Alawi Alqushaibi
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Said Jadid AbdulkadirMohammed Gamal RagabHitham AlhussianSafwan Mahmood Al-SelwiEbrahim Hamid SumieaQasem Al-TashiAmgad MuneerSeyedali Mirjalili
- Topics
- Metaheuristic Optimization Algorithms Research (6 papers)Stock Market Forecasting Methods (4 papers)Energy Load and Power Forecasting (3 papers)
- Partner nations
- MalaysiaSaudi ArabiaUnited States
In The Last Decade
Alawi Alqushaibi
27 papers receiving 691 citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 269
- Computer Vision and Pattern Recognition 126
- Electrical and Electronic Engineering 107
- Control and Systems Engineering 72
- Computational Theory and Mathematics 59
Countries citing papers authored by Alawi Alqushaibi
This map shows the geographic impact of Alawi Alqushaibi'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 Alawi Alqushaibi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alawi Alqushaibi more than expected).
Fields of papers citing papers by Alawi Alqushaibi
This network shows the impact of papers produced by Alawi Alqushaibi. 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 Alawi Alqushaibi. The network helps show where Alawi Alqushaibi may publish in the future.
Co-authorship network of co-authors of Alawi Alqushaibi
This figure shows the co-authorship network connecting the top 25 collaborators of Alawi Alqushaibi. A scholar is included among the top collaborators of Alawi Alqushaibi 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 Alawi Alqushaibi. Alawi Alqushaibi 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 | 8 | |
| 3 | 3 | |
| 4 | A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023)breakdown → | 95 |
| 5 | 3 | |
| 6 | 10 | |
| 7 | RNN-LSTM: From applications to modeling techniques and beyond—Systematic reviewbreakdown → | 144 |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 44 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 24 | |
| 15 | 9 | |
| 16 | 22 | |
| 17 | 18 | |
| 18 | 25 | |
| 19 | 108 | |
| 20 | 69 |
About Alawi Alqushaibi
Alawi Alqushaibi is a scholar working on Artificial Intelligence, General Dentistry and Management Science and Operations Research, having authored 31 papers that have together received 730 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (6 papers), Stock Market Forecasting Methods (4 papers) and Energy Load and Power Forecasting (3 papers). The work is most often cited by research in Artificial Intelligence (269 citations), Computer Vision and Pattern Recognition (126 citations) and Signal Processing (50 citations). Alawi Alqushaibi has collaborated with scholars based in Malaysia, Saudi Arabia and United States. Frequent co-authors include Said Jadid Abdulkadir, Mohammed Gamal Ragab, Hitham Alhussian, Safwan Mahmood Al-Selwi, Ebrahim Hamid Sumiea, Qasem Al-Tashi, Amgad Muneer, Seyedali Mirjalili, Helmi Md Rais and Mohd Fadzil Hassan. Their work appears in journals such as IEEE Access, Sustainability and Applied Sciences.
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.