Pew-Thian Yap

913 citations
16 papers · 672 indexed · 1 hit paper · h-index 8
Topics
Advanced Neuroimaging Techniques and Applications (9 papers)Advanced MRI Techniques and Applications (5 papers)Sparse and Compressive Sensing Techniques (4 papers)

In The Last Decade

Pew-Thian Yap

16 papers receiving 670 citations

Hit Papers

Infant Brain Atlases from Neonates to 1- and 2-Year-Olds20112026201620212011100200300400

Peers

Pew-Thian Yap
Comparison fields: 5 of 82
  • Cognitive Neuroscience 346
  • Radiology, Nuclear Medicine and Imaging 289
  • Pediatrics, Perinatology and Child Health 273
  • Computer Vision and Pattern Recognition 108
  • Computational Mechanics 36
Replace Maria Murgasova with:
Maria Murgasova United Kingdom
Emma Muñoz‐Moreno Spain
Zhengwang Wu United States
Antonios Makropoulos United Kingdom
Ioannis S. Gousias United Kingdom
Kio Kim United States
Juan Ruiz de Miras Spain
Maria Kuklisova‐Murgasova United Kingdom
Junning Li United States
Maxime Chamberland United Kingdom
Pew-Thian Yap relative to Maria Murgasova United Kingdom Maria Murgasova's profile →
Citations per field
00.5×1.5×
Maria Murgasova · 1×
Citations per year

Countries citing papers authored by Pew-Thian Yap

Since Specialization
Citations

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

Fields of papers citing papers by Pew-Thian Yap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pew-Thian Yap. 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 Pew-Thian Yap. The network helps show where Pew-Thian Yap may publish in the future.

Co-authorship network of co-authors of Pew-Thian Yap

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 2
2 4
3 1
4 7
5 16
6 5
7 4
8 1
9 11
10 15
11 6
12 13
13 28
14 113
15
Infant Brain Atlases from Neonates to 1- and 2-Year-Oldsbreakdown →
425
16 21

About Pew-Thian Yap

Pew-Thian Yap is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 16 papers that have together received 672 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (9 papers), Advanced MRI Techniques and Applications (5 papers) and Sparse and Compressive Sensing Techniques (4 papers). The work is most often cited by research in Cognitive Neuroscience (346 citations), Pediatrics, Perinatology and Child Health (273 citations) and Radiology, Nuclear Medicine and Imaging (289 citations). Pew-Thian Yap has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Dinggang Shen, Feng Shi, Weili Lin, Hongjun Jia, John H. Gilmore, Guorong Wu, Jian Cheng, Guy G. Potter, Kevin Denny and Lihong Wang. Their work appears in journals such as PLoS ONE, IEEE Transactions on Image Processing and Frontiers in Human Neuroscience.

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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