Bei Wu
Impact in
- Software top 2%
- Software Reliability and Analysis Research
-
- Reliability and Maintenance Optimization
Papers in
-
- Reliability and Maintenance Optimization 28
- Power System Reliability and Maintenance 4
- Software 20
- Software Reliability and Analysis Research 20
- Co-authors
- Lirong Cui (15 shared papers)Qingan Qiu (2 shared papers)Ada Che (3 shared papers)Nikolaos Limnios (3 shared papers)Jian Zhou (1 shared paper)Sijun Bai (2 shared papers)Yan Zhang (1 shared paper)Jianhui Chen (1 shared paper)
In The Last Decade
Bei Wu
40 papers receiving 687 citations
Peers
Comparison fields: 5 of 59
- Software 255
- Safety, Risk, Reliability and Quality 493
- Statistics, Probability and Uncertainty 306
- Statistics and Probability 96
- Automotive Engineering 69
Countries citing papers authored by Bei Wu
This map shows the geographic impact of Bei Wu'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 Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Wu more than expected).
Fields of papers citing papers by Bei Wu
This network shows the impact of papers produced by Bei Wu. 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 Wu. The network helps show where Bei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bei Wu, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 106 | |
| 2 | 2006 | 44 | |
| 3 | 2023 | 40 | |
| 4 | 2021 | 40 | |
| 5 | 2019 | 38 | |
| 6 | 2018 | 30 | |
| 7 | 2020 | 28 | |
| 8 | 2017 | 24 | |
| 9 | 2021 | 24 | |
| 10 | 2021 | 23 | |
| 11 | 2024 | 22 | |
| 12 | 2022 | 21 | |
| 13 | 2020 | 21 | |
| 14 | 2019 | 20 | |
| 15 | 2020 | 20 | |
| 16 | 2021 | 19 | |
| 17 | 2021 | 18 | |
| 18 | 2008 | 16 | |
| 19 | 2022 | 16 | |
| 20 | 2024 | 15 |
About Bei Wu
Bei Wu is a scholar working on Safety, Risk, Reliability and Quality, Software, Statistics, Probability and Uncertainty, Statistics and Probability and Electrical and Electronic Engineering, having authored 47 papers that have together received 703 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (28 papers), Software Reliability and Analysis Research (20 papers), Risk and Safety Analysis (16 papers), Statistical Distribution Estimation and Applications (6 papers), Advanced Battery Technologies Research (5 papers), Infrastructure Resilience and Vulnerability Analysis (4 papers), Access Control and Trust (4 papers) and Power System Reliability and Maintenance (4 papers). The work is most often cited by research in Software (255 citations), Safety, Risk, Reliability and Quality (493 citations), Statistics, Probability and Uncertainty (306 citations), Statistics and Probability (96 citations) and Automotive Engineering (69 citations). Bei Wu has collaborated with scholars based in China, France and Hong Kong. Frequent co-authors include Lirong Cui, Qingan Qiu, Ada Che, Nikolaos Limnios, Jian Zhou, Sijun Bai, Yan Zhang, Jianhui Chen, Chi Chen and Jun Zhang. Their work appears in journals such as Reliability Engineering & System Safety, Computers & Industrial Engineering, Applied Mathematical Modelling, Naval Research Logistics (NRL) and Journal of the Operational Research Society.
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.