Qaiser Chaudry
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
Papers in
-
- AI in cancer detection 12
-
- Cell Image Analysis Techniques 4
- Co-authors
- May Dongmei Wang (15 shared papers)Sonal Kothari (2 shared papers)Koon Yin Kong (4 shared papers)John A. Petros (2 shared papers)Maksym V. Yezhelyev (1 shared paper)Shuming Nie (2 shared papers)Yun Xing (2 shared papers)Ruth M O'Regan (1 shared paper)
- Journals
- IEEE Access (2 papers)Journal of Pathology Informatics (1 paper)Nature Protocols (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 858 citations
Peers
Comparison fields: 5 of 80
- Biophysics 111
- Drug Discovery 2
- Artificial Intelligence 214
- Materials Chemistry 240
- Biomaterials 54
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 443 | |
| 2 | 2009 | 106 | |
| 3 | 2021 | 103 | |
| 4 | 2011 | 79 | |
| 5 | 2016 | 23 | |
| 6 | 2007 | 21 | |
| 7 | 2006 | 18 | |
| 8 | 2008 | 16 | |
| 9 | 2017 | 13 | |
| 10 | 2009 | 12 | |
| 11 | 2010 | 12 | |
| 12 | 2009 | 10 | |
| 13 | 2012 | 8 | |
| 14 | 2016 | 8 | |
| 15 | 2008 | 7 | |
| 16 | 2017 | 7 | |
| 17 | 2009 | 4 | |
| 18 | 2014 | 2 | |
| 19 | 2006 | 1 | |
| 20 | 2007 | 1 |
About Qaiser Chaudry
Qaiser Chaudry is a scholar working on Artificial Intelligence, Biophysics, Computer Vision and Pattern Recognition, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 895 indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Cell Image Analysis Techniques (4 papers), Advanced Image and Video Retrieval Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers), Genetic factors in colorectal cancer (2 papers), Colorectal Cancer Screening and Detection (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Infrared Target Detection Methodologies (2 papers). The work is most often cited by research in Biophysics (111 citations), Drug Discovery (2 citations), Artificial Intelligence (214 citations), Materials Chemistry (240 citations) and Biomaterials (54 citations). Qaiser Chaudry has collaborated with scholars based in United States, Pakistan and United Kingdom. Frequent co-authors include May Dongmei Wang, Sonal Kothari, Koon Yin Kong, John A. Petros, Maksym V. Yezhelyev, Shuming Nie, Yun Xing, Ruth M O'Regan, Haiyen E. Zhau and Leland W.K. Chung. Their work appears in journals such as IEEE Access, Journal of Pathology Informatics, Nature Protocols, 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.