Qiang Lin
Impact in
- Health Informatics top 5%
-
- Face and Expression Recognition
- Context-Aware Activity Recognition Systems
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 37
- Medical Imaging Techniques and Applications 27
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- Face and Expression Recognition 11
- Context-Aware Activity Recognition Systems 10
- Co-authors
- Ping Zhong (12 shared papers)Tongtong Li (8 shared papers)Hongbo Ni (6 shared papers)Xingshe Zhou (5 shared papers)Liwen Xiong (4 shared papers)Haiyang Hu (3 shared papers)John G. Facciponte (1 shared paper)Qianjun Zhou (1 shared paper)
- Journals
- PLoS ONE (4 papers)Knowledge-Based Systems (4 papers)Physics in Medicine and Biology (3 papers)IEEE Access (3 papers)Journal of Applied Polymer Science (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Qiang Lin
122 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 150
- Health Informatics 37
- Computer Vision and Pattern Recognition 288
- Radiology, Nuclear Medicine and Imaging 266
- Artificial Intelligence 283
- Transportation 54
Countries citing papers authored by Qiang Lin
This map shows the geographic impact of Qiang Lin'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 Qiang Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiang Lin more than expected).
Fields of papers citing papers by Qiang Lin
This network shows the impact of papers produced by Qiang Lin. 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 Qiang Lin. The network helps show where Qiang Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Qiang Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 80 | |
| 2 | 2015 | 70 | |
| 3 | 2013 | 54 | |
| 4 | 2014 | 54 | |
| 5 | 2007 | 51 | |
| 6 | 2013 | 50 | |
| 7 | 2021 | 48 | |
| 8 | 2020 | 46 | |
| 9 | 2005 | 42 | |
| 10 | 2016 | 42 | |
| 11 | 2014 | 42 | |
| 12 | 2022 | 33 | |
| 13 | 2020 | 33 | |
| 14 | 2011 | 32 | |
| 15 | 2021 | 32 | |
| 16 | 2018 | 28 | |
| 17 | 2021 | 27 | |
| 18 | 2022 | 27 | |
| 19 | 2021 | 23 | |
| 20 | 2017 | 22 |
About Qiang Lin
Qiang Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 134 papers that have together received 1.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (37 papers), Medical Imaging Techniques and Applications (27 papers), Lung Cancer Diagnosis and Treatment (14 papers), Face and Expression Recognition (11 papers), AI in cancer detection (11 papers), Context-Aware Activity Recognition Systems (10 papers), Medical Imaging and Analysis (8 papers) and Advanced X-ray and CT Imaging (8 papers). The work is most often cited by research in Health Informatics (37 citations), Computer Vision and Pattern Recognition (288 citations), Radiology, Nuclear Medicine and Imaging (266 citations), Artificial Intelligence (283 citations) and Transportation (54 citations). Qiang Lin has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Ping Zhong, Tongtong Li, Hongbo Ni, Xingshe Zhou, Liwen Xiong, Haiyang Hu, John G. Facciponte, Qianjun Zhou, Min Jin and Qiang Shen. Their work appears in journals such as PLoS ONE, Knowledge-Based Systems, Physics in Medicine and Biology, IEEE Access and Journal of Applied Polymer Science.
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.