Peng Yan
Impact in
- Dermatology top 5%
- Acne and Rosacea Treatments and Effects
- Dermatology and Skin Diseases
- Dermatologic Treatments and Research
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- Dermatological diseases and infestations
Papers in
-
- Image and Video Quality Assessment 6
- Advanced Image Processing Techniques 4
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- Biosensors and Analytical Detection 5
- Co-authors
- Yayan Wu (6 shared papers)Yanhua Dong (3 shared papers)Tao Fu (4 shared papers)Xuanqin Mou (6 shared papers)Li Wu (1 shared paper)Yae Zhao (1 shared paper)Kai Wang (1 shared paper)Bing Wang (1 shared paper)
- Journals
- ACS Sensors (1 paper)Measurement (1 paper)Enterprise Information Systems (1 paper)Analytical Chemistry (1 paper)Wear (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Peng Yan
31 papers receiving 414 citations
Peers
Comparison fields: 5 of 102
- Dermatology 139
- Infectious Diseases 83
- Biomedical Engineering 116
- Molecular Biology 122
- Immunology and Allergy 10
Countries citing papers authored by Peng Yan
This map shows the geographic impact of Peng Yan'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 Peng Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Yan more than expected).
Fields of papers citing papers by Peng Yan
This network shows the impact of papers produced by Peng Yan. 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 Peng Yan. The network helps show where Peng Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 96 | |
| 2 | 2019 | 76 | |
| 3 | 2011 | 59 | |
| 4 | 2018 | 33 | |
| 5 | 2021 | 32 | |
| 6 | 2019 | 24 | |
| 7 | 2019 | 17 | |
| 8 | 2023 | 15 | |
| 9 | 2015 | 9 | |
| 10 | 2018 | 9 | |
| 11 | 2015 | 7 | |
| 12 | 2018 | 7 | |
| 13 | 1993 | 6 | |
| 14 | 2010 | 5 | |
| 15 | 2012 | 5 | |
| 16 | A study on veneer recovery ratio and value of eucalypt clones. | 2010 | 4 |
| 17 | 2014 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2016 | 2 |
About Peng Yan
Peng Yan is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Electrical and Electronic Engineering, Molecular Biology and Media Technology, having authored 36 papers that have together received 430 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (6 papers), Biosensors and Analytical Detection (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Advanced Image Fusion Techniques (5 papers), Advanced Image Processing Techniques (4 papers), Electrochemical sensors and biosensors (2 papers), Plant nutrient uptake and metabolism (2 papers) and Advanced Measurement and Detection Methods (2 papers). The work is most often cited by research in Dermatology (139 citations), Infectious Diseases (83 citations), Biomedical Engineering (116 citations), Molecular Biology (122 citations) and Immunology and Allergy (10 citations). Peng Yan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yayan Wu, Yanhua Dong, Tao Fu, Xuanqin Mou, Li Wu, Yae Zhao, Kai Wang, Bing Wang, Xianglan Wang and Bingyu Li. Their work appears in journals such as ACS Sensors, Measurement, Enterprise Information Systems, Analytical Chemistry and Wear.
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.