Ji Zhou

4.5k total citations · 1 hit paper
62 papers, 2.1k citations indexed

About

Ji Zhou is a scholar working on Plant Science, Ecology and Molecular Biology. According to data from OpenAlex, Ji Zhou has authored 62 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 13 papers in Ecology and 7 papers in Molecular Biology. Recurrent topics in Ji Zhou's work include Smart Agriculture and AI (14 papers), Remote Sensing in Agriculture (13 papers) and Plant-Microbe Interactions and Immunity (6 papers). Ji Zhou is often cited by papers focused on Smart Agriculture and AI (14 papers), Remote Sensing in Agriculture (13 papers) and Plant-Microbe Interactions and Immunity (6 papers). Ji Zhou collaborates with scholars based in China, United Kingdom and Germany. Ji Zhou's co-authors include Silke Robatzek, Martina Beck, Christine Faulkner, Dan MacLean, Michael Bevan, Cristóbal Uauy, Matthew D. Clark, Ksenia V. Krasileva, Brande B. H. Wulff and Daniel Reynolds and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Ji Zhou

56 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Status, advancements and prospects of deep learning methods applied in forest studies

2024 50 citations Ting Yun, Ji Zhou et al. International Journal of Applied Earth Observation and Geoinformation profile →

Peers

Countries citing papers authored by Ji Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Ji Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Zhou. A scholar is included among the top collaborators of Ji 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 Ji Zhou. Ji 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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20 of 20 papers shown

