Hui Song

1.3k total citations
63 papers, 1.1k citations indexed

About

Hui Song is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Hui Song has authored 63 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Materials Chemistry, 33 papers in Electrical and Electronic Engineering and 15 papers in Biomedical Engineering. Recurrent topics in Hui Song's work include Gas Sensing Nanomaterials and Sensors (14 papers), ZnO doping and properties (11 papers) and Graphene research and applications (9 papers). Hui Song is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (14 papers), ZnO doping and properties (11 papers) and Graphene research and applications (9 papers). Hui Song collaborates with scholars based in China, South Korea and Australia. Hui Song's co-authors include Gun Young Jung, Huisu Jeong, Yusin Pak, MA Xi-chen, Dazhi Wang, Shufen Zhang, Jinzong Yang, Kyubong Jo, Il Keun Kwon and Weihua Liu and has published in prestigious journals such as Advanced Materials, Journal of Clinical Oncology and Chemical Engineering Journal.

In The Last Decade

Hui Song

62 papers receiving 1.1k citations

Peers

Hui Song
Comparison fields: 5 of 81
  • Materials Chemistry 576
  • Electrical and Electronic Engineering 543
  • Biomedical Engineering 284
  • Renewable Energy, Sustainability and the Environment 220
  • Polymers and Plastics 159
Replace Yunling Zou with:
Yunling Zou China
Mingqing Yang China
Abdullah Aljaafari Saudi Arabia
Franscious Cummings South Africa
Jiayou Feng China
Kai Kamada Japan
Jung-Sik Kim South Korea
E.O.B. Ajayi Nigeria
Reza Abolhassani Denmark
Lê Văn Hiếu Vietnam
Yunling Zou China View profile →
Citations per field, relative to Hui Song
Hui Song · 1×
Citations per year, relative to Hui Song
Hui Song · 1×

Countries citing papers authored by Hui Song

Since Specialization
Citations

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

Fields of papers citing papers by Hui Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Song

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Song. A scholar is included among the top collaborators of Hui 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 Hui Song. Hui 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 0
2 3
3 4
4 5
5
Effect of serum LDH and CK levels on condition and prognosis of COVID-19 patients
2
6 23
7 6
8 1
9 18
10 1
11 4
12 82
13 119
14 5
15 38
16 82
17 21
18 63
19 14
20 3

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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