Dengtai Chen

17 total papers · 536 total citations
14 papers, 491 citations indexed

About

Dengtai Chen is a scholar working on Materials Chemistry, Organic Chemistry and Physical and Theoretical Chemistry. According to data from OpenAlex, Dengtai Chen has authored 14 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 4 papers in Organic Chemistry and 3 papers in Physical and Theoretical Chemistry. Recurrent topics in Dengtai Chen's work include Machine Learning in Materials Science (3 papers), Catalysis and Oxidation Reactions (2 papers) and Gold and Silver Nanoparticles Synthesis and Applications (2 papers). Dengtai Chen is often cited by papers focused on Machine Learning in Materials Science (3 papers), Catalysis and Oxidation Reactions (2 papers) and Gold and Silver Nanoparticles Synthesis and Applications (2 papers). Dengtai Chen collaborates with scholars based in China, United States and Poland. Dengtai Chen's co-authors include Xijiang Han, Yunchen Du, Ping Xu, Rong Qiang, Ying Wang, Hongtao Zhao, Jun Ma, Wenjie Ma, Leilei Kang and Bin Zhang and has published in prestigious journals such as Chemical Communications, The Journal of Physical Chemistry C and RSC Advances.

In The Last Decade

Dengtai Chen

14 papers receiving 489 citations

Author Peers

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

Author						Papers	Cites
Dengtai Chen	308	178	175	82	71	14	491
Xiang Gao	251 0.8×	208 1.2×	152 0.9×	72 0.9×	19 0.3×	10	437
Xingxue Zhang	316 1.0×	262 1.5×	164 0.9×	72 0.9×	60 0.8×	10	546
Guobing Mao	134 0.4×	90 0.5×	372 2.1×	36 0.4×	211 3.0×	25	534
Jiamin Ma	88 0.3×	37 0.2×	268 1.5×	52 0.6×	174 2.5×	20	455
Wei Meng	313 1.0×	182 1.0×	186 1.1×	74 0.9×	111 1.6×	13	479
Pengfei Hu	206 0.7×	68 0.4×	226 1.3×	25 0.3×	235 3.3×	13	462
Lin Wang	310 1.0×	68 0.4×	96 0.5×	31 0.4×	98 1.4×	16	421
Yongsheng Yu	168 0.5×	123 0.7×	191 1.1×	33 0.4×	309 4.4×	11	542
Zhu Zhang	262 0.9×	222 1.2×	164 0.9×	19 0.2×	135 1.9×	12	459
Weizhen Wang	68 0.2×	60 0.3×	278 1.6×	36 0.4×	107 1.5×	24	409

Countries citing papers authored by Dengtai Chen

Since Specialization

Citations

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

Fields of papers citing papers by Dengtai Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dengtai Chen

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