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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:

Stacked Lstm Network for Human Activity Recognition Using Smartphone Data
Mohib Ullah, Habib Ullah, Sultan Daud Khan, et al.
(2019), pp. 175-180
Closed Access | Times Cited: 114

Showing 1-25 of 114 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
Multi-input CNN-GRU based human activity recognition using wearable sensors
Nidhi Dua, Shiva Nand Singh, Vijay Bhaskar Semwal
Computing (2021) Vol. 103, Iss. 7, pp. 1461-1478
Closed Access | Times Cited: 302
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
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: 235
A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data
Sravan Kumar Challa, Akhilesh Kumar, Vijay Bhaskar Semwal
The Visual Computer (2021) Vol. 38, Iss. 12, pp. 4095-4109
Closed Access | Times Cited: 204
Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor
Mst. Alema Khatun, Mohammad Abu Yousuf, Sabbir Ahmed, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2022) Vol. 10, pp. 1-16
Open Access | Times Cited: 130
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
Inception inspired CNN-GRU hybrid network for human activity recognition
Nidhi Dua, Shiva Nand Singh, Vijay Bhaskar Semwal, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 4, pp. 5369-5403
Closed Access | Times Cited: 91
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
Time Series Prediction Based on LSTM-Attention-LSTM Model
Xianyun Wen, Weibang Li
IEEE Access (2023) Vol. 11, pp. 48322-48331
Open Access | Times Cited: 59
Weaponized AI for cyber attacks
Muhammad Mudassar Yamin, Mohib Ullah, Habib Ullah, et al.
Journal of Information Security and Applications (2021) Vol. 57, pp. 102722-102722
Open Access | Times Cited: 100
Dilated causal convolution with multi-head self attention for sensor human activity recognition
Rebeen Ali Hamad, Masashi Kimura, Longzhi Yang, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 20, pp. 13705-13722
Open Access | Times Cited: 65
ConvAE-LSTM: Convolutional Autoencoder Long Short-Term Memory Network for Smartphone-Based Human Activity Recognition
Dipanwita Thakur, Suparna Biswas, Edmond S. L. Ho, et al.
IEEE Access (2022) Vol. 10, pp. 4137-4156
Open Access | Times Cited: 55
Human activity recognition with smartphone-integrated sensors: A survey
Vincenzo Dentamaro, Vincenzo Gattulli, Donato Impedovo, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123143-123143
Open Access | Times Cited: 13
Sensor-Based Human Activity Recognition Using Deep Stacked Multilayered Perceptron Model
Furqan Rustam, Aijaz Ahmad Reshi, Imran Ashraf, et al.
IEEE Access (2020) Vol. 8, pp. 218898-218910
Open Access | Times Cited: 64
Smart fusion of sensor data and human feedback for personalized energy-saving recommendations
Iraklis Varlamis, Christos Sardianos, Christos Chronis, et al.
Applied Energy (2021) Vol. 305, pp. 117775-117775
Closed Access | Times Cited: 51
Enhancing human activity recognition using deep learning and time series augmented data
Luay Alawneh, Tamam Alsarhan, Mohammad Al-Zinati, et al.
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 12, Iss. 12, pp. 10565-10580
Closed Access | Times Cited: 49
Towards effective detection of elderly falls with CNN-LSTM neural networks
Enol García González, Mario Villar, Mirko Fáñez, et al.
Neurocomputing (2022) Vol. 500, pp. 231-240
Open Access | Times Cited: 31
A Novel Smartphone-Based Human Activity Recognition Using Deep Learning in Health care
Vaibhav Soni, Himanshu Yadav, Vijay Bhaskar Semwal, et al.
Lecture notes in electrical engineering (2023), pp. 493-503
Closed Access | Times Cited: 20
Artificial Intelligence Based Approach for Classification of Human Activities Using MEMS Sensors Data
Yusuf Ahmed Khan, Syed Imaduddin, Yash Pratap Singh, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1275-1275
Open Access | Times Cited: 18
Extended Application of Inertial Measurement Units in Biomechanics: From Activity Recognition to Force Estimation
Wenqi Liang, Fanjie Wang, Ao Fan, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4229-4229
Open Access | Times Cited: 17
Testing the Performance of LSTM and ARIMA Models for In-Season Forecasting of Canopy Cover (CC) in Cotton Crops
Sambandh Bhusan Dhal, Stavros Kalafatis, Ulisses Braga-Neto, et al.
Remote Sensing (2024) Vol. 16, Iss. 11, pp. 1906-1906
Open Access | Times Cited: 7
Decoding Human Activities: Analyzing Wearable Accelerometer and Gyroscope Data for Activity Recognition
Utsab Saha, Sawradip Saha, Md. Tahmid Kabir, et al.
IEEE Sensors Letters (2024) Vol. 8, Iss. 8, pp. 1-4
Open Access | Times Cited: 5
Human Trajectory Imputation Model: A Hybrid Deep Learning Approach for Pedestrian Trajectory Imputation
Deb Kanti Barua, Mithun Halder, Shayanta Shopnil, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 745-745
Open Access
Smartphone Based Human Activity Recognition with Feature Selection and Dense Neural Network
Syed Khairul Bashar, Abdullah Fahim, Ki H. Chon
(2020)
Closed Access | Times Cited: 43
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