Theam Foo Ng

804 total citations
40 papers, 458 citations indexed

About

Theam Foo Ng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Theam Foo Ng has authored 40 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Computational Theory and Mathematics. Recurrent topics in Theam Foo Ng's work include Evolutionary Algorithms and Applications (6 papers), Metaheuristic Optimization Algorithms Research (6 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Theam Foo Ng is often cited by papers focused on Evolutionary Algorithms and Applications (6 papers), Metaheuristic Optimization Algorithms Research (6 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Theam Foo Ng collaborates with scholars based in Malaysia, China and Australia. Theam Foo Ng's co-authors include Haidi Ibrahim, Shir Li Wang, Siok Yee Chan, Chen Kim Lim, Kian Lam Tan, Minhaz Farid Ahmed, Rostam Affendi Hamzah, Tuan D. Pham, Siew Chin Neoh and Rafidah Zainon and has published in prestigious journals such as Chemosphere, IEEE Access and Sensors.

In The Last Decade

Theam Foo Ng

37 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Theam Foo Ng Malaysia 11 167 110 103 77 48 40 458
Juan Ramón Rico-Juan Spain 14 154 0.9× 15 0.1× 34 0.3× 319 4.1× 11 0.2× 38 608
Wahidah Hashim Malaysia 14 36 0.2× 29 0.3× 40 0.4× 88 1.1× 7 0.1× 123 674
Han Cao China 12 66 0.4× 88 0.8× 108 1.0× 200 2.6× 2 0.0× 31 678
Indrajit Bhattacharya India 11 50 0.3× 77 0.7× 57 0.6× 58 0.8× 6 0.1× 33 443
Benedita Malheiro Portugal 11 21 0.1× 56 0.5× 92 0.9× 74 1.0× 10 0.2× 69 415
Miguel Torres-Ruiz Mexico 12 60 0.4× 21 0.2× 24 0.2× 94 1.2× 2 0.0× 57 402
Zaidi Razak Malaysia 13 131 0.8× 52 0.5× 35 0.3× 130 1.7× 6 0.1× 40 522
Sofianita Mutalib Malaysia 12 72 0.4× 13 0.1× 12 0.1× 103 1.3× 11 0.2× 74 414

Countries citing papers authored by Theam Foo Ng

Since Specialization
Citations

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

Fields of papers citing papers by Theam Foo Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Theam Foo 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 Theam Foo Ng. The network helps show where Theam Foo Ng may publish in the future.

Co-authorship network of co-authors of Theam Foo Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Theam Foo Ng. A scholar is included among the top collaborators of Theam Foo 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 Theam Foo Ng. Theam Foo 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, Theam Foo, et al.. (2025). Measures and barriers in the implementation of higher education in sustainable fashion design: a systematic literature review. International Journal of Sustainability in Higher Education. 27(4). 938–961.
2.
Zaidan, B. B., Weiping Ding, Hassan A. Alsattar, et al.. (2024). Exploration and development of a structured multi-level fusion in an ensemble-based large-scale meta-decision model. Information Fusion. 117. 102911–102911. 6 indexed citations
3.
Shafiei, Mohd Wira Mohd, et al.. (2024). Unlocking the potential of natural resources, fintech and fiscal policy for carbon neutrality; evidence from N-11 nations. Resources Policy. 98. 105344–105344. 1 indexed citations
4.
Shafiei, Mohd Wira Mohd, et al.. (2024). The intersection of economic growth and environmental sustainability in China: Pathways to achieving SDG. Energy Strategy Reviews. 55. 101530–101530. 13 indexed citations
5.
6.
Rahman, Norazah Abd, Shir Li Wang, Theam Foo Ng, & Amr S. Ghoneim. (2024). Artificial Intelligence in Education: A Systematic Review of Machine Learning for Predicting Student Performance. Journal of Advanced Research in Applied Sciences and Engineering Technology. 54(1). 198–221.
7.
Wang, Shir Li, et al.. (2023). Convolutional neural network optimized by differential evolution for electrocardiogram classification. Multimedia Tools and Applications. 82(29). 45811–45837. 4 indexed citations
8.
Ibrahim, Haidi, et al.. (2023). LCAM: Low-Complexity Attention Module for Lightweight Face Recognition Networks. Mathematics. 11(7). 1694–1694. 1 indexed citations
9.
Filho, Walter Leal, Jelena Barbir, Pınar Gökçin Özuyar, et al.. (2022). Assessing Provisions and Requirements for the Sustainable Production of Plastics: Towards Achieving SDG 12 from the Consumers’ Perspective. Sustainability. 14(24). 16542–16542. 5 indexed citations
10.
11.
Yuan, Lei, et al.. (2022). A Federated Learning Framework Based on Incremental Weighting and Diversity Selection for Internet of Vehicles. Electronics. 11(22). 3668–3668. 11 indexed citations
12.
Lim, Chen Kim, et al.. (2022). Systematic Review of Education Sustainable Development in Higher Education Institutions. Sustainability. 14(20). 13241–13241. 51 indexed citations
13.
Filho, Walter Leal, Maria Alzira Pimenta Dinis, Subarna Sivapalan, et al.. (2021). Sustainability practices at higher education institutions in Asia. International Journal of Sustainability in Higher Education. 23(6). 1250–1276. 32 indexed citations
14.
Assi, Reem Abou, et al.. (2021). Statistical Analysis of Green Laboratory Practice Survey: Conservation on Non-Distilled Water from Distillation Process. Water. 13(15). 2018–2018. 1 indexed citations
15.
Ng, Theam Foo, et al.. (2016). Malaysia's EOC Strategy in Strengthening the Science Knowledge, Awareness and National Interest Towards the Polar Regions. The International Journal of Environmental and Science Education. 11(12). 5516–5532. 1 indexed citations
16.
Ng, Theam Foo, et al.. (2016). Strengthening Scientific Literacy on Polar Regions through Education, Outreach and Communication (EOC).. The International Journal of Environmental and Science Education. 11(12). 5498–5515. 2 indexed citations
17.
Wang, Shir Li, et al.. (2015). Self-adapting approach in parameter tuning for differential evolution. 113–119. 3 indexed citations
18.
Ng, Theam Foo, Tuan D. Pham, & Xiuping Jia. (2012). Feature interaction in subspace clustering using the Choquet integral. Pattern Recognition. 45(7). 2645–2660. 11 indexed citations
19.
Ibrahim, Haidi, et al.. (2012). Impulse Noise Model and Its Variations. International Journal of Computer and Electrical Engineering. 647–650. 6 indexed citations
20.
Ibrahim, Haidi, et al.. (2008). Simple adaptive median filter for the removal of impulse noise from highly corrupted images. IEEE Transactions on Consumer Electronics. 54(4). 1920–1927. 135 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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