Jong‐Wuu Wu

1.4k citations
67 papers · 1.2k · h-index 22

Impact in

Papers in

Jong‐Wuu Wu

61 papers receiving 1.2k citations

Peers

Jong‐Wuu Wu
Comparison fields: 5 of 82
  • Statistics and Probability 778
  • Statistics, Probability and Uncertainty 551
  • Management Science and Operations Research 386
  • Safety, Risk, Reliability and Quality 210
  • Management Information Systems 181
Replace Erwin Straub with:
Erwin Straub Switzerland
S. N. U. A. Kirmani United States
Russell A. Boyles United States
Amitava Mukherjee India
Jie Mi United States
Rong Gao China
Hamidreza Seiti Iran
Ji Hwan South Korea
Majid Asadi Iran
Shun‐Chen Niu United States
Jong‐Wuu Wu relative to Erwin Straub Switzerland Erwin Straub's profile →
Citations per field
00.5×2×4×5.7×
Erwin Straub · 1×
Citations per year

Countries citing papers authored by Jong‐Wuu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jong‐Wuu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong‐Wuu Wu. 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 Jong‐Wuu Wu. The network helps show where Jong‐Wuu Wu may publish in the future.

Co-authors

The 15 scholars most cited alongside Jong‐Wuu Wu, 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 Jong‐Wuu Wu Line = papers co-authored together Jong‐Wuu Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002217
2 200964
3 200354
4 201053
5 200351
6 200543
7 200741
8 200139
9 200639
10 200437
11 200133
12 200133
13 200832
14 200731
15 199930
16 200028
17 201328
18 200426
19 200726
20 200924

About Jong‐Wuu Wu

Jong‐Wuu Wu is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Management Science and Operations Research, Management Information Systems and Artificial Intelligence, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (36 papers), Advanced Statistical Process Monitoring (19 papers), Probabilistic and Robust Engineering Design (16 papers), Advanced Statistical Methods and Models (12 papers), Supply Chain and Inventory Management (11 papers), Bayesian Methods and Mixture Models (9 papers), Fuzzy Systems and Optimization (7 papers) and Multi-Criteria Decision Making (7 papers). The work is most often cited by research in Statistics and Probability (778 citations), Statistics, Probability and Uncertainty (551 citations), Management Science and Operations Research (386 citations), Safety, Risk, Reliability and Quality (210 citations) and Management Information Systems (181 citations). Jong‐Wuu Wu has collaborated with scholars based in Taiwan, Cyprus and Australia. Frequent co-authors include Wen‐Liang Hung, Wen‐Chuan Lee, Ching‐Hsue Cheng, Hai‐Lin Lu, Liang‐Yuh Ouyang, Tzong‐Ru Tsai, Anthony G. Pakes, Liang-Sian Lin, Chun‐Hsien Wu and Bertram Tan. Their work appears in journals such as Applied Mathematics and Computation, Quality & Quantity, Statistical Papers, International Journal of Systems Science and Quality and Reliability Engineering International.

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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