× 31 0.2× 148 1.2× 192 1.8× 21 0.4× 28 393

Countries citing papers authored by Kun Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Kun Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Zhou. A scholar is included among the top collaborators of Kun 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 Kun Zhou. Kun Zhou 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.
Zhang, Shuaizhong, Miao Peng, Zichao Tang, et al.. (2025). Emerging soft medical robots for clinical translations from diagnosis through therapy to rehabilitation. Materials Science and Engineering R Reports. 165. 100990–100990. 3 indexed citations
2.
Ren, Zhong, et al.. (2025). Appearance as reliable evidence: Reconciling appearance and generative priors for monocular motion estimation. Computers & Graphics. 132. 104404–104404.
3.
Yao, Yao, Kun Zhou, Chenxi Liu, et al.. (2024). Temporal-VCA: Simulating urban land use change using coupled temporal data and vector cellular automata. Cities. 149. 104975–104975. 8 indexed citations
4.
Zhou, Kun, et al.. (2023). Discovering spatiotemporal characteristics of the trans-regional harvesting operation using big data of GNSS trajectories in China. Computers and Electronics in Agriculture. 211. 108003–108003. 13 indexed citations
5.
Zhao, Xin, et al.. (2023). Digital twins in smart farming: An autoware-based simulator for autonomous agricultural vehicles. International journal of agricultural and biological engineering. 16(4). 184–189. 8 indexed citations
6.
Sun, Ruizhi, et al.. (2023). Lidar-Based 3D Obstacle Detection Using Focal Voxel R-CNN for Farmland Environment. Agronomy. 13(3). 650–650. 20 indexed citations
7.
Li, Guangyuan, et al.. (2023). Field–Road Operation Classification of Agricultural Machine GNSS Trajectories Using Spatio-Temporal Neural Network. Agronomy. 13(5). 1415–1415. 5 indexed citations
8.
Chen, Ying, Quan Lei, Xiaoqiang Zhang, Kun Zhou, & Caicong Wu. (2023). Field-road classification for GNSS recordings of agricultural machinery using pixel-level visual features. Computers and Electronics in Agriculture. 210. 107937–107937. 12 indexed citations
9.
Li, Zhen, et al.. (2022). Genomic analysis of a novel Aeromonas veronii phage pAEv1810, belonging to the genus Petsuvirus. Archives of Microbiology. 204(6). 304–304. 3 indexed citations
10.
Zhou, Kun, et al.. (2022). Environment scenario identification based on GNSS recordings for agricultural tractors. Computers and Electronics in Agriculture. 195. 106829–106829. 11 indexed citations
11.
Chen, Ying, et al.. (2022). Identifying field and road modes of agricultural Machinery based on GNSS Recordings: A graph convolutional neural network approach. Computers and Electronics in Agriculture. 198. 107082–107082. 30 indexed citations
12.
Zhou, Kun, Dionysis Bochtis, Allan Leck Jensen, Dimitrios Katerıs, & Claus Aage Grøn Sørensen. (2020). Introduction of a New Index of Field Operations Efficiency. Applied Sciences. 10(1). 329–329. 5 indexed citations
13.
Zhou, Kun, et al.. (2020). Route Planning for Agricultural Machines with Multiple Depots: Manure Application Case Study. Agronomy. 10(10). 1608–1608. 15 indexed citations
14.
Zhou, Kun, et al.. (2020). Motion Planning Method for Quadruped Robots Walking on Unknown Rough Terrain. Journal of Mechanical Engineering. 56(2). 210–210. 2 indexed citations
15.
Zhou, Kun, et al.. (2020). Method and bench-marking framework for coverage path planning in arable farming. Biosystems Engineering. 198. 248–265. 36 indexed citations
16.
Zhou, Kun, et al.. (2020). Design of Cable Trench Inspection Robot System Based on Improved D*Lite Algorithm. DEStech Transactions on Engineering and Technology Research. 2 indexed citations
17.
Zhou, Kun, et al.. (2020). Decision Support Tool for Operational Planning of Field Operations. Agronomy. 10(2). 229–229. 10 indexed citations
18.
Zhou, Kun & Dionysis Bochtis. (2015). Route Planning For Capacitated Agricultural Machines Based On Ant Colony Algorithms.. 163–173. 3 indexed citations
19.
Zhou, Kun, Allan Leck Jensen, Dionysis Bochtis, & Claus Aage Grøn Sørensen. (2015). Performance of machinery in potato production in one growing season. Spanish Journal of Agricultural Research. 13(4). e0215–e0215. 6 indexed citations
20.
Zhou, Kun, et al.. (2014). Agricultural operations planning in fields with multiple obstacle areas. Computers and Electronics in Agriculture. 109. 12–22. 72 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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