Manbae Han

723 total citations
46 papers, 574 citations indexed

About

Manbae Han is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Materials Chemistry. According to data from OpenAlex, Manbae Han has authored 46 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Fluid Flow and Transfer Processes, 26 papers in Automotive Engineering and 23 papers in Materials Chemistry. Recurrent topics in Manbae Han's work include Advanced Combustion Engine Technologies (31 papers), Catalytic Processes in Materials Science (23 papers) and Vehicle emissions and performance (22 papers). Manbae Han is often cited by papers focused on Advanced Combustion Engine Technologies (31 papers), Catalytic Processes in Materials Science (23 papers) and Vehicle emissions and performance (22 papers). Manbae Han collaborates with scholars based in South Korea, United States and India. Manbae Han's co-authors include Dennis N. Assanis, Stanislav V. Bohac, Jaewook Shin, K. Min, Kukwon Cho, C. Scott Sluder, Robert Wagner, Timothy J. Jacobs, Patrick G. Szymkowicz and Myoungho Sunwoo and has published in prestigious journals such as Journal of Power Sources, IEEE Access and Fuel.

In The Last Decade

Manbae Han

42 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manbae Han South Korea 14 334 314 190 166 106 46 574
Wenhua Yuan China 9 290 0.9× 230 0.7× 199 1.0× 222 1.3× 118 1.1× 29 523
Jiqiu Tan China 7 155 0.5× 268 0.9× 145 0.8× 116 0.7× 42 0.4× 10 491
Pierpaolo Napolitano Italy 15 485 1.5× 388 1.2× 225 1.2× 260 1.6× 145 1.4× 49 694
Ireneusz Pielecha Poland 13 347 1.0× 532 1.7× 57 0.3× 101 0.6× 127 1.2× 156 770
Luca Andreassi Italy 14 189 0.6× 83 0.3× 78 0.4× 56 0.3× 192 1.8× 50 546
Thomas L. McKinley United Kingdom 10 141 0.4× 81 0.3× 113 0.6× 49 0.3× 82 0.8× 19 428
Thompson Diórdinis Metzka Lanzanova Brazil 16 528 1.6× 299 1.0× 127 0.7× 271 1.6× 204 1.9× 47 630
Hoimyung Choi South Korea 14 452 1.4× 331 1.1× 142 0.7× 193 1.2× 208 2.0× 60 658
Richard van Basshuysen Germany 10 267 0.8× 207 0.7× 65 0.3× 109 0.7× 107 1.0× 16 468
Dean Tomazic Germany 19 648 1.9× 537 1.7× 254 1.3× 281 1.7× 252 2.4× 74 959

Countries citing papers authored by Manbae Han

Since Specialization
Citations

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

Fields of papers citing papers by Manbae Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manbae Han

This figure shows the co-authorship network connecting the top 25 collaborators of Manbae Han. A scholar is included among the top collaborators of Manbae Han 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 Manbae Han. Manbae Han 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.
Han, Manbae, et al.. (2022). Personalized Speed Planning Algorithm Using a Statistical Driver Model in Car-following Situations. International Journal of Automotive Technology. 23(3). 829–840. 6 indexed citations
2.
Sunwoo, Myoungho, et al.. (2019). Power Management Strategy for the 48 V Mild Hybrid Electric Vehicle Based on the Charge-Sustaining Control. International Journal of Automotive Technology. 20(1). 37–49. 11 indexed citations
3.
Kim, Sun-Bin, et al.. (2019). Ego-Vehicle Speed Prediction Using Fuzzy Markov Chain With Speed Constraints. 2106–2112. 7 indexed citations
4.
Min, K., et al.. (2019). Ego-Vehicle Speed Prediction Using a Long Short-Term Memory Based Recurrent Neural Network. International Journal of Automotive Technology. 20(4). 713–722. 64 indexed citations
6.
Hong, Seungwoo, et al.. (2018). In-Cylinder Pressure-Based Low-Pressure-Cooled Exhaust Gas Recirculation Estimation Methods for Turbocharged Gasoline Direct Injection Engines. Journal of Engineering for Gas Turbines and Power. 141(4). 3 indexed citations
7.
Min, K., Myoungho Sunwoo, & Manbae Han. (2018). Iterative Learning Control Algorithm for Feedforward Controller of EGR and VGT Systems in a CRDI Diesel Engine. International Journal of Automotive Technology. 19(3). 433–442. 2 indexed citations
8.
Min, K., et al.. (2017). Fault Management System of LP-EGR Using In-Cylinder Pressure Information in Light-Duty Diesel Engines. Journal of Engineering for Gas Turbines and Power. 140(4). 1 indexed citations
9.
Lee, Hyunjun, Manbae Han, & Myoungho Sunwoo. (2016). Cylinder Pressure Information-Based Postinjection Timing Control for Aftertreatment System Regeneration in a Diesel Engine—Part I: Derivation of Control Parameter. Journal of Engineering for Gas Turbines and Power. 138(8). 3 indexed citations
11.
Han, Manbae, et al.. (2015). Control oriented model of a lean NOx trap for the catalyst regeneration in a 2.2 L direct injection diesel engine. International Journal of Automotive Technology. 16(3). 371–378. 15 indexed citations
12.
Han, Manbae, et al.. (2014). Thermal Shock Durability Test of a Gasoline Turbocharger Waste Gate Valve Assembly Manufactured by a Metal Injection Molding. Journal of the Korean Society of Manufacturing Process Engineers. 13(4). 69–74. 1 indexed citations
14.
Han, Manbae, et al.. (2013). A Performance Modeling of the Lean NOx Trap Catalyst with GT-POWERTM. Transactions of Korean Society of Automotive Engineers. 21(6). 64–71. 1 indexed citations
15.
Han, Manbae. (2011). The Effect of Cetane Number on Exhaust Emissions in Low-temperature Diesel Combustion. Transactions of Korean Society of Automotive Engineers. 19(6). 17–22. 1 indexed citations
16.
Han, Manbae. (2010). Effects of Aromatics and T90 Temperature of Low Cetane Number Fuels on Exhaust Emissions in Low-Temperature Diesel Combustion. Transactions of the Korean Society of Mechanical Engineers B. 34(12). 1121–1126. 2 indexed citations
17.
Choi, Hae Woon & Manbae Han. (2009). A study of nano-scale electrical discharge characteristics for automotive sensor applications. 235–238. 2 indexed citations
18.
Han, Manbae, Dennis N. Assanis, Timothy J. Jacobs, & Stanislav V. Bohac. (2008). Method and Detailed Analysis of Individual Hydrocarbon Species From Diesel Combustion Modes and Diesel Oxidation Catalyst. Journal of Engineering for Gas Turbines and Power. 130(4). 28 indexed citations
19.
Han, Manbae, Dennis N. Assanis, & Stanislav V. Bohac. (2008). Comparison of HC species from diesel combustion modes and characterization of a heat-up doc formulation. International Journal of Automotive Technology. 9(4). 405–413. 12 indexed citations
20.
Han, Manbae. (2007). Species resolved hydrocarbon emission profiles from advanced diesel combustion and characterization of heat-up diesel oxidation catalysts.. Deep Blue (University of Michigan). 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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