V. L. Huang

4.4k total citations · 1 hit paper
9 papers, 3.5k citations indexed

About

V. L. Huang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, V. L. Huang has authored 9 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 2 papers in Electrical and Electronic Engineering. Recurrent topics in V. L. Huang's work include Evolutionary Algorithms and Applications (7 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Metaheuristic Optimization Algorithms Research (7 papers). V. L. Huang is often cited by papers focused on Evolutionary Algorithms and Applications (7 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Metaheuristic Optimization Algorithms Research (7 papers). V. L. Huang collaborates with scholars based in Singapore, Switzerland and India. V. L. Huang's co-authors include Ponnuthurai Nagaratnam Suganthan, A. K. Qin, Jing Liang, Sen Zhao, Rammohan Mallipeddi, M. Fatih Tasgetiren, Chi Chiu Chan, Kalyanmoy Deb, Simon Huband and Eckart Zitzler and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, IEEE Photonics Technology Letters and International Journal of Intelligent Systems.

In The Last Decade

V. L. Huang

9 papers receiving 3.4k citations

Hit Papers

Differential Evolution Algorithm With Strategy Adaptation... 2008 2026 2014 2020 2008 500 1000 1.5k 2.0k 2.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization
    2008 2.8k citations A. K. Qin, V. L. Huang et al. IEEE Transactions on Evolutionary Computation profile →

Peers

V. L. Huang
Borko Boškovič Slovenia
V. Žumer Slovenia
Guangming Lin China
Rui Mendes Portugal
Uday K. Chakraborty United States
Anne Auger France
Shubham Gupta India
M. Montaz Ali South Africa
Abdolreza Hatamlou Iran
Mehrdad Mahdavi United States
Borko Boškovič Slovenia
V. L. Huang
Citations per year, relative to V. L. Huang V. L. Huang (= 1×) peers Borko Boškovič

Countries citing papers authored by V. L. Huang

Since Specialization
Citations

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

Fields of papers citing papers by V. L. Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. L. Huang. 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 V. L. Huang. The network helps show where V. L. Huang may publish in the future.

Co-authorship network of co-authors of V. L. Huang

This figure shows the co-authorship network connecting the top 25 collaborators of V. L. Huang. A scholar is included among the top collaborators of V. L. Huang 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 V. L. Huang. V. L. Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Huang, V. L., Sen Zhao, Rammohan Mallipeddi, & Ponnuthurai Nagaratnam Suganthan. (2009). Multi-objective optimization using self-adaptive differential evolution algorithm. 190–194. 101 indexed citations
2.
Qin, A. K., V. L. Huang, & Ponnuthurai Nagaratnam Suganthan. (2008). Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization. IEEE Transactions on Evolutionary Computation. 13(2). 398–417. 2806 indexed citations breakdown →
3.
Huang, V. L., A. K. Qin, Ponnuthurai Nagaratnam Suganthan, & M. Fatih Tasgetiren. (2007). Multi-objective optimization based on self-adaptive differential evolution algorithm. 3601–3608. 67 indexed citations
4.
Huang, V. L., Kalyanmoy Deb, Eckart Zitzler, et al.. (2007). Problem Definitions for Performance Assessment of Multi-objective Optimization Algorithms. 54 indexed citations
5.
Huang, V. L., Ponnuthurai Nagaratnam Suganthan, & Jing Liang. (2006). Comprehensive learning particle swarm optimizer for solving multiobjective optimization problems: Research Articles. Journal of Intelligent Systems. 21(2). 209–226. 25 indexed citations
6.
Liang, Jing, Ponnuthurai Nagaratnam Suganthan, Chi Chiu Chan, & V. L. Huang. (2006). Wavelength detection in FBG sensor network using tree search DMS-PSO. IEEE Photonics Technology Letters. 18(12). 1305–1307. 38 indexed citations
7.
Huang, V. L., A. K. Qin, & Ponnuthurai Nagaratnam Suganthan. (2006). Self-adaptive Differential Evolution Algorithm for Constrained Real-Parameter Optimization. 17–24. 275 indexed citations
8.
Huang, V. L., Ponnuthurai Nagaratnam Suganthan, & Jing Liang. (2005). Comprehensive learning particle swarm optimizer for solving multiobjective optimization problems. International Journal of Intelligent Systems. 21(2). 209–226. 125 indexed citations
9.
Liang, Jing, Chi Chiu Chan, V. L. Huang, & Ponnuthurai Nagaratnam Suganthan. (2005). Improving the performance of a FBG sensor network using a novel dynamic multi-swarm particle swarm optimizer. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5998. 59980O–59980O. 16 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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