Long Ding

18 papers and 410 indexed citations i.

About

Long Ding is a scholar working on Statistics, Probability and Uncertainty, Radiological and Ultrasound Technology and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Long Ding has authored 18 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics, Probability and Uncertainty, 11 papers in Radiological and Ultrasound Technology and 10 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Long Ding’s work include Risk and Safety Analysis (16 papers), Occupational Health and Safety Research (11 papers) and Fire dynamics and safety research (5 papers). Long Ding is often cited by papers focused on Risk and Safety Analysis (16 papers), Occupational Health and Safety Research (11 papers) and Fire dynamics and safety research (5 papers). Long Ding collaborates with scholars based in China, Canada and United States. Long Ding's co-authors include Faisal Khan, Jie Ji, Xiaoxue Guo, Jie Ji, Xiao‐Hua Li, Valerio Cozzani, Jiping Zhu, Jiping Zhu, Liangzhu Wang and Haowei Hu and has published in prestigious journals such as Reliability Engineering & System Safety, Risk Analysis and Safety Science.

In The Last Decade

Co-authorship network of co-authors of Long Ding i

Fields of papers citing papers by Long Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long 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 Long Ding. The network helps show where Long Ding may publish in the future.

Countries citing papers authored by Long Ding

Since Specialization
Citations

This map shows the geographic impact of Long 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 Long Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Ding more than expected).

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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2025