Chufeng Wang

557 total citations
28 papers, 401 citations indexed

About

Chufeng Wang is a scholar working on Ecology, Epidemiology and Environmental Engineering. According to data from OpenAlex, Chufeng Wang has authored 28 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, 7 papers in Epidemiology and 7 papers in Environmental Engineering. Recurrent topics in Chufeng Wang's work include Remote Sensing in Agriculture (9 papers), Remote Sensing and LiDAR Applications (7 papers) and Viral Infections and Immunology Research (5 papers). Chufeng Wang is often cited by papers focused on Remote Sensing in Agriculture (9 papers), Remote Sensing and LiDAR Applications (7 papers) and Viral Infections and Immunology Research (5 papers). Chufeng Wang collaborates with scholars based in China, Taiwan and United States. Chufeng Wang's co-authors include Chenghai Yang, Jing Xie, Jian Zhang, Tianjin Xie, Po‐Liang Lu, Min Lü, Guangsheng Zhou, Hui Huang, Joel Lanir and Pei‐Yu Chu and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Scientific Reports.

In The Last Decade

Chufeng Wang

28 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chufeng Wang China 13 137 120 82 75 52 28 401
Yanan Li China 10 129 0.9× 224 1.9× 47 0.6× 10 0.1× 25 0.5× 31 450
Véronique Letort France 14 41 0.3× 410 3.4× 54 0.7× 30 0.4× 12 0.2× 47 701
Chuwen Zhang China 12 265 1.9× 37 0.3× 16 0.2× 18 0.2× 27 0.5× 31 516
Jeroen Staab Germany 9 64 0.5× 38 0.3× 68 0.8× 54 0.7× 55 1.1× 15 436
Le Han China 8 56 0.4× 70 0.6× 38 0.5× 176 2.3× 54 1.0× 15 511
Hongzhi Wang China 10 15 0.1× 31 0.3× 89 1.1× 29 0.4× 136 2.6× 24 454
Sabine Schnabel Netherlands 13 39 0.3× 264 2.2× 13 0.2× 60 0.8× 12 0.2× 30 735
Ruyu Wang China 13 21 0.2× 27 0.2× 71 0.9× 48 0.6× 52 1.0× 30 568
Shuxian Liu China 12 80 0.6× 62 0.5× 9 0.1× 4 0.1× 24 0.5× 33 397

