Suet-Peng Yong

639 total citations
33 papers, 390 citations indexed

About

Suet-Peng Yong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ocean Engineering. According to data from OpenAlex, Suet-Peng Yong has authored 33 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 5 papers in Ocean Engineering. Recurrent topics in Suet-Peng Yong's work include Video Surveillance and Tracking Methods (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Reservoir Engineering and Simulation Methods (5 papers). Suet-Peng Yong is often cited by papers focused on Video Surveillance and Tracking Methods (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Reservoir Engineering and Simulation Methods (5 papers). Suet-Peng Yong collaborates with scholars based in Malaysia, New Zealand and Canada. Suet-Peng Yong's co-authors include Sameer Khan, Said Jadid Abdulkadir, Jeremiah D. Deng, Martin Purvis, Nordin Zakaria, Evgeny Osipov, William Pao, Denis Kleyko, Baharum Baharudin and Low Tang Jung and has published in prestigious journals such as Pattern Recognition, Multimedia Tools and Applications and Soft Computing.

In The Last Decade

Suet-Peng Yong

32 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suet-Peng Yong Malaysia 12 168 127 49 36 32 33 390
Alhassan Mumuni Ghana 7 131 0.8× 137 1.1× 37 0.8× 28 0.8× 15 0.5× 11 531
Fuseini Mumuni Ghana 7 131 0.8× 137 1.1× 37 0.8× 28 0.8× 15 0.5× 12 535
Khaled Bayoudh Tunisia 5 173 1.0× 135 1.1× 24 0.5× 25 0.7× 20 0.6× 6 408
Fayçal Hamdaoui Tunisia 8 228 1.4× 146 1.1× 25 0.5× 22 0.6× 33 1.0× 25 448
Sandeep Singh Sengar India 13 247 1.5× 92 0.7× 53 1.1× 57 1.6× 17 0.5× 38 522
Chunjiang Ge China 5 258 1.5× 156 1.2× 28 0.6× 25 0.7× 19 0.6× 7 463
Honghui Fan China 10 158 0.9× 88 0.7× 25 0.5× 30 0.8× 22 0.7× 49 363
Zhiguo Yu China 8 128 0.8× 125 1.0× 63 1.3× 30 0.8× 29 0.9× 9 412
Xun Gong China 12 206 1.2× 163 1.3× 32 0.7× 49 1.4× 16 0.5× 72 635
Jiajia Li China 9 167 1.0× 118 0.9× 37 0.8× 20 0.6× 10 0.3× 36 482

Countries citing papers authored by Suet-Peng Yong

Since Specialization
Citations

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

Fields of papers citing papers by Suet-Peng Yong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suet-Peng Yong. 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 Suet-Peng Yong. The network helps show where Suet-Peng Yong may publish in the future.

Co-authorship network of co-authors of Suet-Peng Yong

This figure shows the co-authorship network connecting the top 25 collaborators of Suet-Peng Yong. A scholar is included among the top collaborators of Suet-Peng Yong 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 Suet-Peng Yong. Suet-Peng Yong 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.
Yong, Suet-Peng, et al.. (2024). Testing a Vision-Based Autonomous Drone Navigation Model in a Forest Environment. Algorithms. 17(4). 139–139. 4 indexed citations
2.
Yong, Suet-Peng, et al.. (2018). Human Object Detection in Forest with Deep Learning based on Drone’s Vision. 1–5. 39 indexed citations
3.
Khan, Sameer & Suet-Peng Yong. (2017). A deep learning architecture for classifying medical images of anatomy object. 1661–1668. 32 indexed citations
4.
Kleyko, Denis, Sameer Khan, Evgeny Osipov, & Suet-Peng Yong. (2017). Modality classification of medical images with distributed representations based on cellular automata reservoir computing. 1053–1056. 17 indexed citations
5.
Yong, Suet-Peng, et al.. (2017). Motion Detection Using Drone's Vision. 108–112. 5 indexed citations
6.
Abdulkadir, Said Jadid, Suet-Peng Yong, & Nordin Zakaria. (2016). Hybrid Neural Network Model for Metocean Data Analysis. 8(4). 245–251. 12 indexed citations
7.
Yong, Suet-Peng, et al.. (2016). Droopy Mouth Detection Model in stroke warning. 2. 616–621. 8 indexed citations
8.
Abdulkadir, Said Jadid, et al.. (2016). An enhanced ELMAN-NARX hybrid model for FTSE Bursa Malaysia KLCI index forecasting. 47. 304–309. 5 indexed citations
9.
Yong, Suet-Peng, et al.. (2016). Human action recognition in surveillance video of a computer laboratory. 6. 418–423. 2 indexed citations
10.
Yong, Suet-Peng, et al.. (2016). Dynamic Surrogate Reservoir Model with well constraints. 639–644. 3 indexed citations
11.
Abdulkadir, Said Jadid & Suet-Peng Yong. (2015). Scaled UKF–NARX hybrid model for multi-step-ahead forecasting of chaotic time series data. Soft Computing. 19(12). 3479–3496. 24 indexed citations
12.
Yong, Suet-Peng, et al.. (2015). Human tracking in video surveillance using particle filter. 83–88.
13.
Khan, Sameer, Suet-Peng Yong, & Jeremiah D. Deng. (2015). Ensemble classification with modified SIFT descriptor for medical image modality. 7. 1–6. 8 indexed citations
14.
Abdulkadir, Said Jadid & Suet-Peng Yong. (2015). Lorenz time-series analysis using a scaled hybrid model. 373–378. 6 indexed citations
15.
Yong, Suet-Peng, et al.. (2014). Prediction of Bottom-Hole Flowing Pressure using general regression neural network. 27. 1–5. 1 indexed citations
16.
Abdulkadir, Said Jadid & Suet-Peng Yong. (2014). Empirical analysis of parallel-NARX recurrent network for long-term chaotic financial forecasting. 1–6. 15 indexed citations
17.
Yong, Suet-Peng, et al.. (2013). People Detection Enrichment for Abnormal Human Activity Detection. 2 indexed citations
18.
Yong, Suet-Peng, Jeremiah D. Deng, & Martin Purvis. (2012). Novelty detection in wildlife scenes through semantic context modelling. Pattern Recognition. 45(9). 3439–3450. 19 indexed citations
19.
Yong, Suet-Peng, et al.. (2012). Distance-based hoax detection system. 16. 215–220. 8 indexed citations
20.
Yong, Suet-Peng, Jeremiah D. Deng, & Martin Purvis. (2012). Key-frame extraction of wildlife video based on semantic context modeling. Zenodo (CERN European Organization for Nuclear Research). 1. 1–8. 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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