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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:

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

Showing 1-25 of 61 citing articles:

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
Multi-ResAtt: Multilevel Residual Network With Attention for Human Activity Recognition Using Wearable Sensors
Mohammed A. A. Al‐qaness, Abdelghani Dahou, Mohamed Abd Elaziz, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 1, pp. 144-152
Closed Access | Times Cited: 89
Human activity recognition from sensor data using spatial attention-aided CNN with genetic algorithm
Apu Sarkar, Sabbir Hossain, Ram Sarkar
Neural Computing and Applications (2022) Vol. 35, Iss. 7, pp. 5165-5191
Open Access | Times Cited: 57
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
Temporal-channel convolution with self-attention network for human activity recognition using wearable sensors
Ehab Essa, Islam R. Abdelmaksoud
Knowledge-Based Systems (2023) Vol. 278, pp. 110867-110867
Open Access | Times Cited: 32
On the Use of a Convolutional Block Attention Module in Deep Learning-Based Human Activity Recognition with Motion Sensors
Sumeyye Agac, Özlem Durmaz İncel
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1861-1861
Open Access | Times Cited: 23
Two-stream transformer network for sensor-based human activity recognition
Shuo Xiao, Shengzhi Wang, Zhenzhen Huang, et al.
Neurocomputing (2022) Vol. 512, pp. 253-268
Closed Access | Times Cited: 28
A human activity recognition method using wearable sensors based on convtransformer model
Zhanpeng Zhang, Wenting Wang, Aimin An, et al.
Evolving Systems (2023) Vol. 14, Iss. 6, pp. 939-955
Closed Access | Times Cited: 20
Smartphone-based human activity recognition using lightweight multiheaded temporal convolutional network
Sarmela Raja Sekaran, Ying Han Pang, Ooi Shih Yin
Expert Systems with Applications (2023) Vol. 227, pp. 120132-120132
Closed Access | Times Cited: 15
Robust Feature Representation Using Multi-Task Learning for Human Activity Recognition
Behrooz Azadi, Michael Haslgrübler, Bernhard Anzengruber-Tánase, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 681-681
Open Access | Times Cited: 5
Human activity recognition: suitability of a neuromorphic approach for on-edge AIoT applications
Vittorio Fra, Evelina Forno, Riccardo Pignari, et al.
Neuromorphic Computing and Engineering (2022) Vol. 2, Iss. 1, pp. 014006-014006
Open Access | Times Cited: 21
A novel pedal musculoskeletal response based on differential spatio-temporal LSTM for human activity recognition
Hao Wu, Zhichao Zhang, Xiaoyong Li, et al.
Knowledge-Based Systems (2022) Vol. 261, pp. 110187-110187
Closed Access | Times Cited: 21
Image expression of time series data of wearable IMU sensor and fusion classification of gymnastics action
Yuliang Zhao, F Dong, Tianang Sun, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121978-121978
Closed Access | Times Cited: 11
Easy Ensemble: Simple Deep Ensemble Learning for Sensor-Based Human Activity Recognition
Tatsuhito Hasegawa, Kazuma Kondo
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 6, pp. 5506-5518
Open Access | Times Cited: 13
Large Receptive Field Attention: An Innovation in Decomposing Large-Kernel Convolution for Sensor-Based Activity Recognition
Qi Teng, Yin Tang, Guangwei Hu
IEEE Sensors Journal (2024) Vol. 24, Iss. 8, pp. 13488-13499
Closed Access | Times Cited: 2
Cross-Attention Enhanced Pyramid Multi-Scale Networks for Sensor-Based Human Activity Recognition
Hongsen Pang, Zheng Li, Hongbin Fang
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 5, pp. 2733-2744
Closed Access | Times Cited: 2
Complex Deep Neural Networks from Large Scale Virtual IMU Data for Effective Human Activity Recognition Using Wearables
Hyeokhyen Kwon, Gregory D. Abowd, Thomas Plötz
Sensors (2021) Vol. 21, Iss. 24, pp. 8337-8337
Open Access | Times Cited: 17
Hierarchical Activity Recognition Based on Belief Functions Theory in Body Sensor Networks
Yilin Dong, Ri‐Gui Zhou, Changming Zhu, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 15, pp. 15211-15221
Closed Access | Times Cited: 11
Bi-STAN: bilinear spatial-temporal attention network for wearable human activity recognition
Chenlong Gao, Yiqiang Chen, Xinlong Jiang, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 14, Iss. 7, pp. 2545-2561
Closed Access | Times Cited: 6
Combination of Different-Granularity Beliefs for Sensor-Based Human Activity Recognition
Kezhu Zuo, Xinde Li, Yilin Dong, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 11, pp. 12309-12319
Closed Access | Times Cited: 6
Real-Time Machine Learning for Human Activities Recognition Based on Wrist-Worn Wearable Devices
Alexandru Alexan, Anca Roxana Alexan, Stefan Oniga
Applied Sciences (2023) Vol. 14, Iss. 1, pp. 329-329
Open Access | Times Cited: 6
Improving the Performance and Explainability of Indoor Human Activity Recognition in the Internet of Things Environment
Ayse Betul Cengiz, Kökten Ulaş Birant, Mehmet Cengiz, et al.
Symmetry (2022) Vol. 14, Iss. 10, pp. 2022-2022
Open Access | Times Cited: 10
Enhancing lifestyle and health monitoring of elderly populations using CSA-TkELM classifier
R. Anto Arockia Rosaline, N. P. Ponnuviji, Subbu Lakshmi T.C., et al.
Knowledge-Based Systems (2023) Vol. 276, pp. 110758-110758
Closed Access | Times Cited: 5
Multi-Position Human Activity Recognition using a Multi-Modal Deep Convolutional Neural Network
Aimé Cedric Muhoza, Emmanuel Bergeret, Corinne Brdys, et al.
2022 7th International Conference on Smart and Sustainable Technologies (SpliTech) (2023), pp. 1-5
Closed Access | Times Cited: 5
A novel physical activity recognition approach using deep ensemble optimized transformers and reinforcement learning
Sajad Ahmadian, Mehrdad Rostami, Vahid Farrahi, et al.
Neural Networks (2024) Vol. 173, pp. 106159-106159
Closed Access | Times Cited: 1
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