Ying Song

69 total papers · 1.1k total citations
60 papers, 909 citations indexed

About

Ying Song is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Ying Song has authored 60 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electronic, Optical and Magnetic Materials, 21 papers in Materials Chemistry and 19 papers in Polymers and Plastics. Recurrent topics in Ying Song's work include Conducting polymers and applications (14 papers), Supercapacitor Materials and Fabrication (8 papers) and Electrospun Nanofibers in Biomedical Applications (7 papers). Ying Song is often cited by papers focused on Conducting polymers and applications (14 papers), Supercapacitor Materials and Fabrication (8 papers) and Electrospun Nanofibers in Biomedical Applications (7 papers). Ying Song collaborates with scholars based in China, United States and Brazil. Ying Song's co-authors include Xiaoyang Xu, Xue‐Qing Zhang, Thomas J. Meade, Keith W. MacRenaris, Chad A. Mirkin, Junying Xue, Yao Li, Jiupeng Zhao, Fanbao Meng and Xiaolei Song and has published in prestigious journals such as Angewandte Chemie International Edition, Langmuir and Chemical Engineering Journal.

In The Last Decade

Ying Song

56 papers receiving 890 citations

Author Peers

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

Author						Papers	Cites
Ying Song	332	316	247	224	190	60	909
Pei Gong	568 1.7×	221 0.7×	86 0.3×	334 1.5×	161 0.8×	54	987
Bogusław Budner	382 1.2×	154 0.5×	118 0.5×	256 1.1×	384 2.0×	60	1.0k
Michal Urbánek	367 1.1×	276 0.9×	127 0.5×	178 0.8×	168 0.9×	56	844
Anastasios C. Manikas	410 1.2×	303 1.0×	89 0.4×	178 0.8×	251 1.3×	42	899
Ganesh K. Kannarpady	337 1.0×	81 0.3×	89 0.4×	238 1.1×	277 1.5×	52	966
Jun Sun	272 0.8×	186 0.6×	153 0.6×	182 0.8×	263 1.4×	49	777
Junjie Zhou	344 1.0×	290 0.9×	97 0.4×	436 1.9×	192 1.0×	93	1.0k
Yishan Wang	506 1.5×	159 0.5×	213 0.9×	403 1.8×	151 0.8×	43	935
Qingfu Ban	259 0.8×	385 1.2×	199 0.8×	135 0.6×	242 1.3×	31	872
Xiaofei Wang	544 1.6×	115 0.4×	170 0.7×	199 0.9×	303 1.6×	56	998

Countries citing papers authored by Ying Song

Since Specialization

Citations

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

Fields of papers citing papers by Ying Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Song

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