Biying Tan

16 total papers · 790 total citations
15 papers, 686 citations indexed

About

Biying Tan is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Biying Tan has authored 15 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 7 papers in Electrical and Electronic Engineering and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Biying Tan's work include 2D Materials and Applications (8 papers), Advanced Memory and Neural Computing (5 papers) and Graphene research and applications (4 papers). Biying Tan is often cited by papers focused on 2D Materials and Applications (8 papers), Advanced Memory and Neural Computing (5 papers) and Graphene research and applications (4 papers). Biying Tan collaborates with scholars based in China, United Kingdom and Singapore. Biying Tan's co-authors include PingAn Hu, Yunxia Hu, Xin Zhang, Feng Gao, Jia Zhang, Huiming Shang, Mingjin Dai, Shichao Zhang, Shichao Zhang and Lifeng Wang and has published in prestigious journals such as Advanced Materials, Chemical Engineering Journal and ACS Applied Materials & Interfaces.

In The Last Decade

Biying Tan

14 papers receiving 679 citations

Author Peers

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

Author						Papers	Cites
Biying Tan	448	375	129	101	81	15	686
Gyeongtak Han	401 0.9×	453 1.2×	67 0.5×	75 0.7×	88 1.1×	16	700
Leyi Loh	441 1.0×	447 1.2×	59 0.5×	83 0.8×	59 0.7×	21	674
Doeon Lee	475 1.1×	485 1.3×	130 1.0×	51 0.5×	56 0.7×	22	790
Paul Giraud	460 1.0×	489 1.3×	156 1.2×	58 0.6×	45 0.6×	14	712
Arindam Bala	371 0.8×	438 1.2×	138 1.1×	33 0.3×	81 1.0×	24	613
Geonyeop Lee	550 1.2×	497 1.3×	137 1.1×	103 1.0×	56 0.7×	17	758
Jun‐Hwe Cha	286 0.6×	532 1.4×	224 1.7×	81 0.8×	66 0.8×	28	720
Byunghoon Ryu	334 0.7×	365 1.0×	170 1.3×	35 0.3×	72 0.9×	25	654
Hugh G. Manning	238 0.5×	522 1.4×	317 2.5×	63 0.6×	125 1.5×	17	774
Donggang Xie	228 0.5×	593 1.6×	78 0.6×	87 0.9×	160 2.0×	15	778

Countries citing papers authored by Biying Tan

Since Specialization

Citations

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

Fields of papers citing papers by Biying Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biying Tan

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