Ling Shi

53 total papers · 659 total citations
40 papers, 563 citations indexed

About

Ling Shi is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Materials Chemistry. According to data from OpenAlex, Ling Shi has authored 40 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 13 papers in Polymers and Plastics and 13 papers in Materials Chemistry. Recurrent topics in Ling Shi's work include Electrochemical sensors and biosensors (21 papers), Conducting polymers and applications (13 papers) and Electrochemical Analysis and Applications (11 papers). Ling Shi is often cited by papers focused on Electrochemical sensors and biosensors (21 papers), Conducting polymers and applications (13 papers) and Electrochemical Analysis and Applications (11 papers). Ling Shi collaborates with scholars based in China. Ling Shi's co-authors include Ru‐Ping Liang, Jian‐Ding Qiu, Xianlan Chen, Guangming Yang, Xing‐Hua Xia, Xiaochen Liu, Zefeng Wang, Guowei Zhang, Wei Liu and Faqiong Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Materials Chemistry A and Chemistry - A European Journal.

In The Last Decade

Ling Shi

35 papers receiving 512 citations

Author Peers

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

Author						Papers	Cites
Ling Shi	352	169	159	150	140	40	563
Xianlan Chen	349 1.0×	218 1.3×	174 1.1×	138 0.9×	112 0.8×	34	527
Kaixin Zhang	349 1.0×	148 0.9×	154 1.0×	214 1.4×	108 0.8×	39	663
Xiujun Cui	276 0.8×	114 0.7×	194 1.2×	183 1.2×	140 1.0×	24	532
Shengbiao Zheng	417 1.2×	238 1.4×	149 0.9×	164 1.1×	91 0.7×	34	574
Ruzniza Mohd Zawawi	249 0.7×	147 0.9×	159 1.0×	112 0.7×	119 0.8×	36	591
Ragu Sasikumar	327 0.9×	115 0.7×	229 1.4×	161 1.1×	81 0.6×	39	649
S. Sandeep	331 0.9×	174 1.0×	195 1.2×	95 0.6×	139 1.0×	44	662
Abderrazak Maaref	334 0.9×	170 1.0×	155 1.0×	121 0.8×	194 1.4×	28	580
Sunirmal Sheet	264 0.8×	155 0.9×	159 1.0×	117 0.8×	173 1.2×	26	645
Tiago A. Matias	323 0.9×	177 1.0×	242 1.5×	91 0.6×	106 0.8×	39	678

Countries citing papers authored by Ling Shi

Since Specialization

Citations

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

Fields of papers citing papers by Ling Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Shi

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