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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:

Investigation of physical activity, sleep, and mental health recovery in treatment resistant depression (TRD) patients receiving repetitive transcranial magnetic stimulation (rTMS) treatment
Chris Griffiths, Ksenija Maravic da Silva, Chloe Leathlean, et al.
Journal of Affective Disorders Reports (2022) Vol. 8, pp. 100337-100337
Open Access | Times Cited: 16

Showing 16 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
Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review
Alaa Abd‐Alrazaq, Rawan AlSaad, Sarah Aziz, et al.
Journal of Medical Internet Research (2022) Vol. 25, pp. e42672-e42672
Open Access | Times Cited: 54
An Update on the Use of Neuromodulation Strategies in the Treatment of Schizophrenia
Nicholas H. Neufeld, Daniel M. Blumberger
American Journal of Psychiatry (2025) Vol. 182, Iss. 4, pp. 332-340
Closed Access | Times Cited: 1
Wearable technologies for health research: Opportunities, limitations, and practical and conceptual considerations
Lydia G. Roos, George M. Slavich
Brain Behavior and Immunity (2023) Vol. 113, pp. 444-452
Open Access | Times Cited: 21
Advances in repetitive transcranial magnetic stimulation in the treatment of treatment-resistant depression: a comprehensive review
Hui Xing, Xiaolei Liu, Yingying Zhang, et al.
Reviews in the Neurosciences (2025)
Closed Access
Development and Feasibility Study of HOPE Model for Prediction of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study
Shayan Nejadshamsi, Vania Karami, Negar Ghourchian, et al.
JMIR Aging (2025) Vol. 8, pp. e67715-e67715
Open Access
“Flow” Transcranial Direct Current Stimulation (tDCS) for Depression Treatment in a Primary Healthcare General Practice—Depression, Functioning, and Health-Related Quality of Life Outcomes
Chris Griffiths, Ksenija Maravic da Silva, Harmony Jiang, et al.
Open Journal of Depression (2024) Vol. 13, Iss. 02, pp. 25-39
Open Access | Times Cited: 2
“Flow” Transcranial Direct Current Stimulation (tDCS) for Depression Treatment in a Primary Healthcare General Practice—An Open-Label Cohort Study Measuring Montgomery-Åsberg Depression Rating Scale (MADRS-S) Outcomes
Chris Griffiths, Harmony Jiang, David Smart, et al.
Open Journal of Psychiatry (2024) Vol. 14, Iss. 04, pp. 386-399
Open Access | Times Cited: 2
Fermented goat milk by selenium‐enriched Lactobacillus paracasei alleviates depressive psychological disturbance
Yuhan Sun, Hongfan Zhao, Mengjia Chang, et al.
Journal of Food Science (2024) Vol. 89, Iss. 7, pp. 4480-4492
Closed Access | Times Cited: 1
Prophylactic effects of Tibetan goat kefir on depression‐like behaviors in chronic unpredictable stress model through the gut–brain axis
Yuhan Sun, Hongfan Zhao, Mengjia Chang, et al.
Journal of the Science of Food and Agriculture (2024) Vol. 105, Iss. 1, pp. 266-275
Closed Access | Times Cited: 1
The Effect of Transcranial Electrical Stimulation on the Recovery of Sleep Quality after Sleep Deprivation Based on an EEG Analysis
Yuhan Wang, Qiongfang Cao, Changyou Wei, et al.
Brain Sciences (2023) Vol. 13, Iss. 6, pp. 933-933
Open Access | Times Cited: 3
“Active Feedback” Fitbit-Based Physical Activity and Sleep Hygiene Intervention for Memory Assessment Service (MAS) Patients with Cognitive Deficits: Feasibility, Acceptability, Sleep Quality, Stress, and Wellbeing Outcomes
C.E.M. Griffiths, Farah Hina, Chee Siang Ang, et al.
Advances in Aging Research (2024) Vol. 13, Iss. 04, pp. 61-74
Open Access
Using Wearable Technology to Detect, Monitor, and Predict Major Depressive Disorder—A Scoping Review and Introductory Text for Clinical Professionals
Quinty Walschots, Milan Zarchev, Maurits Unkel, et al.
Algorithms (2024) Vol. 17, Iss. 9, pp. 408-408
Open Access
Development and Feasibility Study of HOPE Model for Prediction of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study (Preprint)
Shayan Nejadshamsi, Vania Karami, Negar Ghourchian, et al.
(2024)
Closed Access
Editorial for advances in human-centred dementia technology
Chee Siang Ang, Panote Siriaraya, Luma Tabbaa, et al.
International Journal of Human-Computer Studies (2022) Vol. 170, pp. 102964-102964
Open Access | Times Cited: 1
THE EMERGING ROLE OF REPETITIVE TRANSCRANIAL MAGNETIC STIMULATION IN TREATING THE MENTAL CONDITION
Amima Salam
Journal of Pakistan Psychiatric Society (2022) Vol. 19, Iss. 04, pp. 37-41
Open Access
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