Shuichi Ashina

990 total citations
26 papers, 603 citations indexed

About

Shuichi Ashina is a scholar working on Renewable Energy, Sustainability and the Environment, Environmental Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Shuichi Ashina has authored 26 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Renewable Energy, Sustainability and the Environment, 11 papers in Environmental Engineering and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Shuichi Ashina's work include Environmental Impact and Sustainability (10 papers), Climate Change Policy and Economics (9 papers) and Energy, Environment, and Transportation Policies (6 papers). Shuichi Ashina is often cited by papers focused on Environmental Impact and Sustainability (10 papers), Climate Change Policy and Economics (9 papers) and Energy, Environment, and Transportation Policies (6 papers). Shuichi Ashina collaborates with scholars based in Japan, Netherlands and Austria. Shuichi Ashina's co-authors include Toshihiko Nakata, Hiroto Shiraki, Junichi Fujino, Detlef P. van Vuuren, Toshihiko Masui, Tomoki Ehara, K. Honjo, Valentina Bosetti, Hal Turton and Alban Kitous and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Shuichi Ashina

25 papers receiving 573 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuichi Ashina Japan 14 235 220 182 161 78 26 603
Kenichi Wada Japan 12 315 1.3× 265 1.2× 164 0.9× 224 1.4× 59 0.8× 23 697
Nikolaos Tasios Greece 7 161 0.7× 216 1.0× 271 1.5× 129 0.8× 62 0.8× 11 552
Hiroto Shiraki Japan 14 211 0.9× 188 0.9× 171 0.9× 198 1.2× 40 0.5× 27 543
Patrícia Fortes Portugal 15 202 0.9× 274 1.2× 309 1.7× 194 1.2× 78 1.0× 38 795
Jijiang He China 8 185 0.8× 197 0.9× 243 1.3× 200 1.2× 59 0.8× 11 672
Konstantinos Koasidis Greece 17 219 0.9× 171 0.8× 148 0.8× 132 0.8× 33 0.4× 40 634
Eoin Ó Broin France 10 186 0.8× 285 1.3× 162 0.9× 193 1.2× 127 1.6× 17 573
Nihan Karalı United States 12 245 1.0× 249 1.1× 151 0.8× 196 1.2× 117 1.5× 19 729
Tamaryn Napp United Kingdom 12 234 1.0× 222 1.0× 156 0.9× 268 1.7× 64 0.8× 14 676
Swapnil Shekhar United States 7 217 0.9× 171 0.8× 103 0.6× 166 1.0× 27 0.3× 8 484

Countries citing papers authored by Shuichi Ashina

Since Specialization
Citations

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

Fields of papers citing papers by Shuichi Ashina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuichi Ashina

This figure shows the co-authorship network connecting the top 25 collaborators of Shuichi Ashina. A scholar is included among the top collaborators of Shuichi Ashina 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 Shuichi Ashina. Shuichi Ashina 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.
Herran, Diego Silva & Shuichi Ashina. (2023). Characterization of the proximity to urban areas of the global energy potential of solar and wind energies. Environmental Research Communications. 5(7). 71001–71001. 6 indexed citations
2.
Ashina, Shuichi, et al.. (2022). A novel method for acquiring rigorous temperature response functions for electricity demand at a regional scale. The Science of The Total Environment. 819. 152893–152893. 10 indexed citations
3.
4.
Fujii, Minoru, Tsuyoshi Fujita, Shuichi Ashina, et al.. (2022). A deep reinforced learning spatiotemporal energy demand estimation system using deep learning and electricity demand monitoring data. Applied Energy. 324. 119652–119652. 8 indexed citations
5.
Ashina, Shuichi, et al.. (2021). Willingness-to-pay promoted renewable energy diffusion: The case of Japan's electricity market. Journal of Cleaner Production. 330. 129828–129828. 8 indexed citations
6.
7.
Ashina, Shuichi, et al.. (2020). Promoting renewable energy through willingness to pay for transition to a low carbon society in Japan. Renewable Energy. 162. 818–830. 34 indexed citations
8.
Oka, Kazutaka, et al.. (2020). Climate change impacts on potential solar energy production: A study case in Fukushima, Japan. Renewable Energy. 153. 249–260. 29 indexed citations
9.
10.
Ashina, Shuichi, et al.. (2019). SENSITIVITY OF HOURLY ELECTRICITY POWER CONSUMPTION TO TEMPERATURE AND HUMIDITY IN JAPAN. Journal of Japan Society of Civil Engineers Ser G (Environmental Research). 75(6). II_17–II_27. 2 indexed citations
11.
Honjo, K., Hiroto Shiraki, & Shuichi Ashina. (2018). Dynamic linear modeling of monthly electricity demand in Japan: Time variation of electricity conservation effect. PLoS ONE. 13(4). e0196331–e0196331. 14 indexed citations
12.
Ashina, Shuichi, et al.. (2018). Employing electricity-consumption monitoring systems and integrative time-series analysis models: A case study in Bogor, Indonesia. Frontiers in Energy. 12(3). 426–439. 11 indexed citations
13.
Fujita, Tsuyoshi, Minoru Fujii, Shuichi Ashina, et al.. (2018). Expert networks as science-policy interlocutors in the implementation of a monitoring reporting and verification (MRV) system. Frontiers in Energy. 12(3). 376–388. 2 indexed citations
14.
Ashina, Shuichi, et al.. (2017). INSTALLING ENERGY MONITORING SYSTEM FOR CONSUMER SECTOR IN INDONESIA AND ENERGY USE PREDICTION BY MULTIPLE-TIME SERIES MODELLING. Journal of Japan Society of Civil Engineers Ser G (Environmental Research). 73(6). II_35–II_43. 1 indexed citations
15.
Martínez, Sara Herreras, Alexandre C. Köberle, Pedro Rochedo, et al.. (2015). Possible energy futures for Brazil and Latin America in conservative and stringent mitigation pathways up to 2050. Technological Forecasting and Social Change. 98. 186–210. 31 indexed citations
16.
Kriegler, Elmar, Volker Krey, Valeria Jana Schwanitz, et al.. (2014). Diagnostic indicators for integrated assessment models of climate policy. Technological Forecasting and Social Change. 90. 45–61. 96 indexed citations
17.
Sluisveld, Mariësse A.E. van, David Gernaat, Shuichi Ashina, et al.. (2013). A MULTI-MODEL ANALYSIS OF POST-2020 MITIGATION EFFORTS OF FIVE MAJOR ECONOMIES. Climate Change Economics. 4(4). 1340012–1340012. 17 indexed citations
18.
Bauer, Nico, Valentina Bosetti, Meriem Hamdi-Chérif, et al.. (2013). CO2 emission mitigation and fossil fuel markets: Dynamic and international aspects of climate policies. Technological Forecasting and Social Change. 90. 243–256. 79 indexed citations
19.
Ashina, Shuichi & Junichi Fujino. (2013). Methodology for Designing Quantitative Roadmaps towards Low-Carbon Societies using a Backcasting Approach. 2 indexed citations
20.
Ashina, Shuichi & Toshihiko Nakata. (2007). Quantitative analysis of energy-efficiency strategy on CO2 emissions in the residential sector in Japan – Case study of Iwate prefecture. Applied Energy. 85(4). 204–217. 14 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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