Gengshen Chen

971 total citations
18 papers, 387 citations indexed

About

Gengshen Chen is a scholar working on Plant Science, Genetics and Analytical Chemistry. According to data from OpenAlex, Gengshen Chen has authored 18 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 8 papers in Genetics and 4 papers in Analytical Chemistry. Recurrent topics in Gengshen Chen's work include Genetic Mapping and Diversity in Plants and Animals (8 papers), Plant Disease Resistance and Genetics (6 papers) and Wheat and Barley Genetics and Pathology (4 papers). Gengshen Chen is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (8 papers), Plant Disease Resistance and Genetics (6 papers) and Wheat and Barley Genetics and Pathology (4 papers). Gengshen Chen collaborates with scholars based in China, United States and Mexico. Gengshen Chen's co-authors include Jianbing Yan, Junqiang Ding, Xiaoming Wang, Ran Meng, Feng Zhao, Ning Yang, Linglin Zeng, George Mahuku, Huihui Li and Farhan Ali and has published in prestigious journals such as Nature Communications, PLoS ONE and New Phytologist.

In The Last Decade

Gengshen Chen

18 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gengshen Chen China 12 327 181 56 53 27 18 387
Monica F. Danilevicz Australia 10 306 0.9× 131 0.7× 109 1.9× 64 1.2× 23 0.9× 23 412
Elmar A. Weissmann Germany 9 381 1.2× 230 1.3× 32 0.6× 38 0.7× 9 0.3× 11 420
Maximilian J. Feldman United States 5 202 0.6× 48 0.3× 52 0.9× 75 1.4× 19 0.7× 6 257
R. Higgins United States 6 225 0.7× 135 0.7× 36 0.6× 32 0.6× 21 0.8× 9 289
Balpreet K. Dhatt United States 11 295 0.9× 96 0.5× 65 1.2× 16 0.3× 27 1.0× 16 326
Patrick Thorwarth Germany 13 391 1.2× 252 1.4× 29 0.5× 33 0.6× 32 1.2× 21 453
Yuvraj Chopra United States 3 258 0.8× 104 0.6× 16 0.3× 43 0.8× 24 0.9× 4 283
César Lizárraga United States 4 188 0.6× 32 0.2× 47 0.8× 74 1.4× 21 0.8× 6 241
Nora Honsdorf Germany 9 323 1.0× 130 0.7× 93 1.7× 23 0.4× 8 0.3× 12 374
Kyle Parmley United States 6 235 0.7× 58 0.3× 21 0.4× 57 1.1× 40 1.5× 8 275

