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:

Investigating the Feasibility of Assessing Depression Severity and Valence-Arousal with Wearable Sensors Using Discrete Wavelet Transforms and Machine Learning
Abdullah Ahmed, Jayroop Ramesh, Sandipan Ganguly, et al.
Information (2022) Vol. 13, Iss. 9, pp. 406-406
Open Access | Times Cited: 14

Showing 14 citing articles:

Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression
Alaa Abd‐Alrazaq, Rawan AlSaad, Farag Shuweihdi, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 46

Digital phenotyping for mental health based on data analytics: A systematic literature review
Wesllei Felipe Heckler, Luan Paris Feijó, Juliano Varella de Carvalho, et al.
Artificial Intelligence in Medicine (2025) Vol. 163, pp. 103094-103094
Closed Access

Applying AI in the Context of the Association Between Device-Based Assessment of Physical Activity and Mental Health: Systematic Review
Simon Woll, Dennis Birkenmaier, Gergely Biri, et al.
JMIR mhealth and uhealth (2025) Vol. 13, pp. e59660-e59660
Open Access

Evaluating Multimodal Wearable Sensors for Quantifying Affective States and Depression With Neural Networks
Abdullah Ahmed, Jayroop Ramesh, Sandipan Ganguly, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 19, pp. 22788-22802
Open Access | Times Cited: 10

Machine learning applied to digital phenotyping: A systematic literature review and taxonomy
Marília Pit dos Santos, Wesllei Felipe Heckler, Rodrigo Simon Bavaresco, et al.
Computers in Human Behavior (2024) Vol. 161, pp. 108422-108422
Closed Access | Times Cited: 3

Leveraging Machine Learning for Disease Diagnoses Based on Wearable Devices: A Survey
Zhihan Jiang, Vera van Zoest, Weipeng Deng, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 24, pp. 21959-21981
Closed Access | Times Cited: 7

Wearable Signal Fusion through Deep Learning: Discriminating Affective States Levels in the Wild among Healthy and Depressed
Cristina Gallego Vázquez, Corinne Eicher, Reto Huber, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1

Wavelet Transformation Algorithm for Low Energy Data Aggregation
Gaurav Kumar Rajput, Murugan Ramalingam, Rajneesh Tyagi
(2024), pp. 1-7
Closed Access

Examining the Effects of Static Personality Traits with Dynamic Affective and Emotional States on Depression Severity
Abdullah Ahmed, Jayroop Ramesh, Sandipan Ganguly, et al.
Lecture notes in networks and systems (2024), pp. 491-497
Closed Access

Emerging Machine Learning in Wearable Healthcare Sensors
Gandha Satria Adi, Inkyu Park
Journal of Sensor Science and Technology (2023) Vol. 32, Iss. 6, pp. 378-385
Open Access | Times Cited: 1

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