2026 Glenn Fung: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	37	10505	10209	4399	4216	142	9276

Glenn Fung publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Glenn Fung sits on this spectrum.

32 publications 991+

This scientist: 142 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Glenn Fung D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Glenn Fung sits on this spectrum.

30 D-Index 131+

This scientist: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Glenn Fung is affiliated with American Family Insurance in the United States. Their research primarily focuses on computer science, with significant contributions in artificial intelligence, computer vision and pattern recognition, computational mechanics, computational theory and mathematics, and statistical and nonlinear physics.

The scientist's research encompasses a variety of topics including:

Topic Modeling
Natural Language Processing Techniques
Text and Document Classification Technologies
Machine Learning and Data Classification
Insurance and Financial Risk Management
Anomaly Detection Techniques and Applications
Image and Object Detection Techniques

Among Glenn Fung's recent papers are the following works:

Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention (2021), published in arXiv (Cornell University)
Designing and Deploying Insurance Recommender Systems Using Machine Learning (2020), published in Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
Task-Optimized Word Embeddings for Text Classification Representations (2020), published in Frontiers in Applied Mathematics and Statistics
Simplicial 2-Complex Convolutional Neural Nets (2020), published in arXiv (Cornell University)
Assessing Hail Risk for Property Insurers with a Dependent Marked Point Process (2021), published in Journal of the Royal Statistical Society Series A (Statistics in Society)

Frequent co-authors collaborating with Glenn Fung include:

Eric Bunch
Jeffery Kline
Teja Kanchinadam
Daniel J. Dickinson
Qian You

The scientist frequently publishes in venues such as:

arXiv (Cornell University)
Frontiers in Applied Mathematics and Statistics
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
Journal of the Royal Statistical Society Series A (Statistics in Society)
Proceedings of the AAAI Conference on Artificial Intelligence

Glenn Fung's work addresses both foundational and applied aspects of machine learning, with applications extending to insurance and financial risk management. Their publications reflect an interdisciplinary approach, spanning technical innovations in natural language processing, classification technologies, and novel algorithms for image analysis and anomaly detection.

Best Publications

Multicategory Proximal Support Vector Machine Classifiers

Glenn M. Fung;O. L. Mangasarian

1395
Citations
Proximal support vector machine classifiers

Glenn Fung;Olvi L. Mangasarian

1191
Citations
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches

Mark Schmidt;Glenn Fung;Rómer Rosales

459
Citations
A Feature Selection Newton Method for Support Vector Machine Classification

Glenn M. Fung;O. L. Mangasarian

388
Citations
Active Learning from Crowds

Yan Yan;Glenn M. Fung;R mer Rosales;Jennifer G. Dy

371
Citations
Semi-superyised support vector machines for unlabeled data classification

Glenn Fung;O. L. Mangasarian

303
Citations
Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention

Yunyang Xiong;Zhanpeng Zeng;Rudrasis Chakraborty;Mingxing Tan

279
Citations
On the dangers of cross-validation. An experimental evaluation

R. Bharat Rao;Glenn Fung

273
Citations
SVM feature selection for classification of SPECT images of Alzheimer's disease using spatial information

J. Stoeckel;G. Fung

255
Citations
Knowledge-Based Support Vector Machine Classifiers

Glenn M. Fung;Olvi L. Mangasarian;Jude W. Shavlik

245
Citations
Modeling annotator expertise: Learning when everybody knows a bit of something

Yan Yan;Rómer Rosales;Glenn Fung;Mark W. Schmidt

241
Citations
Incremental Support Vector Machine Classification.

Glenn Fung;Olvi L. Mangasarian

218
Citations
Rule extraction from linear support vector machines

Glenn Fung;Sathyakama Sandilya;R. Bharat Rao

215
Citations
Learning from multiple annotators with varying expertise

Yan Yan;Rómer Rosales;Glenn Fung;Ramanathan Subramanian

203
Citations
Systems and methods for automated diagnosis and decision support for breast imaging

Sriram Krishnan;R. Bharat Rao;Murat Dundar;Glenn Fung

172
Citations
Structure learning in random fields for heart motion abnormality detection

M. Schmidt;K. Murphy;G. Fung;R. Rosales

168
Citations
Finite Newton method for Lagrangian support vector machine classification

Glenn Fung;Olvi L. Mangasarian

154
Citations
Multiple Instance Learning for Computer Aided Diagnosis

Murat Dundar;Balaji Krishnapuram;R. B. Rao;Glenn M. Fung

149
Citations
Predicting readmission risk with institution-specific prediction models

Shipeng Yu;Faisal Farooq;Alexander van Esbroeck;Glenn Fung

144
Citations
From Transformation-Based Dimensionality Reduction to Feature Selection

Mahdokht Masaeli;Jennifer G. Dy;Glenn M. Fung

144
Citations

Frequent Co-Authors

Shipeng Yu Pinterest

Jennifer G. Dy Northeastern University

Olvi L. Mangasarian University of Wisconsin–Madison

Philippe Lambin Maastricht University

Jinbo Bi University of Connecticut

Dirk De Ruysscher Maastricht University

Arun Krishnan Microsoft (United States)

Mark Schmidt University of British Columbia

Bradly G. Wouters Princess Margaret Cancer Centre

Jude W. Shavlik University of Wisconsin–Madison

External Links

Personal website of Glenn Fung Google Scholar page

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

Related Online Degrees & Career Pathways

The field of Computer Science opens doors to a range of online degrees and career pathways beyond traditional undergraduate programs. For those interested in big data and analytics, exploring an online masters in data science can provide specialized skills highly sought after by employers.

Technology professionals aren’t limited to software or IT roles. If you’re intrigued by project management and leadership in the construction sector, a 2 year construction management degree completed online offers a fast track to this growing field.

Combining business knowledge with computing experience is another pathway for career advancement. Busy professionals may benefit from cheap online mba opportunities, which deliver management skills at a lower cost than many in-person programs.

Those seeking to boost their credentials quickly can also consider one year masters programs available online in various specializations, allowing you to gain advanced qualifications in less time.