Waqar Ali
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Signal Processing top 10%
- Computer Networks and Communications
- Topics
- Recommender Systems and Techniques (9 papers)Privacy-Preserving Technologies in Data (6 papers)Advanced Graph Neural Networks (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessFrontiers in Microbiology
In The Last Decade
Waqar Ali
30 papers receiving 426 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 179
- Computer Vision and Pattern Recognition 151
- Information Systems 92
- Signal Processing 61
- Computer Networks and Communications 35
Countries citing papers authored by Waqar Ali
This map shows the geographic impact of Waqar Ali'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 Waqar Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Waqar Ali more than expected).
Fields of papers citing papers by Waqar Ali
This network shows the impact of papers produced by Waqar Ali. 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 Waqar Ali. The network helps show where Waqar Ali may publish in the future.
Co-authorship network of co-authors of Waqar Ali
This figure shows the co-authorship network connecting the top 25 collaborators of Waqar Ali. A scholar is included among the top collaborators of Waqar Ali 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 Waqar Ali. Waqar Ali 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 | 1 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 11 | |
| 11 | 7 | |
| 12 | 14 | |
| 13 | 34 | |
| 14 | Undergraduate students' perception and satisfaction regarding online learning system amidst COVID-19 Pandemic in Pakistan. | 27 |
| 15 | 0 | |
| 16 | 5 | |
| 17 | 12 | |
| 18 | 20 | |
| 19 | 11 | |
| 20 | PREVALENCE AND ASSOCIATED RISK FACTORS OF UNDER NUTRITION AMONG CHILDREN AGED 6 TO 59 MONTHS IN INTERNALLY DISPLACED PERSONS OF JALOZAI CAMP, DISTRICT NOWSHERA, KHYBER PAKHTUNKHWA. | 14 |
About Waqar Ali
Waqar Ali is a scholar working on Health Informatics, Information Systems and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 442 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (9 papers), Privacy-Preserving Technologies in Data (6 papers) and Advanced Graph Neural Networks (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (151 citations), Signal Processing (61 citations) and Artificial Intelligence (179 citations). Waqar Ali has collaborated with scholars based in China, Pakistan and Australia. Frequent co-authors include Jie Shao, Salah Ud Din, Abdullah Aman Khan, Wenhong Tian, Junming Shao, Jay Kumar, Yu Ye, Jiaming Liu, Rajesh Kumar and Xiangmin Zhou. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Frontiers in Microbiology.
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.