Jiangwei Qiao

961 total citations
25 papers, 715 citations indexed

About

Jiangwei Qiao is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, Jiangwei Qiao has authored 25 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 16 papers in Molecular Biology and 7 papers in Biochemistry. Recurrent topics in Jiangwei Qiao's work include Lipid metabolism and biosynthesis (7 papers), Nitrogen and Sulfur Effects on Brassica (6 papers) and Plant Molecular Biology Research (6 papers). Jiangwei Qiao is often cited by papers focused on Lipid metabolism and biosynthesis (7 papers), Nitrogen and Sulfur Effects on Brassica (6 papers) and Plant Molecular Biology Research (6 papers). Jiangwei Qiao collaborates with scholars based in China, Czechia and Germany. Jiangwei Qiao's co-authors include Jun Li, Guizhen Gao, Guixin Yan, Biyun Chen, Xiaoming Wu, Kun Xu, Kun Xu, Tianyao Zhang, Meizhong Luo and Li Feng and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Jiangwei Qiao

25 papers receiving 707 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jiangwei Qiao 552 443 113 109 34 25 715
Véronique Brunaud 1.2k 2.2× 873 2.0× 53 0.5× 89 0.8× 24 0.7× 38 1.5k
Zhiquan Yang 856 1.6× 757 1.7× 114 1.0× 219 2.0× 19 0.6× 27 1.1k
Cristina Barrero‐Sicilia 703 1.3× 467 1.1× 48 0.4× 68 0.6× 7 0.2× 15 808
Yangjun Yu 718 1.3× 525 1.2× 24 0.2× 97 0.9× 21 0.6× 48 915
Dangping Luo 1.1k 2.0× 580 1.3× 29 0.3× 178 1.6× 10 0.3× 9 1.3k
Truyen Quach 614 1.1× 425 1.0× 38 0.3× 34 0.3× 14 0.4× 24 796
Ke Lin 669 1.2× 526 1.2× 51 0.5× 113 1.0× 13 0.4× 21 794
Malek Alioua 1.2k 2.2× 943 2.1× 23 0.2× 46 0.4× 12 0.4× 10 1.5k
Shaofei Tong 576 1.0× 427 1.0× 30 0.3× 62 0.6× 25 0.7× 19 697
Jianmin Wan 659 1.2× 364 0.8× 13 0.1× 165 1.5× 7 0.2× 25 784

Countries citing papers authored by Jiangwei Qiao

Since Specialization
Citations

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

Fields of papers citing papers by Jiangwei Qiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangwei Qiao

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangwei Qiao. A scholar is included among the top collaborators of Jiangwei Qiao 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 Jiangwei Qiao. Jiangwei Qiao 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.
Zhu, Chengyong, et al.. (2025). DM_CorrMatch: a semi-supervised semantic segmentation framework for rapeseed flower coverage estimation using UAV imagery. Plant Methods. 21(1). 54–54. 2 indexed citations
2.
Zhu, Chengyong, et al.. (2025). CMRNet: An Automatic Rapeseed Counting and Localization Method Based on the CNN-Mamba Hybrid Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 19051–19065. 1 indexed citations
3.
Li, Jie, et al.. (2024). Organ-Level Instance Segmentation of Oilseed Rape at Seedling Stage Based on 3D Point Cloud. Applied Engineering in Agriculture. 40(2). 151–164. 2 indexed citations
4.
Wang, Luman, et al.. (2024). Roles of Germin-like Protein Family in Response to Seed Germination and Shoot Branching in Brassica napus. International Journal of Molecular Sciences. 25(21). 11518–11518. 2 indexed citations
5.
Li, Yarong, Qian Zhang, Luman Wang, et al.. (2023). New Insights into the TIFY Gene Family of Brassica napus and Its Involvement in the Regulation of Shoot Branching. International Journal of Molecular Sciences. 24(23). 17114–17114. 4 indexed citations
6.
Li, Yi, Jiangwei Qiao, Li Li, et al.. (2023). Automatic counting of rapeseed inflorescences using deep learning method and UAV RGB imagery. Frontiers in Plant Science. 14. 12 indexed citations
7.
Qiao, Jiangwei, et al.. (2023). Automatic rape flower cluster counting method based on low-cost labelling and UAV-RGB images. Plant Methods. 19(1). 40–40. 25 indexed citations
8.
Li, Lili, et al.. (2022). Automatic freezing-tolerant rapeseed material recognition using UAV images and deep learning. Plant Methods. 18(1). 5–5. 14 indexed citations
9.
Qiao, Jiangwei, Xiaojun Zhang, Biyun Chen, et al.. (2020). Comparison of the cytoplastic genomes by resequencing: insights into the genetic diversity and the phylogeny of the agriculturally important genus Brassica. BMC Genomics. 21(1). 480–480. 14 indexed citations
10.
Yan, Guixin, Xin Xiao, Nian Wang, et al.. (2018). Genome-wide analysis and expression profiles of glyoxalase gene families in Chinese cabbage (Brassica rapa L). PLoS ONE. 13(1). e0191159–e0191159. 19 indexed citations
11.
Yan, Guixin, Xiaodan Lv, Guizhen Gao, et al.. (2016). Identification and Characterization of a Glyoxalase I Gene in a Rapeseed Cultivar with Seed Thermotolerance. Frontiers in Plant Science. 7. 150–150. 21 indexed citations
12.
Li, Jun, Qian Huang, Meng‐Xiang Sun, et al.. (2016). Global DNA methylation variations after short-term heat shock treatment in cultured microspores of Brassica napus cv. Topas. Scientific Reports. 6(1). 38401–38401. 62 indexed citations
13.
Qiao, Jiangwei, Guixin Yan, Nian Wang, et al.. (2015). High‐throughput multiplex cpDNA resequencing clarifies the genetic diversity and genetic relationships among Brassica napus, Brassica rapa and Brassica oleracea. Plant Biotechnology Journal. 14(1). 409–418. 28 indexed citations
14.
Li, Feng, Biyun Chen, Kun Xu, et al.. (2015). A genome-wide association study of plant height and primary branch number in rapeseed ( Brassica napus ). Plant Science. 242. 169–177. 107 indexed citations
15.
Yan, Guixin, Dan Li, Guizhen Gao, et al.. (2015). Characterization of <i>FAE1</i> in the zero erucic acid germplasm of <i>Brassica rapa</i> L.. Breeding Science. 65(3). 257–264. 23 indexed citations
16.
Gao, Guizhen, Jun Li, Hao Li, et al.. (2014). Comparison of the heat stress induced variations in DNA methylation between heat-tolerant and heat-sensitive rapeseed seedlings. Breeding Science. 64(2). 125–133. 91 indexed citations
17.
Wang, Nian, Li Feng, Biyun Chen, et al.. (2014). Genome-wide investigation of genetic changes during modern breeding of Brassica napus. Theoretical and Applied Genetics. 127(8). 1817–1829. 45 indexed citations
18.
Li, Jun, Guizhen Gao, Kun Xu, et al.. (2014). Genome-Wide Survey and Expression Analysis of the Putative Non-Specific Lipid Transfer Proteins in Brassica rapa L. PLoS ONE. 9(1). e84556–e84556. 51 indexed citations
19.
Qiao, Jiangwei, Jun Li, Wen Chu, & Meizhong Luo. (2013). PRDA1, a Novel Chloroplast Nucleoid Protein, is Required for Early Chloroplast Development and is Involved in the Regulation of Plastid Gene Expression in Arabidopsis. Plant and Cell Physiology. 54(12). 2071–2084. 28 indexed citations
20.

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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