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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:

Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges
Henry Friday Nweke, Teh Ying Wah, Mohammed Ali Al-Garadi, et al.
Expert Systems with Applications (2018) Vol. 105, pp. 233-261
Closed Access | Times Cited: 772

Showing 1-25 of 772 citing articles:

Deep learning for time series classification: a review
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, et al.
Data Mining and Knowledge Discovery (2019) Vol. 33, Iss. 4, pp. 917-963
Open Access | Times Cited: 2542
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security
Mohammed Ali Al-Garadi, Amr Mohamed, Abdulla Al‐Ali, et al.
IEEE Communications Surveys & Tutorials (2020) Vol. 22, Iss. 3, pp. 1646-1685
Open Access | Times Cited: 922
A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning
Shaveta Dargan, Munish Kumar, Maruthi Rohit Ayyagari, et al.
Archives of Computational Methods in Engineering (2019) Vol. 27, Iss. 4, pp. 1071-1092
Closed Access | Times Cited: 885
Deep Learning Models for Real-time Human Activity Recognition with Smartphones
Shaohua Wan, Lianyong Qi, Xiaolong Xu, et al.
Mobile Networks and Applications (2019) Vol. 25, Iss. 2, pp. 743-755
Closed Access | Times Cited: 496
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
Machine learning based solutions for security of Internet of Things (IoT): A survey
Syeda Manjia Tahsien, Hadis Karimipour, Petros Spachos
Journal of Network and Computer Applications (2020) Vol. 161, pp. 102630-102630
Open Access | Times Cited: 401
A survey on wearable sensor modality centred human activity recognition in health care
Yan Wang, Shuang Cang, Hongnian Yu
Expert Systems with Applications (2019) Vol. 137, pp. 167-190
Open Access | Times Cited: 311
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
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
Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey
Florenc Demrozi, Graziano Pravadelli, Azra Bihorac, et al.
IEEE Access (2020) Vol. 8, pp. 210816-210836
Open Access | Times Cited: 280
Recommendation system based on deep learning methods: a systematic review and new directions
Aminu Da’u, Naomie Salim
Artificial Intelligence Review (2019) Vol. 53, Iss. 4, pp. 2709-2748
Closed Access | Times Cited: 278
Deep Learning for Sensor-based Human Activity Recognition
Kaixuan Chen, Dalin Zhang, Lina Yao, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 4, pp. 1-40
Closed Access | Times Cited: 274
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
Kaixuan Chen, Dalin Zhang, Lina Yao, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 259
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
A Review on Machine Learning and Deep Learning Perspectives of IDS for IoT: Recent Updates, Security Issues, and Challenges
Ankit Thakkar, Ritika Lohiya
Archives of Computational Methods in Engineering (2020) Vol. 28, Iss. 4, pp. 3211-3243
Closed Access | Times Cited: 244
A Review of Intrusion Detection Systems Using Machine and Deep Learning in Internet of Things: Challenges, Solutions and Future Directions
Javed Asharf, Nour Moustafa, Hasnat Khurshid, et al.
Electronics (2020) Vol. 9, Iss. 7, pp. 1177-1177
Open Access | Times Cited: 241
Transfer learning for time series classification
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, et al.
2021 IEEE International Conference on Big Data (Big Data) (2018), pp. 1367-1376
Open Access | Times Cited: 237
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
Patterns of Use and Key Predictors for the Use of Wearable Health Care Devices by US Adults: Insights from a National Survey
C. Ranganathan, Vipanchi Katthula, Evangelos Moustakas
Journal of Medical Internet Research (2020) Vol. 22, Iss. 10, pp. e22443-e22443
Open Access | Times Cited: 188
Multidiscipline Applications of Triboelectric Nanogenerators for the Intelligent Era of Internet of Things
Xiaole Cao, Yao Xiong, Jia Sun, et al.
Nano-Micro Letters (2022) Vol. 15, Iss. 1
Open Access | Times Cited: 187
TS-CHIEF: a scalable and accurate forest algorithm for time series classification
Ahmed Shifaz, Charlotte Pelletier, François Petitjean, et al.
Data Mining and Knowledge Discovery (2020) Vol. 34, Iss. 3, pp. 742-775
Open Access | Times Cited: 183
Unification of Blockchain and Internet of Things (BIoT): requirements, working model, challenges and future directions
Bharat Bhushan, Chinmayee Sahoo, Preeti Sinha, et al.
Wireless Networks (2020) Vol. 27, Iss. 1, pp. 55-90
Closed Access | Times Cited: 183
A Survey on Deep Learning for Human Activity Recognition
Fuqiang Gu, Mu-Huan Chung, Mark Chignell, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 8, pp. 1-34
Closed Access | Times Cited: 154
Big Data and Business Analytics: Trends, Platforms, Success Factors and Applications
Ifeyinwa Angela Ajah, Henry Friday Nweke
Big Data and Cognitive Computing (2019) Vol. 3, Iss. 2, pp. 32-32
Open Access | Times Cited: 150
Human activity recognition based on multienvironment sensor data
Yang Li, Guanci Yang, Zhidong Su, et al.
Information Fusion (2022) Vol. 91, pp. 47-63
Closed Access | Times Cited: 148
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