Countries citing papers authored by Chufeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chufeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chufeng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chufeng Wang. A scholar is included among the top collaborators of Chufeng Wang 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 Chufeng Wang. Chufeng Wang 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.
Wang, Chufeng, Jian Zhang, Jie Kuai, et al.. (2025). Unlock genotype-environment-management interaction via field phenotypic insights for multi-scale prediction of winter rapeseed flowering in the Yangtze River Basin. Agricultural and Forest Meteorology. 374. 110788–110788. 1 indexed citations
2.
Wang, Chufeng, Jing Xie, Ni Ma, et al.. (2025). Integrating UAV and satellite LAI data into a modified DSSAT-rapeseed model to improve yield predictions. Field Crops Research. 327. 109883–109883. 1 indexed citations
3.
Wang, Chufeng, Shijie Xu, Chenghai Yang, et al.. (2024). Determining rapeseed lodging angles and types for lodging phenotyping using morphological traits derived from UAV images. European Journal of Agronomy. 155. 127104–127104. 8 indexed citations
4.
Wang, Hui, Jianglin Zhao, Chufeng Wang, et al.. (2023). Cardiovascular safety of Janus kinase inhibitors in patients with rheumatoid arthritis: systematic review and network meta-analysis. Frontiers in Pharmacology. 14. 1237234–1237234. 13 indexed citations
5.
Wang, Chufeng, Chenghai Yang, Jian Zhang, et al.. (2023). A PROSAIL model with a vegetation index lookup table optimized with in-situ statistics for rapeseed leaf area index estimation using diverse unmanned aerial vehicle sensors in the Yangtze River Basin. Computers and Electronics in Agriculture. 215. 108418–108418. 7 indexed citations
6.
Xie, Tianjin, Yahui Chen, Yuting Zhang, et al.. (2022). High-throughput unmanned aerial vehicle-based phenotyping provides insights into the dynamic process and genetic basis of rapeseed waterlogging response in the field. Journal of Experimental Botany. 73(15). 5264–5278. 11 indexed citations
7.
Chen, Jen‐Jee, et al.. (2021). Detection of Cytopathic Effects Induced by Influenza, Parainfluenza, and Enterovirus Using Deep Convolution Neural Network. Biomedicines. 10(1). 70–70. 4 indexed citations
8.
Lü, Min, Joel Lanir, Chufeng Wang, et al.. (2021). Modeling Just Noticeable Differences in Charts. IEEE Transactions on Visualization and Computer Graphics. 28(1). 718–726. 18 indexed citations
9.
Zhang, Jian, Chufeng Wang, Chenghai Yang, et al.. (2020). Assessing the Effect of Real Spatial Resolution of In Situ UAV Multispectral Images on Seedling Rapeseed Growth Monitoring. Remote Sensing. 12(7). 1207–1207. 43 indexed citations
10.
Zhang, Jian, Chenghai Yang, Yeyin Shi, et al.. (2020). Rapeseed Stand Count Estimation at Leaf Development Stages With UAV Imagery and Convolutional Neural Networks. Frontiers in Plant Science. 11. 617–617. 30 indexed citations
11.
Lü, Min, Chufeng Wang, Joel Lanir, et al.. (2020). Exploring Visual Information Flows in Infographics. 1–12. 38 indexed citations
12.
13.
Wang, Chufeng, et al.. (2020). Hydrogen-rich saline mitigates pressure overload-induced cardiac hypertrophy and atrial fibrillation in rats via the JAK-STAT signalling pathway. Journal of International Medical Research. 48(8). 1220735967–1220735967. 9 indexed citations
14.
Huang, Hui-Wen, Chufeng Wang, Po‐Liang Lu, et al.. (2018). Evolutionary histories of coxsackievirus B5 and swine vesicular disease virus reconstructed by phylodynamic and sequence variation analyses. Scientific Reports. 8(1). 8821–8821. 6 indexed citations
15.
Lu, Po‐Liang, Yongying Shi, Chufeng Wang, et al.. (2016). Phylodynamic Characterization of an Ocular-Tropism Coxsackievirus A24 Variant. PLoS ONE. 11(8). e0160672–e0160672. 10 indexed citations
16.
Wang, Chufeng, et al.. (2015). Research on Low Density Cementing Technology of Coalbed Methane Well. 10(2). 50–57. 1 indexed citations
17.
Chu, Pei‐Yu, Yu‐Chang Tyan, Yao-Shen Chen, et al.. (2015). Transmission and Demographic Dynamics of Coxsackievirus B1. PLoS ONE. 10(6). e0129272–e0129272. 14 indexed citations
18.
Huang, Hui-Wen, Yao-Shen Chen, Jeff Yi‐Fu Chen, et al.. (2015). Phylodynamic reconstruction of the spatiotemporal transmission and demographic history of coxsackievirus B2. BMC Bioinformatics. 16(1). 302–302. 6 indexed citations
19.
Lu, Po‐Liang, Kuei-Hsiang Lin, Pei‐Yu Chu, et al.. (2015). Molecular Epidemiology and Phylogenetic Analysis of Human Adenovirus Caused an Outbreak in Taiwan during 2011. PLoS ONE. 10(5). e0127377–e0127377. 23 indexed citations
20.
Chu, Pei‐Yu, Yu‐Ling Tsai, Hsiu‐Lin Chen, et al.. (2009). Coxsackievirus B4 in Southern Taiwan: Molecular Epidemiology. Journal of Clinical Virology. 45(1). 16–22. 10 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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