Khaled Rasheed
Impact in
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- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research
- Domain Adaptation and Few-Shot Learning
Papers in
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- Metaheuristic Optimization Algorithms Research 14
- Domain Adaptation and Few-Shot Learning 5
- Machine Learning and Data Classification 2
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- Context-Aware Activity Recognition Systems 5
- Co-authors
- Hamid Reza Arabnia (18 shared papers)Mohammadreza Iman (4 shared papers)Bo Qian (2 shared papers)Sahar Voghoei (1 shared paper)Haym Hirsh (4 shared papers)Qi Liu (1 shared paper)Dongsheng Che (1 shared paper)Andrew Gelsey (4 shared papers)
- Journals
- BMC Bioinformatics (2 papers)Applied Intelligence (2 papers)IEEE Access (2 papers)Poultry Science (2 papers)eLife (1 paper)
- Partner nations
- United StatesIranCanada
In The Last Decade
Khaled Rasheed
92 papers receiving 2.6k citations
Khaled Rasheed's Hit Papers
Peers
Comparison fields: 5 of 123
- Computational Theory and Mathematics 205
- Artificial Intelligence 438
- Management Science and Operations Research 155
- Computer Vision and Pattern Recognition 219
- Computational Mechanics 101
Countries citing papers authored by Khaled Rasheed
This map shows the geographic impact of Khaled Rasheed'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 Khaled Rasheed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khaled Rasheed more than expected).
Fields of papers citing papers by Khaled Rasheed
This network shows the impact of papers produced by Khaled Rasheed. 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 Khaled Rasheed. The network helps show where Khaled Rasheed may publish in the future.
Co-authors
The 25 scholars most cited alongside Khaled Rasheed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Review of Deep Transfer Learning and Recent Advancements Hit paper breakdown → | 2023 | 443 |
| 2 | A Brief Review of Domain Adaptation Hit paper breakdown → | 2021 | 415 |
| 3 | 2006 | 188 | |
| 4 | 2011 | 176 | |
| 5 | 1997 | 81 | |
| 6 | 2020 | 79 | |
| 7 | 2010 | 77 | |
| 8 | 2020 | 70 | |
| 9 | 2003 | 69 | |
| 10 | 2005 | 63 | |
| 11 | 1998 | 60 | |
| 12 | 2020 | 55 | |
| 13 | Informed operators: speeding up genetic-algorithm-based design optimization using reduced models | 2000 | 51 |
| 14 | 1997 | 43 | |
| 15 | 2005 | 38 | |
| 16 | 2021 | 38 | |
| 17 | 2008 | 37 | |
| 18 | 2017 | 34 | |
| 19 | 2004 | 32 | |
| 20 | 2003 | 29 |
About Khaled Rasheed
Khaled Rasheed is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Management Science and Operations Research and Computational Theory and Mathematics, having authored 101 papers that have together received 2.7k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (14 papers), Computational Fluid Dynamics and Aerodynamics (7 papers), Smart Agriculture and AI (7 papers), Context-Aware Activity Recognition Systems (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Advanced Multi-Objective Optimization Algorithms (3 papers), Stock Market Forecasting Methods (3 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Computational Theory and Mathematics (205 citations), Artificial Intelligence (438 citations), Management Science and Operations Research (155 citations), Computer Vision and Pattern Recognition (219 citations) and Computational Mechanics (101 citations). Khaled Rasheed has collaborated with scholars based in United States, Iran and Canada. Frequent co-authors include Hamid Reza Arabnia, Mohammadreza Iman, Bo Qian, Sahar Voghoei, Haym Hirsh, Qi Liu, Dongsheng Che, Andrew Gelsey, DOYLE D. KNIGHT and Deepti Chafekar. Their work appears in journals such as BMC Bioinformatics, Applied Intelligence, IEEE Access, Poultry Science and eLife.
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.