Qaiser Chaudry
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
-
- Digital Imaging for Blood Diseases
Papers in
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- AI in cancer detection 10
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- Medical Image Segmentation Techniques 3
- Advanced Neural Network Applications 3
- Image and Object Detection Techniques 2
- Co-authors
- May D. Wang (15 shared papers)Sonal Kothari (2 shared papers)Koon Yin Kong (4 shared papers)Ruth O’Regan (1 shared paper)Maksym Yezhelyev (1 shared paper)Shuming Nie (2 shared papers)Haiyen E. Zhau (1 shared paper)John A. Petros (2 shared papers)
- Journals
- IEEE Access (2 papers)Nature Protocols (1 paper)Journal of Pathology Informatics (1 paper)Journal of Signal Processing Systems (1 paper)Conference proceedings (1 paper)
- Partner nations
- United StatesPakistanUnited Kingdom
In The Last Decade
Qaiser Chaudry
21 papers receiving 706 citations
Peers
Comparison fields: 5 of 95
- Biophysics 111
- Computer Vision and Pattern Recognition 192
- Artificial Intelligence 197
- Radiology, Nuclear Medicine and Imaging 100
- Media Technology 41
Countries citing papers authored by Qaiser Chaudry
This map shows the geographic impact of Qaiser Chaudry'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 Qaiser Chaudry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qaiser Chaudry more than expected).
Fields of papers citing papers by Qaiser Chaudry
This network shows the impact of papers produced by Qaiser Chaudry. 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 Qaiser Chaudry. The network helps show where Qaiser Chaudry may publish in the future.
Co-authors
The 25 scholars most cited alongside Qaiser Chaudry, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 400 | |
| 2 | 2009 | 94 | |
| 3 | 2011 | 75 | |
| 4 | 2007 | 19 | |
| 5 | 2016 | 18 | |
| 6 | 2006 | 16 | |
| 7 | 2008 | 15 | |
| 8 | 2010 | 13 | |
| 9 | 2017 | 12 | |
| 10 | 2009 | 11 | |
| 11 | 2009 | 10 | |
| 12 | 2016 | 8 | |
| 13 | 2012 | 7 | |
| 14 | 2008 | 7 | |
| 15 | 2021 | 5 | |
| 16 | 2017 | 5 | |
| 17 | 2009 | 4 | |
| 18 | 2014 | 2 | |
| 19 | 2006 | 1 | |
| 20 | 2007 | 1 |
About Qaiser Chaudry
Qaiser Chaudry is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 22 papers that have together received 724 indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Medical Image Segmentation Techniques (3 papers), Cell Image Analysis Techniques (3 papers), Advanced Neural Network Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Image and Object Detection Techniques (2 papers), Quantum Dots Synthesis And Properties (2 papers) and Advanced Biosensing Techniques and Applications (2 papers). The work is most often cited by research in Biophysics (111 citations), Computer Vision and Pattern Recognition (192 citations), Artificial Intelligence (197 citations), Radiology, Nuclear Medicine and Imaging (100 citations) and Media Technology (41 citations). Qaiser Chaudry has collaborated with scholars based in United States, Pakistan and United Kingdom. Frequent co-authors include May D. Wang, Sonal Kothari, Koon Yin Kong, Ruth O’Regan, Maksym Yezhelyev, Shuming Nie, Haiyen E. Zhau, John A. Petros, Jonathan W. Simons and Leland W.K. Chung. Their work appears in journals such as IEEE Access, Nature Protocols, Journal of Pathology Informatics, Journal of Signal Processing Systems and Conference proceedings.
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.