Yan Zhu

28.5k total citations · 4 hit papers
651 papers, 16.2k citations indexed

About

Yan Zhu is a scholar working on Plant Science, Ecology and Environmental Engineering. According to data from OpenAlex, Yan Zhu has authored 651 papers receiving a total of 16.2k indexed citations (citations by other indexed papers that have themselves been cited), including 296 papers in Plant Science, 250 papers in Ecology and 134 papers in Environmental Engineering. Recurrent topics in Yan Zhu's work include Remote Sensing in Agriculture (232 papers), Leaf Properties and Growth Measurement (120 papers) and Rice Cultivation and Yield Improvement (71 papers). Yan Zhu is often cited by papers focused on Remote Sensing in Agriculture (232 papers), Leaf Properties and Growth Measurement (120 papers) and Rice Cultivation and Yield Improvement (71 papers). Yan Zhu collaborates with scholars based in China, United States and Japan. Yan Zhu's co-authors include Weixing Cao, Yongchao Tian, Xia Yao, Tao Cheng, Xiaojun Liu, Hengbiao Zheng, Qiang Cao, Liang Tang, Syed Tahir Ata-Ul-Karim and Jinzhong Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Yan Zhu

618 papers receiving 15.9k citations

Hit Papers

Developing a Long Short-Term Memory (LSTM) based model fo... 2017 2026 2020 2023 2018 2017 2021 2024 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Zhu China 62 8.9k 8.2k 4.4k 3.0k 2.2k 651 16.2k
Weixing Cao China 77 14.7k 1.6× 8.0k 1.0× 3.3k 0.8× 3.1k 1.0× 2.2k 1.0× 710 20.6k
Guijun Yang China 58 6.2k 0.7× 7.9k 1.0× 4.1k 0.9× 2.3k 0.8× 2.2k 1.0× 442 12.1k
Craig S. T. Daughtry United States 58 4.8k 0.5× 9.0k 1.1× 5.3k 1.2× 4.7k 1.6× 1.3k 0.6× 232 13.0k
Kaiyu Guan United States 56 3.0k 0.3× 4.2k 0.5× 2.0k 0.5× 5.2k 1.7× 477 0.2× 184 10.2k
Pablo J. Zarco‐Tejada Spain 72 9.9k 1.1× 15.3k 1.9× 6.9k 1.6× 7.7k 2.6× 2.4k 1.1× 208 20.7k
J. L. Araus Spain 75 15.0k 1.7× 4.7k 0.6× 1.4k 0.3× 3.3k 1.1× 1.0k 0.5× 362 19.4k
Jerry L. Hatfield United States 68 8.7k 1.0× 5.2k 0.6× 3.3k 0.8× 6.8k 2.3× 387 0.2× 365 21.4k
Mark N. Merzlyak Russia 40 7.5k 0.8× 10.1k 1.2× 3.8k 0.9× 3.2k 1.1× 2.5k 1.2× 77 14.8k
Anatoly A. Gitelson United States 90 14.4k 1.6× 24.4k 3.0× 9.6k 2.2× 10.8k 3.6× 4.4k 2.0× 203 35.2k
Frédéric Baret France 75 11.1k 1.2× 21.9k 2.7× 12.6k 2.9× 11.5k 3.8× 2.2k 1.0× 262 27.5k

