| A series of NiM (M= Ru, Rh, and Pd) bimetallic catalysts for effective lignin hydrogenolysis in water J Zhang, J Teo, X Chen, H Asakura, T Tanaka, K Teramura, N Yan Acs Catalysis 4 (5), 1574-1583, 2014 | 479 | 2014 |
| Exploring dynamic self-adaptive populations in differential evolution J Teo Soft computing 10, 673-686, 2006 | 456 | 2006 |
| EEG‐based emotion recognition: a state‐of‐the‐art review of current trends and opportunities NS Suhaimi, J Mountstephens, J Teo Computational intelligence and neuroscience 2020 (1), 8875426, 2020 | 291 | 2020 |
| Emotion recognition using eye-tracking: taxonomy, review and current challenges JZ Lim, J Mountstephens, J Teo Sensors 20 (8), 2384, 2020 | 224 | 2020 |
| Early detection of silent hypoxia in Covid-19 pneumonia using smartphone pulse oximetry J Teo Journal of medical systems 44 (8), 134, 2020 | 127 | 2020 |
| An industrial IoT-based blockchain-enabled secure searchable encryption approach for healthcare systems using neural network A Ali, MA Almaiah, F Hajjej, MF Pasha, OH Fang, R Khan, J Teo, ... Sensors 22 (2), 572, 2022 | 114 | 2022 |
| Aesthetic preference recognition of 3D shapes using EEG LH Chew, J Teo, J Mountstephens Cognitive neurodynamics 10, 165-173, 2016 | 97 | 2016 |
| Mental health prediction using machine learning: taxonomy, applications, and challenges J Chung, J Teo Applied Computational Intelligence and Soft Computing 2022 (1), 9970363, 2022 | 90 | 2022 |
| A review of recent approaches for emotion classification using electrocardiography and electrodermography signals AF Bulagang, NG Weng, J Mountstephens, J Teo Informatics in Medicine Unlocked 20, 100363, 2020 | 83 | 2020 |
| Self-adaptive population sizing for a tune-free differential evolution NS Teng, J Teo, MHA Hijazi Soft Computing 13 (7), 709-724, 2009 | 70 | 2009 |
| A true annealing approach to the marriage in honey-bees optimization algorithm J Teo, HA Abbass International Journal of Computational Intelligence and Applications 3 (02 …, 2003 | 70 | 2003 |
| Progress and challenges in generative product design: A review of systems J Mountstephens, J Teo Computers 9 (4), 80, 2020 | 55 | 2020 |
| A dataset for emotion recognition using virtual reality and EEG (DER-VREEG): Emotional state classification using low-cost wearable VR-EEG headsets NS Suhaimi, J Mountstephens, J Teo Big Data and Cognitive Computing 6 (1), 16, 2022 | 51 | 2022 |
| Multiobjectivity and complexity in embodied cognition J Teo, HA Abbass IEEE Transactions on Evolutionary Computation 9 (4), 337-360, 2005 | 49 | 2005 |
| Fast lane detection with randomized hough transform A Saudi, J Teo, MHA Hijazi, J Sulaiman 2008 international symposium on information technology 4, 1-5, 2008 | 48 | 2008 |
| Four-class emotion classification in virtual reality using pupillometry LJ Zheng, J Mountstephens, J Teo Journal of Big Data 7, 1-9, 2020 | 45 | 2020 |
| Deep learning for EEG-based preference classification J Teo, CL Hou, J Mountstephens AIP Conference Proceedings 1891 (1), 2017 | 41 | 2017 |
| Automatic generation of controllers for embodied legged organisms: A Pareto evolutionary multi-objective approach J Teo, HA Abbass Evolutionary Computation 12 (3), 355-394, 2004 | 41 | 2004 |
| Multiclass emotion prediction using heart rate and virtual reality stimuli AF Bulagang, J Mountstephens, J Teo Journal of Big Data 8, 1-12, 2021 | 34 | 2021 |
| Classification of affective states via EEG and deep learning J Teo, LH Chew, JT Chia, J Mountstephens International Journal of Advanced Computer Science and Applications 9 (5), 2018 | 32 | 2018 |
