Hanpei Miao

547 total citations
21 papers, 253 citations indexed

About

Hanpei Miao is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Pathology and Forensic Medicine. According to data from OpenAlex, Hanpei Miao has authored 21 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Ophthalmology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Hanpei Miao's work include Retinal Imaging and Analysis (9 papers), Retinal Diseases and Treatments (6 papers) and Glaucoma and retinal disorders (3 papers). Hanpei Miao is often cited by papers focused on Retinal Imaging and Analysis (9 papers), Retinal Diseases and Treatments (6 papers) and Glaucoma and retinal disorders (3 papers). Hanpei Miao collaborates with scholars based in China, Macao and Singapore. Hanpei Miao's co-authors include Jiang Liu, Heng Li, William Robert Kwapong, Ce Shi, Meixiao Shen, Yan Hu, Huazhu Fu, Yitian Zhao, Hongyang Jiang and Haofeng Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Hanpei Miao

20 papers receiving 252 citations

Peers

Hanpei Miao
Comparison fields: 5 of 59
  • Radiology, Nuclear Medicine and Imaging 164
  • Ophthalmology 124
  • Computer Vision and Pattern Recognition 42
  • Artificial Intelligence 37
  • Biomedical Engineering 29
Replace Yan Tong with:
Yan Tong China
Susana Penas Portugal
Hoon Dong Kim South Korea
Phani Paladugu United States
Tsutomu Kikawa Japan
Srinivasan Kavitha India
Sophie Lemmens Belgium
Zoran Vatavuk Croatia
Hiroki Enno Japan
Yan Tong China View profile →
Citations per field, relative to Hanpei Miao
Hanpei Miao · 1×
Citations per year, relative to Hanpei Miao
Hanpei Miao · 1×

Countries citing papers authored by Hanpei Miao

Since Specialization
Citations

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

Fields of papers citing papers by Hanpei Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanpei Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Hanpei Miao. A scholar is included among the top collaborators of Hanpei Miao 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 Hanpei Miao. Hanpei Miao 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 12
3 6
4 1
5 3
6 4
7 27
8 4
9 1
10 4
11 44
12 1
13 5
14 0
15 22
16 8
17 14
18 31
19 48
20 1

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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