Tsai‐Hung Fan

672 citations
44 papers · 458 indexed · h-index 14
Topics
Statistical Distribution Estimation and Applications (18 papers)Statistical Methods and Bayesian Inference (13 papers)Probabilistic and Robust Engineering Design (11 papers)

In The Last Decade

Tsai‐Hung Fan

36 papers receiving 440 citations

Peers

Tsai‐Hung Fan
Comparison fields: 5 of 79
  • Statistics and Probability 346
  • Statistics, Probability and Uncertainty 188
  • Safety, Risk, Reliability and Quality 153
  • Artificial Intelligence 80
  • Management Science and Operations Research 44
Replace S.K. Upadhyay with:
S.K. Upadhyay India
Han Ming China
M.A.W. Mahmoud Egypt
Michael J. LuValle United States
Catherine Huber‐Carol France
Laurent Bordes France
Mikhaïl Nikulin France
Firoozeh Haghighi Iran
Benjamin Epstein United States
Saad J. Almalki Saudi Arabia
Tsai‐Hung Fan relative to S.K. Upadhyay India S.K. Upadhyay's profile →
Citations per field
00.5×1.5×2.2×
S.K. Upadhyay · 1×
Citations per year

Countries citing papers authored by Tsai‐Hung Fan

Since Specialization
Citations

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

Fields of papers citing papers by Tsai‐Hung Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsai‐Hung Fan. 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 Tsai‐Hung Fan. The network helps show where Tsai‐Hung Fan may publish in the future.

Co-authorship network of co-authors of Tsai‐Hung Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Tsai‐Hung Fan. A scholar is included among the top collaborators of Tsai‐Hung Fan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tsai‐Hung Fan. Tsai‐Hung Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 7
6 6
7 0
8 13
9 4
10 23
11 1
12 32
13 1
14 16
15 10
16 2
17 2
18 8
19 0
20 4

About Tsai‐Hung Fan

Tsai‐Hung Fan is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality, having authored 44 papers that have together received 458 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (18 papers), Statistical Methods and Bayesian Inference (13 papers) and Probabilistic and Robust Engineering Design (11 papers). The work is most often cited by research in Statistics and Probability (346 citations), Statistics, Probability and Uncertainty (188 citations) and Safety, Risk, Reliability and Quality (153 citations). Tsai‐Hung Fan has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Wan‐Lun Wang, Chia‐Chen Chang, N. Balakrishnan, Yi‐Fu Wang, Takeshi Emura, Kuang‐Fu Cheng, Dennis K. J. Lin, Ralf A. Wilke, James O. Berger and Chen‐An Tsai. Their work appears in journals such as PLoS ONE, Statistics in Medicine and Computational Statistics & Data Analysis.

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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