Takuya Maekawa

3.1k total citations
172 papers, 2.1k citations indexed

About

Takuya Maekawa is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Takuya Maekawa has authored 172 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Computer Vision and Pattern Recognition, 45 papers in Electrical and Electronic Engineering and 28 papers in Signal Processing. Recurrent topics in Takuya Maekawa's work include Context-Aware Activity Recognition Systems (41 papers), Indoor and Outdoor Localization Technologies (30 papers) and Human Pose and Action Recognition (15 papers). Takuya Maekawa is often cited by papers focused on Context-Aware Activity Recognition Systems (41 papers), Indoor and Outdoor Localization Technologies (30 papers) and Human Pose and Action Recognition (15 papers). Takuya Maekawa collaborates with scholars based in Japan, United States and India. Takuya Maekawa's co-authors include Takahiro Hara, Mehboob Alam, Y. Inamori, Chuanping Feng, Yan Yang, S. Tokunaga, Shojiro Nishio, Yasuyuki Matsushita, Shinji Watanabe and D Metcalf and has published in prestigious journals such as Nature Communications, Carbon and Environmental Pollution.

In The Last Decade

Takuya Maekawa

157 papers receiving 2.0k citations

Peers

Takuya Maekawa
Xiaoping Fan China
Md. Saiful Islam Australia
Lei Wei China
Wang Zhi-quan China
Can Wang China
Raghavendra Singh India
Shengjie Li China
Shih‐Chieh Chen Taiwan
Dong An China
Xiaoping Fan China
Takuya Maekawa
Citations per year, relative to Takuya Maekawa Takuya Maekawa (= 1×) peers Xiaoping Fan

Countries citing papers authored by Takuya Maekawa

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Maekawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Maekawa

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Maekawa. A scholar is included among the top collaborators of Takuya Maekawa 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 Maekawa. Takuya Maekawa 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.
Maekawa, Takuya, Yuji Kohno, Akira Yasuhara, et al.. (2025). Development of an image-forming system for the magnetic field-free electron microscope. Ultramicroscopy. 276. 114181–114181. 1 indexed citations
2.
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Goto, Yusuke, et al.. (2024). Hidden rivals: the negative impacts of dolphinfish on seabird foraging behaviour. Biology Letters. 20(8). 20240223–20240223. 1 indexed citations
4.
Yoda, Ken, et al.. (2024). Exploring deep learning techniques for wild animal behaviour classification using animal‐borne accelerometers. Methods in Ecology and Evolution. 15(4). 716–731. 14 indexed citations
5.
Maekawa, Takuya, et al.. (2024). Predicting Signal Reception Information from GNSS Satellites in Indoor Environments without Site Survey: Towards Opportunistic Indoor Positioning Based on GNSS Fingerprinting. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 8(3). 1–30. 1 indexed citations
6.
Maekawa, Takuya, et al.. (2024). Preliminary Investigation of Activity Prediction in Nursing Homes using Activity History with Erroneous Time Stamps. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 851–855.
7.
Cai, Zhongmin, et al.. (2024). AoA-net: Estimating Angle-of-arrival Using Wi-Fi Channel State Information Based on Deep Neural Networks with Subcarrier Selection. Journal of Information Processing. 32(0). 863–872. 1 indexed citations
8.
Zhang, Yizhe, et al.. (2023). Automated construction of Wi-Fi-based indoor logical location predictor using crowd-sourced photos with Wi-Fi signals. Pervasive and Mobile Computing. 89. 101742–101742. 4 indexed citations
9.
Yoda, Ken, et al.. (2023). Automatic recording of rare behaviors of wild animals using video bio-loggers with on-board light-weight outlier detector. PNAS Nexus. 3(1). pgad447–pgad447. 7 indexed citations
10.
Xia, Qingxin, et al.. (2022). MGA-Net+: Acceleration-based packaging work recognition using motif-guided attention networks. Pervasive and Mobile Computing. 88. 101735–101735.
11.
Maekawa, Takuya, et al.. (2022). GPS-assisted Indoor Pedestrian Dead Reckoning. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 6(4). 1–36. 3 indexed citations
12.
Maekawa, Takuya, Takahiro Hara, Kentarou Matsumura, et al.. (2021). Cross-species behavior analysis with attention-based domain-adversarial deep neural networks. Nature Communications. 12(1). 5519–5519. 6 indexed citations
13.
Maekawa, Takuya, et al.. (2021). IndoLabel: Predicting Indoor Location Class by Discovering Location-Specific Sensor Data Motifs. IEEE Sensors Journal. 22(6). 5372–5385. 7 indexed citations
14.
Maekawa, Takuya, Yizhe Zhang, Sakiko Matsumoto, et al.. (2020). Deep learning-assisted comparative analysis of animal trajectories with DeepHL. Nature Communications. 11(1). 5316–5316. 33 indexed citations
15.
Suzuki, Hirokazu, Sakiko Matsumoto, Masaki Samejima, et al.. (2020). Machine learning enables improved runtime and precision for bio-loggers on seabirds. Communications Biology. 3(1). 633–633. 35 indexed citations
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Maekawa, Takuya, Yasue Kishino, Yutaka Yanagisawa, & Yasushi Sakurai. (2012). WristSense: Wrist-worn sensor device with camera for daily activity recognition. 510–512. 21 indexed citations
18.
Maekawa, Takuya, Takahiro Hara, & Shojiro Nishio. (2005). An Automatic Scrolling Method for Web Page Browsing on Small Screen Devices. 105(171). 131–136. 2 indexed citations
19.
Maekawa, Takuya, et al.. (1997). Studies on the Inactivation of Water Bloom Particles (Part I)-Efficiency of Ozone and Ultraviolet Light Treatments.. 28(2). 53–60.
20.
Adachi, Hidemitsu, Hironori Fujisawa, Takuya Maekawa, Takehiro Yamashita, & Hiroki Ito. (1995). Changes in the extracellular glutamate concentrations in the rat cortex following localized hyperthermia. International Journal of Hyperthermia. 11(4). 587–599. 17 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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