Yanjun Wang

30 papers receiving 312 citations

Peers

Yanjun Wang
Comparison fields: 5 of 92
  • Statistics, Probability and Uncertainty 52
  • Management Science and Operations Research 87
  • Chemical Health and Safety 3
  • Environmental Engineering 53
  • Medical Laboratory Technology 5
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Changlin Xu China
Zhe Yang China
Xuemei Shi China
Subhash Chandra Panja India
Markus Hartikainen Finland
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Citations per field
00.5×2.5×
Changlin Xu · 1×
Citations per year

Countries citing papers authored by Yanjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yanjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yanjun Wang, 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 Yanjun Wang Line = papers co-authored together Yanjun Wang 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 201986
2 200635
3 202322
4 200320
5 202218
6 202111
7 201010
8 200210
9 20189
10 20089
11 20219
12 20218
13 20228
14 20178
15 20218
16 20227
17 20216
18
Development of a computer-aided fault tree synthesis methodology for quantitative risk analysis in the chemical process industry
20056
19 20245
20 20224

About Yanjun Wang

Yanjun Wang is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Control and Systems Engineering, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 36 papers that have together received 326 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (14 papers), Risk and Safety Analysis (5 papers), Facility Location and Emergency Management (5 papers), Rough Sets and Fuzzy Logic (5 papers), Optimization and Mathematical Programming (5 papers), Bayesian Modeling and Causal Inference (3 papers), Optimization and Variational Analysis (2 papers) and Chemical Safety and Risk Management (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (52 citations), Management Science and Operations Research (87 citations), Chemical Health and Safety (3 citations), Environmental Engineering (53 citations) and Medical Laboratory Technology (5 citations). Yanjun Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xiaoxuan Hu, Lidong Wang, Ning Wang, Quan Qiu, Wei Xia, Bin Li, He Bai, Na Sun, M. Sam Mannan and Bing Yan. Their work appears in journals such as Symmetry, International Journal of Machine Learning and Cybernetics, Soft Computing, Expert Systems with Applications and Journal of Medicinal Chemistry.

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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