Bai Song

464 total citations
9 papers, 433 citations indexed

About

Bai Song is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Automotive Engineering. According to data from OpenAlex, Bai Song has authored 9 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 4 papers in Electronic, Optical and Magnetic Materials and 2 papers in Automotive Engineering. Recurrent topics in Bai Song's work include Advancements in Battery Materials (7 papers), Advanced Battery Materials and Technologies (6 papers) and Supercapacitor Materials and Fabrication (4 papers). Bai Song is often cited by papers focused on Advancements in Battery Materials (7 papers), Advanced Battery Materials and Technologies (6 papers) and Supercapacitor Materials and Fabrication (4 papers). Bai Song collaborates with scholars based in China and South Korea. Bai Song's co-authors include Chunyu Du, Geping Yin, Pengjian Zuo, Xinqun Cheng, Yunzhi Gao, Hui Liu, Yulin Ma, Xiaoshu He, Meng Chen and Chen Cheng and has published in prestigious journals such as Journal of Power Sources, Journal of Materials Chemistry A and Electrochimica Acta.

In The Last Decade

Bai Song

8 papers receiving 425 citations

Peers

Bai Song
Comparison fields: 5 of 25
  • Electrical and Electronic Engineering 387
  • Electronic, Optical and Magnetic Materials 162
  • Automotive Engineering 155
  • Mechanical Engineering 71
  • Materials Chemistry 61
Replace Taina Rauhala with:
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Hongyu Cheng China
Yongxin An China
Florian Baakes Germany
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Satyanarayana Maddukuri Israel
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Tapesh Joshi United States
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Taina Rauhala Finland View profile →
Citations per field, relative to Bai Song
Bai Song · 1×
Citations per year, relative to Bai Song
Bai Song · 1×

Countries citing papers authored by Bai Song

Since Specialization
Citations

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

Fields of papers citing papers by Bai Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bai Song

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 0
2 8
3 58
4 34
5 62
6 107
7 79
8 75
9 10

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