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:

Distributed Acoustic Sensor Systems for Vehicle Detection and Classification
Chia-Yen Chiang, Mona Jaber, Kok Keong Chai, et al.
IEEE Access (2023) Vol. 11, pp. 31293-31303
Open Access | Times Cited: 16

Showing 16 citing articles:

An Optical Frequency Domain Reflectometer’s (OFDR) Performance Improvement via Empirical Mode Decomposition (EMD) and Frequency Filtration for Smart Sensing
М. Е. Белокрылов, Dmitry A. Kambur, Yuri A. Konstantinov, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1253-1253
Open Access | Times Cited: 11

YOLO-CCS: Vehicle detection algorithm based on coordinate attention mechanism
Yuhua Li, Mengyue Zhang, Chunyu Zhang, et al.
Digital Signal Processing (2024) Vol. 153, pp. 104632-104632
Closed Access | Times Cited: 10

IoT and machine learning for enabling sustainable development goals
Mona Jaber
Frontiers in Communications and Networks (2023) Vol. 4
Open Access | Times Cited: 11

Acoustic Events Detection and Classification for Urban DAS Data with Supervised Learning
Yichen Zhong, Chen Gu, G. A. Prieto, et al.
Seismological Research Letters (2025)
Closed Access

Harnessing the Power of IOT for Next-Gen Intelligent Traffic System
Shashank Shekhar, Manish Kumar, Priyanka Tyagi
Lecture notes in networks and systems (2025), pp. 153-163
Closed Access

Urban traffic monitoring through Distributed Acoustic Sensing: Trial analysis of a potent monitoring tool
Izhan Fakhruzi, Manuel Títos, Carmen Benı́tez, et al.
Measurement (2025), pp. 117668-117668
Open Access

A Distributed Acoustic Sensor System for Intelligent Transportation using Deep Learning
Chia-Yen Chiang, Ruikang Zhong, Mona Jaber, et al.
IEEE Internet of Things Magazine (2024) Vol. 7, Iss. 5, pp. 88-96
Open Access | Times Cited: 3

Real-Time Vehicle Identification for Improving the Traffic Management system-A Review
Sanjay S Tippannavar, S D Yashwanth
Journal of Trends in Computer Science and Smart Technology (2023) Vol. 5, Iss. 3, pp. 323-342
Open Access | Times Cited: 8

Enhancing Sustainable Transportation Infrastructure Management: A High-Accuracy, FPGA-Based System for Emergency Vehicle Classification
Pemila Mani, Pongiannan Rakkiya Goundar Komarasamy, R. Narayanamoorthi, et al.
Sustainability (2024) Vol. 16, Iss. 16, pp. 6917-6917
Open Access | Times Cited: 2

Acoustic Vehicle Classification using Deep Learning Trained on a Spectrogram and Scalogram Fusion
Khairul Khaizi Mohd Shariff, Rajeswari Raju, Ahmad Ihsan Mohd Yassin, et al.
(2024)
Open Access | Times Cited: 1

SEED-Net: A High-Performance Phase Demodulation Network for DAS
Shibo Zhang, Zhenyu Ye, Anchi Wan, et al.
Journal of Lightwave Technology (2024) Vol. 42, Iss. 23, pp. 8517-8524
Closed Access

Distributed Acoustic Sensor System for Vehicle Occupancy Detection
Ruikang Zhong, Chia-Yen Chiang, Mona Jabor
(2024), pp. 132-137
Closed Access

Multimodal Vehicle Classification Based on Radar and Acoustic Sensors Using Hybrid Shallow CNN
Aida Yasmin Yazli, Khairul Khaizi Mohd Shariff, Syed Abdul Mutalib Al Junid Syed Abdul Rahman, et al.
(2024), pp. 264-268
Closed Access

Neural Networks-based Convenient Fiber Optic Sensing System for Vehicle Classification
Yi Hu, Hongwei Zhang, Yuan Gao, et al.
KSCE Journal of Civil Engineering (2024), pp. 100043-100043
Open Access

Hierarchical Domain Prior CycleGAN: Translated Satellites ISAR Image from the Optical Domain
Huaizhang Liao, Jingyuan Xia, Zhixiong Yang, et al.
2021 China Automation Congress (CAC) (2023), pp. 1658-1662
Closed Access

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