Kok-Why Ng

454 total citations
49 papers, 220 citations indexed

About

Kok-Why Ng is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kok-Why Ng has authored 49 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 14 papers in Artificial Intelligence and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kok-Why Ng's work include Recommender Systems and Techniques (6 papers), Computer Graphics and Visualization Techniques (4 papers) and Advanced Text Analysis Techniques (4 papers). Kok-Why Ng is often cited by papers focused on Recommender Systems and Techniques (6 papers), Computer Graphics and Visualization Techniques (4 papers) and Advanced Text Analysis Techniques (4 papers). Kok-Why Ng collaborates with scholars based in Malaysia, Indonesia and India. Kok-Why Ng's co-authors include Su-Cheng Haw, Palanichamy Naveen, Morteza SaberiKamarposhti, Hesam Kamyab, Fang-Fang Chua, Majid Khorami, C. Eswaran, Junaidi Abdullah, Mona Moradi and Arfive Gandhi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Research and Pattern Recognition Letters.

In The Last Decade

Kok-Why Ng

33 papers receiving 216 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kok-Why Ng Malaysia 9 49 44 38 23 23 49 220
M. Syed Shahul Hameed Pakistan 4 43 0.9× 51 1.2× 68 1.8× 20 0.9× 13 0.6× 7 204
Cahya Rahmad Indonesia 8 63 1.3× 67 1.5× 91 2.4× 18 0.8× 8 0.3× 62 249
Ingrid Nurtanio Indonesia 9 27 0.6× 62 1.4× 60 1.6× 8 0.3× 33 1.4× 82 242
Moch Arief Soeleman Indonesia 8 50 1.0× 83 1.9× 89 2.3× 15 0.7× 23 1.0× 87 252
Ankush Ghosh India 9 47 1.0× 53 1.2× 41 1.1× 10 0.4× 15 0.7× 47 258
Milan Tripathi Nepal 5 31 0.6× 78 1.8× 86 2.3× 9 0.4× 26 1.1× 7 248
Mohammed Abdullah Al-Hagery Saudi Arabia 10 68 1.4× 106 2.4× 24 0.6× 10 0.4× 8 0.3× 51 258
Palanichamy Naveen India 8 40 0.8× 81 1.8× 26 0.7× 8 0.3× 15 0.7× 68 256
T Devi. India 10 60 1.2× 69 1.6× 43 1.1× 21 0.9× 51 2.2× 51 278
Mukesh Kumar India 11 83 1.7× 111 2.5× 37 1.0× 33 1.4× 14 0.6× 51 329

Countries citing papers authored by Kok-Why Ng

Since Specialization
Citations

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

Fields of papers citing papers by Kok-Why Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kok-Why Ng. 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 Kok-Why Ng. The network helps show where Kok-Why Ng may publish in the future.

Co-authorship network of co-authors of Kok-Why Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Kok-Why Ng. A scholar is included among the top collaborators of Kok-Why Ng 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 Kok-Why Ng. Kok-Why Ng 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.
Ng, Kok-Why, et al.. (2025). Automated grading using natural language processing and semantic analysis. MethodsX. 14. 103395–103395.
2.
Haw, Su-Cheng, et al.. (2025). IM- LTS: An Integrated Model for Lung Tumor Segmentation using Neural Networks and IoMT. MethodsX. 14. 103201–103201.
3.
SaberiKamarposhti, Morteza, et al.. (2024). Cultivating a sustainable future in the artificial intelligence era: A comprehensive assessment of greenhouse gas emissions and removals in agriculture. Environmental Research. 250. 118528–118528. 39 indexed citations
4.
Haw, Su-Cheng, et al.. (2024). Indonesian-English Textual Similarity Detection Using Universal Sentence Encoder (USE) and Facebook AI Similarity Search (FAISS). SHILAP Revista de lepidopterología. 18(2). 183–195. 3 indexed citations
5.
Ng, Kok-Why, et al.. (2024). Lib-Bot: A Smart Librarian-Chatbot Assistant. International Journal of Computing and Digital Systems. 15(1). 1–11. 3 indexed citations
6.
Ng, Kok-Why, et al.. (2024). Analysis of Book Preferences Among Visitors in Library System. TEM Journal. 422–430.
7.
Ng, Kok-Why, et al.. (2024). Data-Oriented Operating System for Big Data and Cloud. Intelligent Automation & Soft Computing. 39(4). 633–647.
8.
9.
Ng, Kok-Why, et al.. (2023). Face and Facial Expressions Recognition System for Blind People Using ResNet50 Architecture and CNN. SHILAP Revista de lepidopterología. 2(2). 284–298. 15 indexed citations
10.
Ng, Kok-Why, et al.. (2023). Dynamic Difficulty Adjustment in Video Games for Encouraging Physical Exercise: A Review and Theoretical Framework. Advances in Social Science, Education and Humanities Research. 113–121. 2 indexed citations
11.
Haw, Su-Cheng, et al.. (2023). Customer Relationship Management for Better Insights with Descriptive Analytics. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 3(3). 1482–1493. 4 indexed citations
12.
Haw, Su-Cheng, et al.. (2023). User Evaluation of Diversity and Novelty in the Redesigned Recommender List for an Indonesian E-Commerce Platform. Journal of System and Management Sciences. 14(4).
13.
Haw, Su-Cheng, et al.. (2023). Blockchain-Based Recommendation System: A Review Focusing On Security Aspect. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 3(4). 1572–1587.
14.
Haw, Su-Cheng, et al.. (2023). Performance Evaluation on Resolution Time Prediction Using Decision Tree, Random Forest and eXtreme Gradient Boosting. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 74–79. 1 indexed citations
15.
Haw, Su-Cheng, et al.. (2023). A Healthcare Recommender System Framework. International Journal on Advanced Science Engineering and Information Technology. 13(6). 2282–2293.
16.
Ng, Kok-Why, et al.. (2023). SAFE: Security Door Lock System Using Haar-Cascade and LBPH Method. Applied and Computational Engineering. 2(1). 802–810.
17.
Ng, Kok-Why, et al.. (2023). Neural Network Based Data Encryption: A Comparison Study among DES, AES, and HE Techniques. SHILAP Revista de lepidopterología. 7(3-2). 2086–2086. 5 indexed citations
18.
Haw, Su-Cheng, et al.. (2022). A Hybrid Ontology-based Recommender System Utilizing Data Enrichment and SVD Approaches. Journal of System and Management Sciences. 4 indexed citations
19.
Haw, Su-Cheng, et al.. (2022). Content-based Recommender System with Descriptive Analytics. Journal of System and Management Sciences. 6 indexed citations
20.
Ng, Kok-Why, et al.. (2018). Slinky-based Segmentation on 3D Polygonal Model for Functional Parts in Computer Graphics. 8(3).

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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2026