Rizwan Qureshi
Impact in
- Health Informatics top 5%
- Oral Surgery top 5%
- Endodontics and Root Canal Treatments
- Dental Radiography and Imaging
Papers in
-
- Dental Radiography and Imaging 5
- Co-authors
- Hong YanTanvir AlamJia WuMuhammad UzairKhurram KhurshidD.B. DruckerA. J. E. QualtroughHelen V Worthington
- Journals
- IEEE Access (10 papers)Expert Systems with Applications (3 papers)Scientific Reports (2 papers)Diseases of the Esophagus (2 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)
- Partner nations
- PakistanHong KongUnited States
In The Last Decade
Rizwan Qureshi
79 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Health Informatics 43
- Oral Surgery 186
- Medical Laboratory Technology 17
- Periodontics 50
- Computer Vision and Pattern Recognition 174
Countries citing papers authored by Rizwan Qureshi
This map shows the geographic impact of Rizwan Qureshi'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 Rizwan Qureshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rizwan Qureshi more than expected).
Fields of papers citing papers by Rizwan Qureshi
This network shows the impact of papers produced by Rizwan Qureshi. 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 Rizwan Qureshi. The network helps show where Rizwan Qureshi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rizwan Qureshi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 12 | |
| 6 | A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023) Hit paper breakdown → | 2024 | 95 |
| 7 | 2024 | 3 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 65 | |
| 12 | AI in drug discovery and its clinical relevance Hit paper breakdown → | 2023 | 125 |
| 13 | 2022 | 19 | |
| 14 | 2022 | 13 | |
| 15 | 2022 | 35 | |
| 16 | 2021 | 0 | |
| 17 | 2020 | 15 | |
| 18 | 2020 | 12 | |
| 19 | 2019 | 12 | |
| 20 | 2019 | 8 |
About Rizwan Qureshi
Rizwan Qureshi is a scholar working on General Dentistry, Oral Surgery, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computational Theory and Mathematics, having authored 90 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), COVID-19 diagnosis using AI (8 papers), Lung Cancer Treatments and Mutations (8 papers), Cancer therapeutics and mechanisms (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), ECG Monitoring and Analysis (5 papers), Dental Radiography and Imaging (5 papers) and IoT and Edge/Fog Computing (4 papers). The work is most often cited by research in Health Informatics (43 citations), Oral Surgery (186 citations), Medical Laboratory Technology (17 citations), Periodontics (50 citations) and Computer Vision and Pattern Recognition (174 citations). Rizwan Qureshi has collaborated with scholars based in Pakistan, Hong Kong and United States. Frequent co-authors include Hong Yan, Tanvir Alam, Jia Wu, Muhammad Uzair, Khurram Khurshid, D.B. Drucker, A. J. E. Qualtrough, Helen V Worthington, Taimoor Muzaffar Gondal and Sheheryar Khan. Their work appears in journals such as IEEE Access, Expert Systems with Applications, Scientific Reports, Diseases of the Esophagus and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.