Jason Teo

3.1k total citations · 3 hit papers
137 papers, 2.1k citations indexed

About

Jason Teo is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Jason Teo has authored 137 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 35 papers in Cognitive Neuroscience and 31 papers in Experimental and Cognitive Psychology. Recurrent topics in Jason Teo's work include Evolutionary Algorithms and Applications (51 papers), Metaheuristic Optimization Algorithms Research (40 papers) and EEG and Brain-Computer Interfaces (32 papers). Jason Teo is often cited by papers focused on Evolutionary Algorithms and Applications (51 papers), Metaheuristic Optimization Algorithms Research (40 papers) and EEG and Brain-Computer Interfaces (32 papers). Jason Teo collaborates with scholars based in Malaysia, Pakistan and Australia. Jason Teo's co-authors include James Mountstephens, Nazmi Sofian Suhaimi, Hussein A. Abbass, Mohd Hanafi Ahmad Hijazi, Chin Kim On, Rahim Khan, Huey Fang Ong, Muhammad Fermi Pasha, Muhammad Zakarya and Aitizaz Ali and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Journal of the Operational Research Society.

In The Last Decade

Jason Teo

128 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities

2020 241 citations James Mountstephens, Jason Teo et al. profile →
An Industrial IoT-Based Blockchain-Enabled Secure Searchable Encryption Approach for Healthcare Systems Using Neural Network

2022 139 citations Rahim Khan, Jason Teo et al. Sensors profile →
Mental Health Prediction Using Machine Learning: Taxonomy, Applications, and Challenges

2022 99 citations Jason Teo et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jason Teo Malaysia	21	726	545	487	315	205	137	2.1k
Chu Kiong Loo Malaysia	27	1.1k 1.5×	424 0.8×	166 0.3×	131 0.4×	100 0.5×	254	3.3k
Xiangwei Zheng China	21	416 0.6×	539 1.0×	449 0.9×	82 0.3×	122 0.6×	136	1.6k
Minho Lee South Korea	26	625 0.9×	328 0.6×	137 0.3×	98 0.3×	164 0.8×	174	2.3k
Antonio Chella Italy	23	645 0.9×	378 0.7×	81 0.2×	100 0.3×	91 0.4×	169	1.5k
Jianhua Zhang China	22	414 0.6×	1.2k 2.2×	884 1.8×	58 0.2×	215 1.0×	89	2.2k
Mannes Poel Netherlands	22	347 0.5×	634 1.2×	199 0.4×	40 0.1×	233 1.1×	95	1.5k
Jim Tørresen Norway	26	739 1.0×	249 0.5×	362 0.7×	54 0.2×	118 0.6×	211	2.7k
Kwee-Bo Sim South Korea	16	406 0.6×	354 0.6×	137 0.3×	90 0.3×	101 0.5×	178	1.4k
Yizhang Jiang China	25	989 1.4×	485 0.9×	228 0.5×	56 0.2×	78 0.4×	103	2.3k
Ana Fred Portugal	27	1.2k 1.7×	1.4k 2.6×	409 0.8×	89 0.3×	106 0.5×	175	4.0k

Countries citing papers authored by Jason Teo

Since Specialization

Citations

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

Fields of papers citing papers by Jason Teo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Teo

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Teo. A scholar is included among the top collaborators of Jason Teo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jason Teo. Jason Teo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Teo, Jason, et al.. (2025). Enhancing house price forecasting with hybrid data driven feature extraction model. Journal of the Operational Research Society. 77(4). 978–989.

Teo, Jason, et al.. (2023). Academic Emotion Classification Using FER: A Systematic Review. Human Behavior and Emerging Technologies. 2023. 1–27. 13 indexed citations

Khan, Rahim, et al.. (2023). Sensing and Device Neighborhood-Based Slot Assignment Approach for the Internet of Things. Applied Sciences. 13(8). 4682–4682. 2 indexed citations

Teo, Jason, et al.. (2023). Single classifier vs. ensemble machine learning approaches for mental health prediction. Brain Informatics. 10(1). 1–1. 44 indexed citations

Teo, Jason, et al.. (2023). Data augmentation using generative adversarial networks for images and biomarkers in medicine and neuroscience. Frontiers in Applied Mathematics and Statistics. 9. 11 indexed citations

Khan, Rahim, et al.. (2022). A Trustworthy, Reliable, and Lightweight Privacy and Data Integrity Approach for the Internet of Things. IEEE Transactions on Industrial Informatics. 19(1). 511–518. 12 indexed citations

Mountstephens, James, et al.. (2022). Eye-Tracking Feature Extraction for Biometric Machine Learning. Frontiers in Neurorobotics. 15. 796895–796895. 30 indexed citations

Teo, Jason, et al.. (2020). Pushing the boundaries of EEG-based emotion classification using consumer-grade wearable brain-computer interfacing devices and ensemble classifiers. UMS Institutional Repository (Universiti Malaysia Sabah). 2 indexed citations

Mountstephens, James, et al.. (2020). Emotion Recognition Using Eye-Tracking: Taxonomy, Review and Current Challenges. Sensors. 20(8). 2384–2384. 175 indexed citations

10.

Teo, Jason, et al.. (2019). Deep Learning for Emotion Recognition in Affective Virtual Reality and Music Applications. International Journal of Recent Technology and Engineering (IJRTE). 8(2S2). 162–170. 3 indexed citations

11.

On, Chin Kim, et al.. (2018). A CIMB Stock Price Prediction Case Study with Feedforward Neural Network and Recurrent Neural Network. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 10. 89–94. 7 indexed citations

12.

Teo, Jason, et al.. (2018). Preference Classification Using Electroencephalography (EEG) and Deep Learning. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 10. 87–91. 11 indexed citations

13.

On, Chin Kim, et al.. (2016). Backpropagation Neural Ensemble for Localizing and Recognizing Non-Standardized Malaysia’s Car Plates. International Journal on Advanced Science Engineering and Information Technology. 6(6). 1112–1112. 7 indexed citations

14.

Teo, Jason, et al.. (2014). Empirically Comparing Three Multi-Objective Optimization Approaches for the Automated Evolution of Snake-Like Modular Robots. International Conference on Artificial Intelligence. 175–183. 1 indexed citations

15.

Teo, Jason, et al.. (2014). Integrating Evolutionary Robotics with 3D Printing for Rapid Fabrication and Deployment of a Physically-Simulated Autonomous Six Articulated-Wheeled Robot. International Conference on Artificial Intelligence. 184–191. 1 indexed citations

16.

Teo, Jason, et al.. (2010). Evolution strategies for evolving artificial neural networks in an arcade game. Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia). 41(2). 361–79. 1 indexed citations

17.

Anthony, Patricia, et al.. (2008). The effect of varying the crossover rate in the evolution of bidding strategies. 160. 162–167. 3 indexed citations

18.

Teo, Jason. (2005). EVOLUTIONARY MULTI-OBJECTIVE OPTIMIZATION FOR AUTOMATIC SYNTHESIS OF ARTIFICIAL NEURAL NETWORK ROBOT CONTROLLERS. Malaysian Journal of Computer Science. 18(2). 34–62. 5 indexed citations

19.

Teo, Jason, et al.. (2005). A parameterless differential evolution optimizer. International Conference on Systems. 330–335. 1 indexed citations

20.

Teo, Jason, et al.. (2003). Neuro-Morpho Evolution: What will happen if our body is not symmetric?. 3 indexed citations

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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