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

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

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18 of 18 papers shown

#	Title	Journal	Authors	Indexed citations
1	Improved monitoring of southern corn rust using UAV-based multi-view imagery and an attention-based deep learning method	Computers and Electronics in Agriculture	Liheng Zhong, Gengshen Chen et al.	8
2	Characterization of volatile metabolites in temperate and tropical sweet corn cultivars under various post-harvest storage conditions	Food Chemistry X	Lihong Zhai, Yunqi Tang et al.	2
3	Improved weed mapping in corn fields by combining UAV‐based spectral, textural, structural, and thermal measurements	Pest Management Science	Ran Meng, Gengshen Chen et al.	24
4	Characterization of LDO Induced Increment of SEE Sensitivity for 22-nm FDSOI SRAM	IEEE Transactions on Device and Materials Reliability	Chang Cai, Yuzhu Liu et al.	3
5	Combining multiple spectral enhancement features for improving spectroscopic asymptomatic detection and symptomatic severity classification of southern corn leaf blight	Precision Agriculture	Ran Meng, Gengshen Chen et al.	4
6	Three types of genes underlying the Gametophyte factor1 locus cause unilateral cross incompatibility in maize	Nature Communications	Wenqiang Li, Luxi Wang et al.	16
7	Genetic basis of resistance to southern corn leaf blight in the maize multi‐parent population and diversity panel	Plant Biotechnology Journal	Gengshen Chen, Yingjie Xiao et al.	15
8	Improved Weed Mapping in Corn Fields by Combining Uav-Based Spectral, Textural, Structural, and Thermal Measurements	SSRN Electronic Journal	Ran Meng, Gengshen Chen et al.	2
9	Genetic variation in YIGE1 contributes to ear length and grain yield in maize	New Phytologist	Yun Luo, Mingliang Zhang et al.	55
10	A teosinte-derived allele of a MYB transcription repressor confers multiple disease resistance in maize	Molecular Plant	Hongze Wang, Pei Ye et al.	48
11	Genetic dissection of maize plant architecture using a novel nested association mapping population	The Plant Genome	Sheng Zhao, Xueying Li et al.	14
12	Development of Spectral Disease Indices for Southern Corn Rust Detection and Severity Classification	Remote Sensing	Ran Meng, Jianbing Yan et al.	47
13	New QTL for resistance to Puccinia polysora Underw in maize	Journal of Applied Genetics	Huimin Li, Zhimin Li et al.	12
14	Association mapping resolving the major loci Scmv2 conferring resistance to sugarcane mosaic virus in maize	European Journal of Plant Pathology	Zhimin Li, Jiafa Chen et al.	12
15	Genome-wide association mapping reveals novel sources of resistance to northern corn leaf blight in maize	BMC Plant Biology	Junqiang Ding, Farhan Ali et al.	64
16	Genome-Wide Association Implicates Candidate Genes Conferring Resistance to Maize Rough Dwarf Disease in Maize	PLoS ONE	Gengshen Chen, Xiaoming Wang et al.	26
17	Mapping of QTL conferring resistance to northern corn leaf blight using high-density SNPs in maize	Molecular Breeding	Gengshen Chen, Xiaoming Wang et al.	34
18	Enhance SAT conflict analysis for model checking		Minge Jing, Gengshen Chen et al.	1

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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