Kok-Why Ng
Impact in
- Information Systems top 10%
- Recommender Systems and Techniques
- User Authentication and Security Systems
Papers in
-
- Recommender Systems and Techniques 6
- Blockchain Technology Applications and Security 3
-
- Advanced Text Analysis Techniques 4
- Semantic Web and Ontologies 3
- Co-authors
- Su-Cheng Haw (33 shared papers)Palanichamy Naveen (17 shared papers)Morteza SaberiKamarposhti (2 shared papers)Mehdi Yadollahi (2 shared papers)Fang-Fang Chua (2 shared papers)Majid Khorami (1 shared paper)Hesam Kamyab (1 shared paper)C. Eswaran (2 shared papers)
In The Last Decade
Kok-Why Ng
35 papers receiving 248 citations
Peers
Comparison fields: 5 of 84
- Information Systems 55
- Human-Computer Interaction 13
- Health Informatics 3
- Signal Processing 24
- Computer Graphics and Computer-Aided Design 7
Countries citing papers authored by Kok-Why Ng
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
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-authors
The 14 scholars most cited alongside Kok-Why Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 42 | |
| 2 | 2022 | 17 | |
| 3 | 2020 | 17 | |
| 4 | 2024 | 17 | |
| 5 | 2023 | 17 | |
| 6 | 2019 | 15 | |
| 7 | 2012 | 14 | |
| 8 | 2024 | 11 | |
| 9 | 2013 | 10 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2014 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2024 | 4 |
About Kok-Why Ng
Kok-Why Ng is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 51 papers that have together received 251 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (6 papers), Computer Graphics and Visualization Techniques (4 papers), 3D Shape Modeling and Analysis (4 papers), Advanced Text Analysis Techniques (4 papers), Blockchain Technology Applications and Security (3 papers), Semantic Web and Ontologies (3 papers), Smart Agriculture and AI (3 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Information Systems (55 citations), Human-Computer Interaction (13 citations), Health Informatics (3 citations), Signal Processing (24 citations) and Computer Graphics and Computer-Aided Design (7 citations). Kok-Why Ng has collaborated with scholars based in Malaysia, Indonesia and India. Frequent co-authors include Su-Cheng Haw, Palanichamy Naveen, Morteza SaberiKamarposhti, Mehdi Yadollahi, Fang-Fang Chua, Majid Khorami, Hesam Kamyab, C. Eswaran, Junaidi Abdullah and Mona Moradi. Their work appears in journals such as MethodsX, Pattern Recognition Letters, Environmental Research, IEEE Access and Heliyon.
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.