Fei Dai

5.0k total citations
58 papers, 2.0k citations indexed

About

Fei Dai is a scholar working on Plant Science, Nutrition and Dietetics and Genetics. According to data from OpenAlex, Fei Dai has authored 58 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Plant Science, 10 papers in Nutrition and Dietetics and 6 papers in Genetics. Recurrent topics in Fei Dai's work include Plant Stress Responses and Tolerance (13 papers), Wheat and Barley Genetics and Pathology (13 papers) and Phytase and its Applications (8 papers). Fei Dai is often cited by papers focused on Plant Stress Responses and Tolerance (13 papers), Wheat and Barley Genetics and Pathology (13 papers) and Phytase and its Applications (8 papers). Fei Dai collaborates with scholars based in China, Australia and Israel. Fei Dai's co-authors include Guoping Zhang, Zhong‐Hua Chen, Dezhi Wu, Shengguan Cai, Eviatar Nevo, Feibo Wu, Long Qiu, Lingzhen Ye, Qiufang Shen and Meixue Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Fei Dai

55 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fei Dai China	23	1.7k	449	170	157	154	58	2.0k
Chungui Lu United Kingdom	29	1.9k 1.1×	813 1.8×	112 0.7×	97 0.6×	113 0.7×	48	2.3k
Christine Girousse France	19	1.9k 1.1×	387 0.9×	143 0.8×	121 0.8×	322 2.1×	31	2.2k
Caitlin S. Byrt Australia	24	2.7k 1.6×	680 1.5×	138 0.8×	143 0.9×	264 1.7×	45	3.3k
Rohit Joshi India	26	2.3k 1.4×	1.1k 2.4×	130 0.8×	70 0.4×	114 0.7×	89	2.7k
Guoxiong Chen China	24	1.4k 0.8×	486 1.1×	292 1.7×	82 0.5×	161 1.0×	62	1.8k
Éva Darkó Hungary	22	1.6k 0.9×	575 1.3×	75 0.4×	58 0.4×	108 0.7×	75	1.9k
Gerald J. Seiler United States	26	2.3k 1.3×	792 1.8×	408 2.4×	126 0.8×	184 1.2×	150	2.7k
David Pot France	30	1.1k 0.6×	591 1.3×	450 2.6×	72 0.5×	223 1.4×	67	2.1k
Dongfa Sun China	25	1.7k 1.0×	617 1.4×	414 2.4×	73 0.5×	222 1.4×	54	2.0k
Luis Aguirrezábal Argentina	24	1.6k 0.9×	374 0.8×	129 0.8×	42 0.3×	258 1.7×	45	1.9k

Countries citing papers authored by Fei Dai

Since Specialization

Citations

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

Fields of papers citing papers by Fei Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Dai

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Dai, Fei, et al.. (2024). Analysis of Maize Planting Mode and Simulation and Optimization of Ridging and Fertilization Components in Arid Area of Northwest China. Agriculture. 14(8). 1360–1360. 1 indexed citations

Huo, Baofeng, et al.. (2023). Understanding the impact of buyer extra-role behavior on supply-side operational transparency: A serial mediation model. International Journal of Production Economics. 266. 109041–109041. 3 indexed citations

Dai, Fei, et al.. (2023). Analysis and performance test on dynamic seed corn threshing and conveying process with variable diameter and spacing. International journal of agricultural and biological engineering. 16(2). 259–266. 5 indexed citations

Ahmad, Iqrar, Shakeel Ahmad, Claus Krogh Madsen, et al.. (2022). New Hope for Genome Editing in Cultivated Grasses: CRISPR Variants and Application. Frontiers in Genetics. 13. 866121–866121. 12 indexed citations

Dai, Fei, Wenjuan Guo, Xuefeng Song, et al.. (2022). Optimization of mechanized soil covering path based on the agronomic mode of full-film double-ditch with double-width filming. International journal of agricultural and biological engineering. 15(1). 139–146. 3 indexed citations

Dai, Fei, et al.. (2021). Migration law of flax threshing materials in double channel air-and-screen separating cleaner. International journal of agricultural and biological engineering. 14(3). 92–102. 1 indexed citations

Ye, Lingzhen, Wang Yin, Lizhi Long, et al.. (2019). A Trypsin Family Protein Gene Controls Tillering and Leaf Shape in Barley. PLANT PHYSIOLOGY. 181(2). 701–713. 22 indexed citations

Pourkheirandish, Mohammad, Fei Dai, Shun Sakuma, et al.. (2018). On the Origin of the Non-brittle Rachis Trait of Domesticated Einkorn Wheat. Frontiers in Plant Science. 8. 2031–2031. 40 indexed citations

Cai, Shengguan, Guang Chen, Yuanyuan Wang, et al.. (2017). Evolutionary Conservation of ABA Signaling for Stomatal Closure. PLANT PHYSIOLOGY. 174(2). 732–747. 164 indexed citations

10.

Han, Zhigang, Shengguan Cai, Xuelei Zhang, et al.. (2017). Development of predictive models for total phenolics and free p-coumaric acid contents in barley grain by near-infrared spectroscopy. Food Chemistry. 227. 342–348. 32 indexed citations

11.

Dai, Fei, et al.. (2016). Experiment on plot wheat breeding combine harvester. 28(6). 1088. 2 indexed citations

12.

Chen, Zhong‐Hua, Guang Chen, Fei Dai, et al.. (2016). Molecular Evolution of Grass Stomata. Trends in Plant Science. 22(2). 124–139. 196 indexed citations

13.

Shen, Qiufang, Liangbo Fu, Fei Dai, et al.. (2016). Multi-omics analysis reveals molecular mechanisms of shoot adaption to salt stress in Tibetan wild barley. BMC Genomics. 17(1). 889–889. 71 indexed citations

14.

Dong, Li, et al.. (2015). Pollen variation as a response to hybridisation in Populus L. section Aigeiros Duby. Euphytica. 206(2). 433–443. 6 indexed citations

15.

Wu, Dezhi, Shengguan Cai, Mingxian Chen, et al.. (2013). Tissue Metabolic Responses to Salt Stress in Wild and Cultivated Barley. PLoS ONE. 8(1). e55431–e55431. 194 indexed citations

16.

Dai, Fei. (2012). Effects of Different Soil Substrates and Growth Regulators on the Rooting of Armeniaca sibirica Cutting. Northern Horticulture. 1 indexed citations

17.

Wu, Dezhi, Long Qiu, Lulu Xu, et al.. (2011). Genetic Variation of HvCBF Genes and Their Association with Salinity Tolerance in Tibetan Annual Wild Barley. PLoS ONE. 6(7). e22938–e22938. 74 indexed citations

18.

Qiu, Long, Dezhi Wu, Shafaqat Ali, et al.. (2010). Evaluation of salinity tolerance and analysis of allelic function of HvHKT1 and HvHKT2 in Tibetan wild barley. Theoretical and Applied Genetics. 122(4). 695–703. 113 indexed citations

19.

Huang, Youzong, Kang Wei, Juan Yang, Fei Dai, & Guoping Zhang. (2007). Interaction of salinity and cadmium stresses on mineral nutrients, sodium, and cadmium accumulation in four barley genotypes. Journal of Zhejiang University SCIENCE B. 8(7). 476–485. 25 indexed citations

20.

Chen, Jinxin, Fei Dai, Kang Wei, & Guoping Zhang. (2005). Relationship between malt qualities and β-amylase activity and protein content as affected by timing of nitrogen fertilizer application. Journal of Zhejiang University SCIENCE B. 7(1). 79–84. 18 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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