Ming Kuang

2.3k total citations · 1 hit paper
53 papers, 1.9k citations indexed

About

Ming Kuang is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Ming Kuang has authored 53 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Automotive Engineering, 27 papers in Electrical and Electronic Engineering and 16 papers in Control and Systems Engineering. Recurrent topics in Ming Kuang's work include Electric and Hybrid Vehicle Technologies (31 papers), Electric Vehicles and Infrastructure (17 papers) and Advanced Battery Technologies Research (16 papers). Ming Kuang is often cited by papers focused on Electric and Hybrid Vehicle Technologies (31 papers), Electric Vehicles and Infrastructure (17 papers) and Advanced Battery Technologies Research (16 papers). Ming Kuang collaborates with scholars based in United States, China and France. Ming Kuang's co-authors include Anthony M. Phillips, Ilya Kolmanovsky, Hoseinali Borhan, Ardalan Vahidi, Stefano Di Cairano, Ryan McGee, Yi Lu Murphey, Jungme Park, Hai Yu and Fazal Syed and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Ming Kuang

51 papers receiving 1.8k citations

Hit Papers

MPC-Based Energy Management of a Power-Split Hybrid Elect... 2011 2026 2016 2021 2011 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MPC-Based Energy Management of a Power-Split Hybrid Electric Vehicle
    2011 589 citations Hoseinali Borhan, Ardalan Vahidi et al. IEEE Transactions on Control Systems Technology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Kuang United States 17 1.6k 1.2k 363 151 139 53 1.9k
Namwook Kim South Korea 22 1.8k 1.1× 1.5k 1.3× 273 0.8× 101 0.7× 111 0.8× 67 2.0k
Liang Chu China 21 1.1k 0.6× 748 0.6× 346 1.0× 183 1.2× 31 0.2× 181 1.4k
Taketoshi Kawabe Japan 15 1.2k 0.7× 309 0.3× 970 2.7× 74 0.5× 75 0.5× 67 1.4k
Bernard Bäker Germany 16 990 0.6× 834 0.7× 178 0.5× 70 0.5× 39 0.3× 58 1.1k
Erik Hellström United States 20 1.0k 0.6× 239 0.2× 640 1.8× 64 0.4× 479 3.4× 49 1.4k
John Michelini United States 13 545 0.3× 252 0.2× 310 0.9× 30 0.2× 61 0.4× 26 680
Ningyuan Guo China 22 1.3k 0.8× 772 0.6× 494 1.4× 168 1.1× 19 0.1× 44 1.5k
Akira Ohata Japan 15 408 0.3× 146 0.1× 562 1.5× 106 0.7× 216 1.6× 66 878
Guodong Du China 16 880 0.5× 730 0.6× 199 0.5× 65 0.4× 22 0.2× 28 1.1k
Yunfeng Hu China 16 635 0.4× 250 0.2× 523 1.4× 217 1.4× 135 1.0× 106 1.1k

Countries citing papers authored by Ming Kuang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Kuang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Kuang. A scholar is included among the top collaborators of Ming 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 Ming Kuang. Ming Kuang 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.
2.
Kuang, Ming, et al.. (2024). A review of control strategies for automatic generation control in power systems with renewable energy. 6(2). 22001–22001. 7 indexed citations
3.
Kuang, Ming, et al.. (2024). MC-VMD-CNN-BiLSTM short-term wind power prediction considering rolling error correction. Engineering Research Express. 6(4). 45304–45304. 1 indexed citations
4.
Assadian, Francis, et al.. (2020). An Investigation into the Traction and Anti-Lock Braking System Control Design. SAE technical papers on CD-ROM/SAE technical paper series. 1. 4 indexed citations
5.
Kuang, Ming, et al.. (2019). Early-Warning-Time-Based Virtual Network Live Evacuation Against Disaster Threats. IEEE Internet of Things Journal. 7(4). 2869–2876. 12 indexed citations
6.
Chen, Yimin, et al.. (2018). Driver-Assistance Lateral Motion Control for In-Wheel-Motor-Driven Electric Ground Vehicles Subject to Small Torque Variation. IEEE Transactions on Vehicular Technology. 67(8). 6838–6850. 40 indexed citations
7.
Zhao, Yanan, et al.. (2017). Regenerative Braking Control Development for P2 Parallel Hybrid Electric Vehicles. SAE technical papers on CD-ROM/SAE technical paper series. 1. 3 indexed citations
8.
Kuang, Ming, et al.. (2017). Reliability-sustainable network survivability scheme against disaster failures. 334–337. 4 indexed citations
9.
Assadian, Francis, et al.. (2017). Optimal Tire Force Control & Allocation for Longitudinal and Yaw Moment Control of HEV with eAWD Capabilities. SAE International journal of vehicle dynamics, stability, and NVH. 1(2). 220–233. 4 indexed citations
10.
11.
Park, Jungme, et al.. (2014). Intelligent Trip Modeling for the Prediction of an Origin–Destination Traveling Speed Profile. IEEE Transactions on Intelligent Transportation Systems. 15(3). 1039–1053. 51 indexed citations
12.
Wang, Xipeng, et al.. (2014). Intelligent Trip Modeling on Ramps using ramp classification and knowledge base. 1. 967–974. 1 indexed citations
13.
Wang, Xiaoyong, Ryan McGee, & Ming Kuang. (2013). Vehicle System Control for Start-Stop Powertrains with Automatic Transmissions. SAE technical papers on CD-ROM/SAE technical paper series. 1. 10 indexed citations
14.
Murphey, Yi Lu, et al.. (2012). Intelligent Hybrid Vehicle Power Control—Part II: Online Intelligent Energy Management. IEEE Transactions on Vehicular Technology. 62(1). 69–79. 148 indexed citations
15.
Borhan, Hoseinali, Ardalan Vahidi, Anthony M. Phillips, et al.. (2011). MPC-Based Energy Management of a Power-Split Hybrid Electric Vehicle. IEEE Transactions on Control Systems Technology. 20(3). 593–603. 589 indexed citations breakdown →
16.
Park, Jungme, Li Dai, Yi Lu Murphey, et al.. (2011). Real time vehicle speed prediction using a Neural Network Traffic Model. 2991–2996. 110 indexed citations
17.
Liu, Ruoqian, Jungme Park, Yi Lu Murphey, et al.. (2011). Real time vehicle speed predition using gas-kinetic traffic modeling. 31. 80–86. 8 indexed citations
18.
Borhan, Hoseinali, Ardalan Vahidi, Anthony M. Phillips, Ming Kuang, & Ilya Kolmanovsky. (2009). Predictive energy management of a power-split hybrid electric vehicle. 3970–3976. 179 indexed citations
19.
Liang, Wei, et al.. (2009). Vehicle Pure Yaw Moment control using differential tire slip. 25. 3331–3336. 24 indexed citations
20.
Syed, Fazal, et al.. (2009). Energy Management in a Dual-Drive Hybrid Powertrain. SAE technical papers on CD-ROM/SAE technical paper series. 1. 3 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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