Ryosuke Shibasaki

10.3k total citations
463 papers, 7.2k citations indexed

About

Ryosuke Shibasaki is a scholar working on Transportation, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Ryosuke Shibasaki has authored 463 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Transportation, 99 papers in Computer Vision and Pattern Recognition and 76 papers in Environmental Engineering. Recurrent topics in Ryosuke Shibasaki's work include Human Mobility and Location-Based Analysis (105 papers), Remote Sensing and LiDAR Applications (67 papers) and Video Surveillance and Tracking Methods (51 papers). Ryosuke Shibasaki is often cited by papers focused on Human Mobility and Location-Based Analysis (105 papers), Remote Sensing and LiDAR Applications (67 papers) and Video Surveillance and Tracking Methods (51 papers). Ryosuke Shibasaki collaborates with scholars based in Japan, China and United States. Ryosuke Shibasaki's co-authors include Xuan Song, Huijing Zhao, Xiaowei Shao, Yoshihide Sekimoto, Zipei Fan, Haoran Zhang, Guoxin Tan, Quanshi Zhang, Jinshi Cui and Hiroshi Kanasugi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Ryosuke Shibasaki

425 papers receiving 6.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryosuke Shibasaki Japan 46 1.8k 1.6k 1.1k 1.1k 935 463 7.2k
Haifeng Li China 38 1.4k 0.8× 1.4k 0.9× 627 0.6× 2.0k 1.9× 431 0.5× 217 7.6k
Wenzhong Shi Hong Kong 55 766 0.4× 1.6k 0.9× 2.8k 2.6× 864 0.8× 2.4k 2.5× 535 12.5k
Qingquan Li China 68 4.6k 2.6× 3.4k 2.1× 2.1k 1.9× 2.2k 2.1× 2.3k 2.4× 640 18.9k
Bo Huang China 66 1.8k 1.0× 1.9k 1.2× 3.3k 3.0× 901 0.9× 5.0k 5.4× 433 15.1k
Alan T. Murray United States 62 3.0k 1.7× 288 0.2× 1.5k 1.4× 1.6k 1.5× 3.2k 3.4× 284 11.3k
Raja Sengupta United States 45 751 0.4× 927 0.6× 303 0.3× 373 0.4× 425 0.5× 251 9.3k
Alexander Zipf Germany 39 2.1k 1.2× 465 0.3× 655 0.6× 812 0.8× 1.4k 1.4× 217 6.6k
Chen Chen China 48 375 0.2× 1.1k 0.7× 384 0.4× 864 0.8× 389 0.4× 401 7.7k
Cheng Wang China 59 343 0.2× 3.7k 2.2× 3.9k 3.6× 626 0.6× 321 0.3× 514 11.1k
Mo Li China 55 677 0.4× 1000 0.6× 324 0.3× 527 0.5× 152 0.2× 343 10.8k

Countries citing papers authored by Ryosuke Shibasaki

Since Specialization
Citations

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

Fields of papers citing papers by Ryosuke Shibasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryosuke Shibasaki

This figure shows the co-authorship network connecting the top 25 collaborators of Ryosuke Shibasaki. A scholar is included among the top collaborators of Ryosuke Shibasaki 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 Ryosuke Shibasaki. Ryosuke Shibasaki 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.
Yuan, Wei, et al.. (2025). AISFuser: Encoding Maritime Graphical Representations With Temporal Attribute Modeling for Vessel Trajectory Prediction. IEEE Transactions on Knowledge and Data Engineering. 37(4). 1571–1584. 3 indexed citations
2.
Yang, Xiaojie, Jiawei Wang, Zipei Fan, et al.. (2025). CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events. 1773–1784. 2 indexed citations
3.
4.
Shang, Shuo, Renhe Jiang, Ryosuke Shibasaki, & Rui Yan. (2024). Foundation Models for Information Retrieval and Knowledge Processing. Data Intelligence. 6(4). 891–892.
5.
Wang, Zhaonan, Renhe Jiang, Hao Xue, et al.. (2024). Learning spatio-temporal dynamics on mobility networks for adaptation to open-world events. Artificial Intelligence. 335. 104120–104120. 5 indexed citations
6.
Fan, Zipei, et al.. (2024). Long-Term Vessel Trajectory Imputation with Physics-Guided Diffusion Probabilistic Model. 4398–4407. 2 indexed citations
7.
Fan, Zipei, et al.. (2024). Assessing the Spatial-Temporal Causal Impact of COVID-19-Related Policies on Epidemic Spread. ACM Transactions on Knowledge Discovery from Data. 19(1). 1–19.
8.
Jiang, Renhe, Xin‐Lei Lian, Zhaonan Wang, et al.. (2023). Forecasting Citywide Crowd Transition Process via Convolutional Recurrent Neural Networks. IEEE Transactions on Mobile Computing. 23(5). 5433–5445. 4 indexed citations
9.
Fan, Zipei, et al.. (2023). Multi-Task Weakly Supervised Learning for Origin–Destination Travel Time Estimation. IEEE Transactions on Knowledge and Data Engineering. 35(11). 11628–11641. 4 indexed citations
10.
Chen, Jinyu, Xiaodan Shi, Haoran Zhang, et al.. (2023). Mutual Adaptation: Learning From Prototype for Time-Series Prediction. IEEE Transactions on Artificial Intelligence. 5(3). 1247–1262.
11.
Tao, Yudong, Yinghao Liu, Renhe Jiang, et al.. (2022). A Survey on Data-driven COVID-19 and Future Pandemic Management. ACM Computing Surveys. 55(7). 1–36. 10 indexed citations
12.
Nakanishi, Miharu, et al.. (2021). On-site Dining in Tokyo During the COVID-19 Pandemic: Time Series Analysis Using Mobile Phone Location Data. JMIR mhealth and uhealth. 9(5). e27342–e27342. 18 indexed citations
13.
Wu, Guangming, et al.. (2018). High Precision Building Detection from Aerial Imagery Using a U-Net Like Convolutional Architecture. SHILAP Revista de lepidopterología. 6 indexed citations
14.
Ogawa, Yoshiki, Yuki Akiyama, & Ryosuke Shibasaki. (2017). Extraction of significant scenarios for earthquake damage estimation using sparse modeling.. ISCRAM. 1 indexed citations
15.
Ito, Masaki, et al.. (2014). BS-6-35 Event Detection in Individuals Using Mobile Phone Traces(BS-6.Network and service Design, Control and Management). 2014(2). 1 indexed citations
16.
Akiyama, Yuki, et al.. (2011). Determining Spatial Extent of Shopping Areas using Store Density. Journal of the City Planning Institute of Japan. 46(3). 409–414. 3 indexed citations
17.
18.
Takeuchi, Hiroto, et al.. (2005). A Study on Obstacle Detection with Automatic Pedestrian Tracking at Railway Level Crossings by using Laser Range Scanners. IEEJ Transactions on Industry Applications. 125(4). 321–328. 4 indexed citations
19.
Huffman, Ted, et al.. (2003). Basis for consistent representation of land areas, Chapter 2. Lund University Publications (Lund University). 1 indexed citations
20.
Shibasaki, Ryosuke, et al.. (2000). GEO-REFERENCING OF MULTI-SENSOR RANGE DATA FOR VEHICLE-BORNE LASER MAPPING SYSTEM ( VLMS ). 16. 567–573. 7 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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2026