Yinyu Nie

51 total papers · 732 total citations
21 papers, 343 citations indexed

About

Yinyu Nie is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Yinyu Nie has authored 21 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Computational Mechanics and 7 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Yinyu Nie's work include 3D Shape Modeling and Analysis (10 papers), Computer Graphics and Visualization Techniques (7 papers) and 3D Surveying and Cultural Heritage (5 papers). Yinyu Nie is often cited by papers focused on 3D Shape Modeling and Analysis (10 papers), Computer Graphics and Visualization Techniques (7 papers) and 3D Surveying and Cultural Heritage (5 papers). Yinyu Nie collaborates with scholars based in China, United Kingdom and Germany. Yinyu Nie's co-authors include Xiaoguang Han, Jianjun Zhang, Jian Chang, Shihui Guo, Ji Hou, Matthias Niesner, Angela Dai, Jiapeng Tang, Matthias Nießner and Justus Thies and has published in prestigious journals such as ACS Applied Materials & Interfaces, ACM Transactions on Graphics and Pattern Recognition.

In The Last Decade

Yinyu Nie

19 papers receiving 335 citations

Author Peers

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

Author						Papers	Cites
Yinyu Nie	195	114	80	65	61	21	343
Vicente Morell	172 0.9×	58 0.5×	75 0.9×	107 1.6×	30 0.5×	26	322
Manyi Li	188 1.0×	163 1.4×	73 0.9×	30 0.5×	102 1.7×	25	343
Haotong Lin	222 1.1×	74 0.6×	39 0.5×	103 1.6×	83 1.4×	15	325
Feixiang Lu	215 1.1×	55 0.5×	24 0.3×	87 1.3×	42 0.7×	20	328
Zhaoxi Chen	174 0.9×	49 0.4×	25 0.3×	151 2.3×	82 1.3×	19	401
Wenming Wu	122 0.6×	50 0.4×	97 1.2×	14 0.2×	65 1.1×	29	344
Nicola D'Apuzzo	185 0.9×	69 0.6×	79 1.0×	38 0.6×	14 0.2×	26	309
Chi‐Han Peng	158 0.8×	130 1.1×	67 0.8×	39 0.6×	157 2.6×	18	352
Lingni Ma	284 1.5×	86 0.8×	132 1.6×	194 3.0×	42 0.7×	17	385
Jia Sun	149 0.8×	85 0.7×	95 1.2×	62 1.0×	20 0.3×	13	345

Countries citing papers authored by Yinyu Nie

Since Specialization

Citations

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

Fields of papers citing papers by Yinyu Nie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinyu Nie

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