Hao Song

63 total papers · 541 total citations
32 papers, 371 citations indexed

About

Hao Song is a scholar working on Neurology, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Hao Song has authored 32 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 6 papers in Renewable Energy, Sustainability and the Environment and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Hao Song's work include Neurological Disease Mechanisms and Treatments (8 papers), Electrocatalysts for Energy Conversion (6 papers) and Advanced battery technologies research (5 papers). Hao Song is often cited by papers focused on Neurological Disease Mechanisms and Treatments (8 papers), Electrocatalysts for Energy Conversion (6 papers) and Advanced battery technologies research (5 papers). Hao Song collaborates with scholars based in China and United States. Hao Song's co-authors include Junjian Zhang, Linling Xu, Diqiu Liu, Shenglan Zhao, Feng Ge, Chaoyin Chen, Chujie Qu, Jun Shen, Yaqing Li and Li Tian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Journal of Power Sources.

In The Last Decade

Hao Song

29 papers receiving 368 citations

Author Peers

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

Author Last Decade Papers Cites
Hao Song 87 75 51 32 32 32 371
Wenqin Yang 39 0.4× 166 2.2× 43 0.8× 21 0.7× 23 0.7× 30 412
Jian Fu 60 0.7× 143 1.9× 53 1.0× 18 0.6× 11 0.3× 21 374
Wenlong Jiang 31 0.4× 103 1.4× 26 0.5× 18 0.6× 13 0.4× 33 414
Junxia Xie 45 0.5× 153 2.0× 61 1.2× 67 2.1× 11 0.3× 16 420
Li Li 33 0.4× 225 3.0× 40 0.8× 24 0.8× 14 0.4× 27 437
Sepideh Safari 85 1.0× 99 1.3× 50 1.0× 10 0.3× 59 1.8× 30 378
Yuanyuan Li 61 0.7× 119 1.6× 40 0.8× 21 0.7× 28 0.9× 20 341
Hyeon Jin Lee 56 0.6× 137 1.8× 59 1.2× 8 0.3× 7 0.2× 27 369
Tsuneyuki Suzuki 36 0.4× 105 1.4× 103 2.0× 13 0.4× 14 0.4× 34 356
Fang Li 74 0.9× 115 1.5× 51 1.0× 14 0.4× 24 0.8× 17 369

Countries citing papers authored by Hao Song

Since Specialization
Citations

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

Fields of papers citing papers by Hao Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Song

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Song. A scholar is included among the top collaborators of Hao 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 Hao Song. Hao 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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