M.L. Kuang

596 total citations
12 papers, 487 citations indexed

About

M.L. Kuang is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, M.L. Kuang has authored 12 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Automotive Engineering, 6 papers in Electrical and Electronic Engineering and 5 papers in Mechanical Engineering. Recurrent topics in M.L. Kuang's work include Electric and Hybrid Vehicle Technologies (7 papers), Electric Vehicles and Infrastructure (4 papers) and Control Systems in Engineering (3 papers). M.L. Kuang is often cited by papers focused on Electric and Hybrid Vehicle Technologies (7 papers), Electric Vehicles and Infrastructure (4 papers) and Control Systems in Engineering (3 papers). M.L. Kuang collaborates with scholars based in United States, China and Canada. M.L. Kuang's co-authors include Anastasia Phillips, Yi Lu Murphey, Jungme Park, Hao Ying, M. Abul Masrur, Fazal Syed, Zhihang Chen, Shuhei Okubo, Zhihang Chen and Ilya Kolmanovsky and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, Applied Soft Computing and IEEE Transactions on Automation Science and Engineering.

In The Last Decade

M.L. Kuang

10 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M.L. Kuang United States	8	383	290	101	89	26	12	487
Fazal Syed United States	12	379 1.0×	205 0.7×	112 1.1×	83 0.9×	48 1.8×	27	475
Yeong-il Park South Korea	13	586 1.5×	425 1.5×	80 0.8×	113 1.3×	45 1.7×	56	669
Fabrício Leonardo Silva Brazil	13	434 1.1×	293 1.0×	100 1.0×	89 1.0×	35 1.3×	21	525
Pascal Etman Netherlands	6	295 0.8×	177 0.6×	27 0.3×	71 0.8×	23 0.9×	16	377
Mei Yan China	11	327 0.9×	266 0.9×	40 0.4×	42 0.5×	12 0.5×	24	397
Bingjie Yan China	9	710 1.9×	476 1.6×	129 1.3×	132 1.5×	25 1.0×	13	795
Hongqian Wei China	13	299 0.8×	304 1.0×	116 1.1×	52 0.6×	7 0.3×	27	467
Pier Giuseppe Anselma Italy	17	735 1.9×	618 2.1×	97 1.0×	60 0.7×	38 1.5×	66	815
Feng Ding China	6	310 0.8×	207 0.7×	135 1.3×	29 0.3×	14 0.5×	9	407

Countries citing papers authored by M.L. Kuang

Since Specialization

Citations

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

Fields of papers citing papers by M.L. Kuang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.L. Kuang. 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 M.L. Kuang. The network helps show where M.L. Kuang may publish in the future.

Co-authorship network of co-authors of M.L. Kuang

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

All Works

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12 of 12 papers shown

Kuang, M.L., et al.. (2025). A refined YOLOv5n-based method for detecting pepper flower objects integrating transfer learning. Applied Soft Computing. 188. 114400–114400.

Kuang, M.L., et al.. (2025). GA-Synthesized Training Framework for Adaptive Neuro-Fuzzy PID Control in High-Precision SPAD Thermal Management. Machines. 13(7). 624–624.

Yang, Zeyuan, M.L. Kuang, Dahu Zhu, et al.. (2023). Dynamic Compliant Force Control Strategy for Suppressing Vibrations and Over-Grinding of Robotic Belt Grinding System. IEEE Transactions on Automation Science and Engineering. 21(3). 4536–4547. 9 indexed citations

Ouyang, P. R., et al.. (2018). Position domain contour tracking control: Theory and controllers. 38. 129–134. 1 indexed citations

Kuang, M.L., et al.. (2017). Adaptive PD-SMC in position domain for contour tracking of hybrid actuated system. 852–857. 4 indexed citations

Murphey, Yi Lu, Jungme Park, Zhihang Chen, et al.. (2012). Intelligent Hybrid Vehicle Power Control—Part I: Machine Learning of Optimal Vehicle Power. IEEE Transactions on Vehicular Technology. 61(8). 3519–3530. 162 indexed citations

Cairano, Stefano Di, Wei Liang, Ilya Kolmanovsky, M.L. Kuang, & Anastasia Phillips. (2011). Engine power smoothing energy management strategy for a series hybrid electric vehicle. 2101–2106. 30 indexed citations

Syed, Fazal, M.L. Kuang, & Hao Ying. (2009). Active Damping Wheel-Torque Control System to Reduce Driveline Oscillations in a Power-Split Hybrid Electric Vehicle. IEEE Transactions on Vehicular Technology. 58(9). 4769–4785. 76 indexed citations

Park, Jungme, Zhihang Chen, M.L. Kuang, et al.. (2009). Intelligent Vehicle Power Control Based on Machine Learning of Optimal Control Parameters and Prediction of Road Type and Traffic Congestion. IEEE Transactions on Vehicular Technology. 58(9). 4741–4756. 99 indexed citations

10.

Syed, Fazal, et al.. (2009). Fuzzy Gain-Scheduling Proportional–Integral Control for Improving Engine Power and Speed Behavior in a Hybrid Electric Vehicle. IEEE Transactions on Vehicular Technology. 58(1). 69–84. 77 indexed citations

11.

Murphey, Yi Lu, et al.. (2008). Neural Learning of Predicting Driving Environment. 11 indexed citations

12.

Kuang, M.L., M. Fodor, Davor Hrovat, & Minh Tran. (1999). Hydraulic brake system modeling and control for active control of vehicle dynamics. 4538–4542 vol.6. 18 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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