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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 Process Using 3-D Posture Data
Salvatore Gaglio, Giuseppe Lo Re, Marco Morana
IEEE Transactions on Human-Machine Systems (2014) Vol. 45, Iss. 5, pp. 586-597
Closed Access | Times Cited: 335

Showing 1-25 of 335 citing articles:

Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach
Yang Xing, Chen Lv, Huaji Wang, et al.
IEEE Transactions on Vehicular Technology (2019) Vol. 68, Iss. 6, pp. 5379-5390
Open Access | Times Cited: 330
Human activity recognition in artificial intelligence framework: a narrative review
Neha Gupta, Suneet Gupta, Rajesh Kumar Pathak, et al.
Artificial Intelligence Review (2022) Vol. 55, Iss. 6, pp. 4755-4808
Open Access | Times Cited: 226
A Human Activity Recognition System Using Skeleton Data from RGBD Sensors
Enea Cippitelli, Samuele Gasparrini, Ennio Gambi, et al.
Computational Intelligence and Neuroscience (2016) Vol. 2016, pp. 1-14
Open Access | Times Cited: 213
How smart is e-tourism? A systematic review of smart tourism recommendation system applying data management
Rula A. Hamid, A. S. Albahri, Jwan K. Alwan, et al.
Computer Science Review (2020) Vol. 39, pp. 100337-100337
Closed Access | Times Cited: 210
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: 201
Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects
Md. Milon Islam, Sheikh Nooruddin, Fakhri Karray, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106060-106060
Open Access | Times Cited: 126
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
Combining CNN streams of RGB-D and skeletal data for human activity recognition
Pushpajit Khaire, Praveen Kumar, Javed Imran
Pattern Recognition Letters (2018) Vol. 115, pp. 107-116
Closed Access | Times Cited: 136
Identification and Analysis of Driver Postures for In-Vehicle Driving Activities and Secondary Tasks Recognition
Yang Xing, Chen Lv, Zhaozhong Zhang, et al.
IEEE Transactions on Computational Social Systems (2017) Vol. 5, Iss. 1, pp. 95-108
Open Access | Times Cited: 134
A Review on State-of-the-Art Violence Detection Techniques
Muhammad Ramzan, Adnan Abid, Hikmat Ullah Khan, et al.
IEEE Access (2019) Vol. 7, pp. 107560-107575
Open Access | Times Cited: 126
Sensing Technology for Human Activity Recognition: A Comprehensive Survey
Biying Fu, Naser Damer, Florian Kirchbuchner, et al.
IEEE Access (2020) Vol. 8, pp. 83791-83820
Open Access | Times Cited: 117
Wearable Inertial Sensors for Daily Activity Analysis Based on Adam Optimization and the Maximum Entropy Markov Model
Sheikh Badar ud din Tahir, Ahmad Jalal, Kibum Kim
Entropy (2020) Vol. 22, Iss. 5, pp. 579-579
Open Access | Times Cited: 109
A multimodal approach for human activity recognition based on skeleton and RGB data
Annalisa Franco, Antonio Magnani, Dario Maio
Pattern Recognition Letters (2020) Vol. 131, pp. 293-299
Open Access | Times Cited: 108
Two-stream RNN/CNN for action recognition in 3D videos
Rui Zhao, Haider Ali, Patrick van der Smagt
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2017), pp. 4260-4267
Open Access | Times Cited: 105
HuMAn: Complex Activity Recognition with Multi-Modal Multi-Positional Body Sensing
Pratool Bharti, Debraj De, Sriram Chellappan, et al.
IEEE Transactions on Mobile Computing (2018) Vol. 18, Iss. 4, pp. 857-870
Open Access | Times Cited: 85
Wiar: A Public Dataset for Wifi-Based Activity Recognition
Linlin Guo, Silu Guo, Lei Wang, et al.
IEEE Access (2019) Vol. 7, pp. 154935-154945
Open Access | Times Cited: 85
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: 79
Multi-Sensor Fusion for Activity Recognition—A Survey
Antonio A. Aguileta, Ramón Brena, Oscar Mayora, et al.
Sensors (2019) Vol. 19, Iss. 17, pp. 3808-3808
Open Access | Times Cited: 77
A Survey on Anomalous Behavior Detection for Elderly Care Using Dense-Sensing Networks
Samundra Deep, Xi Zheng, Chandan Karmakar, et al.
IEEE Communications Surveys & Tutorials (2019) Vol. 22, Iss. 1, pp. 352-370
Closed Access | Times Cited: 76
HDL-PSR: Modelling Spatio-Temporal Features Using Hybrid Deep Learning Approach for Post-Stroke Rehabilitation
Vishwanath Bijalwan, Vijay Bhaskar Semwal, Ghanapriya Singh, et al.
Neural Processing Letters (2022) Vol. 55, Iss. 1, pp. 279-298
Closed Access | Times Cited: 60
Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques
Fangming Qu, Nolan Dang, Borko Furht, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 9
Adaptive Bayesian inference system for recognition of walking activities and prediction of gait events using wearable sensors
Uriel Martínez-Hernández, Abbas A. Dehghani-Sanij
Neural Networks (2018) Vol. 102, pp. 107-119
Open Access | Times Cited: 82
Self-organizing neural integration of pose-motion features for human action recognition
German I. Parisi, Cornelius Weber, Stefan Wermter
Frontiers in Neurorobotics (2015) Vol. 9
Open Access | Times Cited: 81
Exploiting deep residual networks for human action recognition from skeletal data
Huy‐Hieu Pham, Louahdi Khoudour, Alain Crouzil, et al.
Computer Vision and Image Understanding (2018) Vol. 170, pp. 51-66
Open Access | Times Cited: 78
Video benchmarks of human action datasets: a review
Tej Singh, Dinesh Kumar Vishwakarma
Artificial Intelligence Review (2018) Vol. 52, Iss. 2, pp. 1107-1154
Closed Access | Times Cited: 78
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