Jun Ueda

3.5k total citations
206 papers, 2.6k citations indexed

About

Jun Ueda is a scholar working on Biomedical Engineering, Control and Systems Engineering and Cognitive Neuroscience. According to data from OpenAlex, Jun Ueda has authored 206 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Biomedical Engineering, 60 papers in Control and Systems Engineering and 33 papers in Cognitive Neuroscience. Recurrent topics in Jun Ueda's work include Muscle activation and electromyography studies (47 papers), Stroke Rehabilitation and Recovery (22 papers) and Robot Manipulation and Learning (22 papers). Jun Ueda is often cited by papers focused on Muscle activation and electromyography studies (47 papers), Stroke Rehabilitation and Recovery (22 papers) and Robot Manipulation and Learning (22 papers). Jun Ueda collaborates with scholars based in United States, Japan and Italy. Jun Ueda's co-authors include Tsukasa Ogasawara, Jianbo Yue, Kelly Wentz‐Hunter, H. Harry Asada, Yuichi Kurita, Minoru Shinohara, Ming Ding, T. Yoshikawa, Masahiro Kondo and Joshua Schultz and has published in prestigious journals such as Experimental Brain Research, IEEE Transactions on Biomedical Engineering and Journal of Cellular Physiology.

In The Last Decade

Jun Ueda

189 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Ueda United States 27 1.0k 705 519 419 335 206 2.6k
Kenji Inoue Japan 27 616 0.6× 543 0.8× 1.4k 2.6× 257 0.6× 77 0.2× 203 3.5k
Cameron N. Riviere United States 34 2.2k 2.1× 1000 1.4× 459 0.9× 521 1.2× 257 0.8× 167 4.0k
Nabil Simaan United States 37 4.2k 4.0× 2.0k 2.8× 151 0.3× 1.2k 2.8× 293 0.9× 139 5.3k
Wei Tech Ang Singapore 29 1.1k 1.1× 730 1.0× 55 0.1× 226 0.5× 347 1.0× 174 2.7k
Wansoo Kim South Korea 22 803 0.8× 340 0.5× 180 0.3× 186 0.4× 92 0.3× 83 2.1k
Leonardo S. Mattos Italy 24 819 0.8× 138 0.2× 136 0.3× 146 0.3× 144 0.4× 155 2.2k
Wenwei Yu Japan 23 921 0.9× 145 0.2× 110 0.2× 84 0.2× 683 2.0× 170 2.2k
Ferdinando Rodriguez y Baena United Kingdom 34 2.4k 2.3× 893 1.3× 37 0.1× 682 1.6× 153 0.5× 192 4.2k
Yuichi Kurita Japan 21 688 0.7× 264 0.4× 41 0.1× 178 0.4× 376 1.1× 196 1.8k
Jake J. Abbott United States 36 5.6k 5.3× 440 0.6× 71 0.1× 3.8k 9.0× 384 1.1× 136 8.4k

Countries citing papers authored by Jun Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Ueda

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Ueda. A scholar is included among the top collaborators of Jun Ueda 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 Ueda. Jun Ueda 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.
Ueda, Jun, et al.. (2024). Affine Transformation-Based Perfectly Undetectable False Data Injection Attacks on Remote Manipulator Kinematic Control With Attack Detector. IEEE Robotics and Automation Letters. 9(10). 8690–8697. 4 indexed citations
2.
Hao, Zhijian, et al.. (2019). A 5 mg micro-bristle-bot fabricated by two-photon lithography. Journal of Micromechanics and Microengineering. 29(10). 105006–105006. 43 indexed citations
3.
Ueda, Jun, et al.. (2018). Inverse Error Function Trajectories for Image Reconstruction. 7527–7532. 1 indexed citations
4.
Hattori, Minoru, Hiroyuki Egi, Hideki Ohdan, et al.. (2014). Surgical Grasping Forceps with the Sensorimotor Enhancement Capability by Stochastic Resonance. Journal of the Robotics Society of Japan. 32(6). 566–573.
5.
Ueda, Jun, et al.. (2014). Evaluation of the New Digital Goldmann Applanation Tonometer for Measuring Intraocular Pressure. Journal of Ophthalmology. 2014. 1–5. 4 indexed citations
7.
Ishiguro, Hiroshi, et al.. (2013). A Study on Teaching Specific Movements Using Tendon Vibration in Humans. IEICE Technical Report; IEICE Tech. Rep.. 112(480). 31–36. 2 indexed citations
8.
Kurita, Yuichi, Minoru Shinohara, & Jun Ueda. (2011). Wearable sensorimotor enhancer for a fingertip based on stochastic resonance. 3790–3795. 13 indexed citations
9.
Ding, Ming, Jun Ueda, & Tsukasa Ogasawara. (2009). Pinpointed Muscle Force Control Using a Power-assisting Device. Journal of the Robotics Society of Japan. 27(9). 1037–1045. 7 indexed citations
10.
Ikeda, Atsutoshi, Yuichi Kurita, Jun Ueda, & Tsukasa Ogasawara. (2008). 1P1-A11 Measurement of pinching motion for the quantification of pinching facility. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2008(0). _1P1–A11_1. 1 indexed citations
11.
Ding, Ming, et al.. (2008). 1A1-C04 Axial Displacement Estimation of McKibben Actuator using Flexible Sensor. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2008(0). _1A1–C04_1. 1 indexed citations
12.
Fukuchi, Takeo, et al.. (2006). Comparison of Fornix- and Limbus-Based Conjunctival Flaps in Mitomycin C Trabeculectomy with Laser Suture Lysis in Japanese Glaucoma Patients. Japanese Journal of Ophthalmology. 50(4). 338–344. 18 indexed citations
13.
Takemura, Hiroshi, et al.. (2005). Investigation of the Elastic Contact Model of the Plantar in Human Walking based on the Incipient Slip. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 1175–1176. 3 indexed citations
14.
Takemura, Hiroshi, et al.. (2003). A Study of the toe Function for Human Walking. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2003(0). 57–57. 2 indexed citations
15.
Nakamura, Hiroshi, Jun Ueda, J Sugár, & Jiguang Yue. (2002). Developmental Expression of SP1 in the Mouse Cornea. Investigative Ophthalmology & Visual Science. 43(13). 3204–3204. 1 indexed citations
16.
Seki, Masaaki, Takahiko Fukuchi, Jun Ueda, et al.. (2002). Thy-1 Protein Measured by a Novel Enzyme Immunoassay in Rat Retina. Investigative Ophthalmology & Visual Science. 43(13). 751–751. 2 indexed citations
17.
Wentz‐Hunter, Kelly, Jun Ueda, & Jianbo Yue. (2002). Protein interactions with myocilin.. PubMed. 43(1). 176–82. 41 indexed citations
18.
Ueda, Jun, Kelly Wentz‐Hunter, & Jianbo Yue. (2002). Distribution of myocilin and extracellular matrix components in the juxtacanalicular tissue of human eyes.. PubMed. 43(4). 1068–76. 131 indexed citations
19.
Ueda, Jun. (1998). Experimental Glaucoma Model in the Rat Induced by Laser Trabecular Photocoagulation After an Intracameral Injection of India Ink. Japanese Journal of Ophthalmology. 42(5). 337–344. 124 indexed citations
20.
Funaki, Haruko, et al.. (1996). A Case of Peters' Anomaly Complicated by Axenfeld's Anomaly. 47(3). 322–325. 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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