Weiyong Ding
- Statistics and Probability top 2%
- Safety, Risk, Reliability and Quality top 2%
- Statistics, Probability and Uncertainty top 1%
- Software top 5%
- Control and Systems Engineering
- Topics
- Statistical Distribution Estimation and Applications (23 papers)Reliability and Maintenance Optimization (16 papers)Probabilistic and Robust Engineering Design (10 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintySafety, Risk, Reliability and Quality
- Journals
- Reliability Engineering & System SafetyComputers & Industrial EngineeringIEEE Transactions on Reliability
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Weiyong Ding
29 papers receiving 321 citations
Peers
Comparison fields: 5 of 32
- Statistics and Probability 231
- Safety, Risk, Reliability and Quality 202
- Statistics, Probability and Uncertainty 173
- Software 61
- Control and Systems Engineering 47
Countries citing papers authored by Weiyong Ding
This map shows the geographic impact of Weiyong Ding'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 Weiyong Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiyong Ding more than expected).
Fields of papers citing papers by Weiyong Ding
This network shows the impact of papers produced by Weiyong Ding. 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 Weiyong Ding. The network helps show where Weiyong Ding may publish in the future.
Co-authorship network of co-authors of Weiyong Ding
This figure shows the co-authorship network connecting the top 25 collaborators of Weiyong Ding. A scholar is included among the top collaborators of Weiyong Ding 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 Weiyong Ding. Weiyong Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 28 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 18 | |
| 11 | 2 | |
| 12 | 19 | |
| 13 | 22 | |
| 14 | 18 | |
| 15 | 1 | |
| 16 | 10 | |
| 17 | 5 | |
| 18 | 26 | |
| 19 | 45 | |
| 20 | 19 |
About Weiyong Ding
Weiyong Ding is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality, having authored 29 papers that have together received 327 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (23 papers), Reliability and Maintenance Optimization (16 papers) and Probabilistic and Robust Engineering Design (10 papers). The work is most often cited by research in Statistics and Probability (231 citations), Statistics, Probability and Uncertainty (173 citations) and Safety, Risk, Reliability and Quality (202 citations). Weiyong Ding has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaohu Li, Peng Zhao, Yiying Zhang, Gaofeng Da, Rui Fang, Maochao Xu, Peng Zhao, Yu Huang, Jiaxin Yang and Fengyi Song. Their work appears in journals such as Reliability Engineering & System Safety, Computers & Industrial Engineering and IEEE Transactions on Reliability.
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.