OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A Novel Smart Belt for Anxiety Detection, Classification, and Reduction Using IIoMT on Students’ Cardiac Signal and MSY
Rishi Pal, Deepak Adhikari, Md Belal Bin Heyat, et al.
Bioengineering (2022) Vol. 9, Iss. 12, pp. 793-793
Open Access | Times Cited: 18

Showing 18 citing articles:

Intelligent Internet of Medical Things for Depression: Current Advancements, Challenges, and Trends
Md Belal Bin Heyat, Deepak Adhikari, Faijan Akhtar, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access | Times Cited: 1

Yoga Meets Intelligent Internet of Things: Recent Challenges and Future Directions
Rishi Pal, Deepak Adhikari, Md Belal Bin Heyat, et al.
Bioengineering (2023) Vol. 10, Iss. 4, pp. 459-459
Open Access | Times Cited: 31

Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies
Faijan Akhtar, Md Belal Bin Heyat, Arshiya Sultana, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 6
Closed Access | Times Cited: 7

Intervenções psicossociais para a promoção da saúde mental de estudantes do ensino superior: uma revisão sistemática de literatura
Esther de Matos Ireno Marques, Luma Leitão Francklin, Maíra Aparecida dos Santos, et al.
Caderno Pedagógico (2025) Vol. 22, Iss. 4, pp. e14443-e14443
Closed Access

Internet of Things in Healthcare Research: Trends, Innovations, Security Considerations, Challenges and Future Strategy
Attique Ur Rehman, Songfeng Lu, Md Belal Bin Heyat, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access

A deep learning-based approach for distinguishing different stress levels of human brain using EEG and pulse rate
Prithwijit Mukherjee, Anisha Halder Roy
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 27, Iss. 16, pp. 2303-2324
Closed Access | Times Cited: 11

A Hybrid Stacked Restricted Boltzmann Machine with Sobel Directional Patterns for Melanoma Prediction in Colored Skin Images
A. Sherly Alphonse, J. V. Bibal Benifa, Abdullah Y. Muaad, et al.
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1104-1104
Open Access | Times Cited: 7

Artificial Intelligence for Personalized Genetics and New Drug Development: Benefits and Cautions
Crescenzio Gallo
Bioengineering (2023) Vol. 10, Iss. 5, pp. 613-613
Open Access | Times Cited: 5

Urban Growth Forecast Using Machine Learning Algorithms and GIS-Based Novel Techniques: A Case Study Focusing on Nasiriyah City, Southern Iraq
Sadeq Khaleefah Hanoon, Ahmad Fikri Abdullah, Helmi Zulhaidi Mohd Shafri, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 2, pp. 76-76
Open Access | Times Cited: 3

Unveiling the Efficacy of Unani Medicine in Female Disorders Through Machine Learning: Current Challenges and Opportunities
Arshiya Sultana, Faijan Akhtar, Md Belal Bin Heyat, et al.
2021 18th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) (2023) Vol. 15, pp. 1-6
Closed Access | Times Cited: 2

Self-Supervised Contrastive Learning for Automated Segmentation of Brain Tumor MRI Images in Schizophrenia
Lingmiao Meng, Zhao Li-wei, Xin Yi, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access

Advancements in Biomedical and Bioengineering Technologies in Sports Monitoring and Healthcare
Yaodong Gu, Justin Fernandez
Bioengineering (2024) Vol. 11, Iss. 8, pp. 816-816
Open Access

Multi-source domain adaptation for EEG emotion recognition based on inter-domain sample hybridization
Xu Wu, Xiangyu Ju, Sheng Dai, et al.
Frontiers in Human Neuroscience (2024) Vol. 18
Open Access

How do machine learning models perform in the detection of depression, anxiety, and stress among undergraduate students? A systematic review
Bruno Luis Schaab, Prisla Ücker Calvetti, Sofia Hoffmann, et al.
Cadernos de Saúde Pública (2024) Vol. 40, Iss. 11
Open Access

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