Vui Ann Shim

624 total citations
20 papers, 468 citations indexed

About

Vui Ann Shim is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vui Ann Shim has authored 20 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vui Ann Shim's work include Metaheuristic Optimization Algorithms Research (10 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Evolutionary Algorithms and Applications (7 papers). Vui Ann Shim is often cited by papers focused on Metaheuristic Optimization Algorithms Research (10 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Evolutionary Algorithms and Applications (7 papers). Vui Ann Shim collaborates with scholars based in Singapore, China and Australia. Vui Ann Shim's co-authors include Kay Chen Tan, Huajin Tang, C. Y. Cheong, Haizhou Li, Nikhil R. Pal, Miaolong Yuan, Bo Tian, Abdullah Al Mamun, Bo Tian and Chi-Keong Goh and has published in prestigious journals such as Information Sciences, IEEE Transactions on Cybernetics and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Vui Ann Shim

20 papers receiving 455 citations

Peers

Vui Ann Shim

CTM

CVPR

IME

Gourab Ghosh Roy India

Anna V. Kononova Netherlands

Nicolas Monmarché France

Ronggui Wang China

Marko Mitić Serbia

Xiao-Zhi Gao Finland

Sascha Lange Germany

Miao Liu China

Roland Hafner Germany

Gourab Ghosh Roy India

Vui Ann Shim

179 ×0.7

110 ×0.5

CTM

46 ×0.5

CVPR

109 ×1.5

26 ×0.4

IME

Citations per year, relative to Vui Ann Shim Vui Ann Shim (= 1×) peers Gourab Ghosh Roy

Countries citing papers authored by Vui Ann Shim

Since Specialization

Citations

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

Fields of papers citing papers by Vui Ann Shim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vui Ann Shim. 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 Vui Ann Shim. The network helps show where Vui Ann Shim may publish in the future.

Co-authorship network of co-authors of Vui Ann Shim

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

All Works

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20 of 20 papers shown

Shim, Vui Ann, et al.. (2018). Automatic Object Searching and Behavior Learning for Mobile Robots in Unstructured Environment by Deep Belief Networks. IEEE Transactions on Cognitive and Developmental Systems. 11(3). 395–404. 16 indexed citations

Shim, Vui Ann, et al.. (2017). Automatic object searching by a mobile robot with single RGB-D camera. 56–62. 5 indexed citations

Yuan, Miaolong, Bo Tian, Vui Ann Shim, Huajin Tang, & Haizhou Li. (2015). An Entorhinal-Hippocampal Model for Simultaneous Cognitive Map Building. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 28 indexed citations

Shim, Vui Ann, Bo Tian, Miaolong Yuan, Huajin Tang, & Haizhou Li. (2014). Direction-driven navigation using cognitive map for mobile robots. 17. 2639–2646. 15 indexed citations

Shim, Vui Ann, et al.. (2014). A Simplified Cerebellar Model with Priority-based Delayed Eligibility Trace Learning for Motor Control. 7(1). 26–38. 5 indexed citations

Tan, Kay Chen, et al.. (2014). Online Diversity Assessment in Evolutionary Multiobjective Optimization: A Geometrical Perspective. IEEE Transactions on Evolutionary Computation. 19(4). 542–559. 45 indexed citations

Shim, Vui Ann, Kay Chen Tan, & Huajin Tang. (2014). Adaptive Memetic Computing for Evolutionary Multiobjective Optimization. IEEE Transactions on Cybernetics. 45(4). 610–621. 69 indexed citations

Shim, Vui Ann, et al.. (2013). An Energy-Based Sampling Technique for Multi-Objective Restricted Boltzmann Machine. IEEE Transactions on Evolutionary Computation. 17(6). 767–785. 7 indexed citations

Shim, Vui Ann, et al.. (2013). Enhancing the scalability of multi-objective optimization via restricted Boltzmann machine-based estimation of distribution algorithm. Information Sciences. 248. 191–213. 19 indexed citations

10.

Tian, Bo, et al.. (2013). RGB-D based cognitive map building and navigation. 1562–1567. 27 indexed citations

11.

Tang, Huajin, Bo Tian, Vui Ann Shim, & Kay Chen Tan. (2013). A neuro-cognitive system and its application in robotics. National University of Singapore. 8. 406–411. 4 indexed citations

12.

Shim, Vui Ann, Kay Chen Tan, & C. Y. Cheong. (2012). A Hybrid Estimation of Distribution Algorithm with Decomposition for Solving the Multiobjective Multiple Traveling Salesman Problem. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 42(5). 682–691. 93 indexed citations

13.

Shim, Vui Ann, et al.. (2012). Multi-Objective Optimization with Estimation of Distribution Algorithm in a Noisy Environment. Evolutionary Computation. 21(1). 149–177. 32 indexed citations

14.

Shim, Vui Ann, et al.. (2012). A hybrid estimation of distribution algorithm for solving the multi-objective multiple traveling salesman problem. National University of Singapore. 171. 1–8. 23 indexed citations

15.

Shim, Vui Ann, et al.. (2012). A hybrid adaptive evolutionary algorithm in the domination-based and decomposition-based frameworks of multi-objective optimization. National University of Singapore. 13 indexed citations

16.

Shim, Vui Ann, et al.. (2011). Evolutionary algorithms for solving multi-objective travelling salesman problem. Flexible Services and Manufacturing Journal. 23(2). 207–241. 14 indexed citations

17.

Goh, Chi-Keong, et al.. (2011). A data mining approach to evolutionary optimisation of noisy multi-objective problems. International Journal of Systems Science. 43(7). 1217–1247. 13 indexed citations

18.

Goh, Chi-Keong, et al.. (2011). Memetic informed evolutionary optimization via data mining. Memetic Computing. 3(2). 73–87. 15 indexed citations

19.

Tang, Huajin, et al.. (2010). Restricted Boltzmann machine based algorithm for multi-objective optimization. National University of Singapore. 1–8. 23 indexed citations

20.

Shim, Vui Ann, et al.. (2010). An investigation on sampling technique for multi-objective restricted Boltzmann machine. National University of Singapore. 1–8. 2 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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