Jun Imai

525 total citations
94 papers, 333 citations indexed

About

Jun Imai is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Jun Imai has authored 94 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Control and Systems Engineering, 24 papers in Electrical and Electronic Engineering and 17 papers in Industrial and Manufacturing Engineering. Recurrent topics in Jun Imai's work include Electric Motor Design and Analysis (12 papers), Advanced Manufacturing and Logistics Optimization (11 papers) and Magnetic Bearings and Levitation Dynamics (10 papers). Jun Imai is often cited by papers focused on Electric Motor Design and Analysis (12 papers), Advanced Manufacturing and Logistics Optimization (11 papers) and Magnetic Bearings and Levitation Dynamics (10 papers). Jun Imai collaborates with scholars based in Japan and United States. Jun Imai's co-authors include Masami Konishi, Shigeyuki Funabiki, Tatsushi Nishi, Kiyoshi Wada, Masatsugu Takemoto, Tomoyuki Ueno, Tatsuya Saito, Yoshihiro Abe, Yoshinori Takei and Yuichi Yoshida and has published in prestigious journals such as IEEE Access, IEEE Transactions on Industry Applications and ISIJ International.

In The Last Decade

Jun Imai

79 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Imai Japan	8	146	85	46	44	36	94	333
Hongsheng Su China	9	173 1.2×	184 2.2×	26 0.6×	44 1.0×	32 0.9×	90	387
Logan Beal United States	7	108 0.7×	79 0.9×	15 0.3×	47 1.1×	19 0.5×	8	337
Faizal Hafiz New Zealand	11	205 1.4×	251 3.0×	26 0.6×	19 0.4×	19 0.5×	34	416
Kazuyuki Mori Japan	11	88 0.6×	237 2.8×	33 0.7×	9 0.2×	11 0.3×	48	386
Daniil Panasetsky Russia	13	215 1.5×	396 4.7×	14 0.3×	34 0.8×	38 1.1×	50	515
Jingwei Zhang China	12	133 0.9×	272 3.2×	27 0.6×	86 2.0×	17 0.5×	54	500
Sasmita Padhy India	11	372 2.5×	399 4.7×	21 0.5×	21 0.5×	38 1.1×	25	585
Miloš Cvetković Netherlands	10	194 1.3×	233 2.7×	47 1.0×	13 0.3×	33 0.9×	29	336
Patrik Hilber Sweden	18	392 2.7×	604 7.1×	34 0.7×	52 1.2×	24 0.7×	85	941

Countries citing papers authored by Jun Imai

Since Specialization

Citations

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

Fields of papers citing papers by Jun Imai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Imai

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Imai. A scholar is included among the top collaborators of Jun Imai 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 Imai. Jun Imai 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

Takemoto, Masatsugu, et al.. (2024). Superior Efficiency Under PWM Harmonic Current in an Axial-Flux PM Machine for HEV/EV Traction: Comparison With a Radial-Flux PM Machine. IEEE Transactions on Industry Applications. 60(5). 6736–6751. 2 indexed citations

Imai, Jun, et al.. (2011). Optimal Digital Control Systems Design for Handling Machines using dsPIC. Okayama University Scientific Achievement Repository (Okayama University). 45(1). 1–14. 1 indexed citations

Konishi, Masami, Kōichi Nakano, & Jun Imai. (2011). Methods of Diagnosis and Intervention for Agent of Hot Rolling Operation Support. Tetsu-to-Hagane. 97(6). 326–333. 1 indexed citations

Konishi, Masami, et al.. (2009). Tracking Control of Combination Vehicles with PreviewFeedforward Compensation. Okayama University Scientific Achievement Repository (Okayama University). 43(43). 32–38. 3 indexed citations

Konishi, Masami, et al.. (2009). Position Control of 2-Link SCARA Robot by using InternalModel Control. Okayama University Scientific Achievement Repository (Okayama University). 43. 49–54. 6 indexed citations

Abe, Yoshihiro, et al.. (2008). Neural Network Based PID Gain Tuning of Chemical Plant Controller. IEEJ Transactions on Industry Applications. 128(7). 940–947. 2 indexed citations

Konishi, Masami, et al.. (2007). Decomposition of Time Petri Nets for Solving Optimal FiringSequence Problem. Okayama University Scientific Achievement Repository (Okayama University). 41(1). 44–51. 1 indexed citations

Konishi, Masami, et al.. (2007). Simultaneous Optimization of Production and TransportationPlanning by using Logic Cut Algorithm. Okayama University Scientific Achievement Repository (Okayama University). 41(1). 31–43. 4 indexed citations

Konishi, Masami, et al.. (2007). RNN-Based cooperative motion control of 2-dof Robot Arms. International journal of innovative computing, information & control. 3(4). 937–952. 3 indexed citations

10.

Konishi, Masami, et al.. (2005). Regulation of production loads for plural furnaces in case of demand change. Society of Instrument and Control Engineers of Japan.

11.

Konishi, Masami, et al.. (2005). A dynamic optimization model for storage yard logistic systems. Society of Instrument and Control Engineers of Japan. 3254–3259.

12.

Konishi, Masami, et al.. (2005). Cooperative motion control of 2-DOF robot arms by recurrent neural network. Society of Instrument and Control Engineers of Japan. 1 indexed citations

13.

Konishi, Masami, et al.. (2005). Application of Neural Network to Fault Diagnosis ofElectro-Mechanical System. Okayama University Scientific Achievement Repository (Okayama University). 39(1). 21–27. 2 indexed citations

14.

Konishi, Masami, et al.. (2003). Sensitivity Analysis and its Application to the Control of Inner Furnace Temperature Distribution. Okayama University Scientific Achievement Repository (Okayama University). 37(2). 13–27. 1 indexed citations

15.

Nishi, Tatsushi, et al.. (2003). An Autonomous Distributed Route Planning Method for Multiple Mobile Robots. Transactions of the Society of Instrument and Control Engineers. 39(8). 759–766. 10 indexed citations

16.

Nishi, Tatsushi, et al.. (2003). Agent based periodic control of an AGV system in dynamic transportation. Society of Instrument and Control Engineers of Japan. 1. 713–718.

17.

Takei, Yoshinori, Jun Imai, & Kiyoshi Wada. (2000). Recursive Computation for Error Covariance Matrix in Subspace Identification Methods. Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 2000(0). 19–24. 5 indexed citations

18.

Imai, Jun & Kiyoshi Wada. (1999). An Uncertainty Modeling of Elastic Vibrating Systems for Controller Design. Transactions of the Society of Instrument and Control Engineers. 35(3). 349–356.

19.

Imai, Jun. (1994). Error bounds for Modal approximations of Parabolic Distributed Systems. Default journal. 301–305. 1 indexed citations

20.

Sagara, Setsuo & Jun Imai. (1991). On an Approximation Model via Galerkin Method for a Parabolic Distributed Parameter System with Boundary Inputs. Transactions of the Society of Instrument and Control Engineers. 27(12). 1366–1373. 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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