Beibei Shi

33 total papers · 513 total citations
25 papers, 402 citations indexed

About

Beibei Shi is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Beibei Shi has authored 25 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Materials Chemistry, 13 papers in Electrical and Electronic Engineering and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Beibei Shi's work include Perovskite Materials and Applications (12 papers), 2D Materials and Applications (6 papers) and Chalcogenide Semiconductor Thin Films (4 papers). Beibei Shi is often cited by papers focused on Perovskite Materials and Applications (12 papers), 2D Materials and Applications (6 papers) and Chalcogenide Semiconductor Thin Films (4 papers). Beibei Shi collaborates with scholars based in China, United States and Australia. Beibei Shi's co-authors include Yangqing Wu, Bingqiang Cao, Jia Dong, Zheyu Fang, Pengfei Qi, Jinbiao Jia, Feng Xu, Jihuai Wu, Liheng Zheng and Jingyu Li and has published in prestigious journals such as Applied Physics Letters, Carbon and ACS Applied Materials & Interfaces.

In The Last Decade

Beibei Shi

24 papers receiving 393 citations

Author Peers

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

Author						Papers	Cites
Beibei Shi	262	253	88	63	49	25	402
Efraín Ochoa-Martínez	224 0.9×	299 1.2×	116 1.3×	48 0.8×	51 1.0×	29	392
B. Gorenstein	212 0.8×	251 1.0×	84 1.0×	85 1.3×	46 0.9×	16	384
L. Grządziel	235 0.9×	294 1.2×	111 1.3×	35 0.6×	61 1.2×	25	416
Jaehyoung Ko	296 1.1×	259 1.0×	119 1.4×	76 1.2×	15 0.3×	25	393
Seong Ho Cho	193 0.7×	269 1.1×	77 0.9×	108 1.7×	27 0.6×	22	418
Supil Raina	188 0.7×	233 0.9×	75 0.9×	126 2.0×	30 0.6×	28	387
Xinhai Zhang	278 1.1×	231 0.9×	36 0.4×	114 1.8×	30 0.6×	15	422
A. Ávila-García	306 1.2×	289 1.1×	61 0.7×	46 0.7×	21 0.4×	29	396
Christian L. Weindl	173 0.7×	316 1.2×	152 1.7×	36 0.6×	21 0.4×	20	413
H. Shaban	305 1.2×	276 1.1×	32 0.4×	65 1.0×	102 2.1×	29	397

Countries citing papers authored by Beibei Shi

Since Specialization

Citations

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

Fields of papers citing papers by Beibei Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beibei Shi

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