E.F. Khor

1.2k total citations
20 papers, 807 citations indexed

About

E.F. Khor is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, E.F. Khor has authored 20 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 14 papers in Computational Theory and Mathematics and 5 papers in Control and Systems Engineering. Recurrent topics in E.F. Khor's work include Advanced Multi-Objective Optimization Algorithms (14 papers), Metaheuristic Optimization Algorithms Research (13 papers) and Evolutionary Algorithms and Applications (9 papers). E.F. Khor is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (14 papers), Metaheuristic Optimization Algorithms Research (13 papers) and Evolutionary Algorithms and Applications (9 papers). E.F. Khor collaborates with scholars based in Singapore and United States. E.F. Khor's co-authors include Kay Chen Tan, T. H. Lee, Tae-Hee Lee, T.H. Lee, Deborah Khoo, Tong Heng Lee, Jianfeng Cai, Tae Hee Lee, Ke Tan and Chi-Keong Goh and has published in prestigious journals such as Fuzzy Sets and Systems, IEEE Transactions on Evolutionary Computation and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

In The Last Decade

E.F. Khor

20 papers receiving 762 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E.F. Khor Singapore 12 455 426 104 94 79 20 807
Charles Newton Australia 10 333 0.7× 398 0.9× 90 0.9× 147 1.6× 76 1.0× 13 796
Abdel-Rahman Hedar Egypt 15 566 1.2× 751 1.8× 89 0.9× 77 0.8× 70 0.9× 67 1.2k
Susana Cecilia Esquivel Argentina 15 413 0.9× 550 1.3× 109 1.0× 134 1.4× 142 1.8× 46 878
Jarosław Arabas Poland 12 339 0.7× 587 1.4× 111 1.1× 55 0.6× 121 1.5× 48 911
Sedigheh Mahdavi Canada 10 425 0.9× 693 1.6× 94 0.9× 79 0.8× 97 1.2× 20 960
Tetsuyuki Takahama Japan 14 793 1.7× 950 2.2× 103 1.0× 88 0.9× 80 1.0× 82 1.2k
Keith E. Mathias United States 13 448 1.0× 730 1.7× 68 0.7× 195 2.1× 48 0.6× 22 1.1k
Masaharu Munetomo Japan 15 212 0.5× 467 1.1× 57 0.5× 66 0.7× 103 1.3× 103 802
Aurora Pozo Brazil 21 433 1.0× 673 1.6× 103 1.0× 147 1.6× 93 1.2× 136 1.5k
Tatsuya Okabe Germany 8 340 0.7× 349 0.8× 80 0.8× 72 0.8× 60 0.8× 12 757

Countries citing papers authored by E.F. Khor

Since Specialization
Citations

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

Fields of papers citing papers by E.F. Khor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.F. Khor. 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 E.F. Khor. The network helps show where E.F. Khor may publish in the future.

Co-authorship network of co-authors of E.F. Khor

This figure shows the co-authorship network connecting the top 25 collaborators of E.F. Khor. A scholar is included among the top collaborators of E.F. Khor 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 E.F. Khor. E.F. Khor 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.
Tan, Kay Chen, E.F. Khor, & Tong Heng Lee. (2005). Multiobjective Evolutionary Algorithms and Applications (Advanced Information and Knowledge Processing). Springer eBooks. 84(9). 95112–95112. 52 indexed citations
2.
Khor, E.F., Kay Chen Tan, T. H. Lee, & Chi-Keong Goh. (2005). A Study on Distribution Preservation Mechanism in Evolutionary Multi-Objective Optimization. Artificial Intelligence Review. 23(1). 31–33. 21 indexed citations
3.
Tan, Kay Chen, et al.. (2003). An Evolutionary Algorithm with Advanced Goal and Priority Specification for Multi-objective Optimization. Journal of Artificial Intelligence Research. 18. 183–215. 54 indexed citations
4.
Tan, Kay Chen, et al.. (2003). Evolutionary algorithms with goal and priority information for multi-objective optimization. 106–113. 21 indexed citations
5.
6.
Tan, Kay Chen, E.F. Khor, T. H. Lee, & Yuqiang Yang. (2003). A Tabu-Based Exploratory Evolutionary Algorithm for Multiobjective Optimization. Artificial Intelligence Review. 19(3). 231–260. 20 indexed citations
7.
Tan, Kay Chen, et al.. (2002). Automating the drug scheduling of cancer chemotherapy via evolutionary computation. Artificial Intelligence in Medicine. 25(2). 169–185. 49 indexed citations
8.
Tan, Kay Chen, T. H. Lee, & E.F. Khor. (2002). Evolutionary Algorithms for Multi-Objective Optimization: Performance Assessments and Comparisons. Artificial Intelligence Review. 17(4). 251–290. 187 indexed citations
9.
Tan, Kay Chen, T.H. Lee, & E.F. Khor. (2002). Evolutionary algorithms for multi-objective optimization: performance assessments and comparisons. 2. 979–986. 60 indexed citations
10.
Khor, E.F., Kay Chen Tan, & T. H. Lee. (2002). Learning the Search Range for Evolutionary Optimization in Dynamic Environments. Knowledge and Information Systems. 4(2). 228–255. 3 indexed citations
11.
Khor, E.F., et al.. (2002). Evolutionary algorithm with dynamic population size for multi-objective optimization. 4. 2768–2773. 10 indexed citations
12.
Khor, E.F., et al.. (2002). Multi-objective evolutionary algorithm with non-stationary search space. 1. 527–535. 1 indexed citations
13.
Tan, Kay Chen, T.H. Lee, Deborah Khoo, E.F. Khor, & Ramani Kannan. (2002). MOEA toolbox for computer aided multi-objective optimization. 1. 38–45. 4 indexed citations
14.
Tan, Kay Chen, et al.. (2002). Design and real-time implementation of a multivariable gyro-mirror line-of-sight stabilization platform. Fuzzy Sets and Systems. 128(1). 81–93. 23 indexed citations
15.
Tan, Kay Chen, et al.. (2001). Nonlinear constraint handling technique via angular transformation. Genetic and Evolutionary Computation Conference. 655–662. 1 indexed citations
16.
Tan, Kay Chen, et al.. (2001). Exploratory multi-objective evolutionary algorithm: performance study and comparisons. Genetic and Evolutionary Computation Conference. 647–654. 3 indexed citations
17.
Tan, Kay Chen, T.H. Lee, Deborah Khoo, & E.F. Khor. (2001). A multiobjective evolutionary algorithm toolbox for computer-aided multiobjective optimization. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 31(4). 537–556. 57 indexed citations
18.
Tan, Kay Chen, et al.. (2001). Automatic design of multi-variable quantitative feedback theory control systems via evolutionary computation. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering. 215(3). 245–259. 1 indexed citations
19.
Tan, Ke, Tae Hee Lee, Deborah Khoo, & E.F. Khor. (2001). Dynamic image sequence analysis using fuzzy measures. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 31(4). 557–572. 22 indexed citations
20.
Tan, Kay Chen, Tae-Hee Lee, & E.F. Khor. (2001). Evolutionary algorithms with dynamic population size and local exploration for multiobjective optimization. IEEE Transactions on Evolutionary Computation. 5(6). 565–588. 216 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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