Aqsa Saeed Qureshi
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Control and Systems Engineering
- Co-authors
- Asifullah KhanAnila UsmanAneela ZameerTeemu RoosMuhammad Hanif DuradMuhammad ArsalanMuttukrishnan Rajarajan
- Topics
- Energy Load and Power Forecasting (2 papers)Solar Radiation and Photovoltaics (2 papers)AI in cancer detection (1 paper)
- Partner nations
- PakistanUnited KingdomFinland
In The Last Decade
Aqsa Saeed Qureshi
5 papers receiving 467 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 212
- Electrical and Electronic Engineering 206
- Computer Vision and Pattern Recognition 71
- Computer Networks and Communications 57
- Control and Systems Engineering 50
Countries citing papers authored by Aqsa Saeed Qureshi
This map shows the geographic impact of Aqsa Saeed 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 Aqsa Saeed Qureshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aqsa Saeed Qureshi more than expected).
Fields of papers citing papers by Aqsa Saeed Qureshi
This network shows the impact of papers produced by Aqsa Saeed 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 Aqsa Saeed Qureshi. The network helps show where Aqsa Saeed Qureshi may publish in the future.
Co-authorship network of co-authors of Aqsa Saeed Qureshi
This figure shows the co-authorship network connecting the top 25 collaborators of Aqsa Saeed Qureshi. A scholar is included among the top collaborators of Aqsa Saeed Qureshi 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 Aqsa Saeed Qureshi. Aqsa Saeed Qureshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | 60 | |
| 3 | 22 | |
| 4 | Wind power prediction using deep neural network based meta regression and transfer learningbreakdown → | 311 |
| 5 | 45 |
About Aqsa Saeed Qureshi
Aqsa Saeed Qureshi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 5 papers that have together received 488 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (2 papers), Solar Radiation and Photovoltaics (2 papers) and AI in cancer detection (1 paper). The work is most often cited by research in Artificial Intelligence (212 citations), Energy Engineering and Power Technology (18 citations) and Signal Processing (39 citations). Aqsa Saeed Qureshi has collaborated with scholars based in Pakistan, United Kingdom and Finland. Frequent co-authors include Asifullah Khan, Anila Usman, Aneela Zameer, Teemu Roos, Muhammad Hanif Durad, Muhammad Arsalan and Muttukrishnan Rajarajan. Their work appears in journals such as Applied Soft Computing, Neural Computing and Applications and Neural Processing 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.