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:

Fall Detection Using Deep Learning in Range-Doppler Radars
Branka Jokanović, Moeness G. Amin
IEEE Transactions on Aerospace and Electronic Systems (2017) Vol. 54, Iss. 1, pp. 180-189
Closed Access | Times Cited: 224

Showing 1-25 of 224 citing articles:

MIMO Radar for Advanced Driver-Assistance Systems and Autonomous Driving: Advantages and Challenges
Shunqiao Sun, Athina P. Petropulu, H. Vincent Poor
IEEE Signal Processing Magazine (2020) Vol. 37, Iss. 4, pp. 98-117
Closed Access | Times Cited: 398

Radar-Based Human-Motion Recognition With Deep Learning: Promising Applications for Indoor Monitoring
Sevgi Zübeyde Gürbüz, Moeness G. Amin
IEEE Signal Processing Magazine (2019) Vol. 36, Iss. 4, pp. 16-28
Closed Access | Times Cited: 332

A Survey of Deep Learning-Based Human Activity Recognition in Radar
Xinyu Li, Yuan He, Xiaojun Jing
Remote Sensing (2019) Vol. 11, Iss. 9, pp. 1068-1068
Open Access | Times Cited: 242

Research of Fall Detection and Fall Prevention Technologies: A Systematic Review
Lingmei Ren, Yanjun Peng
IEEE Access (2019) Vol. 7, pp. 77702-77722
Open Access | Times Cited: 201

Continuous Human Activity Classification From FMCW Radar With Bi-LSTM Networks
Aman Shrestha, Haobo Li, Julien Le Kernec, et al.
IEEE Sensors Journal (2020) Vol. 20, Iss. 22, pp. 13607-13619
Open Access | Times Cited: 168

Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations
Tobore Igbe, Jingzhen Li, Yuhang Liu, et al.
JMIR mhealth and uhealth (2019) Vol. 7, Iss. 8, pp. e11966-e11966
Open Access | Times Cited: 161

Fall detection system for elderly people using IoT and ensemble machine learning algorithm
Diana Yacchirema, Jara Suárez de Puga, Carlos E. Palau, et al.
Personal and Ubiquitous Computing (2019) Vol. 23, Iss. 5-6, pp. 801-817
Open Access | Times Cited: 156

RF Sensing Technologies for Assisted Daily Living in Healthcare: A Comprehensive Review
Syed Aziz Shah, Francesco Fioranelli
IEEE Aerospace and Electronic Systems Magazine (2019) Vol. 34, Iss. 11, pp. 26-44
Open Access | Times Cited: 146

Micro-Doppler Based Target Recognition With Radars: A Review
Ali Hanif, Muhammad Muaz, Azhar Hasan, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 4, pp. 2948-2961
Open Access | Times Cited: 68

Integrated Sensing and Communications: Recent Advances and Ten Open Challenges
Shihang Lu, Fan Liu, Yunxin Li, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 11, pp. 19094-19120
Open Access | Times Cited: 39

RF-Based Fall Monitoring Using Convolutional Neural Networks
Yonglong Tian, Guang-He Lee, Hao He, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2018) Vol. 2, Iss. 3, pp. 1-24
Closed Access | Times Cited: 143

Toward Unobtrusive In-Home Gait Analysis Based on Radar Micro-Doppler Signatures
Ann-Kathrin Seifert, Moeness G. Amin, Abdelhak M. Zoubir
IEEE Transactions on Biomedical Engineering (2019) Vol. 66, Iss. 9, pp. 2629-2640
Open Access | Times Cited: 131

A Study on Radar Target Detection Based on Deep Neural Networks
Li Wang, Jun Tang, Qingmin Liao
IEEE Sensors Letters (2019) Vol. 3, Iss. 3, pp. 1-4
Closed Access | Times Cited: 127

Practical classification of different moving targets using automotive radar and deep neural networks
Aleksandar Angelov, Andrew Robertson, Roderick Murray‐Smith, et al.
IET Radar Sonar & Navigation (2018) Vol. 12, Iss. 10, pp. 1082-1089
Open Access | Times Cited: 110

Cognitive radar antenna selection via deep learning
Ahmet M. Elbir, Kumar Vijay Mishra, Yonina C. Eldar
IET Radar Sonar & Navigation (2019) Vol. 13, Iss. 6, pp. 871-880
Open Access | Times Cited: 106

Deep Learning-based Object Classification on Automotive Radar Spectra
Kanil Patel, Kilian Rambach, Tristan Visentin, et al.
2022 IEEE Radar Conference (RadarConf22) (2019), pp. 1-6
Closed Access | Times Cited: 102

Latest Research Trends in Gait Analysis Using Wearable Sensors and Machine Learning: A Systematic Review
Abdul Saboor, Triin Kask, Alar Kuusik, et al.
IEEE Access (2020) Vol. 8, pp. 167830-167864
Open Access | Times Cited: 92

Detecting Fatigue Status of Pilots Based on Deep Learning Network Using EEG Signals
Edmond Q. Wu, Ping-Yu Deng, Xuyi Qiu, et al.
IEEE Transactions on Cognitive and Developmental Systems (2020) Vol. 13, Iss. 3, pp. 575-585
Closed Access | Times Cited: 85

Radar Data Cube Processing for Human Activity Recognition Using Multisubspace Learning
Barış Erol, Moeness G. Amin
IEEE Transactions on Aerospace and Electronic Systems (2019) Vol. 55, Iss. 6, pp. 3617-3628
Closed Access | Times Cited: 84

An IoT based device-type invariant fall detection system
Sheikh Nooruddin, Md. Milon Islam, Falguni Ahmed Sharna
Internet of Things (2019) Vol. 9, pp. 100130-100130
Closed Access | Times Cited: 84

Motion Classification Using Kinematically Sifted ACGAN-Synthesized Radar Micro-Doppler Signatures
Barış Erol, Sevgi Zübeyde Gürbüz, Moeness G. Amin
IEEE Transactions on Aerospace and Electronic Systems (2020) Vol. 56, Iss. 4, pp. 3197-3213
Open Access | Times Cited: 82

Application of Deep Learning on Millimeter-Wave Radar Signals: A Review
Fahad Jibrin Abdu, Yixiong Zhang, Maozhong Fu, et al.
Sensors (2021) Vol. 21, Iss. 6, pp. 1951-1951
Open Access | Times Cited: 70

mmFall: Fall Detection Using 4-D mmWave Radar and a Hybrid Variational RNN AutoEncoder
Feng Jin, Arindam Sengupta, Siyang Cao
IEEE Transactions on Automation Science and Engineering (2020) Vol. 19, Iss. 2, pp. 1245-1257
Open Access | Times Cited: 69

Deep Learning-Based UAV Detection in Pulse-Doppler Radar
Chenxing Wang, Jiangmin Tian, Jiuwen Cao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-12
Closed Access | Times Cited: 65

Human Activity Classification Based on Point Clouds Measured by Millimeter Wave MIMO Radar With Deep Recurrent Neural Networks
Youngwook Kim, Ibrahim Alnujaim, Daegun Oh
IEEE Sensors Journal (2021) Vol. 21, Iss. 12, pp. 13522-13529
Closed Access | Times Cited: 60

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