Jiangchuan Fan

1.4k total citations · 1 hit paper
34 papers, 946 citations indexed

About

Jiangchuan Fan is a scholar working on Plant Science, Ecology and Environmental Engineering. According to data from OpenAlex, Jiangchuan Fan has authored 34 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 14 papers in Ecology and 7 papers in Environmental Engineering. Recurrent topics in Jiangchuan Fan's work include Smart Agriculture and AI (17 papers), Remote Sensing in Agriculture (14 papers) and Leaf Properties and Growth Measurement (8 papers). Jiangchuan Fan is often cited by papers focused on Smart Agriculture and AI (17 papers), Remote Sensing in Agriculture (14 papers) and Leaf Properties and Growth Measurement (8 papers). Jiangchuan Fan collaborates with scholars based in China, Ireland and United States. Jiangchuan Fan's co-authors include Xinyu Guo, Weiliang Wen, Shenghao Gu, Xianju Lu, Jianjun Du, Jinglu Wang, Chunjiang Zhao, Chuanyu Wang, Ting Yun and Markus P. Eichhorn and has published in prestigious journals such as Remote Sensing of Environment, Journal of Cleaner Production and Frontiers in Plant Science.

In The Last Decade

Jiangchuan Fan

29 papers receiving 927 citations

Hit Papers

Crop Phenomics: Current S... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiangchuan Fan China 15 593 315 274 90 87 34 946
Marcelo de Carvalho Alves Brazil 18 473 0.8× 247 0.8× 174 0.6× 65 0.7× 25 0.3× 101 1.0k
Jiwan Han China 15 499 0.8× 401 1.3× 231 0.8× 131 1.5× 57 0.7× 41 998
Duke Pauli United States 14 676 1.1× 299 0.9× 170 0.6× 55 0.6× 149 1.7× 36 923
David M. Deery Australia 14 1.0k 1.7× 605 1.9× 330 1.2× 96 1.1× 228 2.6× 22 1.4k
Liang Han China 12 542 0.9× 576 1.8× 362 1.3× 107 1.2× 65 0.7× 17 894
Benoît de Solan France 16 930 1.6× 728 2.3× 341 1.2× 200 2.2× 92 1.1× 30 1.2k
Shangpeng Sun China 15 605 1.0× 383 1.2× 331 1.2× 93 1.0× 35 0.4× 43 916
Anjin Chang United States 23 974 1.6× 967 3.1× 657 2.4× 133 1.5× 127 1.5× 67 1.7k
Fábio Henrique Rojo Baio Brazil 18 823 1.4× 681 2.2× 243 0.9× 241 2.7× 36 0.4× 123 1.4k

Countries citing papers authored by Jiangchuan Fan

Since Specialization
Citations

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

Fields of papers citing papers by Jiangchuan Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangchuan Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangchuan Fan. A scholar is included among the top collaborators of Jiangchuan Fan 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 Jiangchuan Fan. Jiangchuan Fan 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.
Wen, Weiliang, Xianju Lu, Jiangchuan Fan, et al.. (2025). 3D time-series phenotyping of lettuce in greenhouses. Biosystems Engineering. 250. 250–269. 1 indexed citations
2.
Zhao, Yue, Tao Li, Weiliang Wen, et al.. (2025). YOMASK: An instance segmentation method for high-throughput phenotypic platform lettuce images. Computers and Electronics in Agriculture. 230. 109868–109868. 3 indexed citations
3.
Zhao, Shihua, Jiangchuan Fan, Shenghao Gu, et al.. (2025). Exploring phenotypic differences and dynamic associations among lettuce types based on high-throughput phenotyping platform. Computers and Electronics in Agriculture. 236. 110454–110454.
4.
Wen, Weiliang, Shenghao Gu, Jiangchuan Fan, et al.. (2024). Canopy height uniformity: a new 3D phenotypic indicator linking individual plant to canopy. Computers and Electronics in Agriculture. 227. 109491–109491. 4 indexed citations
5.
Du, Jianjun, et al.. (2024). Detection and Identification of Tassel States at Different Maize Tasseling Stages Using UAV Imagery and Deep Learning. Plant Phenomics. 6. 188–188. 4 indexed citations
6.
Wen, Weiliang, Minggang Zhang, Jiangchuan Fan, et al.. (2024). Three-Dimensional Time-Series Monitoring of Maize Canopy Structure Using Rail-Driven Plant Phenotyping Platform in Field. Agriculture. 15(1). 6–6.
7.
Yu, S.K., Jiangchuan Fan, Xianju Lu, et al.. (2023). Deep learning models based on hyperspectral data and time-series phenotypes for predicting quality attributes in lettuces under water stress. Computers and Electronics in Agriculture. 211. 108034–108034. 27 indexed citations
9.
Fan, Jiangchuan, Xinyu Guo, Weiliang Wen, et al.. (2023). An improved YOLOv5 method for clam seedlings biological feature detection under the microscope. Computers and Electronics in Agriculture. 214. 108352–108352. 3 indexed citations
10.
Fan, Jiangchuan, et al.. (2023). Research advance in phenotype detection robots for agriculture and forestry. International journal of agricultural and biological engineering. 16(1). 14–25. 6 indexed citations
11.
Jin, Shichao, Feng An, Huaiqing Zhang, et al.. (2022). Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics. Plant Phenomics. 2022. 9856739–9856739. 38 indexed citations
12.
Yu, S.K., Jiangchuan Fan, Xianju Lu, et al.. (2022). Hyperspectral Technique Combined With Deep Learning Algorithm for Prediction of Phenotyping Traits in Lettuce. Frontiers in Plant Science. 13. 927832–927832. 15 indexed citations
13.
Du, Jianjun, Xianju Lu, Jiangchuan Fan, et al.. (2020). Image-Based High-Throughput Detection and Phenotype Evaluation Method for Multiple Lettuce Varieties. Frontiers in Plant Science. 11. 563386–563386. 35 indexed citations
14.
Wu, Sheng, Weiliang Wen, Yongjian Wang, et al.. (2020). MVS-Pheno: A Portable and Low-Cost Phenotyping Platform for Maize Shoots Using Multiview Stereo 3D Reconstruction. Plant Phenomics. 2020. 1848437–1848437. 88 indexed citations
15.
Huang, Zhixian, Xiao Huang, Jiangchuan Fan, et al.. (2020). Retrieval of Aerodynamic Parameters in Rubber Tree Forests Based on the Computer Simulation Technique and Terrestrial Laser Scanning Data. Remote Sensing. 12(8). 1318–1318. 14 indexed citations
16.
Fan, Jiangchuan, Xianju Lu, Shenghao Gu, & Xinyu Guo. (2020). Improving nutrient and water use efficiencies using water-drip irrigation and fertilization technology in Northeast China. Agricultural Water Management. 241. 106352–106352. 86 indexed citations
17.
Fan, Jiangchuan, et al.. (2020). Dynamic simulation water storage of different parts in peach tree under drought stress. Agricultural Water Management. 244. 106537–106537. 2 indexed citations
18.
Orazbayеv, Batyr, et al.. (2019). Sustainable Waste Management Drilling Process in Fuzzy Environment. Sustainability. 11(24). 6995–6995. 14 indexed citations
19.
Zhao, Chunjiang, Jianjun Du, Xinyu Guo, et al.. (2019). Crop Phenomics: Current Status and Perspectives. Frontiers in Plant Science. 10. 714–714. 249 indexed citations breakdown →

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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