Countries citing papers authored by Yan Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Zhu. A scholar is included among the top collaborators of Yan Zhu 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 Yan Zhu. Yan Zhu 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.
Xu, Ke, Qi Xie, Yan Zhu, Weixing Cao, & Jun Ni. (2025). Effective Multi-Species weed detection in complex wheat fields using Multi-Modal and Multi-View image fusion. Computers and Electronics in Agriculture. 230. 109924–109924. 5 indexed citations
2.
Zhou, Dong, Bin Ding, Peng Xia, et al.. (2025). Design and implementation of a high-throughput field phenotyping robot for acquiring multisensor data in wheat. Plant Phenomics. 7(2). 100014–100014. 3 indexed citations
3.
Sun, Haoran, Weiguo Yu, Hengbiao Zheng, et al.. (2025). SIDEST: A sample-free framework for crop field boundary delineation by integrating super-resolution image reconstruction and dual edge-corrected Segment Anything model. Computers and Electronics in Agriculture. 230. 109897–109897. 7 indexed citations
4.
Li, Dong, Yapeng Wu, Katja Berger, et al.. (2024). Estimating canopy nitrogen content by coupling PROSAIL-PRO with a nitrogen allocation model. International Journal of Applied Earth Observation and Geoinformation. 135. 104280–104280. 5 indexed citations
6.
Cammarano, Davide, Syed Tahir Ata-Ul-Karim, Xiaojun Liu, et al.. (2024). Investigating data-driven approaches to optimize nitrogen recommendations for winter wheat. Computers and Electronics in Agriculture. 220. 108857–108857. 5 indexed citations
7.
Xiao, Liujun, Xia Yao, Tao Cheng, et al.. (2024). Spatio-temporal change of winter wheat yield and its quantitative responses to compound frost-dry events – An example of the Huang-Huai-Hai Plain of China from 2001 to 2020. The Science of The Total Environment. 940. 173531–173531. 13 indexed citations
8.
Zhao, Ben, Syed Tahir Ata-Ul-Karim, G. Lemaire, et al.. (2024). Can the allometric relationship between saturated water accumulation and dry mass be used to diagnose the water status of winter wheat?. Field Crops Research. 315. 109474–109474. 2 indexed citations
9.
Li, Shuang, et al.. (2024). A 3D SPH framework for simulating landslide dam breaches by coupling erosion and side slope failure. Computers and Geotechnics. 175. 106699–106699. 8 indexed citations
10.
Zhang, Qi, et al.. (2024). Coupling coordination evaluation of ecology and economy and development optimization at town-scale. Journal of Cleaner Production. 447. 141581–141581. 8 indexed citations
11.
Wu, Yapeng, Weiguo Yu, Qi Zhang, et al.. (2024). Accurate estimation of grain number per panicle in winter wheat by synergistic use of UAV imagery and meteorological data. International Journal of Applied Earth Observation and Geoinformation. 136. 104320–104320. 1 indexed citations
12.
Li, Wei, Shouyang Liu, Frédéric Baret, et al.. (2023). RSARE: A physically-based vegetation index for estimating wheat green LAI to mitigate the impact of leaf chlorophyll content and residue-soil background. ISPRS Journal of Photogrammetry and Remote Sensing. 200. 138–152. 31 indexed citations
13.
He, Hang, Fen Wang, Yan Zhu, et al.. (2023). Effect of yeast peptide dietary supplementation on nutrient digestibility, growth performance, and blood metabolites in geese. South African Journal of Animal Science. 52(5). 667–673. 2 indexed citations
14.
Liu, Shengli, et al.. (2023). Grassland vegetation decline is exacerbated by drought and can be mitigated by soil improvement in Inner Mongolia, China. The Science of The Total Environment. 908. 168464–168464. 12 indexed citations
15.
Ni, Xiaolin, et al.. (2023). Modifiable pathways for longevity: A Mendelian randomization analysis. Clinical Nutrition. 42(6). 1041–1047. 6 indexed citations
16.
Yu, Weiguo, Dong Li, Hengbiao Zheng, et al.. (2023). Improved prediction of rice yield at field and county levels by synergistic use of SAR, optical and meteorological data. Agricultural and Forest Meteorology. 342. 109729–109729. 24 indexed citations
17.
He, Ping, Hengbiao Zheng, Xia Yao, et al.. (2023). Estimating wheat grain yield by assimilating phenology and LAI with the WheatGrow model based on theoretical uncertainty of remotely sensed observation. Agricultural and Forest Meteorology. 339. 109574–109574. 17 indexed citations
18.
Liu, Peng, Yongqing Wang, Hengbiao Zheng, et al.. (2023). Comparison of two novel methods for counting wheat ears in the field with terrestrial LiDAR. Plant Methods. 19(1). 134–134. 3 indexed citations
19.
Xu, Yuhao, Yan Zhu, Yuanyuan Zhu, et al.. (2019). Abnormalities in FGF family members and their roles in modulating depression‐related molecules. European Journal of Neuroscience. 53(1). 140–150. 11 indexed citations
20.
Zhu, Yan, Yuanyuan Zha, Juxiu Tong, & Jinzhong Yang. (2011). Method of coupling 1-D unsaturated flow with 3-D saturated flow on large scale. SHILAP Revista de lepidopterología. 14 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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