D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 35 Citations 6,722 203 World Ranking 6094 National Ranking 83

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Artificial neural network

Ah-Hwee Tan mainly focuses on Artificial intelligence, Machine learning, Information retrieval, Adaptive resonance theory and Artificial neural network. The Artificial intelligence study combines topics in areas such as Natural language processing and Pattern recognition. The Overfitting research Ah-Hwee Tan does as part of his general Machine learning study is frequently linked to other disciplines of science, such as Memetic algorithm, therefore creating a link between diverse domains of science.

Ah-Hwee Tan has researched Information retrieval in several fields, including Text mining and Image segmentation. His research integrates issues of Recall, Semantic memory, Cognition, Cluster analysis and Robustness in his study of Adaptive resonance theory. The concepts of his Artificial neural network study are interwoven with issues in Pattern recognition, Cognitive model, Software agent and System identification.

His most cited work include:

  • Text Mining: The state of the art and the challenges (360 citations)
  • A fast pruned-extreme learning machine for classification problem (276 citations)
  • Rule Extraction: From Neural Architecture to Symbolic Representation (142 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Artificial intelligence, Machine learning, Artificial neural network, Adaptive resonance theory and Reinforcement learning. Ah-Hwee Tan combines subjects such as Cognition, Data mining and Pattern recognition with his study of Artificial intelligence. In the subject of general Machine learning, his work in Decision tree is often linked to Set, thereby combining diverse domains of study.

His biological study spans a wide range of topics, including Deep learning and Problem domain. His Adaptive resonance theory research is multidisciplinary, relying on both Semantic memory and Episodic memory. His research investigates the connection with Cluster analysis and areas like Information retrieval which intersect with concerns in Natural language processing.

He most often published in these fields:

  • Artificial intelligence (59.53%)
  • Machine learning (26.07%)
  • Artificial neural network (24.90%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (59.53%)
  • Cluster analysis (15.18%)
  • Adaptive resonance theory (17.12%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Artificial intelligence, Cluster analysis, Adaptive resonance theory, Machine learning and Pattern recognition. Ah-Hwee Tan merges Artificial intelligence with Activities of daily living in his research. The study incorporates disciplines such as Probabilistic logic, Information retrieval, Residual and Robustness in addition to Cluster analysis.

His study in Adaptive resonance theory is interdisciplinary in nature, drawing from both Social media, Semantic memory and Episodic memory. His Machine learning study integrates concerns from other disciplines, such as Frame and Data mining. His Pattern recognition study incorporates themes from Electroencephalography, Facial recognition system, Image, Benchmark and Image restoration.

Between 2015 and 2021, his most popular works were:

  • Benchmarking Single-Image Reflection Removal Algorithms (55 citations)
  • Summarization of Egocentric Videos: A Comprehensive Survey (52 citations)
  • CRRN: Multi-scale Guided Concurrent Reflection Removal Network (36 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Artificial neural network

His main research concerns Artificial intelligence, Pattern recognition, Cluster analysis, Automatic summarization and Image segmentation. Ah-Hwee Tan has included themes like Machine learning and Cognition in his Artificial intelligence study. Ah-Hwee Tan interconnects Decision support system and Inference in the investigation of issues within Machine learning.

Ah-Hwee Tan focuses mostly in the field of Pattern recognition, narrowing it down to matters related to Image and, in some cases, Sparse approximation. His Cluster analysis research incorporates elements of Anomaly detection, Probabilistic logic and Residual. He combines subjects such as Segmentation and Multimedia with his study of Automatic summarization.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Text Mining: The state of the art and the challenges

Ah-Hwee Tan;Heng Mui;Keng Terrace.
(2000)

1038 Citations

A fast pruned-extreme learning machine for classification problem

Hai-Jun Rong;Yew-Soon Ong;Ah-Hwee Tan;Zexuan Zhu.
Neurocomputing (2008)

376 Citations

Rule Extraction: From Neural Architecture to Symbolic Representation

Gail A. Carpenter;Ah-Hwee Tan.
Connection Science (1995)

201 Citations

Learning and inferencing in user ontology for personalized Semantic Web search

Xing Jiang;Ah-Hwee Tan.
Information Sciences (2009)

178 Citations

On Quantitative Evaluation of Clustering Systems.

Ji He;Ah-Hwee Tan;Chew Lim Tan;Sam Yuan Sung.
Clustering and Information Retrieval (2004)

167 Citations

CRCTOL: A semantic-based domain ontology learning system

Xing Jiang;Ah-Hwee Tan.
Journal of the Association for Information Science and Technology (2010)

145 Citations

Integrating Temporal Difference Methods and Self-Organizing Neural Networks for Reinforcement Learning With Delayed Evaluative Feedback

Ah-Hwee Tan;Ning Lu;Dan Xiao.
IEEE Transactions on Neural Networks (2008)

139 Citations

Modelling situation awareness for Context-aware Decision Support

Yu-Hong Feng;Teck-Hou Teng;Ah-Hwee Tan.
Expert Systems With Applications (2009)

134 Citations

Integrated cognitive architectures: a survey

Hui-Qing Chong;Ah-Hwee Tan;Gee-Wah Ng.
Artificial Intelligence Review (2007)

133 Citations

Method and system for discovering knowledge from text documents

Ah Hwee Tan;Rajaraman Kanagasabai.
(2002)

131 Citations

Best Scientists Citing Ah-Hwee Tan

Yehoshua Y. Zeevi

Yehoshua Y. Zeevi

Technion – Israel Institute of Technology

Publications: 47

Yew-Soon Ong

Yew-Soon Ong

Nanyang Technological University

Publications: 42

Chee Peng Lim

Chee Peng Lim

Deakin University

Publications: 36

Chunyan Miao

Chunyan Miao

Nanyang Technological University

Publications: 29

Abhishek Gupta

Abhishek Gupta

The Ohio State University

Publications: 25

Amaury Lendasse

Amaury Lendasse

University of Houston

Publications: 21

Jong-Hwan Kim

Jong-Hwan Kim

Korea Advanced Institute of Science and Technology

Publications: 20

Han Yu

Han Yu

Nanyang Technological University

Publications: 17

Donald C. Wunsch

Donald C. Wunsch

Missouri University of Science and Technology

Publications: 14

Cyril Leung

Cyril Leung

University of British Columbia

Publications: 12

Laurence T. Yang

Laurence T. Yang

St. Francis Xavier University

Publications: 10

Javier Del Ser

Javier Del Ser

University of the Basque Country

Publications: 10

Ling-Yu Duan

Ling-Yu Duan

Peking University

Publications: 8

Yannis Dimitriadis

Yannis Dimitriadis

University of Valladolid

Publications: 8

Ning Wang

Ning Wang

Harbin Engineering University

Publications: 7

Wei-Ying Ma

Wei-Ying Ma

Tsinghua University

Publications: 7

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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

Contact us
Something went wrong. Please try again later.