Houfu Dai

26 total papers · 481 total citations
19 papers, 363 citations indexed

About

Houfu Dai is a scholar working on Biomedical Engineering, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, Houfu Dai has authored 19 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 12 papers in Materials Chemistry and 11 papers in Mechanical Engineering. Recurrent topics in Houfu Dai's work include Advanced Surface Polishing Techniques (14 papers), Diamond and Carbon-based Materials Research (11 papers) and Advanced machining processes and optimization (7 papers). Houfu Dai is often cited by papers focused on Advanced Surface Polishing Techniques (14 papers), Diamond and Carbon-based Materials Research (11 papers) and Advanced machining processes and optimization (7 papers). Houfu Dai collaborates with scholars based in China and United Kingdom. Houfu Dai's co-authors include Ping Li, Yuqi Zhou, Fa Zhang, Tan Jin, Siyu Chen, Weilong Wu, Meina Qu, Bokai Liao, Hang Xiao and Zhiquan Chen and has published in prestigious journals such as Applied Surface Science, Applied Physics A and Ceramics International.

In The Last Decade

Houfu Dai

18 papers receiving 356 citations

Author Peers

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

Author Last Decade Papers Cites
Houfu Dai 257 231 157 101 67 19 363
Weihai Huang 304 1.2× 269 1.2× 125 0.8× 81 0.8× 91 1.4× 23 380
Richard L. Rhorer 228 0.9× 252 1.1× 123 0.8× 98 1.0× 107 1.6× 30 371
Qian Bai 215 0.8× 210 0.9× 104 0.7× 110 1.1× 83 1.2× 21 368
Mengran Ge 282 1.1× 166 0.7× 146 0.9× 90 0.9× 71 1.1× 21 376
Piao Zhou 258 1.0× 185 0.8× 210 1.3× 86 0.9× 64 1.0× 19 335
Zhanfeng Wang 196 0.8× 284 1.2× 177 1.1× 148 1.5× 45 0.7× 27 402
Ning Hou 198 0.8× 170 0.7× 108 0.7× 100 1.0× 82 1.2× 31 319
Zhong-Chen Cao 339 1.3× 272 1.2× 74 0.5× 51 0.5× 67 1.0× 27 385
D. Li 206 0.8× 195 0.8× 135 0.9× 78 0.8× 60 0.9× 18 363
Eamonn Ahearne 154 0.6× 200 0.9× 58 0.4× 45 0.4× 69 1.0× 20 310

Countries citing papers authored by Houfu Dai

Since Specialization
Citations

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

Fields of papers citing papers by Houfu Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Houfu Dai

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