James C. Fu

2.8k citations
83 papers · 2.0k · h-index 22

Impact in

Papers in

    • Statistical Distribution Estimation and Applications 17
    • Statistical Methods and Inference 13
    • Statistical Methods and Bayesian Inference 11
    • Advanced Statistical Methods and Models 10
    • Bayesian Methods and Mixture Models 27

James C. Fu

79 papers receiving 1.9k citations

Peers

James C. Fu
Comparison fields: 5 of 103
  • Statistics and Probability 844
  • Statistics, Probability and Uncertainty 501
  • Safety, Risk, Reliability and Quality 569
  • Software 238
  • Management Science and Operations Research 327
Replace Markos V. Koutras with:
Markos V. Koutras Greece
Ilya Gertsbakh Israel
J. D. Esary United States
Henry W. Block United States
Jayaram Sethuraman United States
James Lynch United States
Serkan Eryılmaz Türkiye
Min‐Te Chao Taiwan
Majid Asadi Iran
Colm Art O’Cinneide United States
James C. Fu relative to Markos V. Koutras Greece Markos V. Koutras's profile →
Citations per field
00.5×1.5×
Markos V. Koutras · 1×
Citations per year

Countries citing papers authored by James C. Fu

Since Specialization
Citations

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

Fields of papers citing papers by James C. Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James C. Fu. 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 James C. Fu. The network helps show where James C. Fu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994301
2 1995170
3 2003144
4 1986116
5 2003115
6 198781
7 199460
8 198560
9 198956
10 199151
11 200249
12 200242
13 200241
14 200140
15 199139
16 200338
17 200134
18 200331
19 198228
20 198625

About James C. Fu

James C. Fu is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality, having authored 83 papers that have together received 2.0k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (27 papers), Statistical Distribution Estimation and Applications (17 papers), Statistical Methods and Inference (13 papers), Reliability and Maintenance Optimization (13 papers), Probability and Risk Models (12 papers), Statistical Methods and Bayesian Inference (11 papers), Advanced Statistical Methods and Models (10 papers) and Advanced Statistical Process Monitoring (10 papers). The work is most often cited by research in Statistics and Probability (844 citations), Statistics, Probability and Uncertainty (501 citations), Safety, Risk, Reliability and Quality (569 citations), Software (238 citations) and Management Science and Operations Research (327 citations). James C. Fu has collaborated with scholars based in Canada, United States and Taiwan. Frequent co-authors include Markos V. Koutras, Wendy Lou, Min‐Te Chao, Liqun Wang, Fred Spiring, Hansheng Xie, Galit Shmueli, Zhidong Bai, Zhensheng Zhang and Smiley W. Cheng. Their work appears in journals such as Journal of Applied Probability, Annals of the Institute of Statistical Mathematics, IEEE Transactions on Reliability, Advances in Applied Probability and The Annals of Statistics.

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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