Pak-Kin Wong

823 total citations
28 papers, 658 citations indexed

About

Pak-Kin Wong is a scholar working on Control and Systems Engineering, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Pak-Kin Wong has authored 28 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 8 papers in Automotive Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Pak-Kin Wong's work include Air Quality Monitoring and Forecasting (6 papers), Machine Learning and ELM (6 papers) and Advanced Combustion Engine Technologies (6 papers). Pak-Kin Wong is often cited by papers focused on Air Quality Monitoring and Forecasting (6 papers), Machine Learning and ELM (6 papers) and Advanced Combustion Engine Technologies (6 papers). Pak-Kin Wong collaborates with scholars based in Macao, Hong Kong and Japan. Pak-Kin Wong's co-authors include Chi‐Man Vong, Yiping Li, Qingsong Xu, Zhi-Xin Yang, Yilong Yang, Jingyi Yang, Chuangquan Chen, Zhengchao Xie, Tomohiro Shimizu and Andrew Y. T. Leung and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and Neurocomputing.

In The Last Decade

Pak-Kin Wong

28 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pak-Kin Wong Macao 13 241 204 137 111 88 28 658
Sofiane Khadraoui United Arab Emirates 16 491 2.0× 155 0.8× 213 1.6× 150 1.4× 59 0.7× 67 871
Mehrdad Boroushaki Iran 18 327 1.4× 146 0.7× 260 1.9× 187 1.7× 81 0.9× 60 978
Quanli Liu China 16 161 0.7× 162 0.8× 222 1.6× 117 1.1× 37 0.4× 75 700
Arun K. Tangirala India 16 682 2.8× 120 0.6× 166 1.2× 150 1.4× 59 0.7× 89 1.1k
You Lv China 13 389 1.6× 136 0.7× 188 1.4× 186 1.7× 37 0.4× 46 863
Yue Song China 12 159 0.7× 118 0.6× 138 1.0× 122 1.1× 58 0.7× 35 617
Jian-Xun Peng United Kingdom 12 385 1.6× 317 1.6× 82 0.6× 62 0.6× 38 0.4× 23 709
Shuang Gao China 13 248 1.0× 126 0.6× 239 1.7× 141 1.3× 24 0.3× 56 622
Shaopeng Dong China 6 441 1.8× 110 0.5× 101 0.7× 167 1.5× 54 0.6× 15 730

Countries citing papers authored by Pak-Kin Wong

Since Specialization
Citations

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

Fields of papers citing papers by Pak-Kin Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pak-Kin Wong. 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 Pak-Kin Wong. The network helps show where Pak-Kin Wong may publish in the future.

Co-authorship network of co-authors of Pak-Kin Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Pak-Kin Wong. A scholar is included among the top collaborators of Pak-Kin Wong 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 Pak-Kin Wong. Pak-Kin Wong 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.
Vong, Chi‐Man, et al.. (2016). Encrypted image classification based on multilayer extreme learning machine. Multidimensional Systems and Signal Processing. 28(3). 851–865. 30 indexed citations
2.
Xie, Zhengchao, et al.. (2014). A numerical investigation on active engine mounting systems and its optimization. Journal of Vibroengineering. 16(7). 3273–3280. 1 indexed citations
3.
Vong, Chi‐Man, et al.. (2014). Imbalanced Learning for Air Pollution by Meta-Cognitive Online Sequential Extreme Learning Machine. Cognitive Computation. 7(3). 381–391. 25 indexed citations
4.
5.
Vong, Chi‐Man, et al.. (2014). Fast detection of impact location using kernel extreme learning machine. Neural Computing and Applications. 27(1). 121–130. 57 indexed citations
6.
Vong, Chi‐Man, et al.. (2013). Predicting minority class for suspended particulate matters level by extreme learning machine. Neurocomputing. 128. 136–144. 41 indexed citations
7.
Vong, Chi‐Man, et al.. (2013). Simultaneous-Fault Diagnosis of Automotive Engine Ignition Systems Using Prior Domain Knowledge and Relevance Vector Machine. Mathematical Problems in Engineering. 2013. 1–19. 13 indexed citations
8.
Vong, Chi‐Man, et al.. (2012). Short-Term Prediction of Air Pollution in Macau Using Support Vector Machines. Journal of Control Science and Engineering. 2012. 1–11. 26 indexed citations
9.
Vong, Chi‐Man, et al.. (2012). A New Framework of Simultaneous-Fault Diagnosis Using Pairwise Probabilistic Multi-Label Classification for Time-Dependent Patterns. IEEE Transactions on Industrial Electronics. 60(8). 3372–3385. 68 indexed citations
10.
Wong, Pak-Kin, et al.. (2012). Model Predictive Engine Air-Ratio Control Using Online Sequential Relevance Vector Machine. Journal of Control Science and Engineering. 2012. 1–15. 10 indexed citations
11.
Vong, Chi‐Man, et al.. (2011). Case-based expert system using wavelet packet transform and kernel-based feature manipulation for engine ignition system diagnosis. Engineering Applications of Artificial Intelligence. 24(7). 1281–1294. 19 indexed citations
12.
Vong, Chi‐Man, et al.. (2011). Framework of vehicle emission inspection and control through RFID and traffic lights. 38. 597–600. 13 indexed citations
13.
Wong, Pak-Kin, et al.. (2011). Rate-Dependent Hysteresis Modeling and Control of a Piezostage Using Online Support Vector Machine and Relevance Vector Machine. IEEE Transactions on Industrial Electronics. 59(4). 1988–2001. 141 indexed citations
14.
15.
Wong, Pak-Kin, Chi‐Man Vong, Ke Li, et al.. (2010). Modelling and Prediction of Spark-ignition Engine Power Performance Using Incremental Least Squares Support Vector Machines. AIP conference proceedings. 179–184. 11 indexed citations
16.
Vong, Chi‐Man & Pak-Kin Wong. (2009). Case-based adaptation for automotive engine electronic control unit calibration. Expert Systems with Applications. 37(4). 3184–3194. 15 indexed citations
17.
Wong, Pak-Kin. (2007). Dynamic model and simulation of a novel electro-hydraulic fully variable valve system for four-stroke automotive engines. Chinese Journal of Mechanical Engineering. 20(5). 80–80. 2 indexed citations
18.
Wong, Pak-Kin, et al.. (2006). Reliability of tunneling magnetoresistance recording head-lifetime, failure mode, and production screening. IEEE Transactions on Magnetics. 42(2). 232–236. 7 indexed citations
19.
Vong, Chi‐Man, et al.. (2004). Modelling of modern automotive petrol engine performance using Support Vector Machines. Journal of Zhejiang University SCIENCE A. 6A(1). 1–8. 2 indexed citations
20.
Wong, Pak-Kin, et al.. (2002). Designing Chinese typeface using components. 6. 416–421. 7 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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