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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:

Convolutional Neural Networks for Human Activity Recognition Using Body-Worn Sensors
Fernando Moya Rueda, René Grzeszick, Gernot A. Fink, et al.
Informatics (2018) Vol. 5, Iss. 2, pp. 26-26
Open Access | Times Cited: 167

Showing 1-25 of 167 citing articles:

A CNN-LSTM Approach to Human Activity Recognition
Ronald Mutegeki, Dong Seog Han
(2020), pp. 362-366
Closed Access | Times Cited: 325
A survey on video-based Human Action Recognition: recent updates, datasets, challenges, and applications
Preksha Pareek, Ankit Thakkar
Artificial Intelligence Review (2020) Vol. 54, Iss. 3, pp. 2259-2322
Closed Access | Times Cited: 301
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances
Shibo Zhang, Yaxuan Li, Shen Zhang, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1476-1476
Open Access | Times Cited: 257
Human Activity Recognition: Review, Taxonomy and Open Challenges
Muhammad Haseeb Arshad, Muhammad Bilal, Abdullah Gani
Sensors (2022) Vol. 22, Iss. 17, pp. 6463-6463
Open Access | Times Cited: 80
Wearable Sensor-Based Human Activity Recognition in the Smart Healthcare System
Fatemeh Serpush, Mohammad Bagher Menhaj, Behrooz Masoumi, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-31
Open Access | Times Cited: 76
A review of machine learning-based human activity recognition for diverse applications
Farzana Kulsoom, Sanam Narejo, Zahid Mehmood, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 21, pp. 18289-18324
Closed Access | Times Cited: 75
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey
Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-45
Open Access | Times Cited: 50
Feature learning for Human Activity Recognition using Convolutional Neural Networks
Federico Cruciani, Anastasios Vafeiadis, Chris Nugent, et al.
CCF Transactions on Pervasive Computing and Interaction (2020) Vol. 2, Iss. 1, pp. 18-32
Open Access | Times Cited: 118
Design and Implementation of a Convolutional Neural Network on an Edge Computing Smartphone for Human Activity Recognition
Tahmina Zebin, Patricia Scully, Niels Peek, et al.
IEEE Access (2019) Vol. 7, pp. 133509-133520
Open Access | Times Cited: 83
ConvAE-LSTM: Convolutional Autoencoder Long Short-Term Memory Network for Smartphone-Based Human Activity Recognition
Dipanwita Thakur, Suparna Biswas, Edmond S. L. Ho, et al.
IEEE Access (2022) Vol. 10, pp. 4137-4156
Open Access | Times Cited: 55
Wearable Sensor-Based Human Activity Recognition with Hybrid Deep Learning Model
Yee Jia Luwe, Chin Poo Lee, Kian Ming Lim
Informatics (2022) Vol. 9, Iss. 3, pp. 56-56
Open Access | Times Cited: 55
RNN-based deep learning for physical activity recognition using smartwatch sensors: A case study of simple and complex activity recognition
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 6, pp. 5671-5698
Open Access | Times Cited: 42
Real-time detection of freezing of gait in Parkinson’s disease using multi-head convolutional neural networks and a single inertial sensor
Luigi Borzì, Luis Sigcha, Daniel Rodríguez-Martín, et al.
Artificial Intelligence in Medicine (2022) Vol. 135, pp. 102459-102459
Closed Access | Times Cited: 37
Human activity recognition from multiple sensors data using deep CNNs
Yasin Kaya, E. Topuz
Multimedia Tools and Applications (2023) Vol. 83, Iss. 4, pp. 10815-10838
Closed Access | Times Cited: 27
Workplace Well-Being in Industry 5.0: A Worker-Centered Systematic Review
Francesca Giada Antonaci, Elena Carlotta Olivetti, Federica Marcolin, et al.
Sensors (2024) Vol. 24, Iss. 17, pp. 5473-5473
Open Access | Times Cited: 13
Human activity recognition based on smartphone and wearable sensors using multiscale DCNN ensemble
Jessica Sena, Jesimon Barreto, Carlos Caetano, et al.
Neurocomputing (2020) Vol. 444, pp. 226-243
Closed Access | Times Cited: 61
LARa: Creating a Dataset for Human Activity Recognition in Logistics Using Semantic Attributes
Friedrich Niemann, Christopher Reining, Fernando Moya Rueda, et al.
Sensors (2020) Vol. 20, Iss. 15, pp. 4083-4083
Open Access | Times Cited: 56
A Survey of Deep Learning Based Models for Human Activity Recognition
Nida Saddaf Khan, Muhammad Sayeed Ghani
Wireless Personal Communications (2021) Vol. 120, Iss. 2, pp. 1593-1635
Closed Access | Times Cited: 45
Transfer Learning Approach for Human Activity Recognition Based on Continuous Wavelet Transform
Olena Pavliuk, Myroslav Mishchuk, Christine Strauß
Algorithms (2023) Vol. 16, Iss. 2, pp. 77-77
Open Access | Times Cited: 20
Deep neural networks for wearable sensor-based activity recognition in Parkinson’s disease: investigating generalizability and model complexity
Shelly Davidashvilly, Maria Cardei, Murtadha D. Hssayeni, et al.
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 5
Wearable Fall Detection Device for Stroke Warning Based on IoT Technology and Convolutional Neural Network
Phuc Truong Duc, Vu Duc Toan
Measurement Interdisciplinary Research and Perspectives (2025), pp. 1-18
Closed Access
Human Activity Recognition for Production and Logistics—A Systematic Literature Review
Christopher Reining, Friedrich Niemann, Fernando Moya Rueda, et al.
Information (2019) Vol. 10, Iss. 8, pp. 245-245
Open Access | Times Cited: 52
Joint Learning of Temporal Models to Handle Imbalanced Data for Human Activity Recognition
Rebeen Ali Hamad, Longzhi Yang, Wai Lok Woo, et al.
Applied Sciences (2020) Vol. 10, Iss. 15, pp. 5293-5293
Open Access | Times Cited: 41
Semisupervised Generative Adversarial Networks With Temporal Convolutions for Human Activity Recognition
Hazar Zilelioglu, Ghazaleh Khodabandelou, Abdelghani Chibani, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 11, pp. 12355-12369
Closed Access | Times Cited: 15
Vision Based Detection and Analysis of Human Activities
Abhiram Ravipati, Rakesh Krishna Kondamuri, A. Mary Posonia, et al.
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (2023), pp. 1542-1547
Closed Access | Times Cited: 12
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