Wenbin Wu

10.4k total citations · 3 hit papers
224 papers, 7.4k citations indexed

About

Wenbin Wu is a scholar working on Ecology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Wenbin Wu has authored 224 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Ecology, 104 papers in Global and Planetary Change and 67 papers in Atmospheric Science. Recurrent topics in Wenbin Wu's work include Remote Sensing in Agriculture (101 papers), Land Use and Ecosystem Services (81 papers) and Remote Sensing and Land Use (62 papers). Wenbin Wu is often cited by papers focused on Remote Sensing in Agriculture (101 papers), Land Use and Ecosystem Services (81 papers) and Remote Sensing and Land Use (62 papers). Wenbin Wu collaborates with scholars based in China, United States and Japan. Wenbin Wu's co-authors include Huajun Tang, Peng Yang, Qiangyi Yu, Liangzhi You, Qingbo Zhou, Qiong Hu, Zhengguo Li, Jianxi Huang, Miao Lu and Qian Song and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Wenbin Wu

216 papers receiving 7.3k citations

Hit Papers

Improving winter wheat yield estimation by assimilation o... 2015 2026 2018 2022 2015 2020 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenbin Wu China 48 3.5k 3.1k 2.1k 1.5k 1.4k 224 7.4k
Jianxi Huang China 41 3.6k 1.0× 2.6k 0.8× 1.9k 0.9× 800 0.5× 1.5k 1.1× 181 6.1k
Kaiyu Guan United States 56 4.2k 1.2× 5.2k 1.7× 3.0k 1.4× 1.4k 0.9× 2.0k 1.4× 184 10.2k
Huajun Tang China 39 2.1k 0.6× 2.1k 0.7× 1.2k 0.5× 918 0.6× 1.1k 0.7× 215 5.5k
Murali Krishna Gumma India 36 2.8k 0.8× 2.4k 0.8× 960 0.4× 556 0.4× 1.1k 0.8× 98 4.8k
Mutlu Özdoğan United States 39 2.5k 0.7× 2.6k 0.9× 928 0.4× 503 0.3× 1.2k 0.8× 66 4.9k
Prasad S. Thenkabail United States 47 6.1k 1.7× 3.8k 1.2× 2.0k 0.9× 572 0.4× 2.3k 1.6× 125 8.6k
Lalit Kumar Australia 59 5.3k 1.5× 5.0k 1.6× 1.9k 0.9× 1.7k 1.1× 2.9k 2.0× 299 13.7k
Louis R. Iverson United States 46 3.7k 1.1× 4.8k 1.6× 895 0.4× 893 0.6× 1.2k 0.8× 148 9.9k
Liangzhi You United States 43 2.0k 0.6× 2.4k 0.8× 1.6k 0.8× 1.7k 1.2× 861 0.6× 167 7.5k
Grégory Duveiller Italy 36 2.8k 0.8× 3.3k 1.1× 1.2k 0.6× 484 0.3× 1.7k 1.2× 97 5.9k

