Clarence Tan
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
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- Stock Market Forecasting Methods
Papers in
-
- Stock Market Forecasting Methods 7
- Finance 4
- Financial Markets and Investment Strategies 4
- Co-authors
- Nikola Kasabov (3 shared papers)Marko Šarlija (2 shared papers)Bruce Vanstone (4 shared papers)Gavin Finnie (3 shared papers)G.E. Wittig (1 shared paper)Kuldeep Kumar (1 shared paper)
- Journals
- Sensors (1 paper)Neural Processing Letters (1 paper)Neurocomputing (1 paper)Managerial Finance (1 paper)Bond University Research Portal (Bond University) (5 papers)
- Partner nations
- AustraliaNew ZealandCroatia
In The Last Decade
Clarence Tan
11 papers receiving 256 citations
Peers
Comparison fields: 5 of 52
- Cognitive Neuroscience 116
- Management Science and Operations Research 72
- Experimental and Cognitive Psychology 67
- Finance 34
- Human-Computer Interaction 18
Countries citing papers authored by Clarence Tan
This map shows the geographic impact of Clarence Tan'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 Clarence Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clarence Tan more than expected).
Fields of papers citing papers by Clarence Tan
This network shows the impact of papers produced by Clarence Tan. 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 Clarence Tan. The network helps show where Clarence Tan may publish in the future.
Co-authors
The 6 scholars most cited alongside Clarence Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 81 | |
| 2 | 2020 | 48 | |
| 3 | 2020 | 38 | |
| 4 | 2001 | 37 | |
| 5 | A survey of the application of soft computing to investment and financial trading | 2003 | 20 |
| 6 | Applying Fundamental Analysis and Neural Networks in the Australian Stockmarket | 2004 | 18 |
| 7 | Evaluating the application of neural networks and fundamental analysis in the Australian stockmarket | 2005 | 13 |
| 8 | 2002 | 12 | |
| 9 | Enhancing security selection in the Australian Stockmarket using fundamental analysis and neural networks | 2004 | 3 |
| 10 | 2002 | 3 | |
| 11 | 2002 | 2 | |
| 12 | A hybrid system for financial trading and forecasting | 1998 | 0 |
About Clarence Tan
Clarence Tan is a scholar working on Management Science and Operations Research, Finance, Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence, having authored 12 papers that have together received 275 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (7 papers), Financial Markets and Investment Strategies (4 papers), EEG and Brain-Computer Interfaces (3 papers), Neural dynamics and brain function (3 papers), Energy Load and Power Forecasting (3 papers), Emotion and Mood Recognition (2 papers), Neural Networks and Applications (2 papers) and Imbalanced Data Classification Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (116 citations), Management Science and Operations Research (72 citations), Experimental and Cognitive Psychology (67 citations), Finance (34 citations) and Human-Computer Interaction (18 citations). Clarence Tan has collaborated with scholars based in Australia, New Zealand and Croatia. Frequent co-authors include Nikola Kasabov, Marko Šarlija, Bruce Vanstone, Gavin Finnie, G.E. Wittig and Kuldeep Kumar. Their work appears in journals such as Sensors, Neural Processing Letters, Neurocomputing, Managerial Finance and Bond University Research Portal (Bond University).
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.