Jun-Mo Kang

1.9k total citations · 1 hit paper
19 papers, 1.5k citations indexed

About

Jun-Mo Kang is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Jun-Mo Kang has authored 19 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Fluid Flow and Transfer Processes, 10 papers in Automotive Engineering and 7 papers in Control and Systems Engineering. Recurrent topics in Jun-Mo Kang's work include Advanced Combustion Engine Technologies (16 papers), Combustion and flame dynamics (6 papers) and Electric and Hybrid Vehicle Technologies (5 papers). Jun-Mo Kang is often cited by papers focused on Advanced Combustion Engine Technologies (16 papers), Combustion and flame dynamics (6 papers) and Electric and Hybrid Vehicle Technologies (5 papers). Jun-Mo Kang collaborates with scholars based in United States, Poland and Sweden. Jun-Mo Kang's co-authors include Jessy W. Grizzle, Chan-Chiao Lin, Huei Peng, Huei Peng, Tang-Wei Kuo, Anna G. Stefanopoulou, J. A. Eng, Chen-Fang Chang, Paul Najt and Ilya Kolmanovsky and has published in prestigious journals such as IEEE Transactions on Control Systems Technology, SAE technical papers on CD-ROM/SAE technical paper series and Control Engineering Practice.

In The Last Decade

Jun-Mo Kang

18 papers receiving 1.4k citations

Hit Papers

Power management strategy for a parallel hybrid electric ... 2003 2026 2010 2018 2003 250 500 750 1000
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. Power management strategy for a parallel hybrid electric truck
    2003 1.0k citations Chan-Chiao Lin, Huei Peng 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
Jun-Mo Kang United States 11 1.3k 925 389 185 177 19 1.5k
Edward Winward United Kingdom 10 222 0.2× 86 0.1× 190 0.5× 129 0.7× 24 0.1× 41 380
Xiaohua Zeng China 14 526 0.4× 309 0.3× 59 0.2× 125 0.7× 7 0.0× 81 637
Fayez Shakil Ahmed France 11 149 0.1× 286 0.3× 26 0.1× 261 1.4× 66 0.4× 25 571
Yang Tang Netherlands 11 100 0.1× 179 0.2× 113 0.3× 134 0.7× 51 0.3× 23 338
Manfeng Dou China 20 334 0.3× 1.2k 1.2× 47 0.1× 419 2.3× 12 0.1× 83 1.4k
Yiqiang Peng China 11 156 0.1× 134 0.1× 43 0.1× 118 0.6× 13 0.1× 29 365
P. Somasundaram India 14 34 0.0× 381 0.4× 131 0.3× 134 0.7× 41 0.2× 62 712
Takaji Umeno Japan 12 170 0.1× 185 0.2× 44 0.1× 107 0.6× 11 0.1× 28 584
Kuk-Hyun Ahn South Korea 11 264 0.2× 199 0.2× 41 0.1× 113 0.6× 5 0.0× 26 423
Liangcai Xu China 21 545 0.4× 935 1.0× 23 0.1× 353 1.9× 3 0.0× 51 1.1k

Countries citing papers authored by Jun-Mo Kang

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Mo Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Mo Kang. 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 Jun-Mo Kang. The network helps show where Jun-Mo Kang may publish in the future.

Co-authorship network of co-authors of Jun-Mo Kang

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

All Works

19 of 19 papers shown
1.
Kang, Jun-Mo, et al.. (2024). Robust Adaptive Control for Dual Fuel Injection Systems in Gasoline Engines. SAE technical papers on CD-ROM/SAE technical paper series. 1.
2.
Kang, Jun-Mo, et al.. (2024). Iterative Learning for Laboratory Electro-Hydraulic Fully Flexible Valve Actuation System Transient Control. SAE International Journal of Engines. 17(5). 593–602. 1 indexed citations
3.
Ravi, Nikhil, et al.. (2012). Control of recompression HCCI with a three region switching controller. Control Engineering Practice. 21(2). 135–145. 14 indexed citations
4.
Kang, Jun-Mo, İbrahim Haskara, Yue-Yun Wang, & Chen-Fang Chang. (2012). Adaptive intake oxygen estimation in lean-burn engines. 1266–1270. 1 indexed citations
5.
Kang, Jun-Mo, Chen-Fang Chang, & Tang-Wei Kuo. (2010). Sufficient Condition on Valve Timing for Robust Load Transients in HCCI Engines. SAE technical papers on CD-ROM/SAE technical paper series. 1. 4 indexed citations
6.
Kang, Jun-Mo, et al.. (2010). Representing recompression HCCI dynamics with a switching linear model. 3803–3808. 11 indexed citations
7.
Kang, Jun-Mo, et al.. (2010). HCCI engine control strategy with external EGR. 3783–3790. 9 indexed citations
8.
Kang, Jun-Mo. (2010). Sensitivity Analysis of Auto-ignited Combustion in HCCI Engines. SAE technical papers on CD-ROM/SAE technical paper series. 1. 12 indexed citations
9.
Yun, Hanho, et al.. (2010). Improvement on Cylinder-to-Cylinder Variation Using a Cylinder Balancing Control Strategy in Gasoline HCCI Engines. SAE technical papers on CD-ROM/SAE technical paper series. 1. 22 indexed citations
10.
Kang, Jun-Mo & Chen-Fang Chang. (2009). Observer Design for Fuel Reforming in HCCI Engines Using a UEGO Sensor. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 indexed citations
11.
Kang, Jun-Mo, et al.. (2009). Concept and Implementation of a Robust HCCI Engine Controller. SAE technical papers on CD-ROM/SAE technical paper series. 1. 22 indexed citations
12.
Stefanopoulou, Anna G., et al.. (2004). A mean-value model for control of homogeneous charge compression ignition (HCCI) engines. 125–131 vol.1. 57 indexed citations
13.
Stefanopoulou, Anna G., et al.. (2004). A Mean-Value Model for Control of Homogeneous Charge Compression Ignition (HCCI) Engines. Journal of Dynamic Systems Measurement and Control. 127(3). 355–362. 108 indexed citations
14.
Lin, Chan-Chiao, Huei Peng, Jessy W. Grizzle, & Jun-Mo Kang. (2003). Power management strategy for a parallel hybrid electric truck. IEEE Transactions on Control Systems Technology. 11(6). 839–849. 1041 indexed citations breakdown →
15.
Kang, Jun-Mo, Ilya Kolmanovsky, & Jessy W. Grizzle. (2003). Approximate dynamic programming solutions for lean burn engine aftertreatment. 2. 1703–1708. 19 indexed citations
16.
Lin, Chan-Chiao, Jun-Mo Kang, Jessy W. Grizzle, & Huei Peng. (2001). Energy management strategy for a parallel hybrid electric truck. 2878–2883 vol.4. 157 indexed citations
17.
Kang, Jun-Mo. (2000). Advanced control for fuel economy and emissions improvement in spark ignition engines.. Deep Blue (University of Michigan). 3 indexed citations
18.
Kang, Jun-Mo & Jessy W. Grizzle. (1999). Nonlinear control for joint air and fuel management in a SI engine. 2. 17–23 vol.1. 16 indexed citations
19.
Kang, Jun-Mo & Jessy W. Grizzle. (1998). Engine A/F and Torque Control by Using Secondary Throttles. IFAC Proceedings Volumes. 31(1). 201–208. 2 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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