2026 Frans Coenen: 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	42	8365	8129	503	496	417	7682

Frans Coenen 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 Frans Coenen sits on this spectrum.

32 publications 991+

This scientist: 417 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Frans Coenen 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 Frans Coenen sits on this spectrum.

30 D-Index 131+

This scientist: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Frans Coenen is affiliated with the University of Liverpool in the United Kingdom. Their research spans multiple domains, with a primary focus on computer science, alongside significant contributions to medicine and biochemistry, genetics, and molecular biology.

Their scholarly work covers a variety of topics, including:

Topic Modeling
ECG Monitoring and Analysis
Obstructive Sleep Apnea Research
RNA modifications and cancer
Cancer-related molecular mechanisms research
Natural Language Processing Techniques
Time Series Analysis and Forecasting

Coauthors frequently collaborating with Frans Coenen include:

Jionglong Su
Yalin Zheng
Jia Meng
Abouzar Choubineh
Jie Chen

Their publications appear in numerous venues, with multiple articles published in:

arXiv (Cornell University)
Journal of King Saud University - Computer and Information Sciences
Bioinformatics
Applied Intelligence
Electronics

Among the recent papers where Frans Coenen has contributed are:

Multi-modal generative adversarial networks for traffic event detection in smart cities, 2021, Expert Systems with Applications
Zero-Shot Text Classification via Knowledge Graph Embedding for Social Media Data, 2021, IEEE Internet of Things Journal
Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data, 2020, Communications Biology
Social media sentiment analysis and opinion mining in public security: Taxonomy, trend analysis, issues and future directions, 2023, Journal of King Saud University - Computer and Information Sciences
Weakly supervised learning of RNA modifications from low-resolution epitranscriptome data, 2021, Bioinformatics

Frans Coenen has also contributed to the publication of books in the field. One example is a book published by Springer Science+Business Media titled Knowledge Discovery, Knowledge Engineering and Knowledge Management in 2023.

Their research integrates subfields such as:

Artificial Intelligence
Molecular Biology
Computer Vision and Pattern Recognition
Cardiology and Cardiovascular Medicine
Signal Processing

Best Publications

Convolutional Neural Networks for Diabetic Retinopathy

Harry Pratt;Frans Coenen;Deborah M. Broadbent;Simon P. Harding;Simon P. Harding

955
Citations
A survey of frequent subgraph mining algorithms

Chuntao Jiang;Frans Coenen;Michele Zito

447
Citations
Isomorphism and legal knowledge based systems

T. J. Bench-Capon;F. P. Coenen

196
Citations
Data structure for association rule mining: T-trees and P-trees

F. Coenen;P. Leng;S. Ahmed

184
Citations
Tree Structures for Mining Association Rules

Frans Coenen;Graham Goulbourne;Paul Leng

178
Citations
Text classification using graph mining-based feature extraction

Chuntao Jiang;Frans Coenen;Robert Sanderson;Michele Zito

177
Citations
Driving posture recognition by convolutional neural networks

Chao Yan;Frans Coenen;Bailing Zhang

171
Citations
One-class kernel subspace ensemble for medical image classification

Yungang Zhang;Yungang Zhang;Bailing Zhang;Frans Coenen;Jimin Xiao

146
Citations
A new method for mining Frequent Weighted Itemsets based on WIT-trees

Bay Vo;Frans Coenen;Bac Le

145
Citations
FCNN: Fourier Convolutional Neural Networks

Harry Pratt;Bryan M. Williams;Frans Coenen;Yalin Zheng

136
Citations
Robust chinese traffic sign detection and recognition with deep convolutional neural network

Rongqiang Qian;Bailing Zhang;Yong Yue;Zhao Wang

131
Citations
Breast cancer diagnosis from biopsy images with highly reliable random subspace classifier ensembles

Yungang Zhang;Bailing Zhang;Frans Coenen;Wenjin Lu

120
Citations
Automated "disease/no disease" grading of age-related macular degeneration by an image mining approach.

Yalin Zheng;Yalin Zheng;Mohd Hanafi Ahmad Hijazi;Mohd Hanafi Ahmad Hijazi;Frans Coenen

107
Citations
Maintenance of knowledge-based systems : theory, techniques and tools

Frans Coenen;T. J. M Bench-Capon

102
Citations
Algorithms for Computing Association Rules Using a Partial-Support Tree

Graham Goulbourne;Frans Coenen;Paul H. Leng

100
Citations
Mining frequent itemsets using the N-list and subsume concepts

Bay Vo;Tuong Le;Frans Coenen;Tzung-Pei Hong

98
Citations
Validation and verification of knowledge based systems : theory, tools and practice

Anca Vermesan;Frans Coenen

92
Citations
The effect of threshold values on association rule based classification accuracy

Frans Coenen;Paul Leng

90
Citations
Threshold tuning for improved classification association rule mining

Frans Coenen;Paul Leng;Lu Zhang

89
Citations
Review: data mining: Past, present and future

Frans Coenen

79
Citations
Mining Fuzzy Weighted Association Rules

D.L. Olson;Yanhong Li

23
Citations

Frequent Co-Authors

Trevor J. M. Bench-Capon University of Liverpool

Danushka Bollegala University of Liverpool

Robert M. Christley University of Liverpool

Kaizhu Huang Duke Kunshan University

Lu Zhang Peking University

Alun Preece Cardiff University

Bay Vo Ho Chi Minh City University of Technology

Zhanfeng Cui University of Oxford

Paula R Williamson University of Liverpool

Alan D Radford University of Liverpool

External Links

Personal website of Frans Coenen Google Scholar page

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