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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:

A Deep Learning Approach for Human Activities Recognition From Multimodal Sensing Devices
Isibor Kennedy Ihianle, Augustine O. Nwajana, Solomon H. Ebenuwa, et al.
IEEE Access (2020) Vol. 8, pp. 179028-179038
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Deep Convolutional Neural Network with RNNs for Complex Activity Recognition Using Wrist-Worn Wearable Sensor Data
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Electronics (2021) Vol. 10, Iss. 14, pp. 1685-1685
Open Access | Times Cited: 101
Human activity recognition using temporal convolutional neural network architecture
Yair A. Andrade-Ambriz, Sergio Ledesma, Mario-Alberto Ibarra-Manzano, et al.
Expert Systems with Applications (2021) Vol. 191, pp. 116287-116287
Closed Access | Times Cited: 83
Sport-Related Activity Recognition from Wearable Sensors Using Bidirectional GRU Network
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Intelligent Automation & Soft Computing (2022) Vol. 34, Iss. 3, pp. 1907-1925
Open Access | Times Cited: 42
A review of vision-based indoor HAR: state-of-the-art, challenges, and future prospects
Geetanjali Bhola, Dinesh Kumar Vishwakarma
Multimedia Tools and Applications (2023) Vol. 83, Iss. 1, pp. 1965-2005
Open Access | Times Cited: 23
A Deep Learning Approach for Atrial Fibrillation Classification Using Multi-Feature Time Series Data from ECG and PPG
Bader Aldughayfiq, Farzeen Ashfaq, N. Z. Jhanjhi, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2442-2442
Open Access | Times Cited: 23
Understanding LSTM Network Behaviour of IMU-Based Locomotion Mode Recognition for Applications in Prostheses and Wearables
Freddie Sherratt, Andrew Plummer, Pejman Iravani
Sensors (2021) Vol. 21, Iss. 4, pp. 1264-1264
Open Access | Times Cited: 56
HIT HAR: Human Image Threshing Machine for Human Activity Recognition Using Deep Learning Models
Alwin Poulose, Jung Hwan Kim, Dong Seog Han
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-21
Open Access | Times Cited: 35
Using Dual Attention BiLSTM to Predict Vehicle Lane Changing Maneuvers on Highway Dataset
Farzeen Ashfaq, Rania M. Ghoniem, N. Z. Jhanjhi, et al.
Systems (2023) Vol. 11, Iss. 4, pp. 196-196
Open Access | Times Cited: 18
Integrating an LSTM framework for predicting ankle joint biomechanics during gait using inertial sensors
Liangliang Xiang, Yaodong Gu, Zixiang Gao, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108016-108016
Closed Access | Times Cited: 8
Recent Machine Learning Progress in Lower Limb Running Biomechanics With Wearable Technology: A Systematic Review
Liangliang Xiang, Alan Wang, Yaodong Gu, et al.
Frontiers in Neurorobotics (2022) Vol. 16
Open Access | Times Cited: 25
Population and Age-Based Cardiorespiratory Fitness Level Investigation and Automatic Prediction
Liangliang Xiang, Kaili Deng, Qichang Mei, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 8
Open Access | Times Cited: 23
A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm
Mehdi Jamei, Masoud Karbasi, Mumtaz Ali, et al.
Expert Systems with Applications (2023) Vol. 222, pp. 119811-119811
Closed Access | Times Cited: 15
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
Reliability-Based Load and Resistance Factor Design of an Energy Pile with CPT Data Using Machine Learning Techniques
Pramod Kumar, Pijush Samui
Arabian Journal for Science and Engineering (2023) Vol. 49, Iss. 4, pp. 4831-4860
Closed Access | Times Cited: 12
An efficient and lightweight multiperson activity recognition framework for robot-assisted healthcare applications
Syed Hammad Hussain Shah, Anniken Karlsen, Mads Solberg, et al.
Expert Systems with Applications (2023) Vol. 241, pp. 122482-122482
Open Access | Times Cited: 11
Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment
Shenghong Dai, Shiqi Jiang, Yifan Yang, et al.
(2025), pp. 240-253
Closed Access
Human activity recognition using a bagging-based deep learning framework with convolutional capsule networks and spiking neural networks
Moola Ramu, Ashraf Hossain, Ch. Rajendra Prasad
International Journal of Information Technology (2025)
Closed Access
Lstm-Powered Speech Recognition for Low-Resource Languages: The Case of Assamese Language
Manash Choudhuri, Deepjyoti Kalita, Sanjib Kumar Kalita
(2025)
Closed Access
Human Activity Recognition by Using Different Deep Learning Approaches for Wearable Sensors
Çağatay Berke Erdaş, Selda Güney
Neural Processing Letters (2021) Vol. 53, Iss. 3, pp. 1795-1809
Closed Access | Times Cited: 21
Intelligent system for human activity recognition in IoT environment
Hassan Khaled, Osama Abu-Elnasr, Samir Elmougy, et al.
Complex & Intelligent Systems (2021) Vol. 9, Iss. 4, pp. 3535-3546
Open Access | Times Cited: 21
Continual learning with attentive recurrent neural networks for temporal data classification
Shao-Yu Yin, Yu Huang, Tien-Yu Chang, et al.
Neural Networks (2022) Vol. 158, pp. 171-187
Closed Access | Times Cited: 15
Smart-Wearable Sensors and CNN-BiGRU Model: A Powerful Combination for Human Activity Recognition
Hamza Ali Imran, Qaiser Riaz, Mehdi Hussain, et al.
IEEE Sensors Journal (2023) Vol. 24, Iss. 2, pp. 1963-1974
Closed Access | Times Cited: 7
CNN-LSTM-Based Late Sensor Fusion for Human Activity Recognition in Big Data Networks
Zartasha Baloch, Faisal Karim Shaikh, Mukhtiar Ali Unar
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 12
Multi-sensor fusion based optimized deep convolutional neural network for boxing punch activity recognition
J. Brindha, G. Nallavan
Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology (2024)
Closed Access | Times Cited: 2
Spoken word recognition using a novel speech boundary segment of voiceless articulatory consonants
Bachchu Paul, Sumita Guchhait, Sandipan Maity, et al.
International Journal of Information Technology (2024) Vol. 16, Iss. 4, pp. 2661-2673
Closed Access | Times Cited: 2
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