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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Heyat, M. B. B., Adhikari, D., Akhtar, F., Parveen, S., Zeeshan, H. M., Ullah, H., Chen, Y.-H., Wang, L., & Sawan, M. (2025). Intelligent internet of medical things for depression: current advancements, challenges, and trends. International Journal of Intelligent Systems, 2025, 6801530 (35 pages). Available
Belal Bin Heyat, M., Akhtar, F., Munir, F., Sultana, A., Y. Muaad, A., Gul, I., Sawan, M., Asghar, W., Muhammad Zeeshan Iqbal, S., Amin Baig, A., de la Torre Díez, I., & Wu, K. (2024). Unravelling the complexities of depression with medical intelligence: exploring the interplay of genetics, hormones, and brain function. Complex & Intelligent Systems, 10(4), 5883-5915. Available
Akhtar, F., Belal Bin Heyat, M., Sultana, A., Parveen, S., Muhammad Zeeshan, H., Fathima Merlin, S., Shen, B., Pomary, D., Li, J., & Sawan, M. (2024). Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies [Discussion or Letter]. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, 14(6), 35 pages. External link
Shahid Iqbal, M., Belal Bin Heyat, M., Parveen, S., Ammar Bin Hayat, M., Roshanzamir, M., Alizadehsani, R., Akhtar, F., Sayeed, E., Hussain, S., S. Hussein, H., & Sawan, M. (2024). Progress and trends in neurological disorders research based on deep learning [Discussion or Letter]. Computerized Medical Imaging and Graphics, 116, 102400 (24 pages). External link
Rehman, A. U., Lu, S., Bin Heyat, M. B., Iqbal, M. S., Parveen, S., Bin Hayat, M. A., Akhtar, F., Ashraf, M. A., Khan, O., Pomary, D., & Sawan, M. (2025). Internet of Things in healthcare research: trends, innovations, security considerations, challenges and future strategy. International Journal of Intelligent Systems, 2025, 546245 (53 pages). Available
