Farida Mohsen

584 total citations
17 papers, 316 citations indexed

About

Farida Mohsen is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Farida Mohsen has authored 17 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Farida Mohsen's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Machine Learning in Healthcare (3 papers) and AI in cancer detection (3 papers). Farida Mohsen is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Machine Learning in Healthcare (3 papers) and AI in cancer detection (3 papers). Farida Mohsen collaborates with scholars based in Qatar, China and Egypt. Farida Mohsen's co-authors include Zubair Shah, Hazrat Ali, Nady El Hajj, Uzair Shah, Noha A. Yousri, Hamada R. H. Al-Absi, Sulaiman Khan, Md. Rafiul Biswas, Jiayang Wang and Kamal Al‐Sabahi and has published in prestigious journals such as Scientific Reports, Sensors and Artificial Intelligence Review.

In The Last Decade

Farida Mohsen

16 papers receiving 303 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Farida Mohsen Qatar	7	125	99	61	52	32	17	316
Rayan Krishnan United States	3	157 1.3×	123 1.2×	64 1.0×	23 0.4×	64 2.0×	3	385
Juri Yanase United States	5	128 1.0×	111 1.1×	22 0.4×	30 0.6×	52 1.6×	10	305
Hung N. Pham Vietnam	8	145 1.2×	120 1.2×	63 1.0×	83 1.6×	57 1.8×	19	365
Niyaz Ahmad Wani India	6	129 1.0×	116 1.2×	30 0.5×	42 0.8×	28 0.9×	17	270
Sören Richard Stahlschmidt Sweden	2	119 1.0×	89 0.9×	14 0.2×	25 0.5×	33 1.0×	3	354
Deevyankar Agarwal Spain	6	182 1.5×	185 1.9×	37 0.6×	24 0.5×	81 2.5×	10	413
Soroosh Tayebi Arasteh Germany	10	185 1.5×	217 2.2×	86 1.4×	19 0.4×	84 2.6×	25	455
Khansa Rasheed Pakistan	4	96 0.8×	38 0.4×	37 0.6×	33 0.6×	14 0.4×	4	287
Yazan Al-Issa Jordan	7	130 1.0×	85 0.9×	12 0.2×	18 0.3×	21 0.7×	13	301
Mohan Bhandari Nepal	9	138 1.1×	133 1.3×	44 0.7×	26 0.5×	80 2.5×	16	366

Countries citing papers authored by Farida Mohsen

Since Specialization

Citations

This map shows the geographic impact of Farida Mohsen'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 Farida Mohsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farida Mohsen more than expected).

Fields of papers citing papers by Farida Mohsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Farida Mohsen. 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 Farida Mohsen. The network helps show where Farida Mohsen may publish in the future.

Co-authorship network of co-authors of Farida Mohsen

This figure shows the co-authorship network connecting the top 25 collaborators of Farida Mohsen. A scholar is included among the top collaborators of Farida Mohsen 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 Farida Mohsen. Farida Mohsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Mohsen, Farida, et al.. (2025). ECG features improve multimodal deep learning prediction of incident T2DM in a Middle Eastern cohort. Scientific Reports. 15(1). 27164–27164. 1 indexed citations

Mohsen, Farida, Samir Brahim Belhaouari, & Zubair Shah. (2025). Integrating non-linear radon transformation for diabetic retinopathy grading. Scientific Reports. 15(1). 30706–30706.

Khan, Sulaiman, Farida Mohsen, & Zubair Shah. (2024). Genetic biomarkers and machine learning techniques for predicting diabetes: systematic review. Artificial Intelligence Review. 58(2). 5 indexed citations

Mohsen, Farida, et al.. (2024). Introducing Novel Radon Based Transform for Disease Detection From Chest X-Ray Images. 1–5. 1 indexed citations

Shah, Uzair, Mahmood Alzubaidi, Farida Mohsen, Tanvir Alam, & Mowafa Househ. (2024). Ensemble-based feature engineering mechanism to decode imagined speech from brain signals. Informatics in Medicine Unlocked. 47. 101491–101491. 3 indexed citations

Mohsen, Farida, Hamada R. H. Al-Absi, Noha A. Yousri, Nady El Hajj, & Zubair Shah. (2023). A scoping review of artificial intelligence-based methods for diabetes risk prediction. npj Digital Medicine. 6(1). 197–197. 46 indexed citations

Biswas, Md. Rafiul, Farida Mohsen, Zubair Shah, & Wajdi Zaghouani. (2023). Potentials of ChatGPT for Annotating Vaccine Related Tweets. 3. 1–6. 1 indexed citations

Ali, Hazrat, Farida Mohsen, & Zubair Shah. (2023). Improving diagnosis and prognosis of lung cancer using vision transformers: A scoping review. arXiv (Cornell University). 1 indexed citations

Ali, Hazrat, Farida Mohsen, & Zubair Shah. (2023). Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review. BMC Medical Imaging. 23(1). 129–129. 29 indexed citations

10.

Mohsen, Farida, et al.. (2023). Artificial Intelligence-Based Methods for Precision Cardiovascular Medicine. Journal of Personalized Medicine. 13(8). 1268–1268. 32 indexed citations

11.

Ali, Hazrat, et al.. (2022). The role of generative adversarial networks in brain MRI: a scoping review. Insights into Imaging. 13(1). 98–98. 50 indexed citations

12.

Ali, Hazrat, et al.. (2022). Correction: The role of generative adversarial networks in brain MRI: a scoping review. Insights into Imaging. 13(1). 125–125. 2 indexed citations

13.

Mohsen, Farida, Hazrat Ali, Nady El Hajj, & Zubair Shah. (2022). Artificial intelligence-based methods for fusion of electronic health records and imaging data. Scientific Reports. 12(1). 17981–17981. 100 indexed citations

14.

Mohsen, Farida, Md. Rafiul Biswas, Hazrat Ali, et al.. (2022). Customized and Automated Machine Learning-Based Models for Diabetes Type 2 Classification. Studies in health technology and informatics. 295. 517–520. 2 indexed citations

15.

Shah, Uzair, Mahmood Alzubaidi, Farida Mohsen, et al.. (2022). The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review. Sensors. 22(18). 6975–6975. 18 indexed citations

16.

Yu, Lasheng, et al.. (2021). Variational autoencoder Bayesian matrix factorization (VABMF) for collaborative filtering. Applied Intelligence. 51(7). 5132–5145. 6 indexed citations

17.

Mohsen, Farida, Jiayang Wang, & Kamal Al‐Sabahi. (2020). A hierarchical self-attentive neural extractive summarizer via reinforcement learning (HSASRL). Applied Intelligence. 50(9). 2633–2646. 19 indexed citations

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.

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