Meng‐Hiot Lim

3.3k citations
33 papers · 1.5k · 2 hit papers · h-index 15

Impact in

Papers in

Meng‐Hiot Lim

31 papers receiving 1.4k citations

Meng‐Hiot Lim's Hit Papers

A Multi-Facet Survey on Memetic Computation 2011 · 389 citations
3890+6+13Years since publication100200300

Peers

Meng‐Hiot Lim
Comparison fields: 5 of 107
  • Computational Theory and Mathematics 497
  • Artificial Intelligence 938
  • Industrial and Manufacturing Engineering 253
  • Management Science and Operations Research 101
  • Computer Vision and Pattern Recognition 160
Replace Shih-Hsi Liu with:
Shih-Hsi Liu United States
Thomas Weise China
Carlos García‐Martínez Spain
Zahra Beheshti Iran
Robert Hinterding Australia
Julien Lepagnot France
Zhang Yon China
Xuewen Xia China
Rafael Stubs Parpinelli Brazil
Meng‐Hiot Lim relative to Shih-Hsi Liu United States Shih-Hsi Liu's profile →
Citations per field
00.5×1.5×
Shih-Hsi Liu · 1×
Citations per year

Countries citing papers authored by Meng‐Hiot Lim

Since Specialization
Citations

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

Fields of papers citing papers by Meng‐Hiot Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meng‐Hiot Lim. 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 Meng‐Hiot Lim. The network helps show where Meng‐Hiot Lim may publish in the future.

Co-authors

The 25 scholars most cited alongside Meng‐Hiot Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Meng‐Hiot Lim Line = papers co-authored together Meng‐Hiot Lim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Multi-Facet Survey on Memetic Computation
Hit paper breakdown →
2011389
2
Classification of adaptive memetic algorithms: a comparative study
Hit paper breakdown →
2006386
3 2015123
4 2011115
5 200989
6 201185
7 201633
8 200832
9 200228
10 200926
11 201424
12 201419
13 200519
14 201815
15 201114
16 200613
17 201611
18 20117
19 20055
20 20065

About Meng‐Hiot Lim

Meng‐Hiot Lim is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (14 papers), Evolutionary Algorithms and Applications (9 papers), Robotic Path Planning Algorithms (5 papers), Machine Learning and ELM (5 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Artificial Intelligence in Games (3 papers), Advanced Manufacturing and Logistics Optimization (3 papers) and Computational Geometry and Mesh Generation (3 papers). The work is most often cited by research in Computational Theory and Mathematics (497 citations), Artificial Intelligence (938 citations), Industrial and Manufacturing Engineering (253 citations), Management Science and Operations Research (101 citations) and Computer Vision and Pattern Recognition (160 citations). Meng‐Hiot Lim has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Yew-Soon Ong, Xianshun Chen, Kay Chen Tan, Ning Zhu, Bijaya Ketan Panigrahi, Liang Feng, Ferrante Neri, Ivor W. Tsang, Yuhui Shi and Giovanni Iacca. Their work appears in journals such as Soft Computing, Memetic Computing, IEEE Transactions on Evolutionary Computation, Computational Optimization and Applications and Neurocomputing.

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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