Chu Kiong Loo

4.8k total citations · 2 hit papers
254 papers, 3.3k citations indexed

About

Chu Kiong Loo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Chu Kiong Loo has authored 254 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Artificial Intelligence, 87 papers in Computer Vision and Pattern Recognition and 44 papers in Cognitive Neuroscience. Recurrent topics in Chu Kiong Loo's work include Neural Networks and Applications (50 papers), EEG and Brain-Computer Interfaces (26 papers) and Face and Expression Recognition (24 papers). Chu Kiong Loo is often cited by papers focused on Neural Networks and Applications (50 papers), EEG and Brain-Computer Interfaces (26 papers) and Face and Expression Recognition (24 papers). Chu Kiong Loo collaborates with scholars based in Malaysia, Japan and China. Chu Kiong Loo's co-authors include Manjeevan Seera, M.V.C. Rao, T. O. Ting, Chee Peng Lim, Asoke K. Nandi, Naoki Masuyama, Kitsuchart Pasupa, Wai Kit Wong, S. G. Ponnambalam and Naoyuki Kubota and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Power Systems.

In The Last Decade

Chu Kiong Loo

242 papers receiving 3.1k 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.

A Novel Approach for Unit Commitment Problem via an Effective Hybrid Particle Swarm Optimization

2006 359 citations Chu Kiong Loo et al. profile →
Credit Card Fraud Detection Using AdaBoost and Majority Voting

2018 288 citations Chu Kiong Loo, Manjeevan Seera et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chu Kiong Loo Malaysia	27	1.1k	735	576	440	424	254	3.3k
Wenbing Zhao United States	29	690 0.6×	512 0.7×	614 1.1×	172 0.4×	274 0.6×	212	3.2k
Zehong Cao Australia	36	1.0k 0.9×	237 0.3×	412 0.7×	407 0.9×	986 2.3×	118	3.4k
Friedhelm Schwenker Germany	30	1.4k 1.2×	205 0.3×	828 1.4×	153 0.3×	404 1.0×	189	3.2k
Kup‐Sze Choi Hong Kong	36	1.8k 1.7×	304 0.4×	1.0k 1.8×	250 0.6×	1.0k 2.4×	207	4.6k
Mauridhi Hery Purnomo Indonesia	24	634 0.6×	895 1.2×	484 0.8×	667 1.5×	254 0.6×	510	3.1k
Jim Tørresen Norway	26	739 0.7×	336 0.5×	700 1.2×	155 0.4×	249 0.6×	211	2.7k
Balakrishnan Prabhakaran United States	24	275 0.3×	270 0.4×	963 1.7×	169 0.4×	228 0.5×	222	2.6k
Jeen-Shing Wang Taiwan	21	607 0.6×	269 0.4×	684 1.2×	344 0.8×	437 1.0×	60	2.1k
Pubudu N. Pathirana Australia	34	1.6k 1.4×	1.8k 2.4×	533 0.9×	849 1.9×	107 0.3×	241	6.4k
Luis Enrique Sucar Mexico	27	1.0k 0.9×	118 0.2×	1.1k 2.0×	285 0.6×	169 0.4×	213	2.9k

Countries citing papers authored by Chu Kiong Loo

Since Specialization

Citations

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

Fields of papers citing papers by Chu Kiong Loo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chu Kiong Loo. 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 Chu Kiong Loo. The network helps show where Chu Kiong Loo may publish in the future.

Co-authorship network of co-authors of Chu Kiong Loo

This figure shows the co-authorship network connecting the top 25 collaborators of Chu Kiong Loo. A scholar is included among the top collaborators of Chu Kiong Loo 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 Chu Kiong Loo. Chu Kiong Loo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Jie, Jiaxin Wang, Sen Qiu, et al.. (2024). Smart Swimming Training: Wearable Body Sensor Networks Empower Technical Evaluation of Competitive Swimming. IEEE Internet of Things Journal. 12(4). 4448–4465. 1 indexed citations

Asadi, Houshyar, Li Zhang, Mohammad Reza Chalak Qazani, et al.. (2024). Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review. Expert Systems with Applications. 249. 123717–123717. 11 indexed citations

