2026 Fan Chung: Mathematics Researcher – H-Index, Publications & Awards

D-Index & Metrics

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	85	791	762	430	412	313	36096
Mathematics	85	105	85	58	44	329	36239

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

791

762

430

412

313

36096

Mathematics

105

329

36239

Computer Science

D-Index

Citations

36096

World Ranking

791

National Ranking

430

Mathematics

D-Index

Citations

36239

World Ranking

105

National Ranking

Research.com Recognitions

2026 - Research.com Mathematics in United States Leader Award
2025 - Research.com Mathematics in United States Leader Award
2015 - SIAM Fellow For contributions to combinatorics, graph theory, and their applications.
2013 - Fellow of the American Mathematical Society
1998 - Fellow of the American Academy of Arts and Sciences

Overview

Fan Chung is affiliated with the University of California, San Diego in the United States. Their research spans multiple aspects of mathematics and computer science, focusing primarily on combinatorics, graph theory, and related applications.

Their recent publications include the following papers:

"Forest formulas of discrete Green's functions", 2022, Journal of Graph Theory
"Fan-complete Ramsey numbers", 2022, arXiv (Cornell University)
"(Cryo-) Electron Microscopy Workflows of Interactions between Airborne Pollution Particles and Nasal Epithelial Cells", 2022, Microscopy and Microanalysis
"Quasi-Random Influences of Boolean Functions", 2022, arXiv (Cornell University)
"Forest formulas of discrete Green's functions", 2021, arXiv (Cornell University)

Frequent coauthors of Fan Chung include:

Nicholas Sieger
Ji Zeng
Qizhong Lin
Victoria Garcia Giner
Sharon Mumby

Their work has been published in venues such as:

arXiv (Cornell University)
Journal of Graph Theory
Microscopy and Microanalysis
The Electronic Journal of Combinatorics
Open Access Government

Fan Chung's main fields of study include Mathematics and Computer Science, with particular focus on several subfields:

Statistical and Nonlinear Physics
Geometry and Topology
Computational Theory and Mathematics
Discrete Mathematics and Combinatorics
Computer Networks and Communications

Their research interests cover the following main topics:

Complex Network Analysis Techniques
Graph theory and applications
Limits and Structures in Graph Theory
Topological and Geometric Data Analysis
Advanced Graph Theory Research
Opinion Dynamics and Social Influence
Stochastic processes and statistical mechanics

Fan Chung has received multiple honors acknowledging contributions to their fields:

SIAM Fellow, 2015, recognized for contributions to combinatorics, graph theory, and their applications
Fellow of the American Mathematical Society, 2013
Fellow of the American Academy of Arts and Sciences, 1998

Best Publications

Spectral Graph Theory

Fan R K Chung

6319
Citations
Spectral grouping using the Nystrom method

C. Fowlkes;S. Belongie;F. Chung;J. Malik

1840
Citations
Optical orthogonal codes: design, analysis, and applications

F. R. K. Chung;J. A. Salehi;V. K. Wei

1494
Citations
The average distances in random graphs with given expected degrees

Fan Chung;Linyuan Lu

1408
Citations
Local Graph Partitioning using PageRank Vectors

R. Andersen;Fan Chung;K. Lang

1395
Citations
A random graph model for massive graphs

William Aiello;Fan Chung;Linyuan Lu

1310
Citations
Connected Components in Random Graphs with Given Expected Degree Sequences

Fan Chung;Linyuan Lu

1226
Citations
Complex Graphs and Networks

Fan Chung;Linyuan Lu

998
Citations
Laplacians and the Cheeger Inequality for Directed Graphs

Fan Chung

801
Citations
The Spectra of Random Graphs with Given Expected Degrees

Fan R. K. Chung;Linyuan Lu;Van H. Vu

748
Citations
Spectra of random graphs with given expected degrees

Fan Chung;Linyuan Lu;Van Vu

664
Citations
A random graph model for power law graphs

William Aiello;Fan Chung;Linyuan Lu

602
Citations
Quasi-random graphs

Fan R. K. Chung;Ronald L. Graham;Richard M. Wilson

596
Citations
Concentration Inequalities and Martingale Inequalities: A Survey

Fan R. K. Chung;Lincoln Lu

491
Citations
The Average Distance in a Random Graph with Given Expected Degrees

Fan R. K. Chung;Linyuan Lu

476
Citations
Duplication models for biological networks.

Fan R. K. Chung;Linyuan Lu;T. Gregory Dewey;David J. Galas

453
Citations
Explicit construction of linear sized tolerant networks

N. Alon;F. R. K. Chung

428
Citations
Diameters and eigenvalues

F. R. K. Chung

384
Citations
The heat kernel as the pagerank of a graph

Fan Chung

375
Citations
Embedding graphs in books: a layout problem with applications to VLSI design

F. R. K. Chung;F. T. Leighton;A. L. Rosenberg

361
Citations

Frequent Co-Authors

Ron Graham University of California, San Diego

Linyuan Lu University of South Carolina

Arnold L. Rosenberg University of Massachusetts Amherst

Shing-Tung Yau Tsinghua University

Paul Erdös Hungarian Academy of Sciences

William Aiello University of British Columbia

Persi Diaconis Stanford University

Michael Randolph Garey Nokia (United States)

Alexander Grigor'yan Bielefeld University

Jawad A. Salehi Sharif University of Technology

External Links

Wikipedia of Fan Chung Personal website of Fan Chung Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

For students studying Mathematics in the USA, understanding related online degrees can expand career opportunities significantly. Many graduates leverage their analytical skills to pursue fields like finance, business, and marketing, where quantitative expertise is highly valued.

One popular option is pursuing one of the best online masters in finance. These programs build strong foundations in financial theory, modeling, and risk management, making them ideal for math majors looking to enter financial analysis or investment banking.

For those seeking a broader business perspective, accelerated online MBA programs offer a way to earn a degree quickly without pausing professional growth. Graduates gain leadership and strategic skills that complement their mathematical background, opening doors to management roles.

Additionally, a master's degree in marketing is another viable pathway. Math skills enhance understanding of data analytics and market research, which are critical in today’s data-driven marketing strategies.

Finally, for those focused on efficiency, the best 1 year MBA programs provide accelerated routes to earn credentials that can boost career trajectories, blending well with a mathematics foundation.