Hongwei Dai

44 total papers · 865 total citations
33 papers, 710 citations indexed

About

Hongwei Dai is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Hongwei Dai has authored 33 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electronic, Optical and Magnetic Materials, 16 papers in Materials Chemistry and 15 papers in Biomedical Engineering. Recurrent topics in Hongwei Dai's work include 2D Materials and Applications (13 papers), Plasmonic and Surface Plasmon Research (13 papers) and Gold and Silver Nanoparticles Synthesis and Applications (11 papers). Hongwei Dai is often cited by papers focused on 2D Materials and Applications (13 papers), Plasmonic and Surface Plasmon Research (13 papers) and Gold and Silver Nanoparticles Synthesis and Applications (11 papers). Hongwei Dai collaborates with scholars based in China, Singapore and United States. Hongwei Dai's co-authors include Junbo Han, Hui Cheng, Xia Wang, Luman Zhang, Mingshan Wang, Xiaotao Han, Lei Ye, Xinyu Huang, Xiaodie Chen and Zongwei Ma and has published in prestigious journals such as Advanced Materials, Nature Communications and ACS Nano.

In The Last Decade

Hongwei Dai

29 papers receiving 685 citations

Author Peers

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

Author						Papers	Cites
Hongwei Dai	453	369	225	198	168	33	710
Takao Tohda	450 1.0×	234 0.6×	351 1.6×	210 1.1×	361 2.1×	33	815
Óscar Ávalos‐Ovando	274 0.6×	285 0.8×	218 1.0×	259 1.3×	112 0.7×	28	677
Philipp Kühne	353 0.8×	216 0.6×	195 0.9×	276 1.4×	323 1.9×	39	754
Sebastian Geburt	481 1.1×	287 0.8×	410 1.8×	221 1.1×	428 2.5×	36	880
Wenjing Yan	476 1.1×	274 0.7×	234 1.0×	382 1.9×	358 2.1×	20	871
Hongliang Lu	665 1.5×	104 0.3×	150 0.7×	252 1.3×	307 1.8×	42	877
Guiguang Xiong	321 0.7×	103 0.3×	225 1.0×	380 1.9×	234 1.4×	42	625
Emanuele Francesco Pecora	363 0.8×	268 0.7×	462 2.1×	252 1.3×	393 2.3×	34	812
Lei Liu	310 0.7×	251 0.7×	175 0.8×	296 1.5×	211 1.3×	46	677
Elías Ferreiro‐Vila	243 0.5×	277 0.8×	494 2.2×	293 1.5×	362 2.2×	22	802

Countries citing papers authored by Hongwei Dai

Since Specialization

Citations

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

Fields of papers citing papers by Hongwei Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongwei Dai

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