Mike Huang

1.5k total citations
28 papers, 433 citations indexed

About

Mike Huang is a scholar working on Control and Systems Engineering, Fluid Flow and Transfer Processes and Automotive Engineering. According to data from OpenAlex, Mike Huang has authored 28 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 10 papers in Fluid Flow and Transfer Processes and 9 papers in Automotive Engineering. Recurrent topics in Mike Huang's work include Advanced Control Systems Optimization (12 papers), Advanced Combustion Engine Technologies (10 papers) and Electric and Hybrid Vehicle Technologies (7 papers). Mike Huang is often cited by papers focused on Advanced Control Systems Optimization (12 papers), Advanced Combustion Engine Technologies (10 papers) and Electric and Hybrid Vehicle Technologies (7 papers). Mike Huang collaborates with scholars based in United States, Japan and Switzerland. Mike Huang's co-authors include Ilya Kolmanovsky, Ken Butts, Hayato Nakada, Kuan Liu, Zachary D. Asher, Dominic Liao‐McPherson, Xun Gong, Anna G. Stefanopoulou, Di Chen and Youngki Kim and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Mike Huang

28 papers receiving 418 citations

Peers

Mike Huang

CSE

FFTP

EEE

Matthias Bitzer Germany

Engin Özatay United States

Dominik Karbowski United States

Esteban R. Gelso Sweden

Lulu Guo China

N. Giorgetti Italy

Heeyun Lee South Korea

Urban Maeder Switzerland

Stefan Sinsel Germany

Jochen Schaffnit Germany

Matthias Bitzer Germany

Mike Huang

351 ×1.6

164 ×0.8

CSE

31 ×0.3

FFTP

310 ×2.7

EEE

60 ×2.1

Citations per year, relative to Mike Huang Mike Huang (= 1×) peers Matthias Bitzer

Countries citing papers authored by Mike Huang

Since Specialization

Citations

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

Fields of papers citing papers by Mike Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Huang

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

All Works

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20 of 20 papers shown

Chen, Di, Mike Huang, & Anna G. Stefanopoulou. (2022). Discrete Mixed-Integer Shooting (DMIS): Algorithm and Application to Plug-In Hybrid Electric Vehicle Energy Management Accounting for Fuel Cranking and Actual Powertrain Efficiency Maps. IEEE Transactions on Control Systems Technology. 31(1). 221–234. 6 indexed citations

Chen, Di, Mike Huang, Anna G. Stefanopoulou, & Youngki Kim. (2021). A Receding-Horizon Framework for Co-Optimizing the Velocity and Power-Split of Automated Plug-In Hybrid Electric Vehicles. 1(4). 4 indexed citations

Chen, Di, Mike Huang, Anna G. Stefanopoulou, & Youngki Kim. (2021). Co-Optimization of Velocity and Charge-Depletion for Plug-In Hybrid Electric Vehicles: Accounting for Acceleration and Jerk Constraints. Journal of Dynamic Systems Measurement and Control. 6 indexed citations

Yang, Mengsu, et al.. (2020). MEMs-HCG VCSELs for emerging sensing and datacoms applications. 26–26. 4 indexed citations

Liao‐McPherson, Dominic, et al.. (2020). Model predictive emissions control of a diesel engine airpath: Design and experimental evaluation. International Journal of Robust and Nonlinear Control. 30(17). 7446–7477. 23 indexed citations

Huang, Mike, et al.. (2019). Real-time Long Horizon Model Predictive Control of a Plug-in Hybrid Vehicle Power-Split Utilizing Trip Preview. SAE technical papers on CD-ROM/SAE technical paper series. 1. 9 indexed citations

Dontchev, Asen L., Mike Huang, Ilya Kolmanovsky, & Marco M. Nicotra. (2018). Inexact Newton–Kantorovich Methods for Constrained Nonlinear Model Predictive Control. IEEE Transactions on Automatic Control. 64(9). 3602–3615. 10 indexed citations

Liao‐McPherson, Dominic, Mike Huang, & Ilya Kolmanovsky. (2018). A Regularized and Smoothed Fischer–Burmeister Method for Quadratic Programming With Applications to Model Predictive Control. IEEE Transactions on Automatic Control. 64(7). 2937–2944. 37 indexed citations

Kondepu, Koteswararao, Christopher Chase, Mike Huang, et al.. (2017). Performance Evaluation of Next-Generation Elastic Backhaul with Flexible VCSEL-based WDM Fronthaul. Bristol Research (University of Bristol). 1–3. 4 indexed citations

10.

Chase, Christopher, et al.. (2017). 10 Gbps Tuneable VCSEL-based SFP+ with Integrated G.METRO Functionality for Front haul Access Networks. 17. 1–3. 4 indexed citations

11.

Huang, Mike, et al.. (2016). Rate-Based Model Predictive Controller for Diesel Engine Air Path: Design and Experimental Evaluation. IEEE Transactions on Control Systems Technology. 24(6). 1922–1935. 42 indexed citations

12.

Butts, Ken, Asen L. Dontchev, Mike Huang, & Ilya Kolmanovsky. (2016). A Perturbed Chord (Newton-Kantorovich) Method for Constrained Nonlinear Model Predictive Control. IFAC-PapersOnLine. 49(18). 253–258. 5 indexed citations

13.

Samadi, Behzad, et al.. (2016). Design Environment for Nonlinear Model Predictive Control. SAE technical papers on CD-ROM/SAE technical paper series. 1. 5 indexed citations

14.

Huang, Mike, Ken Butts, & Ilya Kolmanovsky. (2015). A Low Complexity Gain Scheduling Strategy for Explicit Model Predictive Control of a Diesel Air Path. 3 indexed citations

15.

Huang, Mike, Hayato Nakada, Ken Butts, & Ilya Kolmanovsky. (2015). Nonlinear Model Predictive Control of a Diesel Engine Air Path: A Comparison of Constraint Handling and Computational Strategies. IFAC-PapersOnLine. 48(23). 372–379. 56 indexed citations

16.

Bouteiller, Jean‐Marie C., et al.. (2014). A comparison between direct and indirect measurements of neurotransmitter vesicle release dynamics: A computational study. PubMed. 2014. 1155–1158. 1 indexed citations

17.

Huang, Mike, et al.. (2013). Towards combining nonlinear and predictive control of diesel engines. 2846–2853. 17 indexed citations

18.

Huang, Mike, et al.. (2009). Pre-transplantation glucose testing for predicting new-onset diabetes mellitus after renal transplantation.. PubMed. 71(2). 140–6. 24 indexed citations

19.

Wang, Thomas J., et al.. (2006). Multi Objective Robust Optimization for Idle Performance. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations

20.

Zhang, Qi‐Jun, et al.. (2005). SEA Modeling of A Vehicle Door System. 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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