Bing Xing Wang
- Statistics and Probability top 0.5%
- Statistics, Probability and Uncertainty top 0.2%
- Safety, Risk, Reliability and Quality top 0.5%
- Management Science and Operations Research top 5%
- Mechanics of Materials top 10%
- Co-authors
- Keming YuYili HongZhi‐Sheng YeAncha XuYincai TangLijuan ShenJun ZhouMin Xie
- Topics
- Statistical Distribution Estimation and Applications (34 papers)Probabilistic and Robust Engineering Design (24 papers)Reliability and Maintenance Optimization (23 papers)
- Cited by
- Statistics, Probability and UncertaintyStatistics and ProbabilitySafety, Risk, Reliability and Quality
- Journals
- TechnometricsEuropean Journal of Operational ResearchInternational Journal of Production Research
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Bing Xing Wang
62 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 73
- Statistics and Probability 627
- Statistics, Probability and Uncertainty 603
- Safety, Risk, Reliability and Quality 453
- Management Science and Operations Research 103
- Mechanics of Materials 95
Countries citing papers authored by Bing Xing Wang
This map shows the geographic impact of Bing Xing 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 Bing Xing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Xing Wang more than expected).
Fields of papers citing papers by Bing Xing Wang
This network shows the impact of papers produced by Bing Xing 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 Bing Xing Wang. The network helps show where Bing Xing Wang may publish in the future.
Co-authorship network of co-authors of Bing Xing Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Bing Xing Wang. A scholar is included among the top collaborators of Bing Xing Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bing Xing Wang. Bing Xing Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 2 | |
| 3 | 21 | |
| 4 | 9 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 18 | |
| 9 | 3 | |
| 10 | 47 | |
| 11 | 34 | |
| 12 | 31 | |
| 13 | 14 | |
| 14 | 8 | |
| 15 | 10 | |
| 16 | 11 | |
| 17 | 38 | |
| 18 | 12 | |
| 19 | 1 | |
| 20 | 32 |
About Bing Xing Wang
Bing Xing Wang is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Safety, Risk, Reliability and Quality, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (34 papers), Probabilistic and Robust Engineering Design (24 papers) and Reliability and Maintenance Optimization (23 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (603 citations), Statistics and Probability (627 citations) and Safety, Risk, Reliability and Quality (453 citations). Bing Xing Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Keming Yu, Yili Hong, Zhi‐Sheng Ye, Ancha Xu, Yincai Tang, Lijuan Shen, Jun Zhou, Min Xie, M. C. Jones and Xiaofei Wang. Their work appears in journals such as Technometrics, European Journal of Operational Research and International Journal of Production 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.