Han Song

43 total papers · 861 total citations
28 papers, 769 citations indexed

About

Han Song is a scholar working on Electrical and Electronic Engineering, Health, Toxicology and Mutagenesis and Materials Chemistry. According to data from OpenAlex, Han Song has authored 28 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 7 papers in Health, Toxicology and Mutagenesis and 7 papers in Materials Chemistry. Recurrent topics in Han Song's work include Toxic Organic Pollutants Impact (6 papers), Semiconductor materials and devices (4 papers) and Electrochemical Analysis and Applications (4 papers). Han Song is often cited by papers focused on Toxic Organic Pollutants Impact (6 papers), Semiconductor materials and devices (4 papers) and Electrochemical Analysis and Applications (4 papers). Han Song collaborates with scholars based in China, United States and South Korea. Han Song's co-authors include Yingchun Li, Xiangying Zeng, Zhiqiang Yu, Bang‐Ce Ye, Jiamo Fu, Shuxia Cao, Guoying Sheng, Huiru Li, Lu Zhang and Wen Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of The Electrochemical Society.

In The Last Decade

Han Song

27 papers receiving 756 citations

Author Peers

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

Author						Papers	Cites
Han Song	326	262	181	175	133	28	769
J. Carbajo	113 0.3×	195 0.7×	193 1.1×	201 1.1×	64 0.5×	42	772
Diariatou Gningue-Sall	123 0.4×	225 0.9×	132 0.7×	182 1.0×	60 0.5×	25	770
Shilin Yu	171 0.5×	163 0.6×	187 1.0×	84 0.5×	48 0.4×	26	886
Anna Oubiña	140 0.4×	159 0.6×	124 0.7×	133 0.8×	145 1.1×	16	619
Luis Ballesteros	272 0.8×	111 0.4×	100 0.6×	66 0.4×	119 0.9×	40	883
Carl A. Groom	197 0.6×	136 0.5×	232 1.3×	93 0.5×	98 0.7×	25	908
Carolina Santamaría	204 0.6×	138 0.5×	50 0.3×	97 0.6×	57 0.4×	22	717
Catherine Elléouet	99 0.3×	188 0.7×	81 0.4×	247 1.4×	95 0.7×	44	833
L. Doretti	103 0.3×	237 0.9×	42 0.2×	119 0.7×	61 0.5×	58	750
Rodrigo Segura	58 0.2×	266 1.0×	107 0.6×	306 1.7×	81 0.6×	43	686

Countries citing papers authored by Han Song

Since Specialization

Citations

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

Fields of papers citing papers by Han Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Song

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