Peifeng Wang

1.6k citations
68 papers · 1.1k · h-index 18

Impact in

Papers in

    • Advancements in Battery Materials 6
    • Solid State Laser Technologies 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

61 papers receiving 1.1k citations

Peers

Peifeng Wang
Comparison fields: 5 of 118
  • Artificial Intelligence 394
  • Electronic, Optical and Magnetic Materials 92
  • Computer Vision and Pattern Recognition 95
  • Automotive Engineering 53
  • Periodontics 16
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Kun‐Huang Chen Taiwan
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Citations per field
00.5×1.5×1.8×
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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 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020143
2 2020135
3 201998
4 201880
5 202060
6
The XRCC1 399Gln polymorphism and the frequency of p53 mutations in Taiwanese oral squamous cell carcinomas.
200354
7 202048
8 201547
9 200444
10 201541
11 200337
12 201426
13 201726
14 202325
15 202124
16 200121
17 201821
18 201618
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 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Lightning and Electromagnetic Phenomena (7 papers), Advancements in Battery Materials (6 papers), Solid State Laser Technologies (6 papers), Natural Language Processing Techniques (5 papers), Electrical Fault Detection and Protection (5 papers), Advanced Battery Materials and Technologies (5 papers) and Semiconductor Lasers and Optical Devices (4 papers). The work is most often cited by research in Artificial Intelligence (394 citations), Electronic, Optical and Magnetic Materials (92 citations), Computer Vision and Pattern Recognition (95 citations), Automotive Engineering (53 citations) and Periodontics (16 citations). Peifeng Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Rong Pan, Xiang Ren, Shuangyin Li, Jialong Han, Chenliang Li, Bill Yuchen Lin, Jun Yan, Xinyue Chen, Rui Yang and Chihua Fang. 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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