Weiyong Ding

402 citations
29 papers · 327 · h-index 12

Impact in

Papers in

Weiyong Ding

29 papers receiving 321 citations

Peers

Weiyong Ding
Comparison fields: 5 of 32
  • Statistics and Probability 231
  • Statistics, Probability and Uncertainty 173
  • Safety, Risk, Reliability and Quality 202
  • Software 61
  • Finance 32
Replace Ioannis S. Triantafyllou with:
Ioannis S. Triantafyllou Greece
Wolfgang Preuss Germany
Abdalla Abdel-Ghaly Egypt
K. Rosaiah India
Wagner de Souza Borges Brazil
Jacek Malinowski Poland
A. I. Shawky Saudi Arabia
Renu Garg India
Anthony A. Salvia United States
D.M. Rasmuson United States
Weiyong Ding relative to Ioannis S. Triantafyllou Greece Ioannis S. Triantafyllou's profile →
Citations per field
00.5×10.7×
Ioannis S. Triantafyllou · 1×
Citations per year

Countries citing papers authored by Weiyong Ding

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 12 scholars most cited alongside Weiyong Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Weiyong Ding Line = papers co-authored together Weiyong Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201045
2 202128
3 201226
4 201622
5 201019
6 201719
7 201818
8 201518
9 201217
10 201812
11 202012
12 202012
13 201711
14 201911
15 201310
16 20237
17 20217
18 20125
19 20195
20 20175

About Weiyong Ding

Weiyong Ding is a scholar working on Statistics and Probability, Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty, Finance and Management Science and Operations Research, 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), Probabilistic and Robust Engineering Design (10 papers), Software Reliability and Analysis Research (5 papers), Financial Risk and Volatility Modeling (5 papers), Advanced Statistical Process Monitoring (4 papers), Probability and Risk Models (4 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Statistics and Probability (231 citations), Statistics, Probability and Uncertainty (173 citations), Safety, Risk, Reliability and Quality (202 citations), Software (61 citations) and Finance (32 citations). Weiyong Ding has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaohu Li, Peng Zhao, Yiying Zhang, Gaofeng Da, Rui Fang, Maochao Xu, Yu Huang, Peng Zhao, Jiaxin Yang and Fengyi Song. Their work appears in journals such as Probability in the Engineering and Informational Sciences, Reliability Engineering & System Safety, Naval Research Logistics (NRL), IEEE Transactions on Reliability and Journal of Applied Probability.

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.

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