Weifeng Yang

442 total citations
28 papers, 305 citations indexed

About

Weifeng Yang is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, Weifeng Yang has authored 28 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 18 papers in Plant Science and 8 papers in Molecular Biology. Recurrent topics in Weifeng Yang's work include Genetic Mapping and Diversity in Plants and Animals (17 papers), Rice Cultivation and Yield Improvement (12 papers) and GABA and Rice Research (8 papers). Weifeng Yang is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (17 papers), Rice Cultivation and Yield Improvement (12 papers) and GABA and Rice Research (8 papers). Weifeng Yang collaborates with scholars based in China, Australia and Iran. Weifeng Yang's co-authors include Shaokui Wang, Guifu Liu, Guiquan Zhang, Haitao Zhu, Xin Luan, Suhong Bu, Zupei Liu, Weiwei Zheng, Jiamei Liu and Fengfeng Zhou and has published in prestigious journals such as Scientific Reports, Gene and Frontiers in Plant Science.

In The Last Decade

Weifeng Yang

25 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weifeng Yang China 12 215 180 72 16 11 28 305
Dorota Herman Belgium 8 213 1.0× 58 0.3× 122 1.7× 6 0.4× 4 0.4× 14 301
Arllet Portugal Philippines 5 202 0.9× 81 0.5× 62 0.9× 24 1.5× 11 1.0× 6 266
Sylvie Abouna United Kingdom 8 132 0.6× 46 0.3× 118 1.6× 14 0.9× 3 0.3× 16 328
Shiquan Shen China 10 274 1.3× 204 1.1× 38 0.5× 12 0.8× 9 0.8× 23 342
Zizhang Wang China 10 181 0.8× 23 0.1× 124 1.7× 25 1.6× 8 0.7× 23 319
Ariel A. Aptekmann United States 8 203 0.9× 20 0.1× 211 2.9× 8 0.5× 18 1.6× 21 379
Eric Biggers United States 4 299 1.4× 171 0.9× 157 2.2× 9 0.6× 4 0.4× 4 360
W. Spooner United Kingdom 4 101 0.5× 67 0.4× 107 1.5× 8 0.5× 4 186
Cyril Pommier France 5 161 0.7× 54 0.3× 91 1.3× 16 1.0× 4 0.4× 11 246
Deborah A. Nickerson United States 5 59 0.3× 95 0.5× 182 2.5× 3 0.2× 3 0.3× 6 285

Countries citing papers authored by Weifeng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Weifeng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weifeng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Weifeng Yang. A scholar is included among the top collaborators of Weifeng Yang 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 Weifeng Yang. Weifeng Yang 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.
Shao, Lin, Weifeng Yang, Xin Luan, et al.. (2024). Four QTLs control stigma exsertion rate by changing stigma size in rice. Molecular Breeding. 44(9). 59–59. 1 indexed citations
2.
Quan, Rong, et al.. (2024). Visual Feature Disentanglement for Zero-Shot Learning. 1–6. 1 indexed citations
3.
Li, Fangping, Danlu Han, Weifeng Yang, et al.. (2024). OsSPL5 promotes rice outcrossing efficiency by G‐protein pathway. Plant Biotechnology Journal. 23(2). 509–511.
4.
Yang, Weifeng, Haitao Zhu, Guodong Chen, et al.. (2024). Pyramiding of Low Chalkiness QTLs Is an Effective Way to Reduce Rice Chalkiness. Rice. 17(1). 4–4. 1 indexed citations
5.
Chen, Guodong, Weifeng Yang, Jiao Zhao, et al.. (2023). Grain shape is a factor affecting the stigma exsertion rate in rice. Frontiers in Plant Science. 14. 1087285–1087285. 6 indexed citations
6.
Fu, Yu, Yuan‐Ming Zhang, Weifeng Yang, et al.. (2023). GS6.1 controls kernel size and plant architecture in rice. Planta. 258(2). 42–42.
7.
Guo, Jie, Yun Li, Xin Luan, et al.. (2022). Development of Wide-Compatible Indica Lines by Pyramiding Multiple Neutral Alleles of Indica–Japonica Hybrid Sterility Loci. Frontiers in Plant Science. 13. 890568–890568. 5 indexed citations
8.
Yang, Weifeng, Xin Luan, Haitao Zhu, et al.. (2022). Fine Mapping of Two Major Quantitative Trait Loci for Rice Chalkiness With High Temperature-Enhanced Additive Effects. Frontiers in Plant Science. 13. 957863–957863. 5 indexed citations
9.
Bu, Suhong, Guodong Chen, Haitao Zhu, et al.. (2022). Reconstruction of the High Stigma Exsertion Rate Trait in Rice by Pyramiding Multiple QTLs. Frontiers in Plant Science. 13. 921700–921700. 15 indexed citations
10.
Yang, Weifeng, Xin Luan, Haitao Zhu, et al.. (2021). Substitution Mapping of Two Closely Linked QTLs on Chromosome 8 Controlling Grain Chalkiness in Rice. Rice. 14(1). 85–85. 20 indexed citations
11.
Wang, Chengshu, Xin Luan, Lingjie Zheng, et al.. (2021). Dissection of closely linked QTLs controlling stigma exsertion rate in rice by substitution mapping. Theoretical and Applied Genetics. 134(4). 1253–1262. 22 indexed citations
12.
Yang, Weifeng, Xin Luan, Haitao Zhu, et al.. (2021). Fine mapping of two grain chalkiness QTLs sensitive to high temperature in rice. Rice. 14(1). 33–33. 41 indexed citations
13.
Luan, Xin, Xiaohui Li, Weifeng Yang, et al.. (2020). Substitution Mapping of the Major Quantitative Trait Loci Controlling Stigma Exsertion Rate from Oryza glumaepatula. Rice. 13(1). 37–37. 30 indexed citations
14.
Yang, Weifeng, Shuaipeng Ma, Xin Luan, et al.. (2020). Unconditional and conditional analysis of epistasis between tillering QTLs based on single segment substitution lines in rice. Scientific Reports. 10(1). 15912–15912. 10 indexed citations
15.
Ke, Shanwen, Xinjiang Liu, Xin Luan, et al.. (2018). Genome-wide transcriptome profiling provides insights into panicle development of rice (Oryza sativa L.). Gene. 675. 285–300. 14 indexed citations
16.
Feng, Xin, Shaofei Wang, Li Han, et al.. (2018). Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances. Journal of Visualized Experiments. 5 indexed citations
17.
Liu, Jiamei, et al.. (2017). Multiple similarly effective solutions exist for biomedical feature selection and classification problems. Scientific Reports. 7(1). 12830–12830. 20 indexed citations
18.
Yang, Weifeng, et al.. (2017). Analysis of landslide risk based on fuzzy extension analytic hierarchy process. Journal of Intelligent & Fuzzy Systems. 33(4). 2523–2531. 8 indexed citations
19.
Cheng, Lin, et al.. (2016). Strong field photoelectron holography studied by a generalized quantum-trajectory Monte Carlo method. Acta Physica Sinica. 65(22). 223207–223207. 5 indexed citations
20.
Yu, Zu‐Guo, et al.. (2015). Whole-proteome based phylogenetic tree construction with inter-amino-acid distances and the conditional geometric distribution profiles. Molecular Phylogenetics and Evolution. 89. 37–45. 14 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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