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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:

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

Showing 1-25 of 41 citing articles:

A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning
Damien Bouchabou, Sao Mai Nguyen, Christophe Lohr, et al.
Sensors (2021) Vol. 21, Iss. 18, pp. 6037-6037
Open Access | Times Cited: 132
Stochastic Recognition of Physical Activity and Healthcare Using Tri-Axial Inertial Wearable Sensors
Ahmad Jalal, Mouazma Batool, Kibum Kim
Applied Sciences (2020) Vol. 10, Iss. 20, pp. 7122-7122
Open Access | Times Cited: 100
Dilated causal convolution with multi-head self attention for sensor human activity recognition
Rebeen Ali Hamad, Masashi Kimura, Longzhi Yang, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 20, pp. 13705-13722
Open Access | Times Cited: 65
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
A new CNN-LSTM architecture for activity recognition employing wearable motion sensor data: Enabling diverse feature extraction
Enes Koşar, Billur Barshan
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106529-106529
Closed Access | Times Cited: 36
Collision evasive action timing for MASS using CNN–LSTM-based ship trajectory prediction in restricted area
Heejin Lee, Deuk-Jin Park
Ocean Engineering (2024) Vol. 294, pp. 116766-116766
Open Access | Times Cited: 12
Wearable IMU-Based Human Activity Recognition Algorithm for Clinical Balance Assessment Using 1D-CNN and GRU Ensemble Model
Yeon-Wook Kim, Joa Kyunglim, Han-young Jeong, et al.
Sensors (2021) Vol. 21, Iss. 22, pp. 7628-7628
Open Access | Times Cited: 42
Tackling class imbalance in computer vision: a contemporary review
Manisha Saini, Seba Susan
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 1279-1335
Closed Access | Times Cited: 20
Class imbalance in multi-resident activity recognition: an evaluative study on explainability of deep learning approaches
Deepika Singh, Erinç Merdivan, Johannes Kropf, et al.
Universal Access in the Information Society (2024)
Open Access | Times Cited: 6
Automated Landslide-Risk Prediction Using Web GIS and Machine Learning Models
Naruephorn Tengtrairat, Wai Lok Woo, Phetcharat Parathai, et al.
Sensors (2021) Vol. 21, Iss. 13, pp. 4620-4620
Open Access | Times Cited: 37
Layout-Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST)
Megha Thukral, Sourish Gunesh Dhekane, Shruthi K. Hiremath, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2025) Vol. 9, Iss. 1, pp. 1-38
Open Access
Trandroid: An Android Mobile Threat Detection System Using Transformer Neural Networks
Thabet Kacem, Sourou Tossou
Electronics (2025) Vol. 14, Iss. 6, pp. 1230-1230
Open Access
Multivariate Time-Series Forecasting: A Review of Deep Learning Methods in Internet of Things Applications to Smart Cities
Vasilis Papastefanopoulos, Pantelis Linardatos, Theodor Panagiotakopoulos, et al.
Smart Cities (2023) Vol. 6, Iss. 5, pp. 2519-2552
Open Access | Times Cited: 10
STO-CVAE: state transition-oriented conditional variational autoencoder for data augmentation in disability classification
Seong Jin Bang, Min Jung Kang, Min-Goo Lee, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 3, pp. 4201-4222
Open Access | Times Cited: 3
In-depth analysis of design & development for sensor-based human activity recognition system
Nurul Amin Choudhury, Badal Soni
Multimedia Tools and Applications (2023) Vol. 83, Iss. 29, pp. 73233-73272
Closed Access | Times Cited: 7
Analyzing Social Exchange Motives With Theory-Driven Data and Machine Learning
Kevin Igwe, Kevin Durrheim
IEEE Access (2024) Vol. 12, pp. 2135-2149
Open Access | Times Cited: 2
Human activity recognition using binary sensors: A systematic review
Muhammad Toaha Raza Khan, Enver Ever, Sukru Eraslan, et al.
Information Fusion (2024) Vol. 115, pp. 102731-102731
Closed Access | Times Cited: 2
Intelligent Eye-Controlled Electric Wheelchair Based on Estimating Visual Intentions Using One-Dimensional Convolutional Neural Network and Long Short-Term Memory
Sho Higa, Koji Yamada, Shihoko Kamisato
Sensors (2023) Vol. 23, Iss. 8, pp. 4028-4028
Open Access | Times Cited: 6
Enhanced Automated Deep Learning Application for Short Term Load Forecasting
Vasileios Laitsos, Georgios Vontzos, Dimitrios Bargiotas, et al.
(2023)
Open Access | Times Cited: 5
BSDGAN: Balancing Sensor Data Generative Adversarial Networks for Human Activity Recognition
Yifan Hu
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-8
Open Access | Times Cited: 5
Overview of Human Activity Recognition Using Sensor Data
Rebeen Ali Hamad, Wai Lok Woo, Bo Wei, et al.
Advances in intelligent systems and computing (2024), pp. 380-391
Closed Access | Times Cited: 1
Machine learning and deep learning models for human activity recognition in security and surveillance: a review
Sheetal Waghchaware, Radhika D. Joshi
Knowledge and Information Systems (2024) Vol. 66, Iss. 8, pp. 4405-4436
Closed Access | Times Cited: 1
The Lifespan of Human Activity Recognition Systems for Smart Homes
Shruthi K. Hiremath, Thomas Plötz
Sensors (2023) Vol. 23, Iss. 18, pp. 7729-7729
Open Access | Times Cited: 4
ConvNet-based performers attention and supervised contrastive learning for activity recognition
Rebeen Ali Hamad, Longzhi Yang, Wai Lok Woo, et al.
Applied Intelligence (2022) Vol. 53, Iss. 8, pp. 8809-8825
Open Access | Times Cited: 6
Development and Investigation of Cost-Sensitive Pruned Decision Tree Model for Improved Schizophrenia Diagnosis
Ephraim Nwoye, Wai Lok Woo, Obinna P. Fidelis, et al.
International Journal of Automation Artificial Intelligence and Machine Learning (2020), pp. 17-41
Open Access | Times Cited: 5
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