Qihua Li

1.7k citations
12 papers · 812 indexed · 1 hit paper · h-index 6
Topics
Radiomics and Machine Learning in Medical Imaging (4 papers)Advanced Image and Video Retrieval Techniques (4 papers)Image Retrieval and Classification Techniques (4 papers)

In The Last Decade

Qihua Li

9 papers receiving 800 citations

Hit Papers

A Deep Learning-Based Radiomics Model for Prediction of S...20172026202020232017100200300400

Peers

Qihua Li
Comparison fields: 5 of 76
  • Radiology, Nuclear Medicine and Imaging 678
  • Genetics 268
  • Pulmonary and Respiratory Medicine 169
  • Artificial Intelligence 166
  • Biomedical Engineering 150
Replace Qiuchang Sun with:
Qiuchang Sun China
Hwan-ho Cho South Korea
Jay Patel United States
Sohi Bae South Korea
Ramón Correa United States
Sebastian Echegaray United States
Michelle Bardis United States
Anahita Fathi Kazerooni United States
Bum‐Sup Jang South Korea
Qihua Li relative to Qiuchang Sun China Qiuchang Sun's profile →
Citations per field
00.5×2.5×
Qiuchang Sun · 1×
Citations per year

Countries citing papers authored by Qihua Li

Since Specialization
Citations

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

Fields of papers citing papers by Qihua Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qihua Li

This figure shows the co-authorship network connecting the top 25 collaborators of Qihua Li. A scholar is included among the top collaborators of Qihua Li 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 Qihua Li. Qihua Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 0
5 1
6 2
7 13
8 74
9 22
10 133
11
A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiformebreakdown →
461
12 105

About Qihua Li

Qihua Li is a scholar working on Genetics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 812 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Health Informatics (42 citations), Radiology, Nuclear Medicine and Imaging (678 citations) and Genetics (268 citations). Qihua Li has collaborated with scholars based in China, Australia and Netherlands. Frequent co-authors include Yinsheng Chen, Zhicheng Li, Ji Zhang, Jing Liu, Jiangwei Lao, Guangtao Zhai, Qiuchang Sun, Chaofeng Liang, Lei Liu and Hongmin Bai. Their work appears in journals such as Scientific Reports, Neurocomputing and European Radiology.

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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