Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Parkinson’s disease diagnosis and stage prediction based on gait signal analysis using EMD and CNN–LSTM network
B. Vidya, P. Sasikumar
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105099-105099
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Bias in Machine Learning: A Literature Review
Konstantinos Mavrogiorgos, Athanasios Kiourtis, Argyro Mavrogiorgou, et al.
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8860-8860
Open Access | Times Cited: 8
Investigation on the Long Short-term Memory-based Models for Rural Heating Load Prediction in Northeast China
Shengming Dong, Tong Liu, Xiaowei Hu, et al.
Energy (2025), pp. 134751-134751
Closed Access | Times Cited: 1
Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping
Yan Li, Maohan Liang, Huanhuan Li, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107012-107012
Open Access | Times Cited: 20
A low-cost framework for the recognition of human motion gait phases and patterns based on multi-source perception fusion
Dianbiao Dong, Chi Ma, Miao Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105886-105886
Closed Access | Times Cited: 17
A comparative study: prediction of parkinson’s disease using machine learning, deep learning and nature inspired algorithm
Pankaj Kumar Keserwani, Suman R. Das, Nairita Sarkar
Multimedia Tools and Applications (2024) Vol. 83, Iss. 27, pp. 69393-69441
Closed Access | Times Cited: 7
Unveiling the Unpredictable in Parkinson’s Disease: Sensor-Based Monitoring of Dyskinesias and Freezing of Gait in Daily Life
Alessandro Zampogna, Luigi Borzì, Domiziana Rinaldi, et al.
Bioengineering (2024) Vol. 11, Iss. 5, pp. 440-440
Open Access | Times Cited: 7
An efficient tool for Parkinson's disease detection and severity grading based on time-frequency and fuzzy features of cumulative gait signals through improved LSTM networks
Farhad Abedinzadeh Torghabeh, Yeganeh Modaresnia, Seyyed Abed Hosseini
Medicine in Novel Technology and Devices (2024) Vol. 22, pp. 100297-100297
Open Access | Times Cited: 5
Assessment of Parkinson’s Disease Severity Using Gait Data: A Deep Learning-Based Multimodal Approach
Nabid Faiem, Tunç Aşuroğlu, Koray Açıcı, et al.
Communications in computer and information science (2024), pp. 29-48
Open Access | Times Cited: 4
Classification of Parkinson’s disease severity using gait stance signals in a spatiotemporal deep learning classifier
Brenda G. Muñoz-Mata, Guadalupe Dorantes-Méndez, Omar Piña-Ramírez
Medical & Biological Engineering & Computing (2024)
Closed Access | Times Cited: 4
Adaptive feature selection with flexible mapping for diagnosis and prediction of Parkinson's disease
Zhongwei Huang, Jianqiang Li, Jiatao Yang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110342-110342
Closed Access
Gait analysis in mixed reality for Parkinson’s disease assessment
Daria Hemmerling, M. Kaczmarska, Bartłomiej Krawczyk, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107659-107659
Closed Access
Groundwater Storage Response to Extreme Hydrological Events in Poyang Lake, China’s Largest Fresh-Water Lake
Xiaoxi Yu, Chengpeng Lu, Edward Park, et al.
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 988-988
Open Access
Gait Analysis with an Upper Limb Prosthesis in a Child with Thrombocytopenia–Absent Radius Syndrome
Sebastian Głowiński, Sebastian Pecolt, Andrzej Błażejewski, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 7, pp. 2245-2245
Open Access
Wearable-Sensor-Based Weakly Supervised Parkinson’s Disease Assessment with Data Augmentation
Peng Yue, Ziheng Li, Menghui Zhou, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1196-1196
Open Access | Times Cited: 3
Quantum mayfly optimization based feature subset selection with hybrid CNN for biomedical Parkinson’s disease diagnosis
Romany F. Mansour
Neural Computing and Applications (2024) Vol. 36, Iss. 15, pp. 8383-8396
Open Access | Times Cited: 3
Gait Trajectory Prediction on an Embedded Microcontroller Using Deep Learning
Mohamed Karakish, Moustafa A. Fouz, A. Elsawaf
Sensors (2022) Vol. 22, Iss. 21, pp. 8441-8441
Open Access | Times Cited: 14
A Novel Deep Transfer Learning-Based Approach for Automated Pes Planus Diagnosis Using X-ray Image
Yeliz Gül, Süleyman Yaman, Derya Avcı, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1662-1662
Open Access | Times Cited: 8
Mahalanobis Metric-based Oversampling Technique for Parkinson’s Disease Severity Assessment using Spatiotemporal Gait Parameters
Aishwarya Balakrishnan, Jeevan Medikonda, Pramod K. Namboothiri, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105057-105057
Closed Access | Times Cited: 7
Gait acceleration-based diabetes detection using hybrid deep learning
Lit Zhi Chee, Saaveethya Sivakumar, King Hann Lim, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 105998-105998
Open Access | Times Cited: 2
Wearable Sensor‐Based Multi‐modal Fusion Network for Automated Gait Dysfunction Assessment in Children with Cerebral Palsy
Lu Tang, Wang Xiang-rui, Pengfei Lian, et al.
Advanced Intelligent Systems (2024) Vol. 6, Iss. 7
Open Access | Times Cited: 2
Prediction of Gait Neurodegenerative Diseases by Variational Mode Decomposition Using Machine Learning Algorithms
P. Visvanathan, P. M. Durai Raj Vincent
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 2
A surface electromyography based hand gesture recognition framework leveraging variational mode decomposition technique and deep learning classifier
T. Prabhavathy, Vinodh Kumar Elumalai, E Balaji, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107669-107669
Closed Access | Times Cited: 5
Semi-supervised prediction method for time series based on Monte Carlo and time fusion feature attention
Yang Yang, Jing Zhang, Lulu Wang
Applied Soft Computing (2024), pp. 112283-112283
Closed Access | Times Cited: 1
A Review of Artificial Intelligence-Based Gait Evaluation and Rehabilitation in Parkinson’s Disease
Purvi L Jadhwani, Pallavi Harjpal
Cureus (2023)
Open Access | Times Cited: 4
Hybrid Time-Series Prediction Method Based on Entropy Fusion Feature
Jing Zhang, Yang Yang, Yong Feng
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-18
Open Access | Times Cited: 4
Page 1 - Next Page

Scroll to top