Shangkun Li

34 total papers · 502 total citations
27 papers, 394 citations indexed

About

Shangkun Li is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Shangkun Li has authored 27 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 12 papers in Materials Chemistry and 10 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Shangkun Li's work include Magnetic properties of thin films (10 papers), Advanced Memory and Neural Computing (6 papers) and 2D Materials and Applications (4 papers). Shangkun Li is often cited by papers focused on Magnetic properties of thin films (10 papers), Advanced Memory and Neural Computing (6 papers) and 2D Materials and Applications (4 papers). Shangkun Li collaborates with scholars based in China, Switzerland and United States. Shangkun Li's co-authors include Yanpeng Xue, Junyu Lei, Ce Wang, Xiaofeng Lu, Tian Zheng, Andrew J. deMello, Philip D. Howes, Xiang Li, Chengcheng Zhang and Stavros Stavrakis and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Advanced Functional Materials.

In The Last Decade

Shangkun Li

24 papers receiving 384 citations

Author Peers

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

Author						Papers	Cites
Shangkun Li	149	133	107	105	69	27	394
Qi Han	244 1.6×	119 0.9×	168 1.6×	74 0.7×	23 0.3×	21	412
I. A. Ali	186 1.2×	63 0.5×	88 0.8×	67 0.6×	30 0.4×	23	351
Thao P. Nguyen	122 0.8×	79 0.6×	164 1.5×	60 0.6×	68 1.0×	30	387
Xin Hong	187 1.3×	138 1.0×	61 0.6×	91 0.9×	53 0.8×	19	406
Jianan Li	209 1.4×	57 0.4×	98 0.9×	58 0.6×	40 0.6×	24	415
Shan-Zhong Li	189 1.3×	68 0.5×	96 0.9×	46 0.4×	54 0.8×	28	421
Yuhui Lin	148 1.0×	54 0.4×	145 1.4×	55 0.5×	70 1.0×	23	422
N. Angeline Little Flower	228 1.5×	208 1.6×	96 0.9×	37 0.4×	21 0.3×	35	392
Lin Chen	187 1.3×	91 0.7×	73 0.7×	29 0.3×	40 0.6×	20	360
Jialiang Jiang	165 1.1×	142 1.1×	119 1.1×	168 1.6×	20 0.3×	28	361

Countries citing papers authored by Shangkun Li

Since Specialization

Citations

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

Fields of papers citing papers by Shangkun Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangkun Li

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