Man–Leung Wong

1.1k citations
40 papers · 771 indexed · h-index 15
Topics
Metaheuristic Optimization Algorithms Research (16 papers)Evolutionary Algorithms and Applications (16 papers)Advanced Multi-Objective Optimization Algorithms (7 papers)
Partner nations
Hong KongChinaAustralia

In The Last Decade

Man–Leung Wong

37 papers receiving 717 citations

Peers

Man–Leung Wong
Comparison fields: 5 of 112
  • Artificial Intelligence 412
  • Genetics 179
  • Computational Theory and Mathematics 114
  • Epidemiology 101
  • Computer Vision and Pattern Recognition 87
Replace Xinze Lian with:
Xinze Lian China
Vincenzo Cutello Italy
Hongwei Wu United States
Michael de la Maza United States
Ying-ping Chen Taiwan
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José Ramón Quevedo Spain
Hüseyin Şeker United Kingdom
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Citations per field
00.5×3.3×
Xinze Lian · 1×
Citations per year

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
#WorkIndexed citations
1 4
2 17
3 2
4 6
5 3
6 12
7 7
8 16
9 2
10 4
11 48
12 3
13 3
14 4
15 44
16 183
17 18
18 1
19
An Integrated Self-Organizing Map for the Traveling Salesman Problem
6
20 2

About Man–Leung Wong

Man–Leung Wong is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Signal Processing, having authored 40 papers that have together received 771 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (16 papers), Evolutionary Algorithms and Applications (16 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). The work is most often cited by research in Artificial Intelligence (412 citations), Computational Theory and Mathematics (114 citations) and Genetics (179 citations). Man–Leung Wong has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Kwong‐Sak Leung, Tien‐Tsin Wong, Huidong Jin, Tariq Ahmad, Alessandro Armuzzi, Kwong‐Sak Leung, Rupert W. Leong, Joseph J.�Y. Sung, D P Jewell and P. Tse. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Expert Systems with Applications.

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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