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:

Assessing procedural pain in infants: a feasibility study evaluating a point-of-care mobile solution based on automated facial analysis
Kreshnik Hoti, Paola Chivers, Jeff Hughes
The Lancet Digital Health (2021) Vol. 3, Iss. 10, pp. e623-e634
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital Settings
Heidi Lindroth, Keivan Nalaie, Roshini Raghu, et al.
Journal of Imaging (2024) Vol. 10, Iss. 4, pp. 81-81
Open Access | Times Cited: 22

Soft electronics for advanced infant monitoring
Ming Yuan, Yunxiang Long, Tao Liu, et al.
Materials Today (2024) Vol. 75, pp. 166-186
Closed Access | Times Cited: 9

The Clinical Suitability of an Artificial Intelligence–Enabled Pain Assessment Tool for Use in Infants: Feasibility and Usability Evaluation Study
Jeff Hughes, Paola Chivers, Kreshnik Hoti
Journal of Medical Internet Research (2023) Vol. 25, pp. e41992-e41992
Open Access | Times Cited: 18

Automated facial recognition system using deep learning for pain assessment in adults with cerebral palsy
Álvaro Sabater-Gárriz, F. Xavier Gaya-Morey, José María Buades Rubio, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 5

Accurate Neonatal Face Detection for Improved Pain Classification in the Challenging NICU Setting
Jacqueline Hausmann, Md Sirajus Salekin, Ghada Zamzmi, et al.
IEEE Access (2024) Vol. 12, pp. 49122-49133
Open Access | Times Cited: 4

Comparison between AI and human expert performance in acute pain assessment in sheep
Marcelo Feighelstein, Stélio Pacca Loureiro Luna, Nuno Silva, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Personalizing ICU liberation for critically Ill children: shaping the future of the ABCDEF bundle
Jessica M. LaRosa, Sapna R. Kudchadkar
Current Opinion in Pediatrics (2025)
Closed Access

Face-based automatic pain assessment: challenges and perspectives in neonatal intensive care units
Tatiany Marcondes Heiderich, Lucas Pereira Carlini, Lucas F. Buzuti, et al.
Jornal de Pediatria (2023) Vol. 99, Iss. 6, pp. 546-560
Open Access | Times Cited: 10

Digital health interventions for postoperative recovery in children: a systematic review
Karin Plummer, Japheth Adina, Amy E. Mitchell, et al.
British Journal of Anaesthesia (2024) Vol. 132, Iss. 5, pp. 886-898
Open Access | Times Cited: 3

Computer Vision Tasks for Ambient Intelligence in Children’s Health
Danila Germanese, Sara Colantonio, Marco Del Coco, et al.
Information (2023) Vol. 14, Iss. 10, pp. 548-548
Open Access | Times Cited: 5

Design a Smart Medical Service Quality Evaluation System Based on Hybrid Multi-Criteria Decision Model
Gang Wang, Qigan Shao
Research Square (Research Square) (2024)
Open Access | Times Cited: 1

Smart Caregiving Support Cloud Integration Systems
Diajeng Tyas Purwa Hapsari, Yessica Nataliani, Irwan Sembiring, et al.
(2024), pp. 167-173
Closed Access | Times Cited: 1

Facial Analysis Technology for Pain Detection: A Potentially Useful Tool for People Living With Dementia
Kendra Brett, Melissa Severn
Canadian Journal of Health Technologies (2023) Vol. 3, Iss. 7
Open Access | Times Cited: 2

Automated Pain Recognition in Cats using Facial Landmarks: Dynamics Matter
George Martvel, Teddy Lazebnik, Marcelo Feighelstein, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2

Comparative analysis of artificial intelligence and expert assessments in detecting neonatal procedural pain
Vito Giordano, Alexandra Luister, Eik Vettorazzi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Developing and Validating a Multimodal Dataset for Neonatal Pain Assessment to Improve AI Algorithms With Clinical Data
Yang Nannan, Ying Zhuang, Huiping Jiang, et al.
Advances in Neonatal Care (2024)
Closed Access

Automated video-based pain recognition in cats using facial landmarks
George Martvel, Teddy Lazebnik, Marcelo Feighelstein, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

High strength, high sensitivity, hydrophobic and conductive vegetable oil-based composites for human motion detection
Congjie Xu, Mingqiao Chen, H. Ren, et al.
Industrial Crops and Products (2024) Vol. 223, pp. 120178-120178
Open Access

Automated landmark-based cat facial analysis and its applications
George Martvel, Teddy Lazebnik, Marcelo Feighelstein, et al.
Frontiers in Veterinary Science (2024) Vol. 11
Open Access

Automated facial analysis of infant pain expressions: progress and future directions
Harriet Oster
The Lancet Digital Health (2021) Vol. 3, Iss. 10, pp. e613-e614
Open Access | Times Cited: 2

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