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:

Adversarial Driving: Attacking End-to-End Autonomous Driving
Han Wu, Syed Yunas, Sareh Rowlands, et al.
2022 IEEE Intelligent Vehicles Symposium (IV) (2023), pp. 1-7
Open Access | Times Cited: 15

Showing 15 citing articles:

Recent Advancements in End-to-End Autonomous Driving Using Deep Learning: A Survey
Pranav Singh Chib, Pravendra Singh
IEEE Transactions on Intelligent Vehicles (2023) Vol. 9, Iss. 1, pp. 103-118
Open Access | Times Cited: 66

Mind the Gap! A Study on the Transferability of Virtual Versus Physical-World Testing of Autonomous Driving Systems
Andrea Stocco, Brian Pulfer, Paolo Tonella
IEEE Transactions on Software Engineering (2022) Vol. 49, Iss. 4, pp. 1928-1940
Open Access | Times Cited: 37

Adversarial Deep Learning: A Survey on Adversarial Attacks and Defense Mechanisms on Image Classification
Samer Khamaiseh, Derek Bagagem, Abdullah Al-Alaj, et al.
IEEE Access (2022) Vol. 10, pp. 102266-102291
Open Access | Times Cited: 37

Robust Adversarial Example Detection Algorithm Based on High-Level Feature Differences
Hua Mu, Chenggang Li, Anjie Peng, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1770-1770
Open Access

Image Segmentation Framework for Detecting Adversarial Attacks for Autonomous Driving Cars
Ahmad Fakhr Aldeen Sattout, Ali Chehab, Ammar Mohanna, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1328-1328
Open Access

Adaptive precision layering for efficient adversarial training of deep learning models in intelligent vehicles
Manzoor Hussain, Zhengyu Shang, Jang‐Eui Hong
Expert Systems with Applications (2025), pp. 126752-126752
Open Access

Robustness and Transferability of Adversarial Attacks on Different Image Classification Neural Networks
Kamilya Smagulova, Lina Bacha, Mohammed E. Fouda, et al.
Electronics (2024) Vol. 13, Iss. 3, pp. 592-592
Open Access | Times Cited: 2

Trojan Attack and Defense for Deep Learning-Based Navigation Systems of Unmanned Aerial Vehicles
Mohammed Mynuddin, Sultan Uddin Khan, Reza Ahmari, et al.
IEEE Access (2024) Vol. 12, pp. 89887-89907
Open Access | Times Cited: 1

A Human-in-the-Middle Attack against Object Detection Systems
Han Wu, Sareh Rowlands, Johan Wahlström
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 10, pp. 4884-4892
Open Access | Times Cited: 1

RobustE2E: Exploring the Robustness of End-to-End Autonomous Driving
Wei Jiang, Lu Wang, Tianyuan Zhang, et al.
Electronics (2024) Vol. 13, Iss. 16, pp. 3299-3299
Open Access | Times Cited: 1

Boosting Adversarial Training via Fisher-Rao Norm-Based Regularization
Xiangyu Yin, Wenjie Ruan
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 3, pp. 24544-24553
Closed Access | Times Cited: 1

Exploring Adversarial Robustness of LiDAR Semantic Segmentation in Autonomous Driving
K. T. Y. Mahima, Asanka G. Perera, Sreenatha G. Anavatti, et al.
Sensors (2023) Vol. 23, Iss. 23, pp. 9579-9579
Open Access | Times Cited: 3

High-accuracy low-latency non-maximum suppression processor for traffic object detection
Chenbo Yuan, Peng Xu, Gang Chen
IEICE Electronics Express (2023) Vol. 20, Iss. 23, pp. 20230445-20230445
Open Access

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