Hao Guan

689 total citations · 1 hit paper
21 papers, 363 citations indexed

About

Hao Guan is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Hao Guan has authored 21 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Hao Guan's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Neonatal and fetal brain pathology (2 papers). Hao Guan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Neonatal and fetal brain pathology (2 papers). Hao Guan collaborates with scholars based in China, United States and Australia. Hao Guan's co-authors include Mingxia Liu, Pew‐Thian Yap, Andrea Bozoki, Patricia F. Maness, Erkun Yang, Dinggang Shen, Yunbi Liu, Ling Yue, Yepang Liu and Akio Horiguchi and has published in prestigious journals such as NeuroImage, Cerebral Cortex and IEEE Access.

In The Last Decade

Hao Guan

19 papers receiving 358 citations

Hit Papers

Federated learning for medical image analysis: A survey 2024 2026 2025 2024 40 80 120

Peers

Hao Guan
Comparison fields: 5 of 88
  • Artificial Intelligence 128
  • Radiology, Nuclear Medicine and Imaging 120
  • Neurology 51
  • Computer Vision and Pattern Recognition 47
  • Cognitive Neuroscience 42
Replace Fernando Pérez‐García with:
Fernando Pérez‐García United Kingdom
Claudio Stamile France
Yuqi Fang China
Zhuoyuan Li China
Samuel Guzman United States
Mahsa Shakeri Canada
Yande Ren China
Steffen Oeltze‐Jafra Germany
Fan Zhu China
Vasileios G. Kanas Greece
Fernando Pérez‐García United Kingdom View profile →
Citations per field, relative to Hao Guan
Hao Guan · 1×
Citations per year, relative to Hao Guan
Hao Guan · 1×

Countries citing papers authored by Hao Guan

Since Specialization
Citations

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

Fields of papers citing papers by Hao Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Guan. A scholar is included among the top collaborators of Hao Guan 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 Hao Guan. Hao Guan 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 0
2 0
3 6
4
Federated learning for medical image analysis: A survey breakdown →
148
5 1
6 8
7 9
8 13
9 4
10 6
11 85
12 7
13 3
14 1
15 1
16 1
17 36
18 6
19 12
20 13

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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