Ka In Wong

727 total citations
21 papers, 576 citations indexed

About

Ka In Wong is a scholar working on Automotive Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Ka In Wong has authored 21 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Automotive Engineering, 10 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Ka In Wong's work include Machine Learning and ELM (10 papers), Advanced Battery Technologies Research (8 papers) and Fuel Cells and Related Materials (6 papers). Ka In Wong is often cited by papers focused on Machine Learning and ELM (10 papers), Advanced Battery Technologies Research (8 papers) and Fuel Cells and Related Materials (6 papers). Ka In Wong collaborates with scholars based in Macao, Hong Kong and China. Ka In Wong's co-authors include Pak Kin Wong, Chi‐Man Vong, C.S. Cheung, Xiang Gao, Jing Zhao, Jiahua Luo, Wei Huang, Zhengchao Xie, Tao Xu and Zhi-Xin Yang and has published in prestigious journals such as Energy Conversion and Management, Energy and Renewable Energy.

In The Last Decade

Ka In Wong

21 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ka In Wong Macao	13	190	177	150	141	122	21	576
Naveen Venkatesh Sridharan India	16	71 0.4×	135 0.8×	46 0.3×	76 0.5×	149 1.2×	79	727
Sergey Ushakov Norway	12	152 0.8×	61 0.3×	102 0.7×	115 0.8×	155 1.3×	16	779
Hussein Alahmer Jordan	16	68 0.4×	92 0.5×	106 0.7×	112 0.8×	183 1.5×	21	512
Özgür Ballı Türkiye	26	233 1.2×	139 0.8×	500 3.3×	160 1.1×	1.1k 9.4×	66	2.0k
Mohammadreza Tahan Malaysia	4	58 0.3×	39 0.2×	56 0.4×	69 0.5×	102 0.8×	8	479
Chenxing Sheng China	15	36 0.2×	56 0.3×	50 0.3×	84 0.6×	364 3.0×	55	782
Guotian Yang China	10	47 0.2×	64 0.4×	20 0.1×	49 0.3×	72 0.6×	41	476
İsmail Altın Türkiye	12	89 0.5×	29 0.2×	198 1.3×	101 0.7×	69 0.6×	19	379
Hechun Wang China	16	291 1.5×	23 0.1×	625 4.2×	242 1.7×	119 1.0×	63	928

Countries citing papers authored by Ka In Wong

Since Specialization

Citations

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

Fields of papers citing papers by Ka In Wong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ka In 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 Ka In Wong. The network helps show where Ka In Wong may publish in the future.

Co-authorship network of co-authors of Ka In Wong

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Huang, Wei, Pak Kin Wong, Ka In Wong, Chi‐Man Vong, & Jing Zhao. (2019). Adaptive neural control of vehicle yaw stability with active front steering using an improved random projection neural network. Vehicle System Dynamics. 59(3). 396–414. 37 indexed citations

Wong, Pak Kin, Xiang Gao, Ka In Wong, Chi‐Man Vong, & Zhi-Xin Yang. (2018). Initial-training-free online sequential extreme learning machine based adaptive engine air–fuel ratio control. International Journal of Machine Learning and Cybernetics. 10(9). 2245–2256. 10 indexed citations

Wong, Pak Kin, Xiang Gao, Ka In Wong, & Chi‐Man Vong. (2017). Online extreme learning machine based modeling and optimization for point-by-point engine calibration. Neurocomputing. 277. 187–197. 27 indexed citations

Wong, Pak Kin, Xiang Gao, Ka In Wong, & Chi‐Man Vong. (2017). Efficient point-by-point engine calibration using machine learning and sequential design of experiment strategies. Journal of the Franklin Institute. 355(4). 1517–1538. 13 indexed citations

Wong, Ka In & Pak Kin Wong. (2017). Optimal calibration of variable biofuel blend dual-injection engines using sparse Bayesian extreme learning machine and metaheuristic optimization. Energy Conversion and Management. 148. 1170–1178. 21 indexed citations

