Guihong Yin

1.2k total citations
30 papers, 823 citations indexed

About

Guihong Yin is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Guihong Yin has authored 30 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 7 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Guihong Yin's work include Wheat and Barley Genetics and Pathology (16 papers), Plant Disease Resistance and Genetics (9 papers) and Genetics and Plant Breeding (8 papers). Guihong Yin is often cited by papers focused on Wheat and Barley Genetics and Pathology (16 papers), Plant Disease Resistance and Genetics (9 papers) and Genetics and Plant Breeding (8 papers). Guihong Yin collaborates with scholars based in China, Mexico and Sweden. Guihong Yin's co-authors include Zhonghu He, Xianchun Xia, Fengmei Gao, Awais Rasheed, Jindong Liu, Weie Wen, Xiaoxia Wu, Ting Zheng, X. C. Xia and Fang Huang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Food Chemistry.

In The Last Decade

Guihong Yin

28 papers receiving 808 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guihong Yin China 14 755 278 217 112 28 30 823
Ali Ahmad Naz Germany 17 907 1.2× 286 1.0× 163 0.8× 143 1.3× 16 0.6× 36 973
Sundeep Kumar India 17 821 1.1× 334 1.2× 143 0.7× 73 0.7× 19 0.7× 57 889
Alagu Manickavelu Japan 15 894 1.2× 292 1.1× 157 0.7× 128 1.1× 35 1.3× 33 980
Maria Surma Poland 16 757 1.0× 186 0.7× 134 0.6× 155 1.4× 26 0.9× 72 821
Yasir Serag Alnor Gorafi Sudan 14 548 0.7× 174 0.6× 195 0.9× 50 0.4× 28 1.0× 45 630
Xifeng Ren China 15 466 0.6× 253 0.9× 92 0.4× 118 1.1× 17 0.6× 42 584
Valiollah Mohammadi Iran 14 897 1.2× 231 0.8× 316 1.5× 121 1.1× 34 1.2× 43 981
Dinesh Kumar Saini India 18 1.0k 1.3× 407 1.5× 175 0.8× 100 0.9× 20 0.7× 55 1.1k
Sébastien Praud France 18 955 1.3× 391 1.4× 218 1.0× 121 1.1× 36 1.3× 23 1.0k
Derong Hao China 16 841 1.1× 247 0.9× 93 0.4× 140 1.3× 11 0.4× 32 898

Countries citing papers authored by Guihong Yin

Since Specialization
Citations

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

Fields of papers citing papers by Guihong Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guihong Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Guihong Yin. A scholar is included among the top collaborators of Guihong Yin 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 Guihong Yin. Guihong Yin 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.
Zhang, Zhiping, Guihong Yin, Jiazheng Wang, et al.. (2025). Enhanced fermentative sugar yield and hydrogen production from tobacco waste via bio-surfactant assisted hydrothermal pretreatment. Journal of environmental chemical engineering. 13(3). 117073–117073. 2 indexed citations
2.
Zhang, Shaohua, Mengyuan Gao, Guihong Yin, et al.. (2024). Estimation of wheat protein content and wet gluten content based on fusion of hyperspectral and RGB sensors using machine learning algorithms. Food Chemistry. 448. 139103–139103. 16 indexed citations
3.
Xu, Xin, Hongbo Qiao, Xinming Ma, et al.. (2023). An automatic wheat ear counting model based on the minimum area intersection ratio algorithm and transfer learning. Measurement. 216. 112849–112849. 15 indexed citations
4.
Wang, Ting, Junchang Li, Yumei Jiang, et al.. (2023). Wheat gibberellin oxidase genes and their functions in regulating tillering. PeerJ. 11. e15924–e15924. 9 indexed citations
5.
Huang, Zehua, et al.. (2023). Role of bran particles in the formation of dark spots on fresh wet noodle sheets: what are the dark spots?. Journal of the Science of Food and Agriculture. 103(11). 5560–5568. 1 indexed citations
6.
Yin, Zhao, Chao Gao, Guihong Yin, et al.. (2023). Mutagenesis-Derived Resistance to Black Point in Wheat. Plant Disease. 108(4). 899–907.
7.
Gao, Chuang, Mengyu Li, Yumei Jiang, et al.. (2023). Quantitative trait loci for resistance to black point caused by Bipolaris sorokiniana in bread wheat. Molecular Breeding. 43(2). 10–10. 3 indexed citations
8.
Li, Qiao‐Yun, et al.. (2023). Screening and Resistance Locus Identification of the Mutant fcrZ22 Resistant to Crown Rot Caused by Fusarium pseudograminearum. Plant Disease. 108(2). 426–433. 6 indexed citations
9.
10.
Li, Qiao‐Yun, Chao Gao, Kaige Xu, et al.. (2021). Transcriptome-based analysis of resistance mechanism to black point caused by Bipolaris sorokiniana in wheat. Scientific Reports. 11(1). 6911–6911. 19 indexed citations
11.
Liu, Hongzhan, Zhongke Sun, Lizong Hu, et al.. (2021). Comparative Transcriptome Analysis of Male Sterile Anthers Induced by High Temperature in Wheat (Triticum aestivum L.). Frontiers in Plant Science. 12. 727966–727966. 12 indexed citations
12.
13.
Li, Qiao‐Yun, et al.. (2021). SNP-based identification of QTL for resistance to black point caused by Bipolaris sorokiniana in bread wheat. The Crop Journal. 10(3). 767–774. 8 indexed citations
14.
Liu, Jindong, Fengmei Gao, Guihong Yin, et al.. (2018). Genome-Wide Linkage Mapping Reveals QTLs for Seed Vigor-Related Traits Under Artificial Aging in Common Wheat (Triticum aestivum). Frontiers in Plant Science. 9. 1101–1101. 23 indexed citations
15.
Jia, Aolin, Yan Ren, Fengmei Gao, et al.. (2018). Mapping and validation of a new QTL for adult-plant resistance to powdery mildew in Chinese elite bread wheat line Zhou8425B. Theoretical and Applied Genetics. 131(5). 1063–1071. 29 indexed citations
16.
Zhang, Peipei, Guihong Yin, Yue Zhou, et al.. (2017). QTL Mapping of Adult-Plant Resistance to Leaf Rust in the Wheat Cross Zhou 8425B/Chinese Spring Using High-Density SNP Markers. Frontiers in Plant Science. 8. 793–793. 26 indexed citations
17.
Chen, Feng, Xiangfen Zhang, Ning Zhang, et al.. (2015). Combined Small RNA and Degradome Sequencing Reveals Novel MiRNAs and Their Targets in the High-Yield Mutant Wheat Strain Yunong 3114. PLoS ONE. 10(9). e0137773–e0137773. 13 indexed citations
18.
Yin, Guihong, et al.. (2009). Mapping of Wheat Stripe Rust Resistance Gene <I>YrZH84</I> with RGAP Markers and Its Application. ACTA AGRONOMICA SINICA. 35(7). 1274–1281. 12 indexed citations
19.
Yin, Guihong, et al.. (2009). Molecular Mapping of Powdery Mildew Resistance Gene in Wheat Cultivar Jimai 22. ACTA AGRONOMICA SINICA. 35(8). 1425–1431. 21 indexed citations
20.
Chen, Long, Guihong Yin, Chuan‐Liang Deng, et al.. (2009). Molecular identification on <I>Waxy</I> genes in wheat using multiple-PCR. Hereditas (Beijing). 31(8). 844–848. 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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