Dejing Kong

31 papers receiving 919 citations

Peers

Dejing Kong
Comparison fields: 5 of 100
  • Safety, Risk, Reliability and Quality 203
  • Software 79
  • Statistics, Probability and Uncertainty 109
  • Statistics and Probability 94
  • Plant Science 395
Replace B. Wang with:
B. Wang China
Daniel Bumblauskas United States
Zhiming Wu China
Thomas Sloan United States
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Cong Shi United States
Nikolaos Mittas Greece
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Countries citing papers authored by Dejing Kong

Since Specialization
Citations

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

Fields of papers citing papers by Dejing Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dejing Kong, 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 Dejing Kong Line = papers co-authored together Dejing Kong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010373
2 201475
3 201966
4 201765
5 201661
6 201759
7 201747
8 201840
9 202034
10 201617
11 202017
12 201515
13 201811
14 20157
15 20166
16 20214
17 20144
18 20164
19
Using A Quality Based Analytic Hierarchy Process To Do Decision-making Analysis In Transportation
20104
20 20163

About Dejing Kong

Dejing Kong is a scholar working on Safety, Risk, Reliability and Quality, Statistics and Probability, Software, Management Science and Operations Research and Plant Science, having authored 36 papers that have together received 937 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (10 papers), Software Reliability and Analysis Research (7 papers), Statistical Distribution Estimation and Applications (6 papers), Multi-Criteria Decision Making (4 papers), Statistical Methods and Inference (3 papers), Risk and Safety Analysis (3 papers), Innovation and Knowledge Management (3 papers) and Electrical Fault Detection and Protection (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (203 citations), Software (79 citations), Statistics, Probability and Uncertainty (109 citations), Statistics and Probability (94 citations) and Plant Science (395 citations). Dejing Kong has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lirong Cui, Yingzhen Kong, Guang Qi, Qian Gao, Ruibo Hu, Gongke Zhou, Yuan Zhou, N. Balakrishnan, Fang Dong and Qingan Qiu. Their work appears in journals such as Quality Technology & Quantitative Management, Applied Sciences, Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability, Technological Forecasting and Social Change and Reliability Engineering & System Safety.

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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