Meng‐Hiot Lim

3.3k total citations · 2 hit papers
32 papers, 1.5k citations indexed

About

Meng‐Hiot Lim is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Meng‐Hiot Lim has authored 32 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Meng‐Hiot Lim's work include Metaheuristic Optimization Algorithms Research (14 papers), Evolutionary Algorithms and Applications (9 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Meng‐Hiot Lim is often cited by papers focused on Metaheuristic Optimization Algorithms Research (14 papers), Evolutionary Algorithms and Applications (9 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Meng‐Hiot Lim collaborates with scholars based in Singapore, United States and China. Meng‐Hiot Lim's co-authors include Yew-Soon Ong, Ning Zhu, Xianshun Chen, Kay Chen Tan, Bijaya Ketan Panigrahi, Liang Feng, Ferrante Neri, Ivor W. Tsang, Yuhui Shi and Giovanni Iacca and has published in prestigious journals such as Information Sciences, IEEE Transactions on Evolutionary Computation and International Journal of Production Research.

In The Last Decade

Meng‐Hiot Lim

30 papers receiving 1.4k citations

Hit Papers

A Multi-Facet Survey on Memetic Computation 2006 2026 2012 2019 2011 2006 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng‐Hiot Lim Singapore 15 941 499 252 166 160 32 1.5k
Julien Lepagnot France 9 679 0.7× 387 0.8× 220 0.9× 153 0.9× 184 1.1× 36 1.4k
Shih-Hsi Liu United States 14 1.3k 1.4× 717 1.4× 201 0.8× 173 1.0× 179 1.1× 40 2.0k
Thomas Weise China 23 1.0k 1.1× 454 0.9× 180 0.7× 286 1.7× 211 1.3× 105 1.9k
Ilhem Boussaïd Algeria 4 680 0.7× 398 0.8× 189 0.8× 136 0.8× 107 0.7× 4 1.3k
Robert Hinterding Australia 10 1.1k 1.2× 684 1.4× 249 1.0× 125 0.8× 84 0.5× 12 1.7k
Brad L. Miller United States 7 786 0.8× 405 0.8× 128 0.5× 145 0.9× 109 0.7× 7 1.5k
Isao Ono Japan 19 850 0.9× 629 1.3× 237 0.9× 203 1.2× 86 0.5× 103 1.7k
Xuewen Xia China 20 993 1.1× 569 1.1× 134 0.5× 161 1.0× 168 1.1× 78 1.5k
Rafael Stubs Parpinelli Brazil 13 811 0.9× 263 0.5× 120 0.5× 160 1.0× 192 1.2× 62 1.4k

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-authorship network of co-authors of Meng‐Hiot Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Meng‐Hiot Lim. A scholar is included among the top collaborators of Meng‐Hiot Lim 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 Meng‐Hiot Lim. Meng‐Hiot Lim 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.
Cheng, Tee Hiang, et al.. (2024). Potential distribution adjustment and parametric surrogate gradient in spiking neural networks. Neurocomputing. 620. 129189–129189.
2.
Yadav, Rajendra, Satyasai Jagannath Nanda, Prashant Singh Rana, & Meng‐Hiot Lim. (2023). Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences. Algorithms for intelligent systems. 4 indexed citations
3.
Hao, Guosheng, et al.. (2023). A deep hybrid transfer learning-based evolutionary algorithm and its application in the optimization of high-order problems. Soft Computing. 27(14). 9661–9672. 2 indexed citations
4.
Lim, Meng‐Hiot, et al.. (2016). Extreme learning machine for indoor location fingerprinting. Multidimensional Systems and Signal Processing. 28(3). 867–883. 11 indexed citations
5.
Shrivastava, Nitin Anand, Bijaya Ketan Panigrahi, & Meng‐Hiot Lim. (2014). Electricity price classification using extreme learning machines. Neural Computing and Applications. 27(1). 9–18. 24 indexed citations
6.
Miché, Yoan, Meng‐Hiot Lim, Amaury Lendasse, & Yew-Soon Ong. (2013). Meme representations for game agents. World Wide Web. 18(2). 215–234. 3 indexed citations
7.
Chang, Pei‐Chann, et al.. (2012). Memes co‐evolution strategies for fast convergence in solving single machine scheduling problems. International Journal of Production Research. 50(24). 7357–7377. 3 indexed citations
8.
Panigrahi, Bijaya Ketan, Yuhui Shi, & Meng‐Hiot Lim. (2011). Handbook of Swarm Intelligence: Concepts, Principles and Applications. DIAL (Catholic University of Leuven). 85 indexed citations
9.
Chen, Xianshun, Yew-Soon Ong, Meng‐Hiot Lim, & Kay Chen Tan. (2011). A Multi-Facet Survey on Memetic Computation. IEEE Transactions on Evolutionary Computation. 15(5). 591–607. 389 indexed citations breakdown →
11.
Iacca, Giovanni, Ferrante Neri, Ernesto Mininno, Yew-Soon Ong, & Meng‐Hiot Lim. (2011). Ockham’s Razor in memetic computing: Three stage optimal memetic exploration. Information Sciences. 188. 17–43. 115 indexed citations
12.
Lim, Meng‐Hiot, et al.. (2009). A proposition on memes and meta-memes in computing for higher-order learning. Memetic Computing. 1(2). 85–100. 89 indexed citations
13.
Ong, Yew-Soon, et al.. (2006). A development platform for Memetic Algorithm design. 2006. 1027–1032. 5 indexed citations
14.
Ong, Yew-Soon, et al.. (2006). Classification of adaptive memetic algorithms: a comparative study. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 36(1). 141–152. 388 indexed citations breakdown →
15.
Lim, Meng‐Hiot, et al.. (2006). A GA-ACO-local search hybrid algorithm for solving quadratic assignment problem. 599–606. 14 indexed citations
16.
Lim, Meng‐Hiot, et al.. (2005). APPLICATION OF EVOLUTIONARY ALGORITHM IN SUPPLY CHAIN MANAGEMENT. 6. 64. 2 indexed citations
17.
Agarwal, Amit, et al.. (2005). ACO for a new TSP in region coverage. 229. 1717–1722. 19 indexed citations
18.
Harary, Frank, et al.. (2004). Algorithms for derivation of structurally stable Hamiltonian signed graphs. International Journal of Computer Mathematics. 81(11). 1349–1356. 3 indexed citations
19.
Lim, Meng‐Hiot, et al.. (2002). Extensive Testing of a Hybrid Genetic Algorithm for Solving Quadratic Assignment Problems. Computational Optimization and Applications. 23(1). 47–64. 28 indexed citations
20.
Lim, Meng‐Hiot & Yoshiyasu Takefuji. (1988). A systematic approach to developing silicon inference processors for approximate reasoning. 1 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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