Ruifeng Shi

1.1k total citations
61 papers, 805 citations indexed

About

Ruifeng Shi is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Ruifeng Shi has authored 61 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 24 papers in Automotive Engineering and 13 papers in Control and Systems Engineering. Recurrent topics in Ruifeng Shi's work include Electric Vehicles and Infrastructure (29 papers), Advanced Battery Technologies Research (14 papers) and Transportation and Mobility Innovations (10 papers). Ruifeng Shi is often cited by papers focused on Electric Vehicles and Infrastructure (29 papers), Advanced Battery Technologies Research (14 papers) and Transportation and Mobility Innovations (10 papers). Ruifeng Shi collaborates with scholars based in China, United States and South Korea. Ruifeng Shi's co-authors include Kwang Y. Lee, Shaopeng Li, Penghui Zhang, Xiangjie Liu, Xiaobing Kong, Zhenyu Zhou, Zhiheng Liu, Mianxiong Dong, Takuro Sato and Kaoru Ota and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Energy Materials and The Journal of Physical Chemistry C.

In The Last Decade

Ruifeng Shi

52 papers receiving 770 citations

Peers

Ruifeng Shi
Hamidreza Jahangir Iran
Yu Fujimoto Japan
Zhong Chen China
Donghan Feng China
Chin‐Woo Tan United States
Mao Tan China
Abdulaziz Almutairi Saudi Arabia
Junjie Qin United States
Noman Shabbir Estonia
Sachin Kumar India
Hamidreza Jahangir Iran
Ruifeng Shi
Citations per year, relative to Ruifeng Shi Ruifeng Shi (= 1×) peers Hamidreza Jahangir

Countries citing papers authored by Ruifeng Shi

Since Specialization
Citations

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

Fields of papers citing papers by Ruifeng Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruifeng Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Ruifeng Shi. A scholar is included among the top collaborators of Ruifeng Shi 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 Ruifeng Shi. Ruifeng Shi 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
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Shi, Ruifeng, et al.. (2024). A planning method for energy storage capacity of highway self-consistent multi-microgrid system considering carbon trading. Journal of Energy Storage. 100. 113616–113616. 2 indexed citations
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Jin, Ning, et al.. (2024). Research on Machine Learning-Based Method for Predicting Industrial Park Electric Vehicle Charging Load. Sustainability. 16(17). 7258–7258. 2 indexed citations
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Tu, Ganfeng, et al.. (2024). Iron capture mechanism for harmless recovering platinum group metals from spent automobile catalyst. Environmental Technology. 46(10). 1666–1678. 1 indexed citations
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Chen, Degang, et al.. (2024). Matrix factorization algorithm for multi-label learning with missing labels based on fuzzy rough set. Fuzzy Sets and Systems. 498. 109143–109143. 3 indexed citations
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Liu, Xiaohan, et al.. (2023). A solar-powered bus charging infrastructure location problem under charging service degradation. Transportation Research Part D Transport and Environment. 119. 103770–103770. 33 indexed citations
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Ma, Xiaolei, et al.. (2023). Optimizing Electric Taxi Battery Swapping Stations Featuring Modular Battery Swapping: A Data-Driven Approach. Applied Sciences. 13(3). 1984–1984. 6 indexed citations
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Shi, Ruifeng, et al.. (2023). Research on Highway Self-Consistent Energy System Planning with Uncertain Wind and Photovoltaic Power Output. Sustainability. 15(4). 3166–3166. 9 indexed citations
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Shi, Ruifeng, et al.. (2023). Annotated Survey on the Research Progress within Vehicle-to-Grid Techniques Based on CiteSpace Statistical Result. World Electric Vehicle Journal. 14(11). 303–303. 5 indexed citations
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Qi, Yang, et al.. (2023). MSCR-HRNetV2: High-Resolution Remote Sensing Image Segmentation for Railway Scenes. 36. 5809–5814. 1 indexed citations
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Liu, Xiaohan, et al.. (2022). Optimal electric bus scheduling by considering photovoltaic charging infrastructure. Proceedings of the Institution of Civil Engineers - Engineering Sustainability. 176(5). 260–269.
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Shi, Ruifeng, et al.. (2020). An Economic Penalty Scheme for Optimal Parking Lot Utilization with EV Charging Requirements. Energies. 13(22). 6155–6155. 6 indexed citations
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Shi, Ruifeng & Shaopeng Li. (2019). Review on Studies of V2G Problem in Electric Vehicles. 31(6). 28–37. 1 indexed citations
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Shi, Ruifeng, et al.. (2019). An Electric Taxi Charging Station Planning Scheme Based on an Improved Destination Choice Method. Energies. 12(19). 3781–3781. 7 indexed citations
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Shi, Ruifeng. (2011). Artificial fish swarm algorithm based on simplex method. Journal of Computer Applications.

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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