Jianbin Zeng

1.4k total citations
53 papers, 984 citations indexed

About

Jianbin Zeng is a scholar working on Plant Science, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Jianbin Zeng has authored 53 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 8 papers in Agronomy and Crop Science and 7 papers in Molecular Biology. Recurrent topics in Jianbin Zeng's work include Plant nutrient uptake and metabolism (20 papers), Plant Micronutrient Interactions and Effects (20 papers) and Plant Stress Responses and Tolerance (18 papers). Jianbin Zeng is often cited by papers focused on Plant nutrient uptake and metabolism (20 papers), Plant Micronutrient Interactions and Effects (20 papers) and Plant Stress Responses and Tolerance (18 papers). Jianbin Zeng collaborates with scholars based in China, Australia and Denmark. Jianbin Zeng's co-authors include Guoping Zhang, Xiaoyan Quan, Xiaoyan He, Zhilan Ye, Zhigang Han, Jawad Munawar Shah, Feibo Wu, Lingzhen Ye, Imrul Mosaddek Ahmed and Guang Chen and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and IEEE Transactions on Industrial Electronics.

In The Last Decade

Jianbin Zeng

49 papers receiving 973 citations

Peers

Jianbin Zeng

ACS

GENET

Yikai Zhang China

Barry L. Tillman United States

Cheng Lin China

Roy Njoroge Kimotho China

Vanessa Melino Australia

Ankica Kondić‐Špika Serbia

M. Ashraf Bhat India

Lijie Li China

Omar A. Hewedy Egypt

Yikai Zhang China

Jianbin Zeng

654 ×0.8

122 ×0.5

85 ×0.9

ACS

68 ×1.2

50 ×1.3

GENET

Citations per year, relative to Jianbin Zeng Jianbin Zeng (= 1×) peers Yikai Zhang

Countries citing papers authored by Jianbin Zeng

Since Specialization

Citations

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

Fields of papers citing papers by Jianbin Zeng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianbin Zeng

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

All Works

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20 of 20 papers shown

Kang, Xin, Jiayan Wang, Xiaoyan He, et al.. (2025). Genome-Wide Association Study and Transcriptome Analysis Reveal Alkaline Stress-Responsive Genes in Bread Wheat (Triticum aestivum L.). International Journal of Molecular Sciences. 26(17). 8659–8659.

Wu, Gang, Xin Kang, Jiayan Wang, et al.. (2025). Genetic Variation in Wheat Root Transcriptome Responses to Salinity: A Comparative Study of Tolerant and Sensitive Genotypes. International Journal of Molecular Sciences. 26(1). 331–331. 3 indexed citations

Xue, Feng, et al.. (2024). Comprehensive analysis of PLATZ family genes and their responses to abiotic stresses in Barley. BMC Plant Biology. 24(1). 982–982. 3 indexed citations

Zeng, Jianbin, Yongmei Wang, Gang Wu, et al.. (2024). Comparative Transcriptome Analysis Reveals the Genes and Pathways Related to Wheat Root Hair Length. International Journal of Molecular Sciences. 25(4). 2069–2069. 4 indexed citations

Wang, Yalin, Hui‐Min Qin, Jincheng Ni, et al.. (2024). Genome-Wide Identification, Characterization and Expression Patterns of the DBB Transcription Factor Family Genes in Wheat. International Journal of Molecular Sciences. 25(21). 11654–11654. 1 indexed citations

Cui, Yutao, Yalin Wang, Hui‐Min Qin, et al.. (2024). Genome-Wide Association Studies for Wheat Height Under Different Nitrogen Conditions. Agriculture. 14(11). 1998–1998.

Feng, Xue, Xiao‐Ya Chen, Jianbin Zeng, et al.. (2024). Comparative Long Non-Coding Transcriptome Analysis of Three Contrasting Barley Varieties in Response to Aluminum Stress. International Journal of Molecular Sciences. 25(17). 9181–9181. 2 indexed citations

Xu, Dengan, Hui‐Min Qin, Yalin Wang, et al.. (2023). Impact of “Green Revolution” gene Rht-B1b on coleoptile length of wheat. Frontiers in Plant Science. 14. 1147019–1147019. 2 indexed citations

Xue, Feng, Qian Yu, Jianbin Zeng, et al.. (2023). Comprehensive Analysis of the INDETERMINATE DOMAIN (IDD) Gene Family and Their Response to Abiotic Stress in Zea mays. International Journal of Molecular Sciences. 24(7). 6185–6185. 8 indexed citations

10.

Xu, Dengan, Hui‐Min Qin, Yalin Wang, et al.. (2023). In silico curation of QTL-rich clusters and candidate gene identification for plant height of bread wheat. The Crop Journal. 11(5). 1480–1490. 16 indexed citations

11.

Zeng, Jianbin, et al.. (2023). Shielding Strategies for Electric Field Minimization in Current Transformers: A Finite Element Combined Design of Experiment Approach. Energies. 16(21). 7247–7247. 1 indexed citations

12.

Quan, Xiaoyan, Jianbin Zeng, Guang Chen, & Guoping Zhang. (2019). Transcriptomic analysis reveals adaptive strategies to chronic low nitrogen in Tibetan wild barley. BMC Plant Biology. 19(1). 68–68. 24 indexed citations

13.

Zeng, Jianbin, Xiaoyan Quan, Xiaoyan He, et al.. (2018). Root and leaf metabolite profiles analysis reveals the adaptive strategies to low potassium stress in barley. BMC Plant Biology. 18(1). 187–187. 38 indexed citations

14.

Quan, Xiaoyan, Jianbin Zeng, Lingzhen Ye, et al.. (2016). Transcriptome profiling analysis for two Tibetan wild barley genotypes in responses to low nitrogen. BMC Plant Biology. 16(1). 30–30. 80 indexed citations

15.

Nadira, Umme Aktari, Imrul Mosaddek Ahmed, Jianbin Zeng, Feibo Wu, & Guoping Zhang. (2016). Identification of the differentially accumulated proteins associated with low phosphorus tolerance in a Tibetan wild barley accession. Journal of Plant Physiology. 198. 10–22. 11 indexed citations

16.

Quan, Xiaoyan, et al.. (2016). Metabolic analysis of two contrasting wild barley genotypes grown hydroponically reveals adaptive strategies in response to low nitrogen stress. Journal of Plant Physiology. 206. 59–67. 40 indexed citations

17.

He, Xiaoyan, Jianbin Zeng, Fangbin Cao, et al.. (2015). HvEXPB7, a novel β-expansin gene revealed by the root hair transcriptome of Tibetan wild barley, improves root hair growth under drought stress. Journal of Experimental Botany. 66(22). 7405–7419. 109 indexed citations

18.

Bai, Baodong, Jianbin Zeng, Lisheng Wang, & Dexin Xie. (2008). Finite element analysis of high field permanent magnet mechanism using vector Preisach hysteresis model. World Automation Congress. 1–4.

19.

Zeng, Jianbin & Baodong Bai. (2008). Evaluationof Jiles-Atherton Hystersis model’s parameters using mix of simplex method and simulated annealing method. International Conference on Electrical Machines and Systems. 4033–4036. 5 indexed citations

20.

Zeng, Jianbin. (2006). Three Dimensional Finite Element Analysis of Winding Magnetic Flux Linkage in Rotary Electric Machines. Proceedings of the CSEE. 2 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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