Antony Browne

441 citations

24 papers · 214 indexed · h-index 6

Impact in

Artificial Intelligence top 10%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
- Evolutionary Algorithms and Applications
- AI-based Problem Solving and Planning
- Imbalanced Data Classification Techniques
Computational Theory and Mathematics

Papers in ⓘ

Artificial Intelligence 13
- Neural Networks and Applications 9
- Fuzzy Logic and Control Systems 3
- Neural Networks and Reservoir Computing 2
Nuclear and High Energy Physics 3
- Magnetic confinement fusion research 3

Co-authors: Ron Sun (2 shared papers)Shuang Yang (1 shared paper)Philip Picton (3 shared papers)Brian D. Hudson (4 shared papers)David S. Whitley (4 shared papers)Martyn G. Ford (4 shared papers)Yu Fu (3 shared papers)Jonathan Goh (1 shared paper)
Journals: Neural Networks (2 papers)Neurocomputing (2 papers)BMC Bioinformatics (1 paper)Neural Computation (1 paper)Neural Processing Letters (1 paper)
Partner nations: United Kingdom United States Saudi Arabia

In The Last Decade

Antony Browne

22 papers receiving 193 citations

Peers

Countries citing papers authored by Antony Browne

Since Specialization

Citations

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

Fields of papers citing papers by Antony Browne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antony Browne. 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 Antony Browne. The network helps show where Antony Browne may publish in the future.

Co-authors

The 25 scholars most cited alongside Antony Browne, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Antony Browne Line = papers co-authored together Antony Browne links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Neural network ensembles: combining multiple models for enhanced performance using a multistage approach Expert Systems ·Shuang Yang, Antony Browne	2004	57
2	Connectionist inference models Neural Networks ·Antony Browne, Ron Sun	2001	52
3	Biological data mining with neural networks: implementation and application of a flexible decision tree extraction algorithm to genomic problem domains Neurocomputing ·Antony Browne, Brian D. Hudson, David S. Whitley, Martyn G. Ford, Philip Picton	2003	26
4	Connectionist variable binding Expert Systems ·Antony Browne, Ron Sun	1999	20
5	Filtering normal retinal images for diabetic retinopathy screening using multiple classifiers View ·Jonathan Goh, Lilian Tang, George M. Saleh, Lutfiah Al Turk, Yu Fu, Antony Browne	2009	9
6	Detecting systematic structure in distributed representations Neural Networks ·Antony Browne	1998	6
7	Knowledge extraction from neural networks Antony Browne, Brian D. Hudson, David S. Whitley, Martyn G. Ford, Philip Picton, Hassan Kazemian	2004	5
8	Performing a symbolic inference step on distributed representations Neurocomputing ·Antony Browne	1998	5
9	Representation and Extrapolation in Multilayer Perceptrons Neural Computation ·Antony Browne	2002	4
10	Unification using a distributed representation ACM SIGART Bulletin ·Antony Browne, J. B. Pilkington	1994	4
11	Use Of Neural Networks To Predict And Analyse Membrane Proteins In The Proteome BMC Bioinformatics ·Subrata K. Bose, Hassan Kazemian, Kenneth White, Antony Browne	2005	4
12	Using Ensembles of Neural Networks to Improve Automatic Relevance Determination IEEE International Conference on Neural Networks ·Yu Fu, Antony Browne	2007	4
13	Extraction of comprehensible logical rules from neural networks: application of TREPAN in bio and cheminformatics Croatica Chemica Acta ·Brian D. Hudson, David S. Whitley, Antony Browne, Martyn G. Ford	2005	3
14	Measuring distribution in distributed representations Neural Processing Letters ·Antony Browne	1996	3
15	Two Analysis Techniques for Feed-Forward Networks Behaviormetrika ·Antony Browne, Philip Picton	1999	3
16	Variable binding in a neural network using a distributed representation Surrey Research Insight Open Access (The University of Surrey) ·Antony Browne, John R. Pilkington	1994	2
17	An active phase compatible protection system to prevent excessive neutral beam shinethrough during JET plasmas S. J. Cox, A. Bickley, Antony Browne, T.T.C. Jones, Lennart Svensson, D. Young	2002	2
18	A resonant-cavity filter for the S-band The proceedings of the Institution of Electrical Engineers. Part B, Radio and electronic engineering, including communication engineering ·Antony Browne	1957	1
19	Investigating the influence of feature correlations on automatic relevance determination Yu Fu, Antony Browne	2008	1
20	Reliability study of the JET neutral injection system C. Challis, A. Bickley, Antony Browne, H.P.L. de Esch, Michael Fogg, T.T.C. Jones, D. Stork, Lennart Svensson	2002	1

About Antony Browne

Antony Browne is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics, Computer Vision and Pattern Recognition, Hardware and Architecture and Cultural Studies, having authored 24 papers that have together received 214 indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Machine Learning in Bioinformatics (6 papers), Fractal and DNA sequence analysis (5 papers), Fuzzy Logic and Control Systems (3 papers), RNA and protein synthesis mechanisms (3 papers), Magnetic confinement fusion research (3 papers), Face and Expression Recognition (2 papers) and Neural Networks and Reservoir Computing (2 papers). The work is most often cited by research in Artificial Intelligence (125 citations), Computational Theory and Mathematics (27 citations), Health Information Management (7 citations), Accounting (13 citations) and Computer Vision and Pattern Recognition (22 citations). Antony Browne has collaborated with scholars based in United Kingdom, United States and Saudi Arabia. Frequent co-authors include Ron Sun, Shuang Yang, Philip Picton, Brian D. Hudson, David S. Whitley, Martyn G. Ford, Yu Fu, Jonathan Goh, Hassan Kazemian and Lilian Tang. Their work appears in journals such as Neural Networks, Neurocomputing, BMC Bioinformatics, Neural Computation and Neural Processing Letters.

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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