Jing Song

34 total papers · 610 total citations
23 papers, 466 citations indexed

About

Jing Song is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Jing Song has authored 23 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 7 papers in Electrical and Electronic Engineering and 5 papers in Automotive Engineering. Recurrent topics in Jing Song's work include Innovative Microfluidic and Catalytic Techniques Innovation (10 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers) and Catalytic Processes in Materials Science (3 papers). Jing Song is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (10 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers) and Catalytic Processes in Materials Science (3 papers). Jing Song collaborates with scholars based in China, United States and Uzbekistan. Jing Song's co-authors include Xing Ma, Jinhong Guo, Xiwei Huang, Dandan Xu, Jin Chen, Ji‐Xuan Liu, Jian Deng, Guangsheng Luo, Chencan Du and Liang Kong and has published in prestigious journals such as Scientific Reports, Chemical Engineering Journal and Physical Chemistry Chemical Physics.

In The Last Decade

Jing Song

19 papers receiving 459 citations

Author Peers

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

Author						Papers	Cites
Jing Song	317	137	77	72	60	23	466
Alexander Lambert	180 0.6×	183 1.3×	69 0.9×	141 2.0×	40 0.7×	26	452
Fangyuan Shi	36 0.1×	75 0.5×	65 0.8×	187 2.6×	132 2.2×	39	496
Liu Ge	47 0.1×	156 1.1×	83 1.1×	43 0.6×	10 0.2×	38	408
Ming Li	122 0.4×	156 1.1×	100 1.3×	243 3.4×	9 0.1×	34	440
Michael S. Wiederoder	301 0.9×	109 0.8×	34 0.4×	86 1.2×	30 0.5×	20	414
Jason Liu	98 0.3×	80 0.6×	116 1.5×	156 2.2×	98 1.6×	27	541
Paola Fanzio	340 1.1×	59 0.4×	113 1.5×	136 1.9×	29 0.5×	23	484
Daipayan Sarkar	87 0.3×	146 1.1×	83 1.1×	45 0.6×	23 0.4×	36	407
Sang-Young Yoon	88 0.3×	134 1.0×	72 0.9×	114 1.6×	42 0.7×	42	448
T. C. Yih	200 0.6×	99 0.7×	73 0.9×	47 0.7×	5 0.1×	14	529

Countries citing papers authored by Jing Song

Since Specialization

Citations

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

Fields of papers citing papers by Jing Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Song

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