Yao Nie

881 total citations · 1 hit paper
21 papers, 612 citations indexed

About

Yao Nie is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Yao Nie has authored 21 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Media Technology. Recurrent topics in Yao Nie's work include Image and Signal Denoising Methods (8 papers), AI in cancer detection (5 papers) and Advanced Image Processing Techniques (5 papers). Yao Nie is often cited by papers focused on Image and Signal Denoising Methods (8 papers), AI in cancer detection (5 papers) and Advanced Image Processing Techniques (5 papers). Yao Nie collaborates with scholars based in United States, Singapore and United Kingdom. Yao Nie's co-authors include Kai‐Kuang Ma, Kenneth E. Barner, Anthony Vetro, Wei Guang An, Huifang Sun, Safoora Yousefi, Zidong Wang, Zhong Du, Qinyuan Liu and Qian Guo and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Image Processing and Optics Express.

In The Last Decade

Yao Nie

21 papers receiving 571 citations

Hit Papers

Adaptive rood pattern search for fast block-matching moti... 2002 2026 2010 2018 2002 100 200 300

Peers

Yao Nie
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 516
  • Signal Processing 325
  • Media Technology 62
  • Artificial Intelligence 51
  • Radiology, Nuclear Medicine and Imaging 33
Replace Zhifang Wang with:
Zhifang Wang China
Chahab Nastar France
Francesc Aulí-Llinàs Spain
Guo-Shiang Lin Taiwan
Miguel Hernández-Cabronero Spain
Shinfeng D. Lin Taiwan
C. Sanz Spain
Dimitrios Androutsos Canada
Mahdi S. Hosseini Canada
Zhifang Wang China View profile →
Citations per field, relative to Yao Nie
Yao Nie · 1×
Citations per year, relative to Yao Nie
Yao Nie · 1×

Countries citing papers authored by Yao Nie

Since Specialization
Citations

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

Fields of papers citing papers by Yao Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Yao Nie. A scholar is included among the top collaborators of Yao 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 Yao Nie. Yao Nie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 5
3 3
4 6
5 35
6 10
7 1
8 1
9 8
10 33
11 10
12 13
13 22
14 17
15 1
16 3
17 3
18
Adaptive rood pattern search for fast block-matching motion estimation breakdown →
397
19 8
20 17

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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