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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:

LSTM Networks Using Smartphone Data for Sensor-Based Human Activity Recognition in Smart Homes
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Sensors (2021) Vol. 21, Iss. 5, pp. 1636-1636
Open Access | Times Cited: 238

Showing 1-25 of 238 citing articles:

Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
Sen Qiu, Hongkai Zhao, Nan Jiang, et al.
Information Fusion (2021) Vol. 80, pp. 241-265
Closed Access | Times Cited: 439
Human Activity Recognition Based on Residual Network and BiLSTM
Yong Li, Luping Wang
Sensors (2022) Vol. 22, Iss. 2, pp. 635-635
Open Access | Times Cited: 106
Wearable Sensor-Based Human Activity Recognition in the Smart Healthcare System
Fatemeh Serpush, Mohammad Bagher Menhaj, Behrooz Masoumi, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-31
Open Access | Times Cited: 76
GRU-INC: An inception-attention based approach using GRU for human activity recognition
Taima Rahman Mim, Maliha Amatullah, Sadia Afreen, et al.
Expert Systems with Applications (2022) Vol. 216, pp. 119419-119419
Closed Access | Times Cited: 69
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey
Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-45
Open Access | Times Cited: 50
A Deep Bidirectional LSTM Model Enhanced by Transfer-Learning-Based Feature Extraction for Dynamic Human Activity Recognition
Najmul Hassan, Abu Saleh Musa Miah, Jungpil Shin
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 603-603
Open Access | Times Cited: 17
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: 98
Deep Learning Approaches for Continuous Authentication Based on Activity Patterns Using Mobile Sensing
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Sensors (2021) Vol. 21, Iss. 22, pp. 7519-7519
Open Access | Times Cited: 74
Deep learning-based networks for automated recognition and classification of awkward working postures in construction using wearable insole sensor data
Maxwell Fordjour Antwi‐Afari, Yazan Qarout, Randa Herzallah, et al.
Automation in Construction (2022) Vol. 136, pp. 104181-104181
Open Access | Times Cited: 67
ResNet-SE: Channel Attention-Based Deep Residual Network for Complex Activity Recognition Using Wrist-Worn Wearable Sensors
Sakorn Mekruksavanich, Anuchit Jitpattanakul, Kanokwan Sitthithakerngkiet, et al.
IEEE Access (2022) Vol. 10, pp. 51142-51154
Open Access | Times Cited: 64
Human activity recognition in cyber-physical systems using optimized machine learning techniques
Ishaani Priyadarshini, Rohit Sharma, Dhowmya Bhatt, et al.
Cluster Computing (2022) Vol. 26, Iss. 4, pp. 2199-2215
Closed Access | Times Cited: 46
CNN-Based Deep Learning Network for Human Activity Recognition During Physical Exercise from Accelerometer and Photoplethysmographic Sensors
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Lecture notes on data engineering and communications technologies (2022), pp. 531-542
Closed Access | Times Cited: 43
A smart decision support system to diagnose arrhythymia using ensembled ConvNet and ConvNet-LSTM model
Shamik Tiwari, Anurag Jain, Varun Sapra, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 118933-118933
Closed Access | Times Cited: 43
RNN-based deep learning for physical activity recognition using smartwatch sensors: A case study of simple and complex activity recognition
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 6, pp. 5671-5698
Open Access | Times Cited: 42
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: 41
An Efficient ResNetSE Architecture for Smoking Activity Recognition from Smartwatch
Narit Hnoohom, Sakorn Mekruksavanich, Anuchit Jitpattanakul
Intelligent Automation & Soft Computing (2022) Vol. 35, Iss. 1, pp. 1245-1259
Open Access | Times Cited: 40
A Hybrid Deep Residual Network for Efficient Transitional Activity Recognition Based on Wearable Sensors
Sakorn Mekruksavanich, Narit Hnoohom, Anuchit Jitpattanakul
Applied Sciences (2022) Vol. 12, Iss. 10, pp. 4988-4988
Open Access | Times Cited: 39
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
Hybrid convolution neural network with channel attention mechanism for sensor-based human activity recognition
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 33
A Novel Deep Multifeature Extraction Framework Based on Attention Mechanism Using Wearable Sensor Data for Human Activity Recognition
Yang Wang, Hongji Xu, Yunxia Liu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 7, pp. 7188-7198
Closed Access | Times Cited: 29
An Adaptive Batch Size-Based-CNN-LSTM Framework for Human Activity Recognition in Uncontrolled Environment
Nurul Amin Choudhury, Badal Soni
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 10, pp. 10379-10387
Closed Access | Times Cited: 29
Time-series pattern recognition in Smart Manufacturing Systems: A literature review and ontology
Mojtaba A. Farahani, Matt McCormick, Robert Gianinny, et al.
Journal of Manufacturing Systems (2023) Vol. 69, pp. 208-241
Open Access | Times Cited: 27
Surface Electromyography and Artificial Intelligence for Human Activity Recognition—A Systematic Review on Methods, Emerging Trends Applications, Challenges, and Future Implementation
Gundala Jhansi Rani, Mohammad Farukh Hashmi, Aditya Gupta
IEEE Access (2023) Vol. 11, pp. 105140-105169
Open Access | Times Cited: 25
Enabling Resource-Efficient AIoT System With Cross-Level Optimization: A Survey
Sicong Liu, Bin Guo, Cheng Fang, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 26, Iss. 1, pp. 389-427
Open Access | Times Cited: 24
Time-series classification in smart manufacturing systems: An experimental evaluation of state-of-the-art machine learning algorithms
Mojtaba A. Farahani, Matt McCormick, Ramy Harik, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 91, pp. 102839-102839
Open Access | Times Cited: 13
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