Yoshihide Sekimoto

5.2k total citations · 5 hit papers
156 papers, 3.2k citations indexed

About

Yoshihide Sekimoto is a scholar working on Transportation, Ocean Engineering and Global and Planetary Change. According to data from OpenAlex, Yoshihide Sekimoto has authored 156 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Transportation, 41 papers in Ocean Engineering and 26 papers in Global and Planetary Change. Recurrent topics in Yoshihide Sekimoto's work include Human Mobility and Location-Based Analysis (80 papers), Urban Transport and Accessibility (45 papers) and Infrastructure Maintenance and Monitoring (21 papers). Yoshihide Sekimoto is often cited by papers focused on Human Mobility and Location-Based Analysis (80 papers), Urban Transport and Accessibility (45 papers) and Infrastructure Maintenance and Monitoring (21 papers). Yoshihide Sekimoto collaborates with scholars based in Japan, United States and India. Yoshihide Sekimoto's co-authors include Hiroya Maeda, Takehiro Kashiyama, Hiroshi Omata, Toshikazu Seto, Ryosuke Shibasaki, Deeksha Arya, Takahiro Yabe, Kota Tsubouchi, Sanjay Kumar Ghosh and Durga Toshniwal and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Yoshihide Sekimoto

130 papers receiving 3.1k citations

Hit Papers

5 papers align trajectories

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.

Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images

2018 592 citations Hiroya Maeda, Yoshihide Sekimoto et al. profile →
Generative adversarial network for road damage detection

2020 239 citations Hiroya Maeda, Takehiro Kashiyama et al. profile →
Deep learning-based road damage detection and classification for multiple countries

2021 181 citations Deeksha Arya, Hiroya Maeda et al. profile →
RDD2020: An annotated image dataset for automatic road damage detection using deep learning

2021 155 citations Deeksha Arya, Hiroya Maeda et al. profile →
Evaluating the subjective perceptions of streetscapes using street-view images

2024 53 citations Yoshiki Ogawa, Yoshihide Sekimoto et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yoshihide Sekimoto Japan	26	1.4k	983	604	501	455	156	3.2k
Jianping Wu China	32	335 0.2×	822 0.8×	186 0.3×	296 0.6×	781 1.7×	222	3.2k
Won‐Hwa Hong South Korea	26	335 0.2×	249 0.3×	570 0.9×	168 0.3×	726 1.6×	191	2.5k
Washington Y. Ochieng United Kingdom	39	370 0.3×	951 1.0×	836 1.4×	274 0.5×	1.1k 2.4×	221	5.5k
Rui Yong China	33	715 0.5×	390 0.4×	528 0.9×	564 1.1×	59 0.1×	152	3.5k
Jinjun Tang China	39	219 0.2×	2.4k 2.4×	395 0.7×	370 0.7×	2.2k 4.9×	182	5.0k
Eren Erman Özgüven United States	28	364 0.3×	705 0.7×	481 0.8×	50 0.1×	382 0.8×	174	2.5k
Durga Toshniwal India	28	551 0.4×	113 0.1×	201 0.3×	322 0.6×	476 1.0×	151	3.7k
Şebnem Düzgün Türkiye	29	541 0.4×	138 0.1×	261 0.4×	73 0.1×	288 0.6×	125	3.1k
Luis Miranda-Moreno Canada	47	528 0.4×	3.5k 3.5×	229 0.4×	185 0.4×	1.2k 2.6×	204	5.9k
Zhibin Li China	40	241 0.2×	2.4k 2.4×	230 0.4×	408 0.8×	2.2k 4.7×	230	5.8k

Countries citing papers authored by Yoshihide Sekimoto

Since Specialization

Citations

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

Fields of papers citing papers by Yoshihide Sekimoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshihide Sekimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Yoshihide Sekimoto. A scholar is included among the top collaborators of Yoshihide Sekimoto 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 Yoshihide Sekimoto. Yoshihide Sekimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Masui, Hiroshi, et al.. (2025). Advancing the Sensitivity Frontier in digital contact tracing: Comparative analysis of proposed methods toward maximized utility. Informatics in Medicine Unlocked. 53. 101622–101622.