Masuyama, Naoki, Yusuke Nojima, Yuichiro Toda, et al.. (2024). Privacy-Preserving Continual Federated Clustering via Adaptive Resonance Theory. IEEE Access. 12. 139692–139710. 3 indexed citations

Li, Jie, Xiao Gu, Sen Qiu, et al.. (2024). A Survey of Wearable Lower Extremity Neurorehabilitation Exoskeleton: Sensing, Gait Dynamics, and Human–Robot Collaboration. IEEE Transactions on Systems Man and Cybernetics Systems. 54(6). 3675–3693. 11 indexed citations

Huang, Junjun, et al.. (2023). A masked graph neural network model for real-time gastric polyp detection in Healthcare 4.0. Journal of Industrial Information Integration. 34. 100467–100467. 8 indexed citations

Liu, Zongying, et al.. (2023). Weighted error-output recurrent echo kernel state network for multi-step water level prediction. Applied Soft Computing. 137. 110131–110131. 5 indexed citations

Li, Jie, Xu Zhou, Sen Qiu, et al.. (2023). Learning-Based Stance Phase Detection and Multisensor Data Fusion for ZUPT-Aided Pedestrian Dead Reckoning System. IEEE Internet of Things Journal. 11(4). 5899–5911. 7 indexed citations

Pasupa, Kitsuchart, et al.. (2022). CowXNet: An automated cow estrus detection system. Expert Systems with Applications. 211. 118550–118550. 38 indexed citations

Loo, Chu Kiong, et al.. (2021). A Multi-Agent Approach for Personalized Hypertension Risk Prediction. IEEE Access. 9. 75090–75106. 10 indexed citations

10.

Loo, Chu Kiong, et al.. (2021). A Comprehensive Survey of Image-Based Food Recognition and Volume Estimation Methods for Dietary Assessment. Healthcare. 9(12). 1676–1676. 52 indexed citations

11.

Loo, Chu Kiong, et al.. (2021). A Review of the Vision-based Approaches for Dietary Assessment.. arXiv (Cornell University). 1 indexed citations

12.

Loo, Chu Kiong, et al.. (2021). Explainable deep learning ensemble for food image analysis on edge devices. Computers in Biology and Medicine. 139. 104972–104972. 23 indexed citations

13.

Loo, Chu Kiong, et al.. (2021). Progressive Kernel Extreme Learning Machine for Food Image Analysis via Optimal Features from Quality Resilient CNN. Applied Sciences. 11(20). 9562–9562. 5 indexed citations

14.

Loo, Chu Kiong, et al.. (2020). An Open-Ended Continual Learning for Food Recognition Using Class Incremental Extreme Learning Machines. IEEE Access. 8. 82328–82346. 37 indexed citations

15.

Masuyama, Naoki, Chu Kiong Loo, Manjeevan Seera, & Naoyuki Kubota. (2017). Quantum-Inspired Multidirectional Associative Memory With a Self-Convergent Iterative Learning. IEEE Transactions on Neural Networks and Learning Systems. 29(4). 1058–1068. 7 indexed citations

16.

Ponnambalam, S. G., et al.. (2016). Heuristics-Based Trust Estimation in Multiagent Systems Using Temporal Difference Learning. IEEE Transactions on Cybernetics. 47(8). 1925–1935. 14 indexed citations

17.

Ponnambalam, S. G., et al.. (2016). Binary and multi-class motor imagery using Renyi entropy for feature extraction. Neural Computing and Applications. 28(8). 2051–2062. 28 indexed citations

18.

Ponnambalam, S. G., et al.. (2016). An efficient trust estimation model for multi-agent systems using temporal difference learning. Neural Computing and Applications. 28(S1). 461–474. 10 indexed citations

19.

Wong, Wai Kit, et al.. (2010). Home Alone Faint Detection Surveillance System Using Thermal Camera. 747–751. 28 indexed citations

20.

Sayeed, Md Shohel, Andrews Samraj, Rosli Besar, & Chu Kiong Loo. (2007). Forgery Detection in Dynamic Signature Verification by Entailing Principal Component Analysis. Discrete Dynamics in Nature and Society. 2007. 1–8. 16 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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