Xiaohong Han

1.2k citations
28 papers · 915 indexed · h-index 16
Topics
Metaheuristic Optimization Algorithms Research (9 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)Evolutionary Algorithms and Applications (5 papers)
Partner nations
ChinaJapanUnited States

In The Last Decade

Xiaohong Han

27 papers receiving 892 citations

Peers

Xiaohong Han
Comparison fields: 5 of 114
  • Artificial Intelligence 379
  • Computer Vision and Pattern Recognition 219
  • Cognitive Neuroscience 187
  • Signal Processing 113
  • Radiology, Nuclear Medicine and Imaging 85
Replace Modjtaba Rouhani with:
Modjtaba Rouhani Iran
Simon Y. Foo United States
Ahmad Ayatollahi Iran
Ahmed M. Anter Egypt
Talal Bonny United Arab Emirates
Xiao Gu China
Yulia Hicks United Kingdom
Jingwei Too Malaysia
Adam Pocock United Kingdom
Siqi Liu China
Xiaohong Han relative to Modjtaba Rouhani Iran Modjtaba Rouhani's profile →
Citations per field
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Modjtaba Rouhani · 1×
Citations per year

Countries citing papers authored by Xiaohong Han

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohong Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohong Han

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohong Han. A scholar is included among the top collaborators of Xiaohong 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 Xiaohong Han. Xiaohong 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 19
2 0
3 20
4 6
5 6
6 4
7 11
8 22
9 88
10 5
11 1
12 47
13 194
14 1
15 19
16 53
17 24
18 55
19 16
20 1

About Xiaohong Han

Xiaohong Han is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 28 papers that have together received 915 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (9 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Evolutionary Algorithms and Applications (5 papers). The work is most often cited by research in Artificial Intelligence (379 citations), Computer Vision and Pattern Recognition (219 citations) and Signal Processing (113 citations). Xiaohong Han has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Xiaoming Chang, Xiaoyan Xiong, Jie Xiang, Long Quan, Kaiyuan Wang, Jun Chang, Rui Cao, Bin Wang, Conggai Li and Junjie Chen. Their work appears in journals such as PLoS ONE, Information Sciences and Medical 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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