Hui Mao

17.8k total citations
375 papers, 12.9k citations indexed

About

Hui Mao is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Hui Mao has authored 375 papers receiving a total of 12.9k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Radiology, Nuclear Medicine and Imaging, 88 papers in Biomedical Engineering and 67 papers in Molecular Biology. Recurrent topics in Hui Mao's work include Nanoparticle-Based Drug Delivery (53 papers), Advanced MRI Techniques and Applications (41 papers) and Medical Imaging Techniques and Applications (40 papers). Hui Mao is often cited by papers focused on Nanoparticle-Based Drug Delivery (53 papers), Advanced MRI Techniques and Applications (41 papers) and Medical Imaging Techniques and Applications (40 papers). Hui Mao collaborates with scholars based in United States, China and Germany. Hui Mao's co-authors include Lily Yang, Li‐Ya Wang, Shuming Nie, Jing Huang, Xiaofeng Yang, Stephan Hamann, Walter J. Curran, Yang Lei, Xiqun Jiang and Tonghe Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Hui Mao

357 papers receiving 12.6k citations

Peers

Hui Mao
Comparison fields: 5 of 200
  • Biomedical Engineering 4.2k
  • Molecular Biology 3.1k
  • Biomaterials 3.1k
  • Radiology, Nuclear Medicine and Imaging 2.0k
  • Materials Chemistry 1.8k
Replace Yì Wáng with:
Yì Wáng China
Joseph A. Frank United States
Juan Li China
Klaas Nicolay Netherlands
Wei Wang China
Dong‐Hyun Kim South Korea
Edward A. Neuwelt United States
Zhen Yuan China
Wei R. Chen United States
Juan Chen China
Yì Wáng China View profile →
Citations per field, relative to Hui Mao
Hui Mao · 1×
Citations per year, relative to Hui Mao
Hui Mao · 1×

Countries citing papers authored by Hui Mao

Since Specialization
Citations

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

Fields of papers citing papers by Hui Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Mao. A scholar is included among the top collaborators of Hui Mao 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 Hui Mao. Hui Mao 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 0
3 1
4 3
5 25
6 17
7 24
8 58
9 1
10 8
11 1
12 92
13 79
14 26
15
High-resolution CT Image Retrieval Using Sparse Convolutional Neural Network
1
16 40
17 52
18 313
19 98
20 65

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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