Baokun Song

969 total citations
21 papers, 682 citations indexed

About

Baokun Song is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Baokun Song has authored 21 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Materials Chemistry, 10 papers in Electrical and Electronic Engineering and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Baokun Song's work include 2D Materials and Applications (12 papers), Graphene research and applications (9 papers) and Perovskite Materials and Applications (6 papers). Baokun Song is often cited by papers focused on 2D Materials and Applications (12 papers), Graphene research and applications (9 papers) and Perovskite Materials and Applications (6 papers). Baokun Song collaborates with scholars based in China, United States and Taiwan. Baokun Song's co-authors include Shiyuan Liu, Honggang Gu, Hao Jiang, Xiuguo Chen, Mingsheng Fang, Deep Jariwala, Chuanwei Zhang, Yen‐Teng Ho, Simin Zhu and Xiwen Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and Applied Physics Letters.

In The Last Decade

Baokun Song

21 papers receiving 667 citations

Peers

Baokun Song
Comparison fields: 5 of 44
  • Materials Chemistry 492
  • Electrical and Electronic Engineering 368
  • Biomedical Engineering 165
  • Atomic and Molecular Physics, and Optics 146
  • Electronic, Optical and Magnetic Materials 86
Replace Qingjun Song with:
Qingjun Song China
Maxim Rybin Russia
Guillaume Froehlicher France
Boqing Liu Australia
J. López-Vidrier Spain
Zhongliang Qiao China
Martin Oellers Germany
Dongjea Seo South Korea
Tengfei Yan China
Hiroya Ikeda Japan
Qingjun Song China View profile →
Citations per field, relative to Baokun Song
Baokun Song · 1×
Citations per year, relative to Baokun Song
Baokun Song · 1×

Countries citing papers authored by Baokun Song

Since Specialization
Citations

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

Fields of papers citing papers by Baokun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baokun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Baokun Song. A scholar is included among the top collaborators of Baokun 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 Baokun Song. Baokun Song 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
# Work Indexed citations
1 8
2 1
3 5
4 8
5 45
6 28
7 33
8 17
9 15
10 67
11 21
12 80
13 21
14 41
15 13
16 22
17 39
18 58
19 80
20 75

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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