Feiming Wang

42 papers receiving 642 citations

Hit Papers

Enhanced rice salinity tolerance via CRISPR/Cas9-targeted mutagenesis of the OsRR22 gene 2019 · 265 citations
265201920262021202350100150200250

Peers

Feiming Wang
Comparison fields: 5 of 81
  • Plant Science 375
  • Business and International Management 14
  • Aging 9
  • Genetics 116
  • Molecular Biology 258
Replace Fengzhu Wang with:
Fengzhu Wang China
Yuechao Wu China
Andréa Faust Germany
Sujata Nayak India
Rugang Chen China
Guangjun Ren China
Chunhui Xu China
Limei Zhao China
Feiming Wang relative to Fengzhu Wang China Fengzhu Wang's profile →
Citations per field
00.5×2.8×
Fengzhu Wang · 1×
Citations per year

Countries citing papers authored by Feiming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Feiming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Feiming Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Feiming Wang Line = papers co-authored together Feiming Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Enhanced rice salinity tolerance via CRISPR/Cas9-targeted mutagenesis of the OsRR22 gene
Hit paper breakdown →
2019265
2 202050
3 201241
4 201238
5 202132
6 201321
7 201920
8 201216
9 201715
10 202415
11 202311
12 202210
13 201610
14 20189
15 20219
16 20218
17 20138
18 20197
19 20226
20 20196

About Feiming Wang

Feiming Wang is a scholar working on General Engineering, Aging, Plant Science, Catalysis and Genetics, having authored 45 papers that have together received 656 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (13 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Vacuum and Plasma Arcs (8 papers), GABA and Rice Research (8 papers), High voltage insulation and dielectric phenomena (6 papers), Gear and Bearing Dynamics Analysis (5 papers), Electrical Fault Detection and Protection (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Plant Science (375 citations), Business and International Management (14 citations), Aging (9 citations), Genetics (116 citations) and Molecular Biology (258 citations). Feiming Wang has collaborated with scholars based in China, United States and Estonia. Frequent co-authors include Lijun Luo, Anning Zhang, Xinqiao Yu, Guolan Liu, Deyan Kong, Yi Liu, Junguo Bi, Fenyun Zhang, Xingxing Luo and Jiahong Wang. Their work appears in journals such as Tribology International, Molecular Breeding, Rice, The Journal of Engineering and Proceedings of the Institution of Mechanical Engineers Part K Journal of Multi-body Dynamics.

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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