Fang Dong

113 total papers · 629 total citations
68 papers, 419 citations indexed

About

Fang Dong is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, Fang Dong has authored 68 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 23 papers in Materials Chemistry and 20 papers in Mechanics of Materials. Recurrent topics in Fang Dong's work include Nonlocal and gradient elasticity in micro/nano structures (9 papers), Metal and Thin Film Mechanics (7 papers) and Electronic Packaging and Soldering Technologies (7 papers). Fang Dong is often cited by papers focused on Nonlocal and gradient elasticity in micro/nano structures (9 papers), Metal and Thin Film Mechanics (7 papers) and Electronic Packaging and Soldering Technologies (7 papers). Fang Dong collaborates with scholars based in China, United States and Singapore. Fang Dong's co-authors include Sheng Liu, Kang Liang, Baoxiu Mi, Dapeng Cao, Yong Yang, Zhiwen Chen, Yu Tong, Zhiqiang Gao, Li Liu and Zhao Zhang and has published in prestigious journals such as Applied Physics Letters, Scientific Reports and IEEE Access.

In The Last Decade

Fang Dong

59 papers receiving 400 citations

Author Peers

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

Author Last Decade Papers Cites
Fang Dong 190 149 103 89 88 68 419
Jian Ning Ding 214 1.1× 131 0.9× 110 1.1× 67 0.8× 59 0.7× 42 412
Seokmoo Hong 181 1.0× 111 0.7× 106 1.0× 170 1.9× 71 0.8× 66 413
Ricardo J. Zednik 156 0.8× 92 0.6× 75 0.7× 51 0.6× 185 2.1× 36 386
Ming Li 108 0.6× 170 1.1× 178 1.7× 118 1.3× 82 0.9× 52 467
René H. Poelma 139 0.7× 154 1.0× 40 0.4× 70 0.8× 93 1.1× 51 407
Ho-Young Lee 336 1.8× 197 1.3× 82 0.8× 70 0.8× 91 1.0× 39 440
Jeffery C. C. Lo 260 1.4× 66 0.4× 90 0.9× 81 0.9× 83 0.9× 98 410
Sebastian Geier 184 1.0× 211 1.4× 105 1.0× 45 0.5× 52 0.6× 45 433
Ping Du 123 0.6× 171 1.1× 116 1.1× 77 0.9× 177 2.0× 47 483
Hao Long 126 0.7× 191 1.3× 144 1.4× 124 1.4× 60 0.7× 62 458

Countries citing papers authored by Fang Dong

Since Specialization
Citations

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

Fields of papers citing papers by Fang Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Dong

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