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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:

Detection of Infantile Movement Disorders in Video Data Using Deformable Part-Based Model
Muhammad Hassan Khan, Manuel Schneider, Muhammad Shahid Farid, et al.
Sensors (2018) Vol. 18, Iss. 10, pp. 3202-3202
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Lung Nodule Detection in CT Images Using Statistical and Shape-Based Features
Noor Khehrah, Muhammad Shahid Farid, Saira Bilal, et al.
Journal of Imaging (2020) Vol. 6, Iss. 2, pp. 6-6
Open Access | Times Cited: 58
Preterm Infants’ Pose Estimation With Spatio-Temporal Features
Sara Moccia, Lucia Migliorelli, Virgilio Carnielli, et al.
IEEE Transactions on Biomedical Engineering (2019) Vol. 67, Iss. 8, pp. 2370-2380
Open Access | Times Cited: 55
AI Approaches towards Prechtl’s Assessment of General Movements: A Systematic Literature Review
Muhammad Tausif Irshad, Muhammad Adeel Nisar, Philip Gouverneur, et al.
Sensors (2020) Vol. 20, Iss. 18, pp. 5321-5321
Open Access | Times Cited: 53
Video-Based Automatic Baby Motion Analysis for Early Neurological Disorder Diagnosis: State of the Art and Future Directions
Marco Leo, Giuseppe Massimo Bernava, Pierluigi Carcagnì, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 866-866
Open Access | Times Cited: 30
Human Interaction and Classification Via K-ary Tree Hashing Over Body Pose Attributes Using Sports Data
Sandeep Trivedi, Nikhil Patel, Nuruzzaman Faruqui, et al.
Lecture notes in networks and systems (2023), pp. 366-378
Closed Access | Times Cited: 17
Unsupervised Human Pose Estimation through Transforming Shape Templates
Luca Schmidtke, Athanasios Vlontzos, Simon Ellershaw, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 2484-2494
Open Access | Times Cited: 31
Vision-based approaches towards person identification using gait
Muhammad Hassan Khan, Muhammad Shahid Farid, Marcin Grzegorzek
Computer Science Review (2021) Vol. 42, pp. 100432-100432
Closed Access | Times Cited: 28
Marker-Based Movement Analysis of Human Body Parts in Therapeutic Procedure
Muhammad Hassan Khan, Martin Zöller, Muhammad Shahid Farid, et al.
Sensors (2020) Vol. 20, Iss. 11, pp. 3312-3312
Open Access | Times Cited: 28
A Comparative Study of Feature Selection Approaches for Human Activity Recognition Using Multimodal Sensory Data
Fatima Amjad, Muhammad Hassan Khan, Muhammad Adeel Nisar, et al.
Sensors (2021) Vol. 21, Iss. 7, pp. 2368-2368
Open Access | Times Cited: 24
An LSTM-Based Approach for Understanding Human Interactions Using Hybrid Feature Descriptors Over Depth Sensors
Manahil Waheed, Ahmad Jalal, Mohammed Alarfaj, et al.
IEEE Access (2021) Vol. 9, pp. 167434-167446
Open Access | Times Cited: 24
Markerless human pose estimation for biomedical applications: a survey
Andrea Avogaro, Federico Cunico, Bodo Rosenhahn, et al.
Frontiers in Computer Science (2023) Vol. 5
Open Access | Times Cited: 7
Machine learning approaches to evaluate infants’ general movements in the writhing stage—a pilot study
Lisa Letzkus, J. Vince Pulido, Abiodun Adeyemo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Automated Movement Analysis to Predict Cerebral Palsy in Very Preterm Infants: An Ambispective Cohort Study
Kamini Raghuram, Silvia Orlandi, Paige Church, et al.
Children (2022) Vol. 9, Iss. 6, pp. 843-843
Open Access | Times Cited: 12
Changes in the Complexity of Limb Movements during the First Year of Life across Different Tasks
Zuzanna Laudańska, David López Pérez, Alicja Radkowska, et al.
Entropy (2022) Vol. 24, Iss. 4, pp. 552-552
Open Access | Times Cited: 10
Preterm infants' limb-pose estimation from depth images using convolutional neural networks
Sara Moccia, Lucia Migliorelli, Rocco Pietrini, et al.
(2019), pp. 1-7
Open Access | Times Cited: 16
Optimal Thresholding for Multi-Window Computed Tomography (CT) to Predict Lung Cancer
M. M. M. Nasir, Muhammad Shahid Farid, Zobia Suhail, et al.
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 7256-7256
Open Access | Times Cited: 5
A pose estimation for motion tracking of infants cerebral palsy
Manal Mostafa Ali, Samer I. Mohamed
Multimedia Tools and Applications (2024)
Open Access | Times Cited: 1
Automatic multi-gait recognition using pedestrian’s spatiotemporal features
Muhammad Hassan Khan, Hiba Azam, Muhammad Shahid Farid
The Journal of Supercomputing (2023) Vol. 79, Iss. 17, pp. 19254-19276
Closed Access | Times Cited: 3
Human-Based Interaction Analysis via Automated Key Point Detection and Neural Network Model
Israr Akhter, Naif Al Mudawi, Bayan Alabdullah, et al.
IEEE Access (2023) Vol. 11, pp. 100646-100658
Open Access | Times Cited: 3
Prevention of Safety Accidents through Artificial Intelligence Monitoring of Infants in the Home Environment
Yejin Lee, Kye Kyung Kim, Jae‐Hong Kim
2021 International Conference on Information and Communication Technology Convergence (ICTC) (2019)
Closed Access | Times Cited: 8
TULIP: Multi-Camera 3D Precision Assessment of Parkinson's Disease
Kyungdo Kim, Sihan Lyu, Sneha Mantri, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 22551-22562
Closed Access
An accurate estimation of preterm infants’ limb pose from depth images using deep neural networks with densely connected atrous spatial convolutions
Lucia Migliorelli, Emanuele Frontoni, Sara Moccia
Expert Systems with Applications (2022) Vol. 204, pp. 117458-117458
Closed Access | Times Cited: 2
Deep Learning-Based Quantitative Analyses of Spontaneous Movements and Their Association With Early Neurological Development in Preterm Infants
Hyun Iee Shin, Hyung‐Ik Shin, Moon Suk Bang, et al.
Research Square (Research Square) (2021)
Open Access | Times Cited: 2
Exploiting Spatiotemporal Features for Action Recognition
Usairam Bin Muslim, Muhammad Hassan Khan, Muhammad Shahid Farid
2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST) (2021), pp. 1-7
Closed Access | Times Cited: 1
Preterm infants' limb-pose estimation from depth images using convolutional neural networks
Sara Moccia, Lucia Migliorelli, Rocco Pietrini, et al.
arXiv (Cornell University) (2019)
Closed Access
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