Wei Qian

991 total citations
39 papers, 680 citations indexed

About

Wei Qian is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wei Qian has authored 39 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Pulmonary and Respiratory Medicine and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wei Qian's work include AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Wei Qian is often cited by papers focused on AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Wei Qian collaborates with scholars based in United States, China and Hong Kong. Wei Qian's co-authors include Laurence P. Clarke, Hongyang Jiang, He Ma, Mengdi Gao, Maria Kallergi, Robert A. Clark, Lihua Li, Dansheng Song, Shujin Li and Robert A. Clark and has published in prestigious journals such as Chemical Physics Letters, Optics Letters and IEEE Transactions on Medical Imaging.

In The Last Decade

Wei Qian

34 papers receiving 647 citations

Peers

Wei Qian
Comparison fields: 5 of 109
  • Artificial Intelligence 324
  • Radiology, Nuclear Medicine and Imaging 309
  • Computer Vision and Pattern Recognition 213
  • Pulmonary and Respiratory Medicine 207
  • Biomedical Engineering 66
Replace F. Fauci with:
F. Fauci Italy
Jiazheng Shi United States
U. Bottigli Italy
Wenqing Sun China
Edward Muka United States
Nico Lanconelli Italy
Ganapathy Krishnamurthi India
Homero Schiabel Brazil
Brian Harrawood United States
Thomas Blaffert Germany
F. Fauci Italy View profile →
Citations per field, relative to Wei Qian
Wei Qian · 1×
Citations per year, relative to Wei Qian
Wei Qian · 1×

Countries citing papers authored by Wei Qian

Since Specialization
Citations

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

Fields of papers citing papers by Wei Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Qian. A scholar is included among the top collaborators of Wei Qian 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 Wei Qian. Wei Qian 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 3
2 0
3 1
4 0
5 3
6 0
7 47
8 2
9 2
10 2
11 13
12 3
13 199
14 6
15 13
16 22
17 35
18 45
19 81
20 37

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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