Tsuna Sasaki
- Transportation top 0.5%
- Building and Construction top 2%
- Control and Systems Engineering top 5%
- Automotive Engineering top 10%
- Signal Processing top 10%
- Co-authors
- Hai YangYasunori IidaYasuo AsakuraTakamasa AkiyamaY AsakuraToshiharu HasegawaYang HaiKyoko Nakamura
- Topics
- Transportation Planning and Optimization (20 papers)Traffic control and management (13 papers)Traffic Prediction and Management Techniques (6 papers)
- Partner nations
- JapanUnited StatesHong Kong
In The Last Decade
Tsuna Sasaki
34 papers receiving 666 citations
Peers
Comparison fields: 5 of 53
- Transportation 614
- Building and Construction 398
- Control and Systems Engineering 322
- Automotive Engineering 113
- Signal Processing 79
Countries citing papers authored by Tsuna Sasaki
This map shows the geographic impact of Tsuna Sasaki'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 Tsuna Sasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsuna Sasaki more than expected).
Fields of papers citing papers by Tsuna Sasaki
This network shows the impact of papers produced by Tsuna Sasaki. 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 Tsuna Sasaki. The network helps show where Tsuna Sasaki may publish in the future.
Co-authorship network of co-authors of Tsuna Sasaki
This figure shows the co-authorship network connecting the top 25 collaborators of Tsuna Sasaki. A scholar is included among the top collaborators of Tsuna Sasaki 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 Tsuna Sasaki. Tsuna Sasaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 0 | |
| 3 | 66 | |
| 4 | A neural network approach to the identification of real time origin-destination flows from traffic counts | 25 |
| 5 | 1 | |
| 6 | 142 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | FORMULATION AND FEASIBILITY TEST OF OPTIMAL ROAD NETWORK DESIGN MODEL WITH ENDOGENOUSLY DETERMINED TRAVEL DEMAND | 16 |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | AN APPROXIMATIVE ANALYSIS OF THE HYDRODYNAMIC THEORY ON TRAFFIC FLOW AND A FORMULATION OF A TRAFFIC SIMULATION MODEL | 1 |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | TRAFFIC ASSIGNMENT BY ANALOGY TO ELECTRIC CIRCUIT | 5 |
| 18 | 4 | |
| 19 | 7 | |
| 20 | 56 |
About Tsuna Sasaki
Tsuna Sasaki is a scholar working on Transportation, Building and Construction and Control and Systems Engineering, having authored 37 papers that have together received 730 indexed citations. Recurring topics across this work include Transportation Planning and Optimization (20 papers), Traffic control and management (13 papers) and Traffic Prediction and Management Techniques (6 papers). The work is most often cited by research in Transportation (614 citations), Building and Construction (398 citations) and Control and Systems Engineering (322 citations). Tsuna Sasaki has collaborated with scholars based in Japan, United States and Hong Kong. Frequent co-authors include Hai Yang, Yasunori Iida, Yasuo Asakura, Takamasa Akiyama, Y Asakura, Toshiharu Hasegawa, Yang Hai, Kyoko Nakamura, David Buckley and H. Matsui. Their work appears in journals such as Operations Research, Fuzzy Sets and Systems and Transportation Research Part B Methodological.
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.