Hiroshi Kinjo

751 total citations
64 papers, 558 citations indexed

About

Hiroshi Kinjo is a scholar working on Control and Systems Engineering, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Hiroshi Kinjo has authored 64 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Control and Systems Engineering, 20 papers in Artificial Intelligence and 12 papers in Automotive Engineering. Recurrent topics in Hiroshi Kinjo's work include Control and Dynamics of Mobile Robots (14 papers), Vehicle Dynamics and Control Systems (11 papers) and Dynamics and Control of Mechanical Systems (10 papers). Hiroshi Kinjo is often cited by papers focused on Control and Dynamics of Mobile Robots (14 papers), Vehicle Dynamics and Control Systems (11 papers) and Dynamics and Control of Mechanical Systems (10 papers). Hiroshi Kinjo collaborates with scholars based in Japan. Hiroshi Kinjo's co-authors include Endusa Billy Muhando, Tomonobu Senjyu, Eiho Uezato, Toshihisa Funabashi, Atsushi Yona, Naomitsu Urasaki, Toshihisa Funabashi, Kouhei Ohnishi, Hideki Fujita and Hideomi Sekine and has published in prestigious journals such as Renewable Energy, Automation in Construction and IEEE Transactions on Energy Conversion.

In The Last Decade

Hiroshi Kinjo

62 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroshi Kinjo Japan 12 373 251 92 88 77 64 558
İbrahim Beklan Küçükdemiral United Kingdom 15 397 1.1× 260 1.0× 86 0.9× 46 0.5× 74 1.0× 61 700
Rongjun Ding China 13 264 0.7× 190 0.8× 93 1.0× 48 0.5× 246 3.2× 47 551
Murat Lüy Türkiye 9 146 0.4× 186 0.7× 36 0.4× 89 1.0× 16 0.2× 37 423
Safeer Ullah Pakistan 11 401 1.1× 182 0.7× 62 0.7× 90 1.0× 45 0.6× 48 598
Puneet Mishra India 13 409 1.1× 183 0.7× 96 1.0× 20 0.2× 77 1.0× 42 597
Zhang Chen China 12 169 0.5× 113 0.5× 99 1.1× 18 0.2× 150 1.9× 29 394
Luis Amézquita-Brooks Mexico 11 212 0.6× 156 0.6× 74 0.8× 108 1.2× 57 0.7× 59 423
Xiaohua Zhang China 14 372 1.0× 413 1.6× 85 0.9× 27 0.3× 51 0.7× 92 682
Yang Yuan China 14 321 0.9× 344 1.4× 31 0.3× 120 1.4× 74 1.0× 40 655
R.M.T. Raja Ismail Malaysia 16 482 1.3× 89 0.4× 186 2.0× 64 0.7× 97 1.3× 62 647

Countries citing papers authored by Hiroshi Kinjo

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Kinjo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Kinjo

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Kinjo. A scholar is included among the top collaborators of Hiroshi Kinjo 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 Hiroshi Kinjo. Hiroshi Kinjo 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.
Fujii, Hiroyuki, et al.. (2025). Research on rotary crane control using a neural network optimized by an improved bat algorithm. Artificial Life and Robotics. 30(3). 465–471. 1 indexed citations
2.
Kinjo, Hiroshi, et al.. (2023). Performance evaluation of schedule plan for cuckoo search applied to the neural network controller of a rotary crane. Artificial Life and Robotics. 29(1). 129–135. 2 indexed citations
3.
Kinjo, Hiroshi, et al.. (2023). Fuzzy controller for AUV robots based on machine learning and genetic algorithm. Artificial Life and Robotics. 28(3). 632–641. 2 indexed citations
4.
Kinjo, Hiroshi, et al.. (2013). Maturity Detection of Tropical Fruits by Parameter Estimation Using Genetic Algorithm. Journal of Signal Processing. 17(3). 81–86. 1 indexed citations
5.
MIYAZAKI, Tatsujiro, et al.. (2010). Influence of Size and Location of Stop Drilling Hole and Additional Hole on Fatigue Life Extension. TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series A. 76(765). 617–624. 1 indexed citations
6.
Kinjo, Hiroshi, et al.. (2009). A discontinuous control of a nonholonomic wheeled mobile robot. 2009 ICCAS-SICE. 2464–2467. 3 indexed citations
7.
Kinjo, Hiroshi, et al.. (2009). Feedback controller with nonlinear compensator optimized by genetic algorithm for rotary crane system. 2009 ICCAS-SICE. 1817–1821. 2 indexed citations
8.
Uezato, Eiho, et al.. (2009). Intelligent Control Strategies for the Acrobot Using Neurocontroller Optimized by Genetic Algorithm. SICE Journal of Control Measurement and System Integration. 2(5). 317–324. 5 indexed citations
9.
Kinjo, Hiroshi, et al.. (2009). Neurocontroller with a genetic algorithm for nonholonomic systems: flying robot and four-wheel vehicle examples. Artificial Life and Robotics. 13(2). 464–469. 2 indexed citations
10.
Kinjo, Hiroshi, et al.. (2009). Intelligent control of a three-DOF planar underactuated manipulator. Artificial Life and Robotics. 14(2). 284–288. 2 indexed citations
11.
Senjyu, Tomonobu, Endusa Billy Muhando, Atsushi Yona, et al.. (2007). Maximum Wind Power Capture by Sensorless Rotor Position and Wind Velocity Estimation from Flux Linkage and Sliding Observer. International Journal of Emerging Electric Power Systems. 8(2). 4 indexed citations
12.
13.
Kinjo, Hiroshi, et al.. (2007). Searching performance of a real-coded genetic algorithm using biased probability distribution functions and mutation. Artificial Life and Robotics. 11(1). 37–41. 8 indexed citations
14.
Muhando, Endusa Billy, et al.. (2006). Online Neurocontrol Design Optimized by a Genetic Algorithm for a Multi-trailer System. Transactions of the Society of Instrument and Control Engineers. 42(9). 1017–1026. 4 indexed citations
15.
Kinjo, Hiroshi, et al.. (2006). Improvement of Searching Performance of Real-coded Genetic Algorithm by Use of Crossover with Biased Probability Distribution Function and Mutation. Transactions of the Society of Instrument and Control Engineers. 42(6). 581–590. 4 indexed citations
16.
Kinjo, Hiroshi, et al.. (2006). Regulator Design of Two-wheel Vehicle Using Neurocontroller Optimized by Genetic Algorithm. Transactions of the Society of Instrument and Control Engineers. 42(9). 1051–1057. 5 indexed citations
17.
Kinjo, Hiroshi, et al.. (2005). Hybrid Controller of Neural Network and Linear Regulator for Multi-trailer Systems Optimized by Genetic Algorithms. 제어로봇시스템학회 국제학술대회 논문집. 1080–1085. 1 indexed citations
18.
Kinjo, Hiroshi, et al.. (2004). Simulation study of multitrailer control system using neurocontrollers evolved by a modified GA. 3. 1364–1368. 2 indexed citations
19.
Kinjo, Hiroshi, et al.. (2001). Backward Movement Control of a Trailer-Truck System Using Neuro-Controllers Evolved by Genetic Algorithm. IEEJ Transactions on Electronics Information and Systems. 121(3). 631–641. 7 indexed citations
20.
Kinjo, Hiroshi, et al.. (1997). Pattern Recognition for Time Series Signals Using Recurrent Neural Networks by Genetic Algorithms. Transactions of the Institute of Systems Control and Information Engineers. 10(6). 304–314. 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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2026