Asma Salhi
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
- Surgery 10
- Shoulder Injury and Treatment 8
- Hip disorders and treatments 2
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- Advanced X-ray and CT Imaging 2
- Medical Imaging and Analysis 2
- Muscle activation and electromyography studies 2
- Co-authors
- Yuantong Gu (5 shared papers)Mohammed A. Fadhel (4 shared papers)Laith Alzubaidi (5 shared papers)A. S. Albahri (3 shared papers)José Santamaría (3 shared papers)Jinshuai Bai (2 shared papers)Chun Ouyang (2 shared papers)Ashish Gupta (3 shared papers)
In The Last Decade
Asma Salhi
12 papers receiving 472 citations
Asma Salhi's Hit Papers
Peers
Comparison fields: 5 of 96
- Health Informatics 119
- Health Information Management 31
- Artificial Intelligence 176
- Safety Research 22
- Radiology, Nuclear Medicine and Imaging 53
Countries citing papers authored by Asma Salhi
This map shows the geographic impact of Asma Salhi'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 Asma Salhi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asma Salhi more than expected).
Fields of papers citing papers by Asma Salhi
This network shows the impact of papers produced by Asma Salhi. 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 Asma Salhi. The network helps show where Asma Salhi may publish in the future.
Co-authors
The 25 scholars most cited alongside Asma Salhi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion Hit paper breakdown → | 2023 | 396 |
| 2 | 2019 | 25 | |
| 3 | 2024 | 21 | |
| 4 | 2024 | 12 | |
| 5 | 2017 | 9 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 5 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2020 | 2 | |
| 12 | 2020 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2023 | 0 | |
| 15 | 2024 | 0 |
About Asma Salhi
Asma Salhi is a scholar working on Surgery, Biomedical Engineering, Epidemiology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 15 papers that have together received 488 indexed citations. Recurring topics across this work include Shoulder Injury and Treatment (8 papers), Shoulder and Clavicle Injuries (3 papers), COVID-19 diagnosis using AI (3 papers), Advanced X-ray and CT Imaging (2 papers), Hip disorders and treatments (2 papers), Medical Imaging and Analysis (2 papers), Muscle activation and electromyography studies (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Health Informatics (119 citations), Health Information Management (31 citations), Artificial Intelligence (176 citations), Safety Research (22 citations) and Radiology, Nuclear Medicine and Imaging (53 citations). Asma Salhi has collaborated with scholars based in Australia, France and Spain. Frequent co-authors include Yuantong Gu, Mohammed A. Fadhel, Laith Alzubaidi, A. S. Albahri, José Santamaría, Jinshuai Bai, Chun Ouyang, Ashish Gupta, O. S. Albahri and Muhammet Deveci. Their work appears in journals such as Journal of Shoulder and Elbow Surgery, Annals of Biomedical Engineering, Journal of Biomechanical Engineering, PLoS ONE and Information Fusion.
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.