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 With Smartphone and Wearable Sensors Using Deep Learning Techniques: A Review
E. Ramanujam, Thinagaran Perumal, S. Padmavathi
IEEE Sensors Journal (2021) Vol. 21, Iss. 12, pp. 13029-13040
Open Access | Times Cited: 286

Showing 1-25 of 286 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

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

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

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: 105

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

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

Human activity recognition using marine predators algorithm with deep learning
Ahmed M. Helmi, Mohammed A. A. Al‐qaness, Abdelghani Dahou, et al.
Future Generation Computer Systems (2023) Vol. 142, pp. 340-350
Closed Access | Times Cited: 51

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

Wireless Body Area Networks and Their Applications—A Review
D.M.G. Preethichandra, Lasitha Piyathilaka, Umer Izhar, et al.
IEEE Access (2023) Vol. 11, pp. 9202-9220
Open Access | Times Cited: 44

Multi-source information fusion: Progress and future
Xinde Li, Fir Dunkin, Jean Dezert
Chinese Journal of Aeronautics (2023) Vol. 37, Iss. 7, pp. 24-58
Open Access | Times Cited: 43

Human Activity Recognition (HAR) Using Deep Learning: Review, Methodologies, Progress and Future Research Directions
Pranjal Kumar, Siddhartha Chauhan, Lalit Kumar Awasthi
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 1, pp. 179-219
Closed Access | Times Cited: 41

Connecting the indispensable roles of IoT and artificial intelligence in smart cities: A survey
Hoang Nguyen, Dina Nawara, Rasha Kashef
Journal of Information and Intelligence (2024)
Open Access | Times Cited: 20

Dual-stream deep learning integrated multimodal sensors for complex stimulus detection in intelligent sensory systems
Kyobin Keum, Jee Young Kwak, Jongmin Rim, et al.
Nano Energy (2024) Vol. 122, pp. 109342-109342
Closed Access | Times Cited: 19

Intelligent Wearable System With Motion and Emotion Recognition Based on Digital Twin Technology
Feng Yu, Chenyu Yu, Zhangyuan Tian, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 15, pp. 26314-26328
Closed Access | Times Cited: 19

Machine Learning and AI Technologies for Smart Wearables
Kah Phooi Seng, Li-Minn Ang, Eno Peter, et al.
Electronics (2023) Vol. 12, Iss. 7, pp. 1509-1509
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

On-Device Deep Learning for Mobile and Wearable Sensing Applications: A Review
Özlem Durmaz İncel, Sevda Özge Bursa
IEEE Sensors Journal (2023) Vol. 23, Iss. 6, pp. 5501-5512
Closed Access | Times Cited: 33

Building a Conversational Chatbot Using Machine Learning
Ram Kumar Solanki, Anand Singh Rajawat, Amit Gadekar, et al.
Advances in medical education, research, and ethics (AMERE) book series (2023), pp. 285-309
Closed Access | Times Cited: 31

A Survey on Yogic Posture Recognition
Arun Kumar Rajendran, Sibi Chakkaravarthy Sethuraman
IEEE Access (2023) Vol. 11, pp. 11183-11223
Open Access | Times Cited: 24

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

A Deep Learning Network with Aggregation Residual Transformation for Human Activity Recognition Using Inertial and Stretch Sensors
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Computers (2023) Vol. 12, Iss. 7, pp. 141-141
Open Access | Times Cited: 22

A Systematic Review of Human Activity Recognition Based on Mobile Devices: Overview, Progress and Trends
Yafeng Yin, Lei Xie, Zhiwei Jiang, et al.
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 2, pp. 890-929
Closed Access | Times Cited: 12

A multi-channel hybrid deep learning framework for multi-sensor fusion enabled human activity recognition
Lei Zhang, Jingwei Yu, Zhenyu Gao, et al.
Alexandria Engineering Journal (2024) Vol. 91, pp. 472-485
Open Access | Times Cited: 12

An ensemble deep learning model for human activity analysis using wearable sensory data
S Batool, Muhammad Hassan Khan, Muhammad Shahid Farid
Applied Soft Computing (2024) Vol. 159, pp. 111599-111599
Closed Access | Times Cited: 11

Design and development of textile-based wearable sensors for real-time biomedical monitoring; a review
Musaddaq Azeem, Muhammad Shahid, Ivan Mašín, et al.
Journal of the Textile Institute (2024), pp. 1-16
Open Access | Times Cited: 10

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