Peifeng Wang

1.6k citations
67 papers · 1.0k · h-index 18

Impact in

Papers in

    • Solid State Laser Technologies 6
    • Advancements in Battery Materials 6
    • Electrical Fault Detection and Protection 5
    • Advanced Battery Materials and Technologies 5
    • Semiconductor Lasers and Optical Devices 4
    • Topic Modeling 7
    • Natural Language Processing Techniques 5

Peifeng Wang

58 papers receiving 990 citations

Peers

Peifeng Wang
Comparison fields: 5 of 117
  • Artificial Intelligence 344
  • Electronic, Optical and Magnetic Materials 87
  • Automotive Engineering 52
  • Cancer Research 60
  • Computer Vision and Pattern Recognition 79
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Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Peifeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Peifeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peifeng 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 Peifeng Wang Line = papers co-authored together Peifeng Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020140
2 2020114
3 201985
4 201866
5 202058
6
The XRCC1 399Gln polymorphism and the frequency of p53 mutations in Taiwanese oral squamous cell carcinomas.
200351
7 201544
8 202043
9 200440
10 201538
11 200332
12 201724
13 201424
14 202323
15 200121
16 202121
17 201821
18 201617
19 202114
20 201813

About Peifeng Wang

Peifeng Wang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Astronomy and Astrophysics, Aerospace Engineering and Electronic, Optical and Magnetic Materials, having authored 67 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lightning and Electromagnetic Phenomena (7 papers), Topic Modeling (7 papers), Solid State Laser Technologies (6 papers), Advancements in Battery Materials (6 papers), Electrical Fault Detection and Protection (5 papers), Advanced Battery Materials and Technologies (5 papers), Natural Language Processing Techniques (5 papers) and Semiconductor Lasers and Optical Devices (4 papers). The work is most often cited by research in Artificial Intelligence (344 citations), Electronic, Optical and Magnetic Materials (87 citations), Automotive Engineering (52 citations), Cancer Research (60 citations) and Computer Vision and Pattern Recognition (79 citations). Peifeng Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Rong Pan, Xiang Ren, Jialong Han, Shuangyin Li, Chenliang Li, Jun Yan, Xinyue Chen, Bill Yuchen Lin, Rui Yang and Yushen Jin. Their work appears in journals such as Ceramics International, Electric Power Systems Research, New Journal of Physics, IEEE Transactions on Power Delivery and Journal of Geophysical Research Solid Earth.

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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