Xiao Han

46 papers receiving 3.6k citations

Hit Papers

Reliability of MRI-derived measurements of human cerebral...200620262012201920064008001.2k

Peers

Xiao Han
Comparison fields: 5 of 160
  • Radiology, Nuclear Medicine and Imaging 1.6k
  • Cognitive Neuroscience 1.2k
  • Computer Vision and Pattern Recognition 837
  • Psychiatry and Mental health 545
  • Radiation 366
Replace T.M. Peters with:
T.M. Peters Canada
Torsten Rohlfing United States
Paul Summers Italy
Hans J. Johnson United States
Giovanna Rizzo Italy
Ron Kikinis United States
Terry M. Peters Canada
Marc Modat United Kingdom
Jürgen Fripp Australia
William R. Crum United Kingdom
Xiao Han relative to T.M. Peters Canada T.M. Peters's profile →
Citations per field
00.5×1.5×2.4×
T.M. Peters · 1×
Citations per year

Countries citing papers authored by Xiao Han

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao Han

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Han. A scholar is included among the top collaborators of Xiao Han 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 Xiao Han. Xiao Han 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
#WorkIndexed citations
1 0
2 8
3 98
4 1
5 39
6 2
7
Local independent projection de-noising algorithm based on phase-space reconstruction technique and independent component analysis
2
8
Basic pursuit denoising research based on the modified quasi-Newton method
1
9 153
10 442
11 7
12 8
13 143
14 5
15 176
16
Reliability of MRI-derived measurements of human cerebral cortical thickness: The effects of field strength, scanner upgrade and manufacturerbreakdown →
1204
17 6
18 29
19 47
20 191

About Xiao Han

Xiao Han is a scholar working on Computer Vision and Pattern Recognition, Radiation and Radiology, Nuclear Medicine and Imaging, having authored 49 papers that have together received 3.7k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (17 papers), Medical Imaging Techniques and Applications (9 papers) and Advanced Radiotherapy Techniques (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.6k citations), Cognitive Neuroscience (1.2k citations) and Radiation (366 citations). Xiao Han has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Jerry L. Prince, Jenni Pacheco, Silvester Czanner, André van der Kouwe, Marilyn Albert, Ronald Killiany, Jorge Jovicich, David H. Salat, Brian Quinn and Chenyang Xu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and International Journal of Radiation Oncology*Biology*Physics.

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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