Chin Soon Ku

1.0k total citations
39 papers, 492 citations indexed

About

Chin Soon Ku is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chin Soon Ku has authored 39 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 13 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chin Soon Ku's work include Advanced Malware Detection Techniques (7 papers), User Authentication and Security Systems (6 papers) and Advanced Steganography and Watermarking Techniques (5 papers). Chin Soon Ku is often cited by papers focused on Advanced Malware Detection Techniques (7 papers), User Authentication and Security Systems (6 papers) and Advanced Steganography and Watermarking Techniques (5 papers). Chin Soon Ku collaborates with scholars based in Malaysia, Taiwan and Pakistan. Chin Soon Ku's co-authors include Lip Yee Por, Yen‐Lin Chen, Jing Yang, Yang Jing, Tan Fong Ang, Mohamed Gabr, Abdullah Ayub Khan, Wassim Alexan, Jing Yang and Seyed Vahid Moravvej and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Chin Soon Ku

38 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chin Soon Ku Malaysia 14 173 111 104 79 75 39 492
T. Velmurugan India 14 323 1.9× 114 1.0× 133 1.3× 34 0.4× 65 0.9× 49 616
Walaa N. Ismail Saudi Arabia 13 148 0.9× 83 0.7× 100 1.0× 78 1.0× 140 1.9× 28 446
Vrushali Kulkarni India 12 187 1.1× 78 0.7× 156 1.5× 89 1.1× 110 1.5× 37 548
Amerah Alabrah Saudi Arabia 14 294 1.7× 110 1.0× 128 1.2× 75 0.9× 161 2.1× 55 706
S. Nickolas India 15 242 1.4× 64 0.6× 180 1.7× 33 0.4× 130 1.7× 70 716
Hemant Kumar Gianey India 8 105 0.6× 56 0.5× 64 0.6× 24 0.3× 108 1.4× 13 396
Ibrahim El-Henawy Egypt 11 394 2.3× 107 1.0× 70 0.7× 28 0.4× 49 0.7× 24 631
Jehad F. Al‐Amri Saudi Arabia 15 157 0.9× 295 2.7× 105 1.0× 100 1.3× 95 1.3× 46 731
Syed Atif Moqurrab Pakistan 13 236 1.4× 41 0.4× 149 1.4× 58 0.7× 164 2.2× 34 491
Mubashir Ali Pakistan 13 436 2.5× 93 0.8× 141 1.4× 30 0.4× 40 0.5× 49 794

Countries citing papers authored by Chin Soon Ku

Since Specialization
Citations

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

Fields of papers citing papers by Chin Soon Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin Soon Ku. 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 Chin Soon Ku. The network helps show where Chin Soon Ku may publish in the future.

Co-authorship network of co-authors of Chin Soon Ku

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

All Works

20 of 20 papers shown
1.
Govindarajan, V. S., Tan Fong Ang, Zaffar Ahmed Shaikh, et al.. (2025). MSPO: A machine learning hyperparameter optimization method for enhanced breast cancer image classification. Digital Health. 11. 610005315–610005315. 1 indexed citations
2.
Ang, Tan Fong, et al.. (2025). Color correction methods for underwater image enhancement: A systematic literature review. PLoS ONE. 20(3). e0317306–e0317306. 2 indexed citations
3.
4.
Gabr, Mohamed, Huwaida T. Elshoush, Yen‐Lin Chen, et al.. (2024). Data Security Utilizing a Memristive Coupled Neural Network in 3D Models. IEEE Access. 12. 116457–116477. 13 indexed citations
5.
Khan, Abdullah Ayub, Yen‐Lin Chen, Fahima Hajjej, et al.. (2024). Digital forensics for the socio-cyber world (DF-SCW): A novel framework for deepfake multimedia investigation on social media platforms. Egyptian Informatics Journal. 27. 100502–100502. 22 indexed citations
6.
Khan, Abdullah Ayub, Jing Yang, Asif Ali Laghari, et al.. (2024). BAIoT-EMS: Consortium network for small-medium enterprises management system with blockchain and augmented intelligence of things. Engineering Applications of Artificial Intelligence. 141. 109838–109838. 35 indexed citations
7.
Chen, Yen‐Lin, et al.. (2024). Colon and lung cancer classification from multi-modal images using resilient and efficient neural network architectures. Heliyon. 10(9). e30625–e30625. 28 indexed citations
8.
Por, Lip Yee, Yen‐Lin Chen, Jing Yang, et al.. (2024). An intrusion detection model to detect zero-day attacks in unseen data using machine learning. PLoS ONE. 19(9). e0308469–e0308469. 16 indexed citations
9.
Yang, Jing, et al.. (2024). Preventing 51% Attack by Using Consecutive Block Limits in Bitcoin. IEEE Access. 12. 77852–77869. 5 indexed citations
10.
Por, Lip Yee, Jing Yang, Chin Soon Ku, & Abdullah Ayub Khan. (2023). Special Issue on Cryptography and Information Security. Applied Sciences. 13(10). 6042–6042. 1 indexed citations
11.
Liu, Xiaobo, Yen‐Lin Chen, Lip Yee Por, & Chin Soon Ku. (2023). A Systematic Literature Review of Vehicle Routing Problems with Time Windows. Sustainability. 15(15). 12004–12004. 13 indexed citations
12.
Por, Lip Yee, et al.. (2023). Mobile Phone Data: A Survey of Techniques, Features, and Applications. Sensors. 23(2). 908–908. 13 indexed citations
13.
Bhatti, Uzair Aslam, et al.. (2023). Deep Learning-Based Trees Disease Recognition and Classification Using Hyperspectral Data. Computers, materials & continua/Computers, materials & continua (Print). 77(1). 681–697. 24 indexed citations
14.
Haq, Shams Ul, Sibghat Ullah Bazai, Shah Marjan, et al.. (2023). Reseek-Arrhythmia: Empirical Evaluation of ResNet Architecture for Detection of Arrhythmia. Diagnostics. 13(18). 2867–2867. 2 indexed citations
15.
Idris, Mohd Yamani Idna, et al.. (2023). Systemic Literature Review of Recognition-Based Authentication Method Resistivity to Shoulder-Surfing Attacks. Applied Sciences. 13(18). 10040–10040. 2 indexed citations
16.
17.
Chen, Yen‐Lin, Abdullah Ayub Khan, Zulfiqar Ali Memon, et al.. (2023). Enabling IoT Service Classification: A Machine Learning-Based Approach for Handling Classification Issues in Heterogeneous IoT Services. IEEE Access. 11. 89024–89037. 1 indexed citations
18.
Yang, Jing, Yen‐Lin Chen, Lip Yee Por, Chin Soon Ku, & Manoochehr Babanezhad. (2023). An Improved Artificial Ecosystem-Based Optimization Algorithm for Optimal Design of a Hybrid Photovoltaic/Fuel Cell Energy System to Supply A Residential Complex Demand: A Case Study for Kuala Lumpur. Energies. 16(6). 2867–2867. 9 indexed citations
19.
Por, Lip Yee, et al.. (2022). Investigating the Effect of COVID-19 on Driver Behavior and Road Safety: A Naturalistic Driving Study in Malaysia. International Journal of Environmental Research and Public Health. 19(18). 11224–11224. 9 indexed citations
20.
Por, Lip Yee, et al.. (2017). Graphical password: prevent shoulder-surfing attack using digraph substitution rules. Frontiers of Computer Science. 11(6). 1098–1108. 17 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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