Jun Ota
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- Advanced Manufacturing and Logistics Optimization 80
- Scheduling and Optimization Algorithms 28
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- Robotic Path Planning Algorithms 152
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- Robot Manipulation and Learning 78
- Robotic Mechanisms and Dynamics 33
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- Optimization and Search Problems 31
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- Modular Robots and Swarm Intelligence 82
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- Robotics and Sensor-Based Localization 50
- Co-authors
- Tamio AraiRyosuke ChibaHajime AsamaMasao SugiEiichi YoshidaYanjiang HuangYasumichi AIYAMADaisuke Kurabayashi
- Cited by
- Industrial and Manufacturing EngineeringComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- Advanced Robotics (37 papers)Robotics and Autonomous Systems (14 papers)International Journal of Automation Technology (10 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Jun Ota
420 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 152
- Industrial and Manufacturing Engineering 848
- Computer Vision and Pattern Recognition 1.4k
- Control and Systems Engineering 1.1k
- Physical Therapy, Sports Therapy and Rehabilitation 165
- Computer Networks and Communications 831
Countries citing papers authored by Jun Ota
This map shows the geographic impact of Jun Ota'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 Ota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ota more than expected).
Fields of papers citing papers by Jun Ota
This network shows the impact of papers produced by Jun Ota. 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 Ota. The network helps show where Jun Ota may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Ota, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 9 | |
| 10 | 2020 | 5 | |
| 11 | 2020 | 9 | |
| 12 | 2019 | 9 | |
| 13 | Quantification of Muscle Fatigue Using Surface Electromyography for Isometric Handgrip Task | 2017 | 2 |
| 14 | 2014 | 8 | |
| 15 | 2013 | 5 | |
| 16 | Development of a nursing self-training system for transferring patient from bed to wheelchair | 2012 | 3 |
| 17 | 2011 | 0 | |
| 18 | 2003 | 2 | |
| 19 | 2001 | 1 | |
| 20 | Human-robot gui system with group control for multiple mobile robot systems : System monitoring | 1999 | 2 |
About Jun Ota
Jun Ota is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 468 papers that have together received 3.8k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (152 papers), Modular Robots and Swarm Intelligence (82 papers), Advanced Manufacturing and Logistics Optimization (80 papers), Robot Manipulation and Learning (78 papers), Robotics and Sensor-Based Localization (50 papers), Robotic Mechanisms and Dynamics (33 papers), Optimization and Search Problems (31 papers) and Scheduling and Optimization Algorithms (28 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (848 citations), Computer Vision and Pattern Recognition (1.4k citations) and Control and Systems Engineering (1.1k citations). Jun Ota has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Tamio Arai, Ryosuke Chiba, Hajime Asama, Masao Sugi, Eiichi Yoshida, Yanjiang Huang, Yasumichi AIYAMA, Daisuke Kurabayashi, Xianmin Zhang and Atsushi Yamashita. Their work appears in journals such as Advanced Robotics, Robotics and Autonomous Systems, International Journal of Automation Technology, Sensors and CIRP Annals.
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.