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:
Objectively determined physical activity and adiposity measures in adult women: A systematic review and meta-analysis
Yining Lu, Huw Wiltshire, Julien S. Baker, et al.
Frontiers in Physiology (2022) Vol. 13
Open Access | Times Cited: 6
Yining Lu, Huw Wiltshire, Julien S. Baker, et al.
Frontiers in Physiology (2022) Vol. 13
Open Access | Times Cited: 6
Showing 6 citing articles:
The effect of Tabata-style functional high-intensity interval training on cardiometabolic health and physical activity in female university students
Yining Lu, Huw Wiltshire, Julien S. Baker, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 22
Yining Lu, Huw Wiltshire, Julien S. Baker, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 22
The Physical Activities in Obesity
Hidetaka Hamasaki
Obesity (2024), pp. 169-184
Closed Access | Times Cited: 1
Hidetaka Hamasaki
Obesity (2024), pp. 169-184
Closed Access | Times Cited: 1
Clustering temporal step-counting patterns for 24 hours with machine learning revealed potential heterogeneity in the categorization by a traditional tertile procedure
Saida Salima Nawrin, Hitoshi Inada, Haruki Momma, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Saida Salima Nawrin, Hitoshi Inada, Haruki Momma, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Examining physical activity clustering using machine learning revealed a diversity of 24-hour step-counting patterns
Saida Salima Nawrin, Hitoshi Inada, Haruki Momma, et al.
Journal of Activity Sedentary and Sleep Behaviors (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 1
Saida Salima Nawrin, Hitoshi Inada, Haruki Momma, et al.
Journal of Activity Sedentary and Sleep Behaviors (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 1
Clustering temporal step-counting patterns for 24 hours with machine learning revealed potential heterogeneity in the categorization by a traditional tertile procedure
Saida Salima Nawrin, Hitoshi Inada, Haruki Momma, et al.
Research Square (Research Square) (2024)
Open Access
Saida Salima Nawrin, Hitoshi Inada, Haruki Momma, et al.
Research Square (Research Square) (2024)
Open Access
Understanding Patients’ Symptoms Management Using Objective and Subjective Indicators among Patients with Systemic Lupus Erythematosus
Kiyoko Makimoto, Kazuko Shiozawa, Yoshihito Shima, et al.
Open Journal of Nursing (2023) Vol. 13, Iss. 05, pp. 314-328
Open Access
Kiyoko Makimoto, Kazuko Shiozawa, Yoshihito Shima, et al.
Open Journal of Nursing (2023) Vol. 13, Iss. 05, pp. 314-328
Open Access
