Mohammed Hassan

923 total citations
51 papers, 658 citations indexed

About

Mohammed Hassan is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohammed Hassan has authored 51 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 15 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohammed Hassan's work include Recommender Systems and Techniques (15 papers), AI in cancer detection (6 papers) and Artificial Intelligence in Healthcare (5 papers). Mohammed Hassan is often cited by papers focused on Recommender Systems and Techniques (15 papers), AI in cancer detection (6 papers) and Artificial Intelligence in Healthcare (5 papers). Mohammed Hassan collaborates with scholars based in Nigeria, Japan and Malaysia. Mohammed Hassan's co-authors include Mohamed Hamada, Abubakar Ibrahim Jatau, Farouq Aliyu, Zeynep Ateş‐Alagöz, Nkiruka Odu, Khamsah Suryati Mohd, Saravanan Dharmaraj, Rajesh Prasad, Yutaka Watanobe and Godpower Chinedu Michael and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and Toxicon.

In The Last Decade

Mohammed Hassan

49 papers receiving 622 citations

Peers

Mohammed Hassan

CVPR

HIM

Isra Al-Turaiki Saudi Arabia

Antonio Bahamonde Spain

Oscar Luaces Spain

Marco Moreno-Ibarra Mexico

Lucy Lu Wang United States

Sana Ullah Khan Pakistan

Daniel Berrar Japan

José Ramón Quevedo Spain

Sergio A. Álvarez United States

Md. Mijanur Rahman Bangladesh

Isra Al-Turaiki Saudi Arabia

Mohammed Hassan

314 ×1.2

103 ×0.5

151 ×1.3

CVPR

65 ×1.0

HIM

63 ×1.2

Citations per year, relative to Mohammed Hassan Mohammed Hassan (= 1×) peers Isra Al-Turaiki

Countries citing papers authored by Mohammed Hassan

Since Specialization

Citations

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

Fields of papers citing papers by Mohammed Hassan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Hassan

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

All Works

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20 of 20 papers shown

Hamada, Mohamed, et al.. (2024). A regularized CNN approach for detecting cervical cancer. AIP conference proceedings. 3220. 30002–30002.

Hassan, Mohammed, et al.. (2024). Green-Synthesised Silver Nanoparticles from Pandan Extract: Enhancing PPE Effectiveness and Sustainability in the Post-COVID Era. Journal of Cluster Science. 35(8). 2663–2680. 2 indexed citations

Wada, Abubakar Sadiq, et al.. (2023). The use of Traditional Medicines for Sexual Enhancement in Northern Nigeria. Journal of Community Health. 48(4). 670–677. 2 indexed citations

Mohammed, Mustapha, Marzuq A. Ungogo, Mohammed Hassan, et al.. (2023). Pre-clinical efficacy of African medicinal plants used in the treatment of snakebite envenoming: A systematic review. Toxicon. 224. 107035–107035. 2 indexed citations

Hassan, Mohammed, et al.. (2022). Low-Power Deep Learning Model for Plant Disease Detection for Smart-Hydroponics Using Knowledge Distillation Techniques. Journal of Low Power Electronics and Applications. 12(2). 24–24. 18 indexed citations

Hamada, Mohamed, et al.. (2022). State-of-the-Art Survey on Deep Learning-Based Recommender Systems for E-Learning. Applied Sciences. 12(23). 11996–11996. 15 indexed citations

Hamada, Mohamed, et al.. (2022). A Machine Learning Method for Classification of Cervical Cancer. Electronics. 11(3). 463–463. 69 indexed citations

Hassan, Mohammed, et al.. (2022). An LDA–SVM Machine Learning Model for Breast Cancer Classification. BioMedInformatics. 2(3). 345–358. 40 indexed citations

Hamada, Mohamed, et al.. (2021). Evaluation of Recursive Feature Elimination and LASSO Regularization-based optimized feature selection approaches for cervical cancer prediction. 333–339. 16 indexed citations

10.

Jatau, Abubakar Ibrahim, Ismaeel Yunusa, Mustapha Mohammed, et al.. (2020). Development and validation of antisnake venom knowledge assessment tool (AKAT) for healthcare practitioners. SHILAP Revista de lepidopterología. 8. 100064–100064. 7 indexed citations

11.

Haruna, Khalid, et al.. (2020). Research paper recommender system based on public contextual metadata. Scientometrics. 125(1). 101–114. 16 indexed citations

12.

Hassan, Mohammed, et al.. (2018). Isolation and identification of bacterial pathogens on the surfaces of gate passes from Umaru Musa Yar’adua University main gate. International Journal of Medical and Health Research. 4(7). 62–66.

13.

Hassan, Mohammed, et al.. (2018). An overview of the hepatoprotective potentials of Phyllanthus amarus. Journal of Pharmacognosy and Phytochemistry. 7(2). 2777–2782. 3 indexed citations

14.

Hamada, Mohamed & Mohammed Hassan. (2018). Artificial Neural Networks and Particle Swarm Optimization Algorithms for Preference Prediction in Multi-Criteria Recommender Systems. Informatics. 5(2). 25–25. 27 indexed citations

15.

Hamada, Mohamed, Nkiruka Odu, & Mohammed Hassan. (2018). A Fuzzy-Based Approach for Modelling Preferences of Users in Multi-Criteria Recommender Systems. 87–94. 12 indexed citations

16.

Hassan, Mohammed & Mohamed Hamada. (2017). Performance analysis of neural networks-based multi-criteria recommender systems. 22. 490–494. 3 indexed citations

17.

Hassan, Mohammed & Mohamed Hamada. (2017). A Computational Model for Improving the Accuracy of Multi-criteria Recommender Systems. 2. 114–119. 5 indexed citations

18.

Hassan, Mohammed, et al.. (2016). Hepcidin TH1-5 Induces Apoptosis and Activate Caspase-9 in MCF-7 Cells. Journal of Applied Pharmaceutical Science. 81–86. 5 indexed citations

19.

Hassan, Mohammed & Mohamed Hamada. (2016). Recommending Learning Peers for Collaborative Learning through Social Network Sites. 60–63. 19 indexed citations

20.

Mohd, Khamsah Suryati, et al.. (2015). A REVIEW OF POTENTIAL ANTICANCERS FROM ANTIMICROBIAL PEPTIDES. International Journal of Pharmacy and Pharmaceutical Sciences. 7(4). 19–26. 7 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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