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:

Body Sensor Network-Based Gait Quality Assessment for Clinical Decision-Support via Multi-Sensor Fusion
Sen Qiu, Long Liu, Zhelong Wang, et al.
IEEE Access (2019) Vol. 7, pp. 59884-59894
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
Sen Qiu, Hongkai Zhao, Nan Jiang, et al.
Information Fusion (2021) Vol. 80, pp. 241-265
Closed Access | Times Cited: 448

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: 93

IoMT-Enabled Fusion-Based Model to Predict Posture for Smart Healthcare Systems
Taher M. Ghazal, Mohammad Kamrul Hasan, Siti Norul Huda Sheikh Abdullah, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 71, Iss. 2, pp. 2579-2597
Open Access | Times Cited: 56

Recent Advances in Quantitative Gait Analysis Using Wearable Sensors: A Review
Yonatan Hutabarat, Dai Owaki, Mitsuhiro Hayashibe
IEEE Sensors Journal (2021) Vol. 21, Iss. 23, pp. 26470-26487
Open Access | Times Cited: 43

Next Steps in Wearable Technology and Community Ambulation in Multiple Sclerosis
Mikaela L. Frechette, Brett M. Meyer, Lindsey J. Tulipani, et al.
Current Neurology and Neuroscience Reports (2019) Vol. 19, Iss. 10
Closed Access | Times Cited: 50

Wearable Sport Activity Classification Based on Deep Convolutional Neural Network
Yu‐Liang Hsu, Hsing-Cheng Chang, Yung-Jung Chiu
IEEE Access (2019) Vol. 7, pp. 170199-170212
Open Access | Times Cited: 49

Towards Wearable-Inertial-Sensor-Based Gait Posture Evaluation for Subjects with Unbalanced Gaits
Sen Qiu, Huihui Wang, Jie Li, et al.
Sensors (2020) Vol. 20, Iss. 4, pp. 1193-1193
Open Access | Times Cited: 32

Wireless Body Sensor Communication Systems Based on UWB and IBC Technologies: State-of-the-Art and Open Challenges
Ivana Čuljak, Željka Lučev Vasić, Hrvoje Mihaldinec, et al.
Sensors (2020) Vol. 20, Iss. 12, pp. 3587-3587
Open Access | Times Cited: 28

Land and Underwater Gait Analysis Using Wearable IMU
Cecilia Monoli, Juan Francisco Fuentes‐Pérez, Nicola Cau, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 9, pp. 11192-11202
Open Access | Times Cited: 25

MDS: Multi-level decision system for patient behavior analysis based on wearable device information
Amr Tolba, Omar Said, Zafer Al-Makhadmeh
Computer Communications (2019) Vol. 147, pp. 180-187
Closed Access | Times Cited: 26

A High-Fidelity Wearable System for Measuring Lower-Limb Kinetics and Kinematics
Mohamed Abdelhady, Antonie J. van den Bogert, Dan Simon
IEEE Sensors Journal (2019) Vol. 19, Iss. 24, pp. 12482-12493
Open Access | Times Cited: 20

A selection framework of sensor combination feature subset for human motion phase segmentation
Jiaxin Wang, Zhelong Wang, Sen Qiu, et al.
Information Fusion (2020) Vol. 70, pp. 1-11
Closed Access | Times Cited: 20

Non-Contact Smart Sensing of Physical Activities during Quarantine Period Using SDR Technology
Muhammad Bilal Khan, Ali Mustafa, Mubashir Rehman, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1348-1348
Open Access | Times Cited: 11

Sensor fusion techniques in deep learning for multimodal fruit and vegetable quality assessment: A comprehensive review
R. N. Singh, Nisha Rani, Ravindra Naik, et al.
Journal of Food Measurement & Characterization (2024) Vol. 18, Iss. 9, pp. 8088-8109
Closed Access | Times Cited: 2

Gait Stability Index Built by Kinematic Information Consistent With the Margin of Stability Along the Mediolateral Direction
Tomoyuki Iwasaki, Shogo Okamoto, Yasuhiro Akiyama, et al.
IEEE Access (2022) Vol. 10, pp. 52832-52839
Open Access | Times Cited: 9

Examination of the Accuracy of Movement Tracking Systems for Monitoring Exercise for Musculoskeletal Rehabilitation
Artem Obukhov, Andrey Volkov, Alexander N. Pchelintsev, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8058-8058
Open Access | Times Cited: 5

Motion Recognition for Smart Sports Based on Wearable Inertial Sensors
Huihui Wang, Lianfu Li, Hao Chen, et al.
Springer eBooks (2019), pp. 114-124
Closed Access | Times Cited: 15

Unveiling Patterns and Abnormalities of Human Gait: A Comprehensive Study
Prateek Singhal, Rakesh Kumar Yadav, Upendra N. Dwivedi
Indian Journal of Information Sources and Services (2024) Vol. 14, Iss. 1, pp. 51-70
Open Access | Times Cited: 1

Synthesizing Foot and Ankle Kinematic Characteristics for Lateral Collateral Ligament Injuries Detection
Xin Liu, Chen Zhao, Bin Zheng, et al.
IEEE Access (2020) Vol. 8, pp. 188429-188440
Open Access | Times Cited: 11

P2D: An Efficient Patient-to-Doctor Framework for Real-Time Health Monitoring and Decision Making
Ghina Saad, Hassan Harb, Abdelhafıd Abouaissa, et al.
IEEE Sensors Journal (2020) Vol. 21, Iss. 13, pp. 14240-14252
Closed Access | Times Cited: 9

A Wearable Ultrasonic-Based Ankle Angle and Toe Clearance Sensing System for Gait Analysis
Neelakandan Mani, Prathap Haridoss, Boby George
IEEE Sensors Journal (2020) Vol. 21, Iss. 6, pp. 8593-8603
Closed Access | Times Cited: 9

Improving Tele-Rehabilitation Therapy Through Machine Learning with a NoSQL Graph DBMS Approach
Antonio Celesti, Fabrizio Celesti, Maria Fazio, et al.
2022 IEEE Globecom Workshops (GC Wkshps) (2020), pp. 1-6
Closed Access | Times Cited: 9

WeedGait: Unobtrusive Smartphone Sensing of Marijuana-Induced Gait impairment By Fusing Gait Cycle Segmentation and Neural Networks
Ruojun Li, Emmanuel Agu, Ganesh Balakrishnan, et al.
(2019), pp. 91-94
Closed Access | Times Cited: 8

Improving Machine Learning Algorithm Processing Time in Tele-Rehabilization Through a NoSQL Graph Database Approach: A Preliminary Study
Antonio Celesti, Fabrizio Celesti, Antonino Galletta, et al.
2022 IEEE Symposium on Computers and Communications (ISCC) (2020)
Closed Access | Times Cited: 7

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