Jin Kusaka

1.4k total citations
138 papers, 1.1k citations indexed

About

Jin Kusaka is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Materials Chemistry. According to data from OpenAlex, Jin Kusaka has authored 138 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Fluid Flow and Transfer Processes, 63 papers in Computational Mechanics and 48 papers in Materials Chemistry. Recurrent topics in Jin Kusaka's work include Advanced Combustion Engine Technologies (90 papers), Combustion and flame dynamics (60 papers) and Catalytic Processes in Materials Science (43 papers). Jin Kusaka is often cited by papers focused on Advanced Combustion Engine Technologies (90 papers), Combustion and flame dynamics (60 papers) and Catalytic Processes in Materials Science (43 papers). Jin Kusaka collaborates with scholars based in Japan, Thailand and Germany. Jin Kusaka's co-authors include Yasuhiro Daisho, Ratnak Sok, Kyohei Yamaguchi, Hajime Ishii, Yuichi Goto, Hisakazu Suzuki, Daisuke Kawano, Takeshi Saito, Matsuo Odaka and Takao Fukuma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and International Journal of Heat and Mass Transfer.

In The Last Decade

Jin Kusaka

127 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Kusaka Japan 17 797 446 440 360 338 138 1.1k
Suhan Park South Korea 18 719 0.9× 401 0.9× 443 1.0× 280 0.8× 356 1.1× 73 1.1k
Enzo Galloni Italy 18 998 1.3× 504 1.1× 599 1.4× 252 0.7× 330 1.0× 53 1.4k
Pavlos Dimitriou United Kingdom 15 1.2k 1.5× 468 1.0× 492 1.1× 762 2.1× 505 1.5× 37 1.7k
Yasuo Moriyoshi Japan 16 1.3k 1.6× 586 1.3× 760 1.7× 274 0.8× 412 1.2× 153 1.5k
Baigang Sun China 27 1.5k 1.8× 704 1.6× 754 1.7× 434 1.2× 535 1.6× 66 1.9k
Cinzia Tornatore Italy 23 1.3k 1.6× 517 1.2× 818 1.9× 336 0.9× 591 1.7× 96 1.5k
Hua Tian China 17 1.0k 1.3× 282 0.6× 606 1.4× 501 1.4× 252 0.7× 87 1.2k
Terry Alger United States 13 675 0.8× 348 0.8× 363 0.8× 199 0.6× 223 0.7× 19 789
Philipp Adomeit Germany 16 690 0.9× 241 0.5× 600 1.4× 147 0.4× 382 1.1× 61 1.0k
Changzhao Jiang United Kingdom 18 619 0.8× 161 0.4× 441 1.0× 174 0.5× 335 1.0× 34 840

Countries citing papers authored by Jin Kusaka

Since Specialization
Citations

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

Fields of papers citing papers by Jin Kusaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Kusaka

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Kusaka. A scholar is included among the top collaborators of Jin Kusaka 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 Jin Kusaka. Jin Kusaka 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
3.
Sok, Ratnak & Jin Kusaka. (2025). Global sensitivity analysis on parameter identifications of electrochemical Li-ion cell model using transient test data scaled from battery electric vehicle experiments. SHILAP Revista de lepidopterología. 7. 100085–100085. 2 indexed citations
4.
Sok, Ratnak, et al.. (2024). Measured Thermal Performances at Brick and Module Levels in a Battery Pack of a Mid-Size Electric Vehicle under WLTC and FTP Cycles. SAE technical papers on CD-ROM/SAE technical paper series. 1. 4 indexed citations
5.
Takahashi, Hideaki, et al.. (2024). Experimental and Numerical Investigations on the Effect of Urea Pulse Injection Strategies to Reduce NOx Emission in Urea-SCR Catalysts. SAE International Journal of Advances and Current Practices in Mobility. 7(4). 1702–1714.
6.
Sok, Ratnak, et al.. (2024). Impacts of low-temperature heat release on unstretched laminar burning velocity in advanced flex-fuel gasoline-ethanol engines. Applied Thermal Engineering. 258. 124826–124826. 4 indexed citations
7.
Sok, Ratnak, et al.. (2023). Development and Validation of a Battery Thermal Management Model for Electric Vehicles under Cold Driving. SAE technical papers on CD-ROM/SAE technical paper series. 1. 4 indexed citations
10.
Kusaka, Jin, et al.. (2019). Large Eddy Simulation and Analysis of Cycle-by-Cycle Variations in a Spark Ignition Gasoline Engine. Transactions of the Society of Automotive Engineers of Japan. 50(1). 2 indexed citations
11.
Tsukamoto, Yoshihisa, et al.. (2018). Reactivity Analysis and Modeling of Cu-SCR Based on NH₃-SCR Mechanism Considering Cu Redox. Transactions of the Society of Automotive Engineers of Japan. 49(6). 3 indexed citations
12.
Shibata, Gen, Hideyuki Ogawa, Yoshimitsu Kobashi, et al.. (2017). Development of NH₃-SCR Reaction Computation Model in Zeolite Catalyst. Transactions of the Society of Automotive Engineers of Japan. 48(2). 1 indexed citations
13.
Sok, Ratnak, et al.. (2015). Experiments and Simulations of a Lean-Boost Spark Ignition Engine for Thermal Efficiency Improvement. SAE International Journal of Engines. 9(1). 379–396. 31 indexed citations
14.
Kusaka, Jin, et al.. (2014). A Numerical Simulation Study on Improving the Thermal Efficiency of a Spark Ignited Engine. Transactions of the Society of Automotive Engineers of Japan. 45(2).
15.
Suzuki, Yasumasa, et al.. (2011). Development of Method for Construction of a Response Surface Model and Control Parameter Optimization Method for Automobile Engine. Transactions of the Society of Instrument and Control Engineers. 47(10). 501–510. 2 indexed citations
16.
Kusaka, Jin, Yasuhiro Daisho, Daisuke Kawano, et al.. (2008). Applicability of Various EGR Strategies in Multi-cylinder Diesel Engine (First Report):- Effect Comparison between HPL-EGR and LPL-EGR Systems -. 39(3). 145–150.
17.
Kusaka, Jin, et al.. (2005). Knock Prediction Using Multi-dimensional Modeling on Gasoline Engines. 26(3). 277–284. 2 indexed citations
18.
Kusaka, Jin, et al.. (2003). SIMULATING COMBUSTION AND EXHAUST GAS EMISSIONS IN A DI DIESEL ENGINE BY USING A CFD CODE COMBINED WITH DETAILED CHEMISTRY. Journal of KONES Powertrain and Transport. 141–148. 3 indexed citations
19.
Kusaka, Jin, et al.. (2002). A Study of Combustion and Exhaust Gas Emissions Characteristics of a Dual Fuel Gas Engine by Using a Multi-Dimensional Model Combined with Detailed Chemical Kinetics. Transactions of the Society of Automotive Engineers of Japan. 33(1). 23–30. 1 indexed citations
20.
Kusaka, Jin & Yasuhiro Daisho. (2001). A Basic Study of Homogeneous Charge Compression Ignition Characteristics of Natural Gas by Using a Multidimensional Model combined with Detailed Chemical Kinetics. Transactions of the Society of Automotive Engineers of Japan. 32(2). 43–48. 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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