Riqiang Gao

697 total citations
34 papers, 340 citations indexed

About

Riqiang Gao is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Riqiang Gao has authored 34 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Pulmonary and Respiratory Medicine and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Riqiang Gao's work include Radiomics and Machine Learning in Medical Imaging (19 papers), Lung Cancer Diagnosis and Treatment (14 papers) and COVID-19 diagnosis using AI (9 papers). Riqiang Gao is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (19 papers), Lung Cancer Diagnosis and Treatment (14 papers) and COVID-19 diagnosis using AI (9 papers). Riqiang Gao collaborates with scholars based in United States, Germany and United Kingdom. Riqiang Gao's co-authors include Bennett A. Landman, Yuankai Huo, Yucheng Tang, Shunxing Bao, Kim L. Sandler, Kaiwen Xu, Ho Hin Lee, Sanja Antic, Thomas A. Lasko and Pierre P. Massion and has published in prestigious journals such as Radiology, IEEE Transactions on Medical Imaging and Medical Physics.

In The Last Decade

Riqiang Gao

32 papers receiving 336 citations

Peers

Riqiang Gao
Comparison fields: 5 of 65
  • Radiology, Nuclear Medicine and Imaging 213
  • Pulmonary and Respiratory Medicine 115
  • Computer Vision and Pattern Recognition 97
  • Artificial Intelligence 94
  • Biomedical Engineering 57
Replace Tobias Hepp with:
Tobias Hepp Germany
Ahmed Alksas United States
Yunsong Peng China
Manudeep Kalra United States
Shangqing Liu China
Taiki Magome Japan
Shujun Liang China
Joanne Hoffman United States
Yaofeng Wen China
Lucas Fidon United Kingdom
Tobias Hepp Germany View profile →
Citations per field, relative to Riqiang Gao
Riqiang Gao · 1×
Citations per year, relative to Riqiang Gao
Riqiang Gao · 1×

Countries citing papers authored by Riqiang Gao

Since Specialization
Citations

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

Fields of papers citing papers by Riqiang Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riqiang Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Riqiang Gao. A scholar is included among the top collaborators of Riqiang 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 Riqiang Gao. Riqiang 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
# Work Indexed citations
1 2
2 15
3 33
4 11
5 8
6 0
7 9
8 6
9 12
10 0
11 11
12 6
13 7
14 3
15 10
16 11
17 5
18 6
19 9
20 15

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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