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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:

CAVIAR: Context-driven Active and Incremental Activity Recognition
Cláudio Bettini, Gabriele Civitarese, Riccardo Presotto
Knowledge-Based Systems (2020) Vol. 196, pp. 105816-105816
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions
Santosh Kumar Yadav, Kamlesh Tiwari, Hari Mohan Pandey, et al.
Knowledge-Based Systems (2021) Vol. 223, pp. 106970-106970
Open Access | Times Cited: 203
A Novel Hybrid Gradient-Based Optimizer and Grey Wolf Optimizer Feature Selection Method for Human Activity Recognition Using Smartphone Sensors
Ahmed M. Helmi, Mohammed A. A. Al‐qaness, Abdelghani Dahou, et al.
Entropy (2021) Vol. 23, Iss. 8, pp. 1065-1065
Open Access | Times Cited: 57
Learning hierarchical time series data augmentation invariances via contrastive supervision for human activity recognition
Dongzhou Cheng, Lei Zhang, Can Bu, et al.
Knowledge-Based Systems (2023) Vol. 276, pp. 110789-110789
Closed Access | Times Cited: 31
Large Language Models are Zero-Shot Recognizers for Activities of Daily Living
Gabriele Civitarese, Michele Fiori, Priyankar Choudhary, et al.
ACM Transactions on Intelligent Systems and Technology (2025)
Closed Access | Times Cited: 1
Semi-supervised and personalized federated activity recognition based on active learning and label propagation
Riccardo Presotto, Gabriele Civitarese, Cláudio Bettini
Personal and Ubiquitous Computing (2022) Vol. 26, Iss. 5, pp. 1281-1298
Open Access | Times Cited: 27
Long kernel distillation in human activity recognition
Minghui Yao, Dongzhou Cheng, Lei Zhang, et al.
Knowledge-Based Systems (2025), pp. 113397-113397
Closed Access
Human activity recognition: A review of deep learning‐based methods
Sanjay Jyoti Dutta, Tossapon Boongoen, Reyer Zwiggelaar
IET Computer Vision (2025) Vol. 19, Iss. 1
Open Access
A Novel Dynamic Chaotic Golden Jackal Optimization Algorithm for Sensor-Based Human Activity Recognition Using Smartphones for Sustainable Smart Cities
Mahmoud Abdel-Salam, Aboul Ella Hassanien
Studies in systems, decision and control (2024), pp. 273-296
Closed Access | Times Cited: 3
ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models
Luca Arrotta, Cláudio Bettini, Gabriele Civitarese, et al.
(2024), pp. 55-62
Open Access | Times Cited: 2
Federated Clustering and Semi-Supervised learning: A new partnership for personalized Human Activity Recognition
Riccardo Presotto, Gabriele Civitarese, Cláudio Bettini
Pervasive and Mobile Computing (2022) Vol. 88, pp. 101726-101726
Open Access | Times Cited: 10
Personalized Semi-Supervised Federated Learning for Human Activity Recognition.
Cláudio Bettini, Gabriele Civitarese, Riccardo Presotto
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 14
Context-Aware Edge-Based AI Models for Wireless Sensor Networks—An Overview
Ahmed A. Al-Saedi, Veselka Boeva, Emiliano Casalicchio, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5544-5544
Open Access | Times Cited: 9
Building energy consumption models based on smartphone user’s usage patterns
Antônio Sá Barreto, Felipe Farias, Marco Mialaret, et al.
Knowledge-Based Systems (2020) Vol. 213, pp. 106680-106680
Open Access | Times Cited: 14
MICAR: multi-inhabitant context-aware activity recognition in home environments
Luca Arrotta, Cláudio Bettini, Gabriele Civitarese
Distributed and Parallel Databases (2022) Vol. 41, Iss. 4, pp. 571-602
Open Access | Times Cited: 8
Context-Aware Complex Human Activity Recognition Using Hybrid Deep Learning Models
Adebola Omolaja, Abayomi Otebolaku, Ali Saeed Dayem Alfoudi
Applied Sciences (2022) Vol. 12, Iss. 18, pp. 9305-9305
Open Access | Times Cited: 8
ProCAVIAR: Hybrid Data-Driven and Probabilistic Knowledge-Based Activity Recognition
Cláudio Bettini, Gabriele Civitarese, Davide Giancane, et al.
IEEE Access (2020) Vol. 8, pp. 146876-146886
Open Access | Times Cited: 12
Human activity recognition: A comprehensive review
Harmandeep Kaur, Veenu Rani, Munish Kumar
Expert Systems (2024) Vol. 41, Iss. 11
Open Access | Times Cited: 1
CapsLSTM-Based Human Activity Recognition for Smart Healthcare With Scarce Labeled Data
Pritam Khan, Yogesh Kumar, Sudhir Kumar
IEEE Transactions on Computational Social Systems (2022) Vol. 11, Iss. 1, pp. 707-716
Closed Access | Times Cited: 6
Ontology-based hybrid commonsense reasoning framework for handling context abnormalities in uncertain and partially observable environments
Koussaila Moulouel, Abdelghani Chibani, Yacine Amirat
Information Sciences (2023) Vol. 631, pp. 468-486
Open Access | Times Cited: 3
Probabilistic knowledge infusion through symbolic features for context-aware activity recognition
Luca Arrotta, Gabriele Civitarese, Cláudio Bettini
Pervasive and Mobile Computing (2023) Vol. 91, pp. 101780-101780
Open Access | Times Cited: 3
Semantic Loss
Luca Arrotta, Gabriele Civitarese, Cláudio Bettini
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2023) Vol. 7, Iss. 4, pp. 1-29
Open Access | Times Cited: 3
Graph-Based Semi-Supervised Learning for Activity Labeling in Health Smart Home
Yan Hu, Bingce Wang, Yuyan Sun, et al.
IEEE Access (2020) Vol. 8, pp. 193655-193664
Open Access | Times Cited: 8
A single smartwatch-based segmentation approach in human activity recognition
Yande Li, Lulan Yu, Jun Liao, et al.
Pervasive and Mobile Computing (2022) Vol. 83, pp. 101600-101600
Closed Access | Times Cited: 5
Genetic algorithm–optimized support vector machine for real-time activity recognition in health smart home
Yan Hu, Bingce Wang, Yuyan Sun, et al.
International Journal of Distributed Sensor Networks (2020) Vol. 16, Iss. 11, pp. 155014772097151-155014772097151
Open Access | Times Cited: 6
Disagreement-based class incremental random forest for sensor-based activity recognition
Chunyu Hu, Yiqiang Chen, Lisha Hu, et al.
Knowledge-Based Systems (2021) Vol. 239, pp. 108044-108044
Closed Access | Times Cited: 6
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