Takuya Akashi

615 total citations
92 papers, 442 citations indexed

About

Takuya Akashi is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Signal Processing. According to data from OpenAlex, Takuya Akashi has authored 92 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 18 papers in Control and Systems Engineering and 12 papers in Signal Processing. Recurrent topics in Takuya Akashi's work include Advanced Image and Video Retrieval Techniques (22 papers), Advanced Vision and Imaging (15 papers) and Industrial Vision Systems and Defect Detection (10 papers). Takuya Akashi is often cited by papers focused on Advanced Image and Video Retrieval Techniques (22 papers), Advanced Vision and Imaging (15 papers) and Industrial Vision Systems and Defect Detection (10 papers). Takuya Akashi collaborates with scholars based in Japan, Australia and China. Takuya Akashi's co-authors include Yuji Wakasa, Chao Zhang, Kanya Tanaka, Tomohiro Akiyama, Takehito Hiraki, Noriyuki Okinaka, Minoru Fukumi, Stephen Karungaru, Haitian Sun and Xuequan Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Hydrogen Energy.

In The Last Decade

Takuya Akashi

77 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Takuya Akashi Japan	11	151	102	77	56	52	92	442
Lingyan Hu China	10	42 0.3×	109 1.1×	52 0.7×	20 0.4×	39 0.8×	68	396
Jaekyum Kim South Korea	12	164 1.1×	110 1.1×	45 0.6×	90 1.6×	246 4.7×	23	745
Cheng Chi China	7	86 0.6×	119 1.2×	74 1.0×	43 0.8×	75 1.4×	22	613
Wenhao Wu China	17	623 4.1×	74 0.7×	24 0.3×	12 0.2×	370 7.1×	71	972
Tao Gao China	12	86 0.6×	61 0.6×	82 1.1×	30 0.5×	141 2.7×	34	417
Zhihao Xu China	15	187 1.2×	335 3.3×	18 0.2×	71 1.3×	127 2.4×	84	731
Cong Yang China	13	227 1.5×	34 0.3×	26 0.3×	62 1.1×	94 1.8×	38	431
Hongyang Yu China	11	254 1.7×	41 0.4×	78 1.0×	107 1.9×	33 0.6×	56	488
M. A. Ansari India	13	339 2.2×	89 0.9×	18 0.2×	24 0.4×	166 3.2×	112	734

Countries citing papers authored by Takuya Akashi

Since Specialization

Citations

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

Fields of papers citing papers by Takuya Akashi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Akashi

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

Zhang, Chao, et al.. (2025). Subspace‐Guided Feature Reconstruction for Unsupervised Anomaly Localization. IET Image Processing. 19(1).

Bai, Lanlan, Tao Wu, Taku Ozaki, et al.. (2024). Detection of the nuclear translocation of androgen receptor using quantitative and automatic cell imaging analysis. Tissue and Cell. 93. 102631–102631.

Zhang, Chao, Xuequan Lu, & Takuya Akashi. (2020). Blur-Countering Keypoint Detection via Eigenvalue Asymmetry. IEEE Access. 8. 159077–159088. 2 indexed citations

Koyama, Takeshi, et al.. (2016). Development of Underwater Robot for Cleaning Tank Floor. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2016(0). 1A2–17a5. 1 indexed citations

Akashi, Takuya, et al.. (2016). DEVELOPMENT OF RAPID AND ELECTRIC FREE MEASUREMENT METHOD OF GROUNDWATER VELOCITY. Journal of Japan Society of Civil Engineers Ser C (Geosphere Engineering). 72(4). 377–384.

Akashi, Takuya, et al.. (2012). Frontal face detection with evolutionary template matching. Society of Instrument and Control Engineers of Japan. 1930–1933. 1 indexed citations

Tanaka, Kanya, et al.. (2010). Decoupling of Getting Up Detection Device Using Ultrasonic Radar by Changing Duty Ratio of Transmission Wave. IEEJ Transactions on Industry Applications. 130(5). 599–604. 1 indexed citations

Akashi, Takuya, et al.. (2010). Improvement of likelihood in particle filter for interactive color tracking. World Automation Congress. 1–6. 2 indexed citations

Wakasa, Yuji, et al.. (2009). Stability Analysis of the Particle Swarm Optimization Algorithm. Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 2009(0). 131–136. 2 indexed citations

10.

Yoshida, Akira, et al.. (2009). PID controller tuning based on the covariance matrix adaptation evolution strategy. 2009 ICCAS-SICE. 2982–2986. 11 indexed citations

11.

Karungaru, Stephen, Minoru Fukumi, Norio Akamatsu, & Takuya Akashi. (2009). DETECTION AND RECOGNITION OF VEHICLE LICENSE PLATES USING TEMPLATE MATCHING, GENETIC ALGORITHMS AND NEURAL NETWORKS. International journal of innovative computing, information & control. 5(7). 1975–1985. 5 indexed citations

12.

Mu, Shenglin, et al.. (2009). Intelligent IMC-PID control for ultrasonic motor. 2009 ICCAS-SICE. 1911–1915. 1 indexed citations

13.

Tanaka, Kanya, et al.. (2008). Variable Gain Type Internal Model Control-PID Speed Control for Ultrasonic Motors. IEEJ Transactions on Industry Applications. 128(12). 1326–1332. 3 indexed citations

14.

Akashi, Takuya, Yuji Wakasa, Kanya Tanaka, & Minoru Fukumi. (2008). Improving the Robustness of Lips Sensing with Evolutionary Video Processing. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 713–716. 4 indexed citations

15.

Tanaka, Kanya, et al.. (2007). PI Control Adjusted by GA for Ultra-Sonic Motor. IEEJ Transactions on Industry Applications. 127(6). 663–668. 3 indexed citations

16.

Akashi, Takuya, et al.. (2007). Using Genetic Algorithm for Eye Detection and Tracking in Video Sequence. SHILAP Revista de lepidopterología. 18 indexed citations

17.

Karungaru, Stephen, Minoru Fukumi, Takuya Akashi, & Norio Akamatsu. (2006). Optimizing feature extraction for the camera mouse using genetic algorithms. Annual Conference on Computers. 927–931. 1 indexed citations

18.

Karungaru, Stephen, et al.. (2006). Extraction of the liver tumor in CT images by real coded genetic algorithm (RGA). Computational intelligence. 259–264. 1 indexed citations

19.

Akashi, Takuya, et al.. (2005). A communication system using eye gaze. Society of Instrument and Control Engineers of Japan. 2 indexed citations

20.

Akashi, Takuya, et al.. (2004). High Speed Lips Region Extraction by Template Matching with Genetic Algorithms in Real Environments. 104. 57–62. 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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