Countries citing papers authored by Gengshen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Gengshen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gengshen Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Gengshen Chen. A scholar is included among the top collaborators of Gengshen Chen 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 Gengshen Chen. Gengshen Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Zhong, Liheng, Gengshen Chen, Zehua Huang, et al.. (2024). Improved monitoring of southern corn rust using UAV-based multi-view imagery and an attention-based deep learning method. Computers and Electronics in Agriculture. 224. 109232–109232. 8 indexed citations
2.
Zhai, Lihong, et al.. (2024). Characterization of volatile metabolites in temperate and tropical sweet corn cultivars under various post-harvest storage conditions. Food Chemistry X. 24. 102020–102020. 2 indexed citations
3.
Meng, Ran, Gengshen Chen, Linlin Liang, et al.. (2023). Improved weed mapping in corn fields by combining UAV‐based spectral, textural, structural, and thermal measurements. Pest Management Science. 79(7). 2591–2602. 24 indexed citations
4.
Cai, Chang, et al.. (2023). Characterization of LDO Induced Increment of SEE Sensitivity for 22-nm FDSOI SRAM. IEEE Transactions on Device and Materials Reliability. 23(4). 537–543. 3 indexed citations
5.
Meng, Ran, Gengshen Chen, Feng Zhao, et al.. (2023). Combining multiple spectral enhancement features for improving spectroscopic asymptomatic detection and symptomatic severity classification of southern corn leaf blight. Precision Agriculture. 24(4). 1593–1618. 4 indexed citations
6.
Li, Wenqiang, Luxi Wang, Jiali Yan, et al.. (2022). Three types of genes underlying the Gametophyte factor1 locus cause unilateral cross incompatibility in maize. Nature Communications. 13(1). 4498–4498. 16 indexed citations
7.
Chen, Gengshen, Yingjie Xiao, Xiaoming Wang, et al.. (2022). Genetic basis of resistance to southern corn leaf blight in the maize multi‐parent population and diversity panel. Plant Biotechnology Journal. 21(3). 506–520. 15 indexed citations
8.
Meng, Ran, Gengshen Chen, Linlin Liang, et al.. (2022). Improved Weed Mapping in Corn Fields by Combining Uav-Based Spectral, Textural, Structural, and Thermal Measurements. SSRN Electronic Journal. 2 indexed citations
9.
Luo, Yun, Mingliang Zhang, Yu Liu, et al.. (2021). Genetic variation in YIGE1 contributes to ear length and grain yield in maize. New Phytologist. 234(2). 513–526. 55 indexed citations
10.
Wang, Hongze, Pei Ye, Bao Zhang, et al.. (2021). A teosinte-derived allele of a MYB transcription repressor confers multiple disease resistance in maize. Molecular Plant. 14(11). 1846–1863. 48 indexed citations
11.
Zhao, Sheng, Xueying Li, Junfeng Song, et al.. (2021). Genetic dissection of maize plant architecture using a novel nested association mapping population. The Plant Genome. 15(1). e20179–e20179. 14 indexed citations
12.
Meng, Ran, et al.. (2020). Development of Spectral Disease Indices for Southern Corn Rust Detection and Severity Classification. Remote Sensing. 12(19). 3233–3233. 47 indexed citations
13.
Li, Huimin, Zhimin Li, Zhiqiang Tian, et al.. (2019). New QTL for resistance to Puccinia polysora Underw in maize. Journal of Applied Genetics. 60(2). 147–150. 12 indexed citations
14.
Li, Zhimin, Jiafa Chen, Liping Han, et al.. (2016). Association mapping resolving the major loci Scmv2 conferring resistance to sugarcane mosaic virus in maize. European Journal of Plant Pathology. 145(2). 385–391. 12 indexed citations
15.
Ding, Junqiang, Farhan Ali, Gengshen Chen, et al.. (2015). Genome-wide association mapping reveals novel sources of resistance to northern corn leaf blight in maize. BMC Plant Biology. 15(1). 206–206. 64 indexed citations
16.
Chen, Gengshen, Xiaoming Wang, Junjie Hao, Jianbing Yan, & Junqiang Ding. (2015). Genome-Wide Association Implicates Candidate Genes Conferring Resistance to Maize Rough Dwarf Disease in Maize. PLoS ONE. 10(11). e0142001–e0142001. 26 indexed citations
17.
Chen, Gengshen, Xiaoming Wang, Jennifer Jaqueth, et al.. (2015). Mapping of QTL conferring resistance to northern corn leaf blight using high-density SNPs in maize. Molecular Breeding. 36(1). 34 indexed citations
18.
Jing, Minge, Gengshen Chen, Wenbo Yin, & Dian Zhou. (2009). Enhance SAT conflict analysis for model checking. 50. 686–689. 1 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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Breakdown of academic impact, for papers by Monica F. Danilevicz Breakdown of academic impact, for papers by Elmar A. Weissmann Breakdown of academic impact, for papers by Maximilian J. Feldman Breakdown of academic impact, for papers by R. Higgins Breakdown of academic impact, for papers by Balpreet K. Dhatt Breakdown of academic impact, for papers by Patrick Thorwarth Breakdown of academic impact, for papers by Yuvraj Chopra Breakdown of academic impact, for papers by César Lizárraga Breakdown of academic impact, for papers by Nora Honsdorf Breakdown of academic impact, for papers by Kyle Parmley
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2026