Waqas Jadoon
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Ophthalmology top 2%
- Health Information Management top 1%
- Computer Networks and Communications top 10%
- Co-authors
- Iftikhar Ahmed KhanAhmad KhanZia ur RehmanSajid ShahFiaz Gul KhanShahaboddin ShamshirbandYi ZhangLei Zhang
- Topics
- Face and Expression Recognition (8 papers)Sparse and Compressive Sensing Techniques (5 papers)Face recognition and analysis (4 papers)
- Partner nations
- PakistanChinaSaudi Arabia
In The Last Decade
Waqas Jadoon
27 papers receiving 645 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Radiology, Nuclear Medicine and Imaging 361
- Computer Vision and Pattern Recognition 293
- Ophthalmology 194
- Health Information Management 154
- Computer Networks and Communications 116
Countries citing papers authored by Waqas Jadoon
This map shows the geographic impact of Waqas Jadoon'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 Waqas Jadoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Waqas Jadoon more than expected).
Fields of papers citing papers by Waqas Jadoon
This network shows the impact of papers produced by Waqas Jadoon. 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 Waqas Jadoon. The network helps show where Waqas Jadoon may publish in the future.
Co-authorship network of co-authors of Waqas Jadoon
This figure shows the co-authorship network connecting the top 25 collaborators of Waqas Jadoon. A scholar is included among the top collaborators of Waqas Jadoon 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 Waqas Jadoon. Waqas Jadoon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 16 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 10 | |
| 7 | 43 | |
| 8 | 4 | |
| 9 | A Deep Learning Ensemble Approach for Diabetic Retinopathy Detectionbreakdown → | 399 |
| 10 | 12 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 24 | |
| 14 | 2 | |
| 15 | 15 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | 0 |
About Waqas Jadoon
Waqas Jadoon is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Networks and Communications, having authored 28 papers that have together received 689 indexed citations. Recurring topics across this work include Face and Expression Recognition (8 papers), Sparse and Compressive Sensing Techniques (5 papers) and Face recognition and analysis (4 papers). The work is most often cited by research in Health Information Management (154 citations), Ophthalmology (194 citations) and Radiology, Nuclear Medicine and Imaging (361 citations). Waqas Jadoon has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Iftikhar Ahmed Khan, Ahmad Khan, Zia ur Rehman, Sajid Shah, Fiaz Gul Khan, Shahaboddin Shamshirband, Yi Zhang, Lei Zhang, Wuyang Zhou and Muhammad Amir Khan. Their work appears in journals such as PLoS ONE, IEEE Access and Pattern Recognition Letters.
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.