#	Work	Indexed citations
1	Combining ultralow-altitude drone phenotyping with deep learning analytics to assess resistance and disease dynamics of Fusarium head blight in wheat 2025 ·The Crop Journal ·(unknown), (unknown), Jinlong Huang, (unknown), (unknown), (unknown), Robert Jackson, Xiue Wang, Greg Deakin, Jin Xiao, Ji Zhou	0
2	OrchardQuant ‐ 3D : combining drone and LiDAR to perform scalable 3D phenotyping for characterising key canopy and floral traits in fruit orchards 2025 ·Plant Biotechnology Journal ·Yunpeng Xia, (unknown), Fanhang Zhang, (unknown), Kaijie Qi, Robert Jackson, (unknown), Xiaoman Liu, Yue Mu, Shaoling Zhang, Greg Deakin, (unknown), Shutian Tao, Ji Zhou	1
3	SeedGerm-VIG: an open and comprehensive pipeline to quantify seed vigor in wheat and other cereal crops using deep learning–powered dynamic phenotypic analysis 2025 ·GigaScience ·(unknown), (unknown), (unknown), Jianxiong Huang, (unknown), (unknown), (unknown), Changcai Yang, (unknown), Lingzhen Ye, Xueying Guan, Ji Zhou	1
4	Status, advancements and prospects of deep learning methods applied in forest studies breakdown → 2024 ·International Journal of Applied Earth Observation and Geoinformation ·Ting Yun, (unknown), (unknown), Ji Zhou, Ruisheng Wang, Markus P. Eichhorn, Huaiqing Zhang	50
5	UKCropDiversity‐HPC: A collaborative high‐performance computing resource approach for sustainable agriculture and biodiversity conservation 2024 ·Plants People Planet ·Lawrence Percival‐Alwyn, Ian Barnes, Matthew D. Clark, James Cockram, M.P. Coffey, Susan R. Jones, Paul Kersey, Catherine Kidner, Carolin Kosiol, Bingjie Li, (unknown), Ji Zhou, Mario Cáccamo, Iain Milne	6
6	MGCNet: Multi-granularity consensus network for remote sensing image correspondence pruning 2024 ·ISPRS Journal of Photogrammetry and Remote Sensing ·Fengyuan Zhuang, Yizhang Liu, (unknown), Ji Zhou, Riqing Chen, Lifang Wei, Changcai Yang, (unknown)	0
7	The Use of Low-Cost Drone and Multi-Trait Analysis to Identify High Nitrogen Use Lines for Wheat Improvement 2024 ·Agronomy ·(unknown), Greg Deakin, (unknown), (unknown), (unknown), (unknown), (unknown), Ji Zhou, Robert Jackson	0
8	FS-YOLOv9: A Frequency and Spatial Feature-Based YOLOv9 for Real-time Breast Cancer Detection 2024 ·Academic Radiology ·(unknown), Tao Su, Xinhua Jiang, Li Li, (unknown), Ji Zhou, (unknown)	10
9	Panicle-Cloud: An Open and AI-Powered Cloud Computing Platform for Quantifying Rice Panicles from Drone-Collected Imagery to Enable the Classification of Yield Production in Rice 2023 ·Plant Phenomics ·(unknown), (unknown), (unknown), (unknown), Riqing Chen, Yaohai Lin, (unknown), Robert Jackson, Ji Zhou, Changcai Yang	24
10	The Dissection of Nitrogen Response Traits Using Drone Phenotyping and Dynamic Phenotypic Analysis to Explore N Responsiveness and Associated Genetic Loci in Wheat 2023 ·Plant Phenomics ·(unknown), (unknown), (unknown), Robert Jackson, (unknown), (unknown), Li Sun, (unknown), Jin Xiao, Greg Deakin, Dong Jiang, Xiue Wang, Ji Zhou	11
11	Automatic lithology identification method based on efficient deep convolutional network 2023 ·Earth Science Informatics ·Yan Guo, (unknown), (unknown), Ji Zhou, (unknown), Luyu Zhang, (unknown)	8
12	AirMeasurer: open‐source software to quantify static and dynamic traits derived from multiseason aerial phenotyping to empower genetic mapping studies in rice 2022 ·New Phytologist ·(unknown), Hengyun Lu, Yan Zhao, Jie Zhou, Robert Jackson, (unknown), (unknown), Ahong Wang, (unknown), Eric S. Ober, Qiang Zhao, Bin Han, Ji Zhou	27
13	Large-scale field phenotyping using backpack LiDAR and CropQuant-3D to measure structural variation in wheat 2021 ·PLANT PHYSIOLOGY ·Yulei Zhu, (unknown), (unknown), Jie Zhou, (unknown), Shichao Jin, Qiang Zhao, (unknown), Yanfeng Ding, Eric S. Ober, Ji Zhou	30
14	Maize Root Phenotypic Detection Based on Thermal Imaging and Root Gap Repair Algorithm 2020 ·Guangpuxue yu guangpu fenxi ·(unknown), Han Zhao, (unknown), Ji Zhou, (unknown), Yanfeng Ding	1
15	SeedGerm: a cost‐effective phenotyping platform for automated seed imaging and machine‐learning based phenotypic analysis of crop seed germination 2020 ·New Phytologist ·(unknown), Carmel M. O’Neill, Rachel Wells, Aaron Bostrom, Daniel Reynolds, (unknown), (unknown), (unknown), Qiaojun Lou, (unknown), Joshua Ball, (unknown), (unknown), René Benjamins, Steven Penfield, Ji Zhou	72
16	CropSight: a scalable and open-source information management system for distributed plant phenotyping and IoT-based crop management 2019 ·GigaScience ·Daniel Reynolds, Joshua Ball, (unknown), Robert Davey, Simon Griffiths, Ji Zhou	60
17	Automatic Counting of Wheat Spikes from Wheat Growth Images 2018 ·UEA Digital Repository (University of East Anglia) ·(unknown), Ji Zhou, (unknown)	25
18	The use of quantitative imaging to investigate regulators of membrane trafficking in Arabidopsis stomatal closure 2018 ·Traffic ·Gildas Bourdais, Deirdre H. McLachlan, (unknown), Ji Zhou, (unknown), Heidrun Häweker, Matthew Hartley, Hannah Kuhn, Richard J. Morris, Dan MacLean, Silke Robatzek	20
19	Genomic innovation for crop improvement 2017 ·Nature ·Michael Bevan, Cristóbal Uauy, Brande B. H. Wulff, Ji Zhou, Ksenia V. Krasileva, Matthew D. Clark	252
20	Tomato I2 Immune Receptor Can Be Engineered to Confer Partial Resistance to the Oomycete Phytophthora infestans in Addition to the Fungus Fusarium oxysporum 2015 ·Molecular Plant-Microbe Interactions ·Artemis Giannakopoulou, John F. C. Steele, María Eugenia Segretin, Tolga O. Bozkurt, Ji Zhou, Silke Robatzek, Mark J. Banfield, Marina Pais, Sophien Kamoun	66

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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