Nuodi Huang

80 total papers · 1.3k total citations
61 papers, 934 citations indexed

About

Nuodi Huang is a scholar working on Mechanical Engineering, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nuodi Huang has authored 61 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Mechanical Engineering, 29 papers in Computational Mechanics and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nuodi Huang's work include Advanced Measurement and Metrology Techniques (37 papers), Advanced machining processes and optimization (30 papers) and Advanced Numerical Analysis Techniques (25 papers). Nuodi Huang is often cited by papers focused on Advanced Measurement and Metrology Techniques (37 papers), Advanced machining processes and optimization (30 papers) and Advanced Numerical Analysis Techniques (25 papers). Nuodi Huang collaborates with scholars based in China, United States and Germany. Nuodi Huang's co-authors include Yuhan Wang, Qingzhen Bi, Chao Sun, Limin Zhu, Shijing Wu, Yang Zhang, Lei Zhong, Li Zhu, Thomas R. Kurfess and Han Ding and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, International Journal of Machine Tools and Manufacture and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Nuodi Huang

57 papers receiving 917 citations

Author Peers

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

Author Last Decade Papers Cites
Nuodi Huang 792 440 254 234 192 61 934
Allan D. Spence 768 1.0× 381 0.9× 394 1.6× 418 1.8× 90 0.5× 54 997
Sylvain Lavernhe 731 0.9× 529 1.2× 279 1.1× 215 0.9× 91 0.5× 36 927
Jinwei Fan 862 1.1× 280 0.6× 213 0.8× 278 1.2× 65 0.3× 118 1.1k
Sitong Xiang 876 1.1× 428 1.0× 132 0.5× 113 0.5× 123 0.6× 38 941
Sascha Weikert 891 1.1× 270 0.6× 185 0.7× 166 0.7× 100 0.5× 63 977
J. Jędrzejewski 1.1k 1.4× 244 0.6× 261 1.0× 238 1.0× 60 0.3× 44 1.1k
Ryuta Sato 865 1.1× 312 0.7× 313 1.2× 226 1.0× 41 0.2× 135 1.0k
G. W. Vickers 539 0.7× 502 1.1× 391 1.5× 181 0.8× 156 0.8× 56 984
Jiing‐Yih Lai 322 0.4× 330 0.8× 189 0.7× 183 0.8× 197 1.0× 90 906
Pengcheng Hu 632 0.8× 357 0.8× 450 1.8× 206 0.9× 84 0.4× 50 995

Countries citing papers authored by Nuodi Huang

Since Specialization
Citations

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

Fields of papers citing papers by Nuodi Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nuodi Huang

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