Countries citing papers authored by Wenbin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wenbin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenbin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Wenbin Wu. A scholar is included among the top collaborators of Wenbin Wu 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 Wenbin Wu. Wenbin Wu 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.
Wu, Wenbin, et al.. (2025). An unsupervised anatomy-aware dual-constraint cascade network for lung computed tomography deformable image registration. Engineering Applications of Artificial Intelligence. 158. 111548–111548.
2.
Lu, Miao, et al.. (2025). Customized crop feature construction using genetic programming for early- and in-season crop mapping. Computers and Electronics in Agriculture. 231. 109949–109949.
3.
Lu, Miao, Qiangyi Yu, Wenjuan Li, et al.. (2024). The normalized difference yellow vegetation index (NDYVI): A new index for crop identification by using GaoFen-6 WFV data. Computers and Electronics in Agriculture. 226. 109417–109417. 6 indexed citations
4.
Xia, Lang, Jing Yang, Xiao Sun, et al.. (2024). A temporal-spatial deep learning network for winter wheat mapping using time-series Sentinel-2 imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 214. 48–64. 9 indexed citations
5.
Cao, Hong, Shangrong Wu, Wenjuan Li, et al.. (2024). A study on parameter calibration of a general crop growth model considering non-foliar green organs. Computers and Electronics in Agriculture. 226. 109362–109362. 3 indexed citations
6.
Sun, Jing, Lun Yang, Fei Lun, et al.. (2024). Workable solutions for sustainably feeding the Chinese population. Resources Conservation and Recycling. 205. 107530–107530. 6 indexed citations
7.
Cai, Zhiwen, Baodong Xu, Qiangyi Yu, et al.. (2024). A cost-effective and robust mapping method for diverse crop types using weakly supervised semantic segmentation with sparse point samples. ISPRS Journal of Photogrammetry and Remote Sensing. 218. 260–276. 8 indexed citations
8.
Song, Jianjian, Jianxi Huang, Hai Huang, et al.. (2024). Improving crop yield estimation by unified model parameters and state variable with Bayesian inference. Agricultural and Forest Meteorology. 355. 110101–110101. 11 indexed citations
9.
Wu, Wenbin, Jing‐Jing Yang, Meng Zhang, et al.. (2024). ART altered DNA methylation of the imprinted gene H19 in fetal tissue after multifetal pregnancy reduction. Journal of Assisted Reproduction and Genetics. 41(11). 3039–3049.
10.
Sun, Jing, et al.. (2024). Mapping the Spatiotemporal Dynamics of Cropland Abandonment and Recultivation across the Yangtze River Basin. Remote Sensing. 16(6). 1052–1052. 12 indexed citations
11.
Yang, Jingya, Qiong Hu, Wenjuan Li, et al.. (2024). An automated sample generation method by integrating phenology domain optical-SAR features in rice cropping pattern mapping. Remote Sensing of Environment. 314. 114387–114387. 10 indexed citations
12.
Yu, Xun, Dameng Yin, Urs Schmidhalter, et al.. (2024). Maize tassel number and tasseling stage monitoring based on near-ground and UAV RGB images by improved YoloV8. Precision Agriculture. 25(4). 1800–1838. 15 indexed citations
13.
Liu, Xiangyang, Zhao-Liang Li, Yitao Li, et al.. (2023). Local temperature responses to actual land cover changes present significant latitudinal variability and asymmetry. Science Bulletin. 68(22). 2849–2861. 40 indexed citations
14.
Hu, Mengmeng, Qiangyi Yu, Huajun Tang, & Wenbin Wu. (2023). A new factorial sensitivity model for analyzing the impacts of climatic factors on crop water footprint. Journal of Cleaner Production. 434. 140194–140194. 2 indexed citations
15.
Shao, Mingchao, Chenwei Nie, Aijun Zhang, et al.. (2023). Quantifying effect of maize tassels on LAI estimation based on multispectral imagery and machine learning methods. Computers and Electronics in Agriculture. 211. 108029–108029. 16 indexed citations
16.
Xia, Tian, Wenwen Ji, Weidong Li, Chuanrong Zhang, & Wenbin Wu. (2021). Phenology-based decision tree classification of rice-crayfish fields from Sentinel-2 imagery in Qianjiang, China. International Journal of Remote Sensing. 42(21). 8124–8144. 15 indexed citations
17.
Guo, Anting, Wenjiang Huang, Yingying Dong, et al.. (2021). Wheat Yellow Rust Detection Using UAV-Based Hyperspectral Technology. Remote Sensing. 13(1). 123–123. 133 indexed citations
18.
Guo, Wei, Jian Wang, Haozhou Wang, et al.. (2021). An Efficient Method for Estimating Wheat Heading Dates Using UAV Images. Remote Sensing. 13(16). 3067–3067. 14 indexed citations
19.
Liu, Yuan, Qingbo Zhou, Qiangyi Yu, & Wenbin Wu. (2020). Analysis of spatial pattern and ecological service value changes of large-scale regional paddy fields based on remote sensing data. SHILAP Revista de lepidopterología. 2 indexed citations
20.
Chen, Zhongxin, Jianqiang Ren, Huajun Tang, et al.. (2016). Progress and perspectives on agricultural remote sensing research and applications in China. National Remote Sensing Bulletin. 20(5). 748–767. 44 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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