Takehiro Kashiyama

2.2k total citations · 3 hit papers
36 papers, 1.4k citations indexed

About

Takehiro Kashiyama is a scholar working on Computer Vision and Pattern Recognition, Transportation and Building and Construction. According to data from OpenAlex, Takehiro Kashiyama has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 13 papers in Transportation and 11 papers in Building and Construction. Recurrent topics in Takehiro Kashiyama's work include Human Mobility and Location-Based Analysis (12 papers), Traffic Prediction and Management Techniques (9 papers) and Video Surveillance and Tracking Methods (9 papers). Takehiro Kashiyama is often cited by papers focused on Human Mobility and Location-Based Analysis (12 papers), Traffic Prediction and Management Techniques (9 papers) and Video Surveillance and Tracking Methods (9 papers). Takehiro Kashiyama collaborates with scholars based in Japan, United States and India. Takehiro Kashiyama's co-authors include Yoshihide Sekimoto, Hiroya Maeda, Hiroshi Omata, Toshikazu Seto, Sanjay Kumar Ghosh, Durga Toshniwal, Deeksha Arya, Alexander Mráz, Takahiro Yabe and Hiroshi Kanasugi and has published in prestigious journals such as IEEE Access, Sensors and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Takehiro Kashiyama

28 papers receiving 1.3k citations

Hit Papers

Road Damage Detection and... 2018 2026 2020 2023 2018 2020 2021 100 200 300 400 500
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. Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images
    2018 592 citations Hiroya Maeda, Yoshihide Sekimoto et al. profile →
  2. Generative adversarial network for road damage detection
    2020 239 citations Hiroya Maeda, Takehiro Kashiyama et al. profile →
  3. Deep learning-based road damage detection and classification for multiple countries
    2021 181 citations Deeksha Arya, Hiroya Maeda et al. Automation in Construction profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Takehiro Kashiyama 1.1k 291 290 187 164 36 1.4k
Yichang Tsai 1.6k 1.5× 316 1.1× 362 1.2× 272 1.5× 205 1.3× 139 2.1k
Hiroya Maeda 1.3k 1.2× 333 1.1× 351 1.2× 212 1.1× 155 0.9× 21 1.5k
Hongjo Kim 1.0k 1.0× 94 0.3× 277 1.0× 169 0.9× 352 2.1× 46 1.6k
Hiroshi Omata 890 0.8× 215 0.7× 229 0.8× 160 0.9× 101 0.6× 10 1.0k
Seung-Ki Ryu 534 0.5× 114 0.4× 95 0.3× 96 0.5× 78 0.5× 35 622
Chengbo Ai 350 0.3× 87 0.3× 96 0.3× 88 0.5× 80 0.5× 64 649
Allen Zhang 2.5k 2.4× 340 1.2× 166 0.6× 624 3.3× 182 1.1× 62 2.8k
Difei Wu 610 0.6× 106 0.4× 79 0.3× 146 0.8× 102 0.6× 48 840

Countries citing papers authored by Takehiro Kashiyama

Since Specialization
Citations

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

Fields of papers citing papers by Takehiro Kashiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takehiro Kashiyama

This figure shows the co-authorship network connecting the top 25 collaborators of Takehiro Kashiyama. A scholar is included among the top collaborators of Takehiro Kashiyama 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 Takehiro Kashiyama. Takehiro Kashiyama 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.
Kashiyama, Takehiro, et al.. (2022). Citywide reconstruction of traffic flow using the vehicle-mounted moving camera in the CARLA driving simulator. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 21. 2292–2299. 4 indexed citations
2.
Kashiyama, Takehiro, et al.. (2022). Vehicle re-identification and trajectory reconstruction using multiple moving cameras in the CARLA driving simulator. 2022 IEEE International Conference on Big Data (Big Data). 1858–1865. 2 indexed citations
3.
Sekimoto, Yoshihide, et al.. (2022). Online real-time pedestrian tracking from medium altitude aerial footage with camera motion cancellation. Computer Vision and Image Understanding. 217. 103386–103386.
4.
Kashiyama, Takehiro, et al.. (2021). Citywide reconstruction of cross-sectional traffic flow from moving camera videos. 2021 IEEE International Conference on Big Data (Big Data). 1670–1678. 10 indexed citations
5.
Arya, Deeksha, Hiroya Maeda, Sanjay Kumar Ghosh, et al.. (2021). Deep learning-based road damage detection and classification for multiple countries. Automation in Construction. 132. 103935–103935. 181 indexed citations breakdown →
6.
Arya, Deeksha, Hiroya Maeda, Sanjay Kumar Ghosh, et al.. (2020). Global Road Damage Detection: State-of-the-art Solutions. arXiv (Cornell University). 5533–5539. 108 indexed citations
7.
Kashiyama, Takehiro, Yoshihide Sekimoto, Toshikazu Seto, & Ko Ko Lwin. (2020). Analyzing Road Coverage of Public Vehicles According to Number and Time Period for Installation of Road Inspection Systems. ISPRS International Journal of Geo-Information. 9(3). 161–161. 2 indexed citations
8.
Kashiyama, Takehiro, et al.. (2019). An Analysis of Factors Influencing Disaster Mobility Using Location Data from Smartphones: Case Study of Western Japan Flooding. Journal of Disaster Research. 14(6). 903–911. 6 indexed citations
9.
Seto, Toshikazu, Yoshihide Sekimoto, Hiroshi Omata, et al.. (2019). The Development of Open Source Based Citizen Collaboration Applications for Infrastructure Management: My City Report. Proceedings of the ICA. 2. 1–4.
10.
Kashiyama, Takehiro, et al.. (2018). Hybrid System for Generating Data on Human Flow in a Tsunami Disaster. Journal of Disaster Research. 13(2). 347–357. 2 indexed citations
11.
Sekimoto, Yoshihide, et al.. (2018). Rent Estimation Model and Visualization of Area Potential Using Deep Neural Network. Journal of the City Planning Institute of Japan. 53(3). 1499–1506.
12.
Kashiyama, Takehiro, et al.. (2018). Deep Reinforcement Learning Approach for Train Rescheduling Utilizing Graph Theory. 4525–4533. 29 indexed citations
13.
Kashiyama, Takehiro, et al.. (2017). Open PFLOW: Creation and evaluation of an open dataset for typical people mass movement in urban areas. Transportation Research Part C Emerging Technologies. 85. 249–267. 27 indexed citations
14.
Kashiyama, Takehiro, et al.. (2016). Human Mobility Estimation Following Massive Disaster Using Filtering Approach. Journal of Disaster Research. 11(2). 217–224. 9 indexed citations
15.
Sekimoto, Yoshihide, et al.. (2014). A method for estimating the applicability of ALB (Airborne Laser Bathymetry) technology by airplane to national river area. Journal of the Japan society of photogrammetry and remote sensing. 53(5). 213–218. 1 indexed citations
16.
17.
Kashiyama, Takehiro, et al.. (2012). Design and implementation of DF-Salvia which provides mandatory access control based on data flow. International MultiConference of Engineers and Computer Scientists. 182–189.
18.
Tanaka, Shigenori, et al.. (2011). Development of Conversion Technology from SXF to Extended Digital Mapping. Journal of Japan Society for Fuzzy Theory and Intelligent Informatics. 23(4). 555–571.
19.
Kashiyama, Takehiro, et al.. (2007). Development of Data Convert System from DM to SXF. 16(0). 281–288. 1 indexed citations
20.
Kashiyama, Takehiro, et al.. (2002). A New Estimating Method for Visual Servoing Using Hough Transform. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2002(0). 53–53.

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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