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:

Predicting walking response to ankle exoskeletons using data-driven models
Michael C. Rosenberg, Bora S. Banjanin, Samuel A. Burden, et al.
Journal of The Royal Society Interface (2020) Vol. 17, Iss. 171, pp. 20200487-20200487
Open Access | Times Cited: 16

Showing 16 citing articles:

Personalizing exoskeleton assistance while walking in the real world
Patrick Slade, Mykel J. Kochenderfer, Scott L. Delp, et al.
Nature (2022) Vol. 610, Iss. 7931, pp. 277-282
Open Access | Times Cited: 143

Leveraging Arbitrary Mobile Sensor Trajectories With Shallow Recurrent Decoder Networks for Full-State Reconstruction
Megan R. Ebers, Jan P. Williams, Katherine M. Steele, et al.
IEEE Access (2024) Vol. 12, pp. 97428-97439
Open Access | Times Cited: 4

Marker Data Enhancement For Markerless Motion Capture
Antoine Falisse, Scott D. Uhlrich, Akshay Chaudhari, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4

Biomechanical models in the lower-limb exoskeletons development: a review
Vahid Firouzi, André Seyfarth, Seungmoon Song, et al.
Journal of NeuroEngineering and Rehabilitation (2025) Vol. 22, Iss. 1
Open Access

Discovering individual-specific gait signatures from data-driven models of neuromechanical dynamics
Taniel S. Winner, Michael C. Rosenberg, Kanishk Jain, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 10, pp. e1011556-e1011556
Open Access | Times Cited: 11

A machine learning approach to quantify individual gait responses to ankle exoskeletons
Megan R. Ebers, Michael C. Rosenberg, J. Nathan Kutz, et al.
Journal of Biomechanics (2023) Vol. 157, pp. 111695-111695
Open Access | Times Cited: 5

Quantifying changes in individual-specific template-based representations of center-of-mass dynamics during walking with ankle exoskeletons using Hybrid-SINDy
Michael C. Rosenberg, Joshua L. Proctor, Katherine M. Steele
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Human motion data expansion from arbitrary sparse sensors with shallow recurrent decoders
Megan R. Ebers, Mackenzie N. Pitts, J. Nathan Kutz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Biomechanical models in the lower-limb exoskeletons development: A review
Vahid Firouzi, André Seyfarth, Seungmoon Song, et al.
(2023)
Open Access | Times Cited: 4

Multimodal video and IMU kinematic dataset on daily life activities using affordable devices
Mario Martínez‐Zarzuela, Javier González-Alonso, Míriam Antón‐Rodríguez, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 3

Discovering individual-specific gait signatures from data-driven models of neuromechanical dynamics
Taniel S. Winner, Michael C. Rosenberg, Kanishk Jain, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3

Biomechanical models in the lower-limb exoskeletons development: A review
Vahid Firouzi, André Seyfarth, Seungmoon Song, et al.
(2023)
Open Access | Times Cited: 1

Knee and Ankle Exoskeletons for Motor Rehabilitation: A Technology Review
Deyby Huamanchahua, Cesar Luciano Otarola-Ruiz, Ana Quispe-Pina, et al.
2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) (2022), pp. 1-7
Closed Access | Times Cited: 2

Quantifying changes in individual-specific template-based representations of center-of-mass dynamics during walking with ankle exoskeletons using Hybrid-SINDy
Michael C. Rosenberg, Joshua L. Proctor, Katherine M. Steele
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1

A machine learning approach to quantify individual gait responses to ankle exoskeletons
Megan R. Ebers, Michael C. Rosenberg, J. Nathan Kutz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access

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