Shan Sung Liew

405 total citations
6 papers, 275 citations indexed

About

Shan Sung Liew is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Shan Sung Liew has authored 6 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 3 papers in Artificial Intelligence. Recurrent topics in Shan Sung Liew's work include Face and Expression Recognition (5 papers), Face recognition and analysis (4 papers) and Machine Learning and ELM (3 papers). Shan Sung Liew is often cited by papers focused on Face and Expression Recognition (5 papers), Face recognition and analysis (4 papers) and Machine Learning and ELM (3 papers). Shan Sung Liew collaborates with scholars based in Malaysia. Shan Sung Liew's co-authors include Rabia Bakhteri, Mohamed Khalil-Hani and Syafeeza Ahmad Radzi and has published in prestigious journals such as Neurocomputing, TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES and International Journal of Computational Intelligence and Applications.

In The Last Decade

Shan Sung Liew

6 papers receiving 266 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shan Sung Liew Malaysia	5	121	87	32	29	23	6	275
G Divya India	3	98 0.8×	68 0.8×	23 0.7×	16 0.6×	16 0.7×	6	327
Mohammed Ahmed Talab Malaysia	7	101 0.8×	49 0.6×	25 0.8×	18 0.6×	16 0.7×	10	260
Abdulrahman Alruban Saudi Arabia	6	69 0.6×	80 0.9×	21 0.7×	23 0.8×	14 0.6×	23	255
Musab Coşkun Türkiye	4	144 1.2×	60 0.7×	20 0.6×	51 1.8×	20 0.9×	5	309
Hussam Qassim United States	3	139 1.1×	100 1.1×	18 0.6×	20 0.7×	14 0.6×	4	348
Pengfei Xu China	9	194 1.6×	107 1.2×	18 0.6×	35 1.2×	12 0.5×	19	310
Yongsheng Sang China	11	160 1.3×	126 1.4×	41 1.3×	21 0.7×	11 0.5×	27	352
Swati Shilaskar India	7	72 0.6×	174 2.0×	45 1.4×	18 0.6×	11 0.5×	84	374
Bharti Khemani India	4	56 0.5×	92 1.1×	31 1.0×	13 0.4×	11 0.5×	7	305

Countries citing papers authored by Shan Sung Liew

Since Specialization

Citations

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

Fields of papers citing papers by Shan Sung Liew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shan Sung Liew. 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 Shan Sung Liew. The network helps show where Shan Sung Liew may publish in the future.

Co-authorship network of co-authors of Shan Sung Liew

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

All Works

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6 of 6 papers shown

1.

Liew, Shan Sung, Mohamed Khalil-Hani, & Rabia Bakhteri. (2016). Bounded activation functions for enhanced training stability of deep neural networks on visual pattern recognition problems. Neurocomputing. 216. 718–734. 115 indexed citations

2.

Liew, Shan Sung, et al.. (2016). Gender classication: a convolutional neural network approach. 1 indexed citations

3.

Liew, Shan Sung, Mohamed Khalil-Hani, & Rabia Bakhteri. (2016). An optimized second order stochastic learning algorithm for neural network training. Neurocomputing. 186. 74–89. 38 indexed citations

4.

Liew, Shan Sung, Mohamed Khalil-Hani, Syafeeza Ahmad Radzi, & Rabia Bakhteri. (2016). Gender classification: a convolutional neural network approach. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 24. 1248–1264. 59 indexed citations

5.

Khalil-Hani, Mohamed, et al.. (2015). Convolutional Neural Networks with Fused Layers Applied to Face Recognition. International Journal of Computational Intelligence and Applications. 14(3). 1550014–1550014. 11 indexed citations

6.

Khalil-Hani, Mohamed, et al.. (2014). Convolutional Neural Network for Face Recognition with Pose and Illumination Variation. 6(1). 44–57. 51 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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