Yun‐Wei Song

33 total papers · 2.5k total citations
29 papers, 2.1k citations indexed

About

Yun‐Wei Song is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Yun‐Wei Song has authored 29 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 9 papers in Automotive Engineering and 5 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Yun‐Wei Song's work include Advanced Battery Materials and Technologies (24 papers), Advancements in Battery Materials (21 papers) and Advanced battery technologies research (13 papers). Yun‐Wei Song is often cited by papers focused on Advanced Battery Materials and Technologies (24 papers), Advancements in Battery Materials (21 papers) and Advanced battery technologies research (13 papers). Yun‐Wei Song collaborates with scholars based in China, United States and South Korea. Yun‐Wei Song's co-authors include Bo‐Quan Li, Jia‐Qi Huang, Qiang Zhang, Meng Zhao, Zhao Chang-xin, Hong‐Jie Peng, Jin Xie, Xue‐Qiang Zhang, Xi‐Yao Li and Jia‐Ning Liu and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Advanced Materials.

In The Last Decade

Yun‐Wei Song

29 papers receiving 2.1k citations

Hit Papers

Implanting Atomic Cobalt ... 2019 2026 2021 2023 2019 2021 2023 2024 2024 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yun‐Wei Song 1.9k 554 462 272 137 29 2.1k
Yongmin Wu 1.5k 0.8× 879 1.6× 522 1.1× 269 1.0× 190 1.4× 35 1.9k
Yu Jiao 1.8k 0.9× 696 1.3× 500 1.1× 378 1.4× 248 1.8× 36 2.2k
Shuai Xie 1.8k 0.9× 590 1.1× 434 0.9× 213 0.8× 220 1.6× 37 2.2k
Zhenzhen Du 2.1k 1.1× 631 1.1× 428 0.9× 377 1.4× 340 2.5× 19 2.3k
Won‐Gwang Lim 1.7k 0.9× 498 0.9× 378 0.8× 260 1.0× 324 2.4× 44 2.0k
Maoxu Wang 2.1k 1.1× 619 1.1× 472 1.0× 157 0.6× 258 1.9× 30 2.3k
Xi‐Yao Li 2.5k 1.3× 675 1.2× 675 1.5× 384 1.4× 178 1.3× 52 2.8k
Qi Li 1.5k 0.8× 303 0.5× 636 1.4× 311 1.1× 210 1.5× 49 1.7k
Xiangju Xu 1.5k 0.8× 723 1.3× 351 0.8× 311 1.1× 380 2.8× 29 1.9k
Matthew Zheng 2.1k 1.1× 582 1.1× 824 1.8× 235 0.9× 221 1.6× 36 2.3k

Countries citing papers authored by Yun‐Wei Song

Since Specialization
Citations

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

Fields of papers citing papers by Yun‐Wei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun‐Wei Song. 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 Yun‐Wei Song. The network helps show where Yun‐Wei Song may publish in the future.

Co-authorship network of co-authors of Yun‐Wei Song

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

All Works

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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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