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:

Developing a Prediction Model for Identification of Distinct Perioperative Clinical Stages in Spine Surgery With Smartphone-Based Mobility Data
Hasan S. Ahmad, Andrew I. Yang, Gregory W. Basil, et al.
Neurosurgery (2022) Vol. 90, Iss. 5, pp. 588-596
Closed Access | Times Cited: 11

Showing 11 citing articles:

Feasibility and Acceptability of a Preoperative Multimodal Mobile Health Assessment in Spine Surgery Candidates
Jacob K. Greenberg, Madelyn Frumkin, Saad Javeed, et al.
Neurosurgery (2022) Vol. 92, Iss. 3, pp. 538-546
Open Access | Times Cited: 11

Redefining precision: the current and future roles of artificial intelligence in spine surgery
Ryan Turlip, Harmon Khela, Mert Marcel Dagli, et al.
Artificial Intelligence Surgery (2024) Vol. 4, Iss. 4, pp. 324-30
Open Access | Times Cited: 1

Digital Biomarkers and the Evolution of Spine Care Outcomes Measures: Smartphones and Wearables
Christina Bi, David B. Kurland, Roee Ber, et al.
Neurosurgery (2023) Vol. 93, Iss. 4, pp. 745-754
Closed Access | Times Cited: 3

Association of Daily Step Count With Patient Knowledge, Step Tracking, and Physical Factors in Patients With Spine Pathology
Amanda N. Sacino, Dan Norvell, Anna Gorbacheva, et al.
American Journal of Lifestyle Medicine (2024)
Open Access

Predicting Multi-dimensional Surgical Outcomes with Multi-modal Mobile Sensing
Ziqi Xu, Jingwen Zhang, Jacob K. Greenberg, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2024) Vol. 8, Iss. 2, pp. 1-30
Open Access

Machine Learning Models Leveraging Smartphone-Based Patient Mobility Data Can Accurately Predict Functional Outcomes After Spine Surgery
Hasan S. Ahmad, Daksh Chauhan, Mert Marcel Dagli, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 21, pp. 6515-6515
Open Access

A New Method for Prediction and Monitoring of Spondylosis Using 5G Data Transmission Module-Based MEMS Accelerometer
K. Gomathi, E. B. Priyanka, S. Thangavel, et al.
Deleted Journal (2024)
Closed Access

Commentary: Developing a Prediction Model for Identification of Distinct Perioperative Clinical Stages in Spine Surgery With Smartphone-Based Mobility Data
Daniel Franco, Glenn A. Gonzalez, Kevin Hines, et al.
Neurosurgery (2022) Vol. 90, Iss. 6, pp. e163-e164
Closed Access | Times Cited: 1

Advanced technologies for lumbar spondylolisthesis
Vignessh Kumar, Michael Y. Wang
Seminars in Spine Surgery (2023) Vol. 35, Iss. 3, pp. 101045-101045
Closed Access

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