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:

Inertial Sensor-Based Stride Parameter Calculation From Gait Sequences in Geriatric Patients
Alexander Rampp, Jens Barth, Samuel Schuelein, et al.
IEEE Transactions on Biomedical Engineering (2014) Vol. 62, Iss. 4, pp. 1089-1097
Open Access | Times Cited: 269

Showing 1-25 of 269 citing articles:

Technology in Parkinson's disease: Challenges and opportunities
Alberto J. Espay, Paolo Bonato, Fatta B. Nahab, et al.
Movement Disorders (2016) Vol. 31, Iss. 9, pp. 1272-1282
Open Access | Times Cited: 550

Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review
S. Chen, John Lach, Benny Lo, et al.
IEEE Journal of Biomedical and Health Informatics (2016) Vol. 20, Iss. 6, pp. 1521-1537
Closed Access | Times Cited: 364

An Emerging Era in the Management of Parkinson's Disease: Wearable Technologies and the Internet of Things
Cristian Pasluosta, Heiko Gaßner, Jürgen Winkler, et al.
IEEE Journal of Biomedical and Health Informatics (2015) Vol. 19, Iss. 6, pp. 1873-1881
Closed Access | Times Cited: 307

Wearable sensors objectively measure gait parameters in Parkinson’s disease
Johannes C. M. Schlachetzki, Jens Barth, Franz Marxreiter, et al.
PLoS ONE (2017) Vol. 12, Iss. 10, pp. e0183989-e0183989
Open Access | Times Cited: 290

Instrumenting gait with an accelerometer: A system and algorithm examination
Alan Godfrey, Silvia Del Din, Gill Barry, et al.
Medical Engineering & Physics (2015) Vol. 37, Iss. 4, pp. 400-407
Open Access | Times Cited: 189

A Review on Accelerometry-Based Gait Analysis and Emerging Clinical Applications
Delaram Jarchi, James Pope, Tracey K. M. Lee, et al.
IEEE Reviews in Biomedical Engineering (2018) Vol. 11, pp. 177-194
Open Access | Times Cited: 177

Sensor-Based Gait Parameter Extraction With Deep Convolutional Neural Networks
Julius Hannink, Thomas Kautz, Cristian Pasluosta, et al.
IEEE Journal of Biomedical and Health Informatics (2016) Vol. 21, Iss. 1, pp. 85-93
Open Access | Times Cited: 170

A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work
Dimple Sethi, Sourabh Bharti, Chandra Prakash
Artificial Intelligence in Medicine (2022) Vol. 129, pp. 102314-102314
Closed Access | Times Cited: 91

Stride Segmentation during Free Walk Movements Using Multi-Dimensional Subsequence Dynamic Time Warping on Inertial Sensor Data
Jens Barth, Cäcilia Oberndorfer, Cristian Pasluosta, et al.
Sensors (2015) Vol. 15, Iss. 3, pp. 6419-6440
Open Access | Times Cited: 170

A clinical view on the development of technology-based tools in managing Parkinson's disease
Walter Maetzler, Jochen Klucken, Malcolm Horne
Movement Disorders (2016) Vol. 31, Iss. 9, pp. 1263-1271
Closed Access | Times Cited: 153

An Overview of Smart Shoes in the Internet of Health Things: Gait and Mobility Assessment in Health Promotion and Disease Monitoring
Bjoern M. Eskofier, Sung-Hoon Lee, Manuela Baron, et al.
Applied Sciences (2017) Vol. 7, Iss. 10, pp. 986-986
Open Access | Times Cited: 136

Deep Learning for Monitoring of Human Gait: A Review
Abdullah Alharthi, Syed U. Yunas, Krikor Ozanyan
IEEE Sensors Journal (2019) Vol. 19, Iss. 21, pp. 9575-9591
Open Access | Times Cited: 134

A Mobile Kalman-Filter Based Solution for the Real-Time Estimation of Spatio-Temporal Gait Parameters
Alberto Ferrari, Pieter Ginis, Michael Hardegger, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2015) Vol. 24, Iss. 7, pp. 764-773
Open Access | Times Cited: 129

Mobile Stride Length Estimation With Deep Convolutional Neural Networks
Julius Hannink, Thomas Kautz, Cristian Pasluosta, et al.
IEEE Journal of Biomedical and Health Informatics (2017) Vol. 22, Iss. 2, pp. 354-362
Open Access | Times Cited: 128

A Review of Activity Trackers for Senior Citizens: Research Perspectives, Commercial Landscape and the Role of the Insurance Industry
Salvatore Tedesco, John Barton, Brendan O’Flynn
Sensors (2017) Vol. 17, Iss. 6, pp. 1277-1277
Open Access | Times Cited: 127

Gait analysis in neurological populations: Progression in the use of wearables
Yunus Çelik, Samuel Stuart, Wai Lok Woo, et al.
Medical Engineering & Physics (2020) Vol. 87, pp. 9-29
Open Access | Times Cited: 124

Accurate Ambulatory Gait Analysis in Walking and Running Using Machine Learning Models
Huanghe Zhang, Yi Guo, Damiano Zanotto
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 28, Iss. 1, pp. 191-202
Open Access | Times Cited: 98

A Comparative Review of Footwear-Based Wearable Systems
Nagaraj Hegde, Matthew Bries, Edward Sazonov
Electronics (2016) Vol. 5, Iss. 3, pp. 48-48
Open Access | Times Cited: 89

Novel Methods for Sensing Acoustical Emissions From the Knee for Wearable Joint Health Assessment
Caitlin N. Teague, Sinan Hersek, Hakan Töreyin, et al.
IEEE Transactions on Biomedical Engineering (2016) Vol. 63, Iss. 8, pp. 1581-1590
Closed Access | Times Cited: 88

Validation of IMU-based gait event detection during curved walking and turning in older adults and Parkinson’s Disease patients
Robbin Romijnders, Elke Warmerdam, Clint Hansen, et al.
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 61

Threshold-Free Phase Segmentation and Zero Velocity Detection for Gait Analysis Using Foot-Mounted Inertial Sensors
Xin Shi, Zhelong Wang, Hongyu Zhao, et al.
IEEE Transactions on Human-Machine Systems (2022) Vol. 53, Iss. 1, pp. 176-186
Closed Access | Times Cited: 39

Effect of walking speed on gait sub phase durations
Felix Hebenstreit, Andreas Leibold, Sebastian Krinner, et al.
Human Movement Science (2015) Vol. 43, pp. 118-124
Closed Access | Times Cited: 81

Multimodal Gait Recognition With Inertial Sensor Data and Video Using Evolutionary Algorithm
Pradeep Kumar, Subham Mukherjee, Rajkumar Saini, et al.
IEEE Transactions on Fuzzy Systems (2018) Vol. 27, Iss. 5, pp. 956-965
Open Access | Times Cited: 79

Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson’s Disease
Nooshin Haji Ghassemi, Julius Hannink, Christine F. Martindale, et al.
Sensors (2018) Vol. 18, Iss. 1, pp. 145-145
Open Access | Times Cited: 70

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