Fu‐Kwun Wang

5.2k citations
173 papers · 4.0k indexed · h-index 34

Impact in

Papers in

Fu‐Kwun Wang

170 papers receiving 3.8k citations

Peers

Fu‐Kwun Wang
Comparison fields: 5 of 146
  • Statistics, Probability and Uncertainty 1.3k
  • Statistics and Probability 958
  • Industrial and Manufacturing Engineering 872
  • Management Science and Operations Research 847
  • Management Information Systems 591
Replace Loon Ching Tang with:
Loon Ching Tang Singapore
Mohammad Modarres United States
Zhen He China
W. L. Pearn Taiwan
Babak Abbasi Australia
Kailash C. Kapur United States
Daoud Aït‐Kadi Canada
Ming‐Hung Shu Taiwan
T. N. Goh Singapore
Mustapha Nourelfath Canada
Fu‐Kwun Wang relative to Loon Ching Tang Singapore Loon Ching Tang's profile →
Citations per field
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Loon Ching Tang · 1×
Citations per year

Countries citing papers authored by Fu‐Kwun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fu‐Kwun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 202320
4 202313
5 202319
6 202316
7 202218
8 2022111
9 202220
10 202116
11 202115
12 202052
13 202017
14 202043
15 201974
16 20197
17 20186
18 201618
19 20154
20 20141

About Fu‐Kwun Wang

Fu‐Kwun Wang is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Management Science and Operations Research, Industrial and Manufacturing Engineering and Medical Laboratory Technology, having authored 173 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (72 papers), Optimal Experimental Design Methods (38 papers), Advanced Statistical Methods and Models (37 papers), Scientific Measurement and Uncertainty Evaluation (29 papers), Reliability and Maintenance Optimization (22 papers), Statistical Distribution Estimation and Applications (20 papers), Advanced Battery Technologies Research (20 papers) and Quality and Supply Management (18 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.3k citations), Statistics and Probability (958 citations), Industrial and Manufacturing Engineering (872 citations), Management Science and Operations Research (847 citations) and Management Information Systems (591 citations). Fu‐Kwun Wang has collaborated with scholars based in Taiwan, United States and Ethiopia. Frequent co-authors include Timon C. Du, Tadele Mamo, J. Lin, J. Bert Keats, Jia‐Hong Chou, W. J. Zimmer, Gwo‐Hshiung Tzeng, Chia‐Wei Hsu, Jonah Tyan and James C. Chen. Their work appears in journals such as Quality and Reliability Engineering International, International Journal of Production Research, Total Quality Management & Business Excellence, Quality Technology & Quantitative Management and Energy.

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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