Man–Leung Wong

1.1k total citations
40 papers, 771 citations indexed

About

Man–Leung Wong is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Man–Leung Wong has authored 40 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 10 papers in Computational Theory and Mathematics and 4 papers in Molecular Biology. Recurrent topics in Man–Leung Wong's work include Metaheuristic Optimization Algorithms Research (16 papers), Evolutionary Algorithms and Applications (16 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Man–Leung Wong is often cited by papers focused on Metaheuristic Optimization Algorithms Research (16 papers), Evolutionary Algorithms and Applications (16 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Man–Leung Wong collaborates with scholars based in Hong Kong, China and Australia. Man–Leung Wong's co-authors include Kwong‐Sak Leung, Tien‐Tsin Wong, Huidong Jin, P. Tse, D P Jewell, Alessandro Armuzzi, Rupert W. Leong, Tariq Ahmad, Joseph J.�Y. Sung and Kwong‐Sak Leung and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Expert Systems with Applications.

In The Last Decade

Man–Leung Wong

37 papers receiving 717 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Man–Leung Wong Hong Kong 15 412 179 114 101 87 40 771
Ying-ping Chen Taiwan 14 325 0.8× 62 0.3× 172 1.5× 24 0.2× 62 0.7× 79 790
Xinze Lian China 14 271 0.7× 113 0.6× 72 0.6× 31 0.3× 59 0.7× 32 725
Quan Yin China 14 94 0.2× 104 0.6× 26 0.2× 70 0.7× 27 0.3× 65 1.1k
Marc Sebban France 16 393 1.0× 9 0.1× 54 0.5× 66 0.7× 202 2.3× 55 763
Umberto Nanni Italy 15 189 0.5× 18 0.1× 210 1.8× 19 0.2× 80 0.9× 37 752
Yuexuan Wang China 17 148 0.4× 15 0.1× 67 0.6× 18 0.2× 81 0.9× 119 1.1k
Michael de la Maza United States 4 329 0.8× 8 0.0× 150 1.3× 48 0.5× 60 0.7× 8 837
Hüseyin Şeker United Kingdom 14 339 0.8× 10 0.1× 67 0.6× 53 0.5× 137 1.6× 106 880
G Lorette France 12 313 0.8× 22 0.1× 30 0.3× 52 0.5× 766 8.8× 52 1.3k

Countries citing papers authored by Man–Leung Wong

Since Specialization
Citations

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

Fields of papers citing papers by Man–Leung Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Man–Leung Wong. 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 Man–Leung Wong. The network helps show where Man–Leung Wong may publish in the future.

Co-authorship network of co-authors of Man–Leung Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Man–Leung Wong. A scholar is included among the top collaborators of Man–Leung Wong 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 Man–Leung Wong. Man–Leung Wong 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.
See-To, Eric W.K., et al.. (2024). Privacy-preserving federated learning for proactive maintenance of IoT-empowered multi-location smart city facilities. Journal of Network and Computer Applications. 231. 103996–103996. 4 indexed citations
2.
Ji, Jing–Yu, et al.. (2024). An ɛ-constrained multiobjective differential evolution with adaptive gradient-based repair method for real-world constrained optimization problems. Applied Soft Computing. 152. 111202–111202. 17 indexed citations
3.
Ji, Jing–Yu, et al.. (2024). Heat-Pipe-Constrained IoT Device Layout via Multiobjective Differential Evolution. IEEE Internet of Things Journal. 12(7). 8261–8275. 2 indexed citations
4.
Ji, Jing–Yu, Wei–Jie Yu, Man–Leung Wong, & Sam Kwong. (2024). Surrogate-Assisted Differential Evolution for Expensive Equality Constrained Optimization. 5325–5330.
5.
See-To, Eric W.K., et al.. (2022). Deep-Learning-Driven Proactive Maintenance Management of IoT-Empowered Smart Toilet. IEEE Internet of Things Journal. 10(3). 2417–2429. 6 indexed citations
6.
Leung, Kwong‐Sak, et al.. (2019). Probabilistic grammar-based neuroevolution for physiological signal classification of ventricular tachycardia. Expert Systems with Applications. 135. 237–248. 3 indexed citations
7.
Wong, Man–Leung, et al.. (2015). High-order dynamic Bayesian Network learning with hidden common causes for causal gene regulatory network. BMC Bioinformatics. 16(1). 395–395. 12 indexed citations
8.
Li, Haibing & Man–Leung Wong. (2015). Financial fraud detection by using Grammar-based multi-objective genetic programming with ensemble learning. Digital Commons - Lingnan (Lingnan University). 1113–1120. 16 indexed citations
9.
Wong, Man–Leung, et al.. (2015). Time Delayed Causal Gene Regulatory Network Inference with Hidden Common Causes. PLoS ONE. 10(9). e0138596–e0138596. 7 indexed citations
10.
Li, Haibing & Man–Leung Wong. (2014). Knowledge Discovering in Corporate Securities Fraud by Using Grammar Based Genetic Programming. Journal of Computer and Communications. 2(4). 148–156. 4 indexed citations
11.
Wong, Man–Leung, et al.. (2013). Applying Ant Colony Optimization to configuring stacking ensembles for data mining. Expert Systems with Applications. 41(6). 2688–2702. 48 indexed citations
12.
Wong, Man–Leung, et al.. (2012). Applying Ant Colony Optimization in configuring stacking ensemble. Digital Commons - Lingnan (Lingnan University). 2111–2116. 3 indexed citations
13.
Wong, Man–Leung, et al.. (2006). Learning Functional Dependency Networks Based on Genetic Programming. Digital Commons - Lingnan (Lingnan University). 394–401. 3 indexed citations
14.
Leung, Kwong‐Sak, et al.. (2006). Learning acyclic decision trees with Functional Dependency Network and MDL Genetic Programming. Digital Commons - Lingnan (Lingnan University). 2. 25–25. 4 indexed citations
15.
Wong, Man–Leung, et al.. (2005). Parallel Evolutionary Algorithms on Graphics Processing Unit. Digital Commons - Lingnan (Lingnan University). 3. 2286–2293. 44 indexed citations
16.
Leong, Rupert W., Alessandro Armuzzi, Tariq Ahmad, et al.. (2003). NOD2/CARD15 gene polymorphisms and Crohn's disease in the Chinese population. Alimentary Pharmacology & Therapeutics. 17(12). 1465–1470. 183 indexed citations
17.
Leung, Kwong‐Sak, et al.. (2002). Learning nonlinear multiregression networks based on evolutionary computation. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 32(5). 630–644. 18 indexed citations
18.
19.
Jin, Huidong, Kwong‐Sak Leung, & Man–Leung Wong. (2001). An Integrated Self-Organizing Map for the Traveling Salesman Problem. 235–240. 6 indexed citations
20.
Leung, Kwong‐Sak & Man–Leung Wong. (1991). Inducing and refining rule-based knowledge from inexact examples. 3(3). 291–315. 2 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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