Hui Fang

2.0k total citations
54 papers, 1.5k citations indexed

About

Hui Fang is a scholar working on Plant Science, Molecular Biology and Ecology. According to data from OpenAlex, Hui Fang has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 16 papers in Molecular Biology and 11 papers in Ecology. Recurrent topics in Hui Fang's work include Research in Cotton Cultivation (13 papers), Plant Virus Research Studies (8 papers) and Plant and Fungal Interactions Research (8 papers). Hui Fang is often cited by papers focused on Research in Cotton Cultivation (13 papers), Plant Virus Research Studies (8 papers) and Plant and Fungal Interactions Research (8 papers). Hui Fang collaborates with scholars based in China, United States and Belgium. Hui Fang's co-authors include Xiao‐Lei Wu, Yong Nie, Yue‐Qin Tang, Liao Yang, Jie‐Liang Liang, Jie Bai, Junli Li, Xi Chen, Chang-Qiao Chi and Huiping Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Hui Fang

50 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hui Fang China 21 591 465 279 250 165 54 1.5k
Wu United Kingdom 24 1.3k 2.3× 431 0.9× 221 0.8× 190 0.8× 143 0.9× 363 2.4k
Taek‐Kyun Lee South Korea 23 602 1.0× 622 1.3× 172 0.6× 427 1.7× 146 0.9× 127 2.2k
Xuemei Li China 20 468 0.8× 404 0.9× 170 0.6× 326 1.3× 73 0.4× 75 1.4k
Jianmeng Cao China 25 252 0.4× 262 0.6× 597 2.1× 177 0.7× 53 0.3× 82 2.2k
Sergio Sgorbati Italy 28 2.0k 3.4× 1.0k 2.2× 271 1.0× 346 1.4× 125 0.8× 73 3.3k
Zafar A. Reshi India 28 1.4k 2.3× 356 0.8× 141 0.5× 431 1.7× 158 1.0× 156 2.5k
Hao Sun China 22 225 0.4× 384 0.8× 128 0.5× 442 1.8× 99 0.6× 75 1.5k
Lü 19 1.0k 1.7× 410 0.9× 150 0.5× 111 0.4× 77 0.5× 283 1.8k

Countries citing papers authored by Hui Fang

Since Specialization
Citations

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

Fields of papers citing papers by Hui Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Fang. A scholar is included among the top collaborators of Hui Fang 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 Hui Fang. Hui Fang 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, Shengmao, et al.. (2025). Reviews on the development of digital intelligent fisheries technology in aquaculture. Aquaculture International. 33(3). 8 indexed citations
2.
Sun, Na, et al.. (2025). Genome-wide association analysis of wheat stem traits using 55K microarrays. Frontiers in Plant Science. 16. 1635721–1635721.
3.
Fang, Hui, Priyanka Tyagi, Fred M. Bourland, et al.. (2024). Genome-wide association study of fiber quality traits in US upland cotton (Gossypium hirsutum L.). Theoretical and Applied Genetics. 137(9). 214–214. 2 indexed citations
4.
Fang, Hui, et al.. (2023). Genome-wide association analysis of time to heading and maturity in bread wheat using 55K microarrays. Frontiers in Plant Science. 14. 1296197–1296197. 5 indexed citations
5.
Chen, Xi, Hui Fang, Tie Liu, et al.. (2023). Monitoring Surface Water Area Changes in the Aral Sea Basin Using the Google Earth Engine Cloud Platform. Water. 15(9). 1729–1729. 10 indexed citations
6.
Caton, Barney P., et al.. (2023). Transect-based trapping for area-wide delimitation of insects. Journal of Economic Entomology. 116(3). 1002–1016. 3 indexed citations
7.
Fang, Hui, Shilpa Sood, Kuang Zhang, et al.. (2022). Identification and genomic characterization of major effect bacterial blight resistance locus (BB-13) in Upland cotton (Gossypium hirsutum L.). Theoretical and Applied Genetics. 135(12). 4421–4436. 11 indexed citations
8.
Fang, Hui, et al.. (2022). Simulation-based evaluation of two insect trapping grids for delimitation surveys. Scientific Reports. 12(1). 11089–11089. 9 indexed citations
9.
Fang, Hui, Kuang Zhang, Daryl T. Bowman, Don C. Jones, & Vasu Kuraparthy. (2019). Registration of Four Germplasm Lines of Upland Cotton with High Lint Yield. Journal of Plant Registrations. 13(3). 396–400.
10.
Lyu, Changjiang, Weirui Zhao, Sheng Hu, et al.. (2018). Exploring the contributions of two glutamate decarboxylase isozymes in Lactobacillus brevis to acid resistance and γ-aminobutyric acid production. Microbial Cell Factories. 17(1). 180–180. 87 indexed citations
11.
Huang, Jun, Hui Fang, Zhongchao Gai, et al.. (2018). Lactobacillus brevis CGMCC 1306 glutamate decarboxylase: Crystal structure and functional analysis. Biochemical and Biophysical Research Communications. 503(3). 1703–1709. 37 indexed citations
12.
Fang, Hui, et al.. (2018). Role of the Group 2 Mrp sodium/proton antiporter in rapid response to high alkaline shock in the alkaline- and salt-tolerant Dietzia sp. DQ12-45-1b. Applied Microbiology and Biotechnology. 102(8). 3765–3777. 25 indexed citations
13.
Coneva, Viktoriya, Margaret H. Frank, John R. Tuttle, et al.. (2016). Modifications to a LATE MERISTEM IDENTITY1 gene are responsible for the major leaf shapes of Upland cotton ( Gossypium hirsutum L.). Proceedings of the National Academy of Sciences. 114(1). E57–E66. 85 indexed citations
14.
Fang, Hui, Bing Hu, Yong Nie, Yue‐Qin Tang, & Xiao‐Lei Wu. (2016). The complete genome of Dietzia timorensis ID05-A0528 T revealed the genetic basis for its saline-alkali tolerance. Journal of Biotechnology. 241. 11–13. 4 indexed citations
15.
Zhou, Jun, Hui Fang, Lin Chen, et al.. (2014). A major QTL located on chromosome V associates with in vitro tuberization in a tetraploid potato population. Molecular Genetics and Genomics. 289(4). 575–587. 5 indexed citations
16.
17.
Nie, Yong, Jie‐Liang Liang, Hui Fang, Yue‐Qin Tang, & Xiao‐Lei Wu. (2013). Characterization of a CYP153 alkane hydroxylase gene in a Gram-positive Dietzia sp. DQ12-45-1b and its “team role” with alkW1 in alkane degradation. Applied Microbiology and Biotechnology. 98(1). 163–173. 55 indexed citations
18.
Bai, Jie, Xi Chen, Junli Li, Liao Yang, & Hui Fang. (2010). Changes in the area of inland lakes in arid regions of central Asia during the past 30 years. Environmental Monitoring and Assessment. 178(1-4). 247–256. 179 indexed citations
19.
Fang, Hui, et al.. (2009). Genetic diagnosis of HaileyâHailey disease in two Chinese families: novel mutations in theATP2C1gene. Clinical and Experimental Dermatology. 34(8). e968–e971. 6 indexed citations
20.
Fang, Hui, et al.. (2007). Optimizing Cultivation Patterns for Rice Blast Control. Zhongguo nongye Kexue. 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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