Tauqeer Faiz
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition
- Information Systems top 10%
- Computer Networks and Communications
- Co-authors
- Muhammad Adnan KhanMunir AhmadTaher M. GhazalMuhammad Tahir NaseemShahid MehmoodMuhammad ZubairAyesha AttaGhassan F. Issa
- Topics
- Digital Imaging for Blood Diseases (2 papers)AI in cancer detection (2 papers)Network Security and Intrusion Detection (2 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingArtificial IntelligenceHealth Information Management
- Journals
- IEEE AccessComputers, materials & continua/Computers, materials & continua (Print)Computers
- Partner nations
- United Arab EmiratesPakistanMalaysia
In The Last Decade
Tauqeer Faiz
14 papers receiving 294 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 155
- Radiology, Nuclear Medicine and Imaging 126
- Computer Vision and Pattern Recognition 53
- Information Systems 45
- Computer Networks and Communications 45
Countries citing papers authored by Tauqeer Faiz
This map shows the geographic impact of Tauqeer Faiz'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 Tauqeer Faiz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tauqeer Faiz more than expected).
Fields of papers citing papers by Tauqeer Faiz
This network shows the impact of papers produced by Tauqeer Faiz. 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 Tauqeer Faiz. The network helps show where Tauqeer Faiz may publish in the future.
Co-authorship network of co-authors of Tauqeer Faiz
This figure shows the co-authorship network connecting the top 25 collaborators of Tauqeer Faiz. A scholar is included among the top collaborators of Tauqeer Faiz 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 Tauqeer Faiz. Tauqeer Faiz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 37 | |
| 8 | 20 | |
| 9 | 14 | |
| 10 | Malignancy Detection in Lung and Colon Histopathology Images Using Transfer Learning With Class Selective Image Processingbreakdown → | 168 |
| 11 | 34 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 17 | |
| 16 | 1 |
About Tauqeer Faiz
Tauqeer Faiz is a scholar working on Human-Computer Interaction, Artificial Intelligence and Computer Networks and Communications, having authored 16 papers that have together received 309 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (2 papers), AI in cancer detection (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (126 citations), Artificial Intelligence (155 citations) and Health Information Management (14 citations). Tauqeer Faiz has collaborated with scholars based in United Arab Emirates, Pakistan and Malaysia. Frequent co-authors include Muhammad Adnan Khan, Munir Ahmad, Taher M. Ghazal, Muhammad Tahir Naseem, Shahid Mehmood, Muhammad Zubair, Ayesha Atta, Ghassan F. Issa, Raed A. Said and Muhammad Asif. Their work appears in journals such as IEEE Access, Computers, materials & continua/Computers, materials & continua (Print) and Computers.
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.