Bei Pei
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 10%
- Telomeres, Telomerase, and Senescence
Papers in
-
- Network Security and Intrusion Detection 6
- Caching and Content Delivery 5
- Software-Defined Networks and 5G 5
-
- Cryptography and Data Security 5
- Co-authors
- Lijun Wu (3 shared papers)Xiaowei Wang (4 shared papers)Dazhi Sun (4 shared papers)Jun Wu (8 shared papers)Jianhua Li (7 shared papers)Jingyu Xu (3 shared papers)Marie‐Josèphe Giraud‐Panis (2 shared papers)Marie‐Hélène Le Du (2 shared papers)
- Journals
- Frontiers in Medicine (2 papers)Frontiers in Oncology (2 papers)BMC Public Health (2 papers)Journal of Ambient Intelligence and Humanized Computing (1 paper)Radiation Research (1 paper)
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Bei Pei
53 papers receiving 834 citations
Peers
Comparison fields: 5 of 125
- Aging 92
- Physiology 226
- Molecular Biology 285
- Molecular Medicine 20
- Computer Networks and Communications 91
Countries citing papers authored by Bei Pei
This map shows the geographic impact of Bei Pei'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 Bei Pei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Pei more than expected).
Fields of papers citing papers by Bei Pei
This network shows the impact of papers produced by Bei Pei. 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 Bei Pei. The network helps show where Bei Pei may publish in the future.
Co-authors
The 25 scholars most cited alongside Bei Pei, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 119 | |
| 2 | 2019 | 63 | |
| 3 | 2011 | 60 | |
| 4 | 2007 | 56 | |
| 5 | 2013 | 54 | |
| 6 | 2018 | 54 | |
| 7 | 2007 | 45 | |
| 8 | 2010 | 34 | |
| 9 | 2017 | 32 | |
| 10 | 2012 | 32 | |
| 11 | 2019 | 24 | |
| 12 | 2015 | 21 | |
| 13 | 2008 | 21 | |
| 14 | 2020 | 19 | |
| 15 | 2016 | 16 | |
| 16 | 2022 | 15 | |
| 17 | 2021 | 13 | |
| 18 | 2008 | 13 | |
| 19 | 2016 | 12 | |
| 20 | 2024 | 11 |
About Bei Pei
Bei Pei is a scholar working on Computer Networks and Communications, Artificial Intelligence, Anesthesiology and Pain Medicine, Information Systems and Signal Processing, having authored 59 papers that have together received 854 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (6 papers), Caching and Content Delivery (5 papers), Cloud Data Security Solutions (5 papers), Cryptography and Data Security (5 papers), Advanced Malware Detection Techniques (5 papers), Software-Defined Networks and 5G (5 papers), Airway Management and Intubation Techniques (4 papers) and Cancer Treatment and Pharmacology (3 papers). The work is most often cited by research in Aging (92 citations), Physiology (226 citations), Molecular Biology (285 citations), Molecular Medicine (20 citations) and Computer Networks and Communications (91 citations). Bei Pei has collaborated with scholars based in China, France and United States. Frequent co-authors include Lijun Wu, Xiaowei Wang, Dazhi Sun, Jun Wu, Jianhua Li, Jingyu Xu, Marie‐Josèphe Giraud‐Panis, Marie‐Hélène Le Du, Haiying Hang and Shunchang Wang. Their work appears in journals such as Frontiers in Medicine, Frontiers in Oncology, BMC Public Health, Journal of Ambient Intelligence and Humanized Computing and Radiation Research.
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.