Wong, Pak Kin, Xiang Gao, Ka In Wong, & Chi‐Man Vong. (2016). An Analytical Study on Reasoning of Extreme Learning Machine for Classification from Its Inductive Bias. Cognitive Computation. 8(4). 746–756. 6 indexed citations

Gao, Xiang, Ka In Wong, Pak Kin Wong, & Chi‐Man Vong. (2016). Adaptive control of rapidly time-varying discrete-time system using initial-training-free online extreme learning machine. Neurocomputing. 194. 117–125. 13 indexed citations

Wong, Pak Kin, et al.. (2016). Online wavelet least-squares support vector machine fuzzy predictive control for engine lambda regulation. International Journal of Engine Research. 17(8). 866–885. 7 indexed citations

Wong, Pak Kin, et al.. (2015). Fault Tolerance Automotive Air-Ratio Control Using Extreme Learning Machine Model Predictive Controller. Mathematical Problems in Engineering. 2015. 1–10. 5 indexed citations

10.

Wong, Pak Kin, et al.. (2015). Development of a wireless inspection and notification system with minimum monitoring hardware for real-time vehicle engine health inspection. Transportation Research Part C Emerging Technologies. 58. 29–45. 2 indexed citations

11.

Xie, Zhengchao, et al.. (2014). Intelligent Multiobjective Slip and Speed Ratio Control of a Novel Dual‐Belt Continuously Variable Transmission for Automobiles. Mathematical Problems in Engineering. 2014(1). 1 indexed citations

12.

Wong, Ka In, Pak Kin Wong, & C.S. Cheung. (2014). Modelling and Prediction of Diesel Engine Performance using Relevance Vector Machine. International Journal of Green Energy. 12(3). 265–271. 16 indexed citations

13.

Wong, Ka In, Chi‐Man Vong, Pak Kin Wong, & Jiahua Luo. (2014). Sparse Bayesian extreme learning machine and its application to biofuel engine performance prediction. Neurocomputing. 149. 397–404. 51 indexed citations

14.

Wong, Pak Kin, Chi‐Man Vong, Xiang Gao, & Ka In Wong. (2014). Adaptive Control Using Fully Online Sequential‐Extreme Learning Machine and a Case Study on Engine Air‐Fuel Ratio Regulation. Mathematical Problems in Engineering. 2014(1). 18 indexed citations

15.

Wong, Pak Kin, Ka In Wong, Chi‐Man Vong, & C.S. Cheung. (2014). Modeling and optimization of biodiesel engine performance using kernel-based extreme learning machine and cuckoo search. Renewable Energy. 74. 640–647. 128 indexed citations

16.

Vong, Chi‐Man, Pak Kin Wong, & Ka In Wong. (2014). Simultaneous-fault detection based on qualitative symptom descriptions for automotive engine diagnosis. Applied Soft Computing. 22. 238–248. 26 indexed citations

17.

Xie, Zhengchao, et al.. (2013). A Noise-Insensitive Semi-Active Air Suspension for Heavy-Duty Vehicles with an Integrated Fuzzy-Wheelbase Preview Control. Mathematical Problems in Engineering. 2013. 1–12. 34 indexed citations

18.

Wong, Ka In, Pak Kin Wong, C.S. Cheung, & Chi‐Man Vong. (2013). Modelling of diesel engine performance using advanced machine learning methods under scarce and exponential data set. Applied Soft Computing. 13(11). 4428–4441. 52 indexed citations

19.

Wong, Ka In, Pak Kin Wong, C.S. Cheung, & Chi‐Man Vong. (2013). Modeling and optimization of biodiesel engine performance using advanced machine learning methods. Energy. 55. 519–528. 105 indexed citations

20.

Wong, Ka In, Pak Kin Wong, & C.S. Cheung. (2012). Modelling and Prediction of Particulate Matter,NOx, and Performance of a Diesel Vehicle Engine under Rare Data Using Relevance Vector Machine. Journal of Control Science and Engineering. 2012. 1–9. 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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