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:

V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer
Runsheng Xu, Hao Xiang, Zhengzhong Tu, et al.
Lecture notes in computer science (2022), pp. 107-124
Closed Access | Times Cited: 200

Showing 1-25 of 200 citing articles:

MaxViT: Multi-axis Vision Transformer
Zhengzhong Tu, Hossein Talebi, Han Zhang, et al.
Lecture notes in computer science (2022), pp. 459-479
Closed Access | Times Cited: 361

YOLOv5-Tassel: Detecting Tassels in RGB UAV Imagery With Improved YOLOv5 Based on Transfer Learning
Wei Liu, Karoll Quijano, Melba M. Crawford
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 8085-8094
Closed Access | Times Cited: 201

HYDRO-3D: Hybrid Object Detection and Tracking for Cooperative Perception Using 3D LiDAR
Zonglin Meng, Xin Xia, Runsheng Xu, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 8, Iss. 8, pp. 4069-4080
Open Access | Times Cited: 112

Multi-Modal 3D Object Detection in Autonomous Driving: A Survey and Taxonomy
Li Wang, Xinyu Zhang, Ziying Song, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 8, Iss. 7, pp. 3781-3798
Closed Access | Times Cited: 90

VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion
Yiming Li, Zhiding Yu, Christopher Choy, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 9087-9098
Open Access | Times Cited: 89

Transportation 5.0: The DAO to Safe, Secure, and Sustainable Intelligent Transportation Systems
Fei‐Yue Wang, Yilun Lin, Pétros Ioannou, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 10, pp. 10262-10278
Closed Access | Times Cited: 89

V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception
Runsheng Xu, Xin Xia, Jinlong Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 81

Learning for Vehicle-to-Vehicle Cooperative Perception Under Lossy Communication
Jinlong Li, Runsheng Xu, Xinyu Liu, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 8, Iss. 4, pp. 2650-2660
Open Access | Times Cited: 63

TPH-YOLOv5++: Boosting Object Detection on Drone-Captured Scenarios with Cross-Layer Asymmetric Transformer
Qi Zhao, Binghao Liu, Shuchang Lyu, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1687-1687
Open Access | Times Cited: 59

A Systematic Survey of Control Techniques and Applications in Connected and Automated Vehicles
Wei Liu, Min Hua, Zhiyun Deng, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 24, pp. 21892-21916
Open Access | Times Cited: 57

Collaborative Perception in Autonomous Driving: Methods, Datasets, and Challenges
Yushan Han, Hui Zhang, Huifang Li, et al.
IEEE Intelligent Transportation Systems Magazine (2023) Vol. 15, Iss. 6, pp. 131-151
Open Access | Times Cited: 50

The OpenCDA Open-Source Ecosystem for Cooperative Driving Automation Research
Runsheng Xu, Hao Xiang, Xu Han, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 8, Iss. 4, pp. 2698-2711
Open Access | Times Cited: 41

Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges
Vishnu Pandi Chellapandi, Liangqi Yuan, Christopher G. Brinton, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 9, Iss. 1, pp. 119-137
Open Access | Times Cited: 40

DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving
Tianqi Wang, Suk-Min Kim, Ji Wenxuan, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 6, pp. 5599-5606
Open Access | Times Cited: 22

Vehicle-to-Everything Communication in Intelligent Connected Vehicles: A