K.-T. Fang

1.9k total citations · 2 hit papers
4 papers, 1.4k citations indexed

About

K.-T. Fang is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, K.-T. Fang has authored 4 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Numerical Analysis, 1 paper in Computational Theory and Mathematics and 0 papers in Infectious Diseases. Recurrent topics in K.-T. Fang's work include Advanced Multi-Objective Optimization Algorithms (1 paper) and Mathematical Approximation and Integration (1 paper). K.-T. Fang is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (1 paper) and Mathematical Approximation and Integration (1 paper). K.-T. Fang collaborates with scholars based in . K.-T. Fang's co-authors include B. D. Ripley, Agus Sudjianto, Harald Niederreiter and Fred J. Hickernell and has published in prestigious journals such as Journal of the Royal Statistical Society Series A (Statistics in Society), DIAL (Catholic University of Leuven) and Medical Entomology and Zoology.

In The Last Decade

K.-T. Fang

4 papers receiving 1.3k citations

Hit Papers

Number-Theoretic Methods in Statistics. 1995 2026 2005 2015 1995 2005 100 200 300 400

Peers

K.-T. Fang
Comparison fields: 5 of 118
  • Computational Theory and Mathematics 443
  • Management Science and Operations Research 414
  • Statistics and Probability 371
  • Statistics, Probability and Uncertainty 335
  • Artificial Intelligence 246
Replace Johannes Ø. Røyset with:
Johannes Ø. Røyset United States
Lih‐Yuan Deng United States
Christos Koukouvinos Greece
Jörg Fliege United Kingdom
Peter Z. G. Qian United States
J. Sacks United States
B.E. Stuckman United States
Juan Pablo Vielma United States
M.G. Singh United Kingdom
C.D. Perttunen United States
Johannes Ø. Røyset United States View profile →
Citations per field, relative to K.-T. Fang
K.-T. Fang · 1×
Citations per year, relative to K.-T. Fang
K.-T. Fang · 1×

Countries citing papers authored by K.-T. Fang

Since Specialization
Citations

This map shows the geographic impact of K.-T. Fang'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 K.-T. Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K.-T. Fang more than expected).

Fields of papers citing papers by K.-T. Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.-T. Fang. 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 K.-T. Fang. The network helps show where K.-T. Fang may publish in the future.

Co-authorship network of co-authors of K.-T. Fang

This figure shows the co-authorship network connecting the top 25 collaborators of K.-T. Fang. A scholar is included among the top collaborators of K.-T. Fang 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 K.-T. Fang. K.-T. Fang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
# Work Indexed citations
1
Design and Modeling for Computer Experiments breakdown →
458
2 10
3
Number-Theoretic Methods in Statistics. breakdown →
490
4
Generalized Multivariate Analysis
412

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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