Ogawa, Yoshiki, et al.. (2025). Street Space Quality Improvement: Fusion of Subjective Perception in Street View Image Generation. Information Fusion. 125. 103467–103467. 1 indexed citations

Huang, Ailing, et al.. (2025). Leveraging Spatial–Temporal Heterogeneity and Cross-Mode Interactions: A Meta-Learning Approach for Multimodal Transportation Demand Prediction. IEEE Transactions on Intelligent Transportation Systems. 26(12). 22374–22390.

Arya, Deeksha, Hiroya Maeda, & Yoshihide Sekimoto. (2024). From global challenges to local solutions: A review of cross-country collaborations and winning strategies in road damage detection. Advanced Engineering Informatics. 60. 102388–102388. 22 indexed citations

Yabe, Takahiro, Kota Tsubouchi, Toru Shimizu, et al.. (2024). YJMob100K: City-scale and longitudinal dataset of anonymized human mobility trajectories. Scientific Data. 11(1). 397–397. 18 indexed citations

Demissie, Merkebe Getachew, et al.. (2024). G2Viz: an online tool for visualizing and analyzing a public transit system from GTFS data. Public Transport. 16(3). 893–928. 6 indexed citations

Ogawa, Yoshiki, et al.. (2023). People Flow Trend Estimation Approach and Quantitative Explanation Based on the Scene Level Deep Learning of Street View Images. Remote Sensing. 15(5). 1362–1362.

Arya, Deeksha, et al.. (2023). Unveiling the Road Matrix: Development of Versatile Pavement Surface Models from Low-resolution Aerial Images. 738–747.

Sekimoto, Yoshihide, et al.. (2022). Do open data impact citizens’ behavior? Assessing face mask panic buying behaviors during the Covid-19 pandemic. Scientific Reports. 12(1). 17607–17607. 8 indexed citations

10.

Sekimoto, Yoshihide, et al.. (2018). Inference of Human Spatiotemporal Mobility in Greater Maputo by Mobile Phone Big Data Mining.. International Joint Conference on Artificial Intelligence. 1–8. 2 indexed citations

11.

Kanasugi, Hiroshi, et al.. (2018). Inferencing Human Spatiotemporal Mobility in Greater Maputo via Mobile Phone Big Data Mining. ISPRS International Journal of Geo-Information. 7(7). 259–259. 15 indexed citations

12.

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

13.

Witayangkurn, Apichon, et al.. (2013). Trip reconstruction and transportation mode extraction on low data rate GPS data from mobile phone. Annual Conference on Computers. 1–19. 14 indexed citations

14.

Nakamura, Toshikazu, et al.. (2013). ESTIMATION OF PEOPLE FLOW IN AN URBAN AREA USING PARTICLE FILTER. Journal of Japan Society of Civil Engineers Ser D3 (Infrastructure Planning and Management). 69(3). 227–236. 4 indexed citations

15.

Sekimoto, Yoshihide, et al.. (2013). AVAILABILITY AS TOURISM STATISTICAL DATA OF LARGE SCALE AND LONG TERM HUMAN MOBILITY TRACKS BY GPS : A STUDY OF ISHIKAWA PREF. Journal of Japan Society of Civil Engineers Ser D3 (Infrastructure Planning and Management). 69(5). I_345–I_352. 5 indexed citations

16.

Sekimoto, Yoshihide, et al.. (2012). Framework of Road-update Information and its Collection from Road Managers. 19th ITS World CongressERTICO - ITS EuropeEuropean CommissionITS AmericaITS Asia-Pacific.

17.

Minami, Yoshitaka, et al.. (2011). STUDY ON GEO-CODING OF ROAD EVENTS USING ROAD NAMES. Journal of Japan Society of Civil Engineers Ser F3 (Civil Engineering Informatics). 67(1). 7–17.

18.

Sekimoto, Yoshihide, et al.. (2009). A study on the correlation between the number of stores and the time slot population based on person flow : The comparative analysis between the time and space interpolated person trip survey data and the census data. Journal of the City Planning Institute of Japan. 44(3). 781–786.

19.

Sekimoto, Yoshihide, et al.. (2009). Getting Broad Overview of Road Update from Procurement Notices of Road Constructions. 1 indexed citations

20.

Sekimoto, Yoshihide, et al.. (2005). Prompt Development and Updating of Road GIS Data Integrated into the Public Works.

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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