Jun Ohya

3.5k total citations · 1 hit paper
155 papers, 2.1k citations indexed

About

Jun Ohya is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Control and Systems Engineering. According to data from OpenAlex, Jun Ohya has authored 155 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Computer Vision and Pattern Recognition, 23 papers in Human-Computer Interaction and 20 papers in Control and Systems Engineering. Recurrent topics in Jun Ohya's work include Advanced Vision and Imaging (39 papers), Video Surveillance and Tracking Methods (30 papers) and Human Pose and Action Recognition (29 papers). Jun Ohya is often cited by papers focused on Advanced Vision and Imaging (39 papers), Video Surveillance and Tracking Methods (30 papers) and Human Pose and Action Recognition (29 papers). Jun Ohya collaborates with scholars based in Japan, United States and Germany. Jun Ohya's co-authors include Junji Yamato, Kenichiro Ishii, Shinjiro Kawato, Akira Utsumi, Akio Shio, Shigeru Akamatsu, Shigeo Morishima, Fumio Kishino, Hiroki MORI and F. Kishino and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Pattern Recognition.

In The Last Decade

Jun Ohya

127 papers receiving 1.9k citations

Hit Papers

Recognizing human action in time-sequential images using ... 2003 2026 2010 2018 2003 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Recognizing human action in time-sequential images using hidden Markov model
    2003 744 citations Junji Yamato, Jun Ohya et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Ohya Japan 19 1.6k 541 391 324 227 155 2.1k
Douglas Chai Australia 20 1.7k 1.1× 415 0.8× 243 0.6× 258 0.8× 237 1.0× 87 2.7k
Anupam Agrawal India 16 1.1k 0.7× 1.1k 2.0× 331 0.8× 419 1.3× 283 1.2× 92 2.1k
Ming Ouhyoung Taiwan 25 2.2k 1.4× 1.1k 2.0× 179 0.5× 307 0.9× 407 1.8× 113 4.0k
Jordi Gonzàlez Spain 26 1.6k 1.0× 257 0.5× 526 1.3× 200 0.6× 78 0.3× 117 2.4k
Yaser Yacoob United States 22 2.3k 1.5× 391 0.7× 380 1.0× 306 0.9× 158 0.7× 51 2.7k
Q. Cai United States 9 1.9k 1.2× 442 0.8× 519 1.3× 618 1.9× 206 0.9× 9 2.4k
Chung‐Lin Huang Taiwan 20 1.1k 0.7× 590 1.1× 165 0.4× 240 0.7× 162 0.7× 118 1.6k
Luigi Cinque Italy 26 1.3k 0.8× 229 0.4× 571 1.5× 181 0.6× 89 0.4× 159 2.3k
Yutaka Satoh Japan 17 1.9k 1.2× 257 0.5× 889 2.3× 334 1.0× 81 0.4× 95 2.6k
Lale Akarun Türkiye 24 1.3k 0.8× 432 0.8× 192 0.5× 164 0.5× 115 0.5× 151 1.9k

Countries citing papers authored by Jun Ohya

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ohya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Ohya

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Ohya. A scholar is included among the top collaborators of Jun Ohya 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 Ohya. Jun Ohya 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
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Tatehara, Seiko, et al.. (2022). Automatic Diagnosis of Early-Stage Oral Cancer and Precancerous Lesions from ALA-PDD Images Using GAN and CNN. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 2161–2164. 1 indexed citations
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Suzuki, Kazufumi, Satoru Morita, Kenji Endo, et al.. (2021). Learning effectiveness of using augmented reality technology in central venous access procedure: an experiment using phantom and head-mounted display. International Journal of Computer Assisted Radiology and Surgery. 16(6). 1069–1074. 16 indexed citations
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Li, Ye, Jun Ohya, Toshio Chiba, Rong Xu, & Hiromasa Yamashita. (2014). Study of Recognizing Hand Actions from Video Sequences during Suture Surgeries Based on Temporally-Sectioned SIFT and Sliding Window Based Neural Networks (パターン認識・メディア理解). 113(493). 151–156. 1 indexed citations
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Shimada, Satoshi, et al.. (2010). •” Media: Text Based CMC Tool Which Touch off Informal Communication. 39(4). 442–450.
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Ohya, Jun, et al.. (2007). Skeletal animation by spline aligned deformation on the GPU (画像工学). 106(608). 47–52. 1 indexed citations
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Ohya, Jun, Akira Utsumi, & Junji Yamato. (2002). Analyzing video sequences of multiple humans : tracking, posture estimation and behavior recognition. Kluwer Academic eBooks. 3. 10 indexed citations
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Ohya, Jun, et al.. (1999). Indexing Method for Three-Dimensional Position Estimation. IEICE Transactions on Information and Systems. 82(12). 1597–1604. 2 indexed citations
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Ohya, Jun, et al.. (1998). Multiple Camera Image Processing based Real-time Motion Capture for "Shall We Dance?" Project. 98(394). 15–22. 1 indexed citations
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Sengupta, K. & Jun Ohya. (1997). Novel scene generation, merging and stitching views using the 2D affine space. 602–603. 4 indexed citations
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Ohya, Jun, et al.. (1996). Three-Dimensional Image. Realistic and Real-time Reproduction of Human Body Movements for Virtual Space Teleconferencing.. The Journal of the Institute of Television Engineers of Japan. 50(9). 1352–1362. 1 indexed citations
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Ohya, Jun, et al.. (1996). New Image/Video Media and It's Application. Real-time Facial Expression Detection for Virtual Space Teleconferencing.. The Journal of the Institute of Television Engineers of Japan. 50(10). 1497–1506.
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Ohya, Jun, et al.. (1995). Sensing of Feeling and "Kansei". Facial Expression Recognition from Image Sequence Using Hidden Markov Model.. The Journal of the Institute of Television Engineers of Japan. 49(8). 1060–1067. 6 indexed citations
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Ohya, Jun, et al.. (1994). Homotopy-Based 3D Animation of Facial Expressions. 94(184). 9–16. 4 indexed citations
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Kishino, Fumio, et al.. (1993). Virtual Space Teleconferencing System - Real Time Detection and Reproduction of 3-D Human Images.. International Conference on Human-Computer Interaction. 669–674. 9 indexed citations
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Ohya, Jun, et al.. (1993). Similarity retrieval method using multidimensional psychological space. Systems and Computers in Japan. 24(11). 98–109. 2 indexed citations
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Sato, Yoshinobu, Jun Ohya, & Kenichiro Ishii. (1993). Recovery of Hierarchical Part Structure of 3D Shape from Range Image. Transactions of the Institute of Electronics, Information and Communication Engineers. 76(8). 1624–1636. 2 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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