Mingyong Gao

513 citations
37 papers · 283 indexed · h-index 9
Topics
Radiomics and Machine Learning in Medical Imaging (14 papers)MRI in cancer diagnosis (10 papers)Head and Neck Cancer Studies (8 papers)

In The Last Decade

Mingyong Gao

29 papers receiving 279 citations

Peers

Mingyong Gao
Comparison fields: 5 of 81
  • Radiology, Nuclear Medicine and Imaging 102
  • Artificial Intelligence 92
  • Surgery 54
  • Otorhinolaryngology 45
  • Computer Science Applications 36
Replace Tanja Schimek‐Jasch with:
Tanja Schimek‐Jasch Germany
Yunfeng Cui United States
Guangying Ruan China
Hongmei Ying China
Marco Caballo Netherlands
Brigid A. McDonald United States
L K Joynt United States
Virginia Napolitano Italy
D.F. Hicks United States
Mingyong Gao relative to Tanja Schimek‐Jasch Germany Tanja Schimek‐Jasch's profile →
Citations per field
00.5×
Tanja Schimek‐Jasch · 1×
Citations per year

Countries citing papers authored by Mingyong Gao

Since Specialization
Citations

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

Fields of papers citing papers by Mingyong Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyong Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyong Gao. A scholar is included among the top collaborators of Mingyong Gao 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 Mingyong Gao. Mingyong Gao 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 0
3 0
4 9
5 6
6 2
7 2
8 3
9 1
10 1
11 3
12 0
13 9
14 9
15 2
16 4
17 4
18 6
19 16
20 0

About Mingyong Gao

Mingyong Gao is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 37 papers that have together received 283 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), MRI in cancer diagnosis (10 papers) and Head and Neck Cancer Studies (8 papers). The work is most often cited by research in Otorhinolaryngology (45 citations), Health Informatics (10 citations) and Computer Science Applications (36 citations). Mingyong Gao has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Hongke Zhao, Enhong Chen, Guoping Hu, Qi Liu, Si Wei, Zhenya Huang, Yu Su, Xiaofang Cheng, Meng‐Yun Qiang and Jianpeng Li. Their work appears in journals such as Scientific Reports, IEEE Transactions on Medical Imaging and Radiotherapy and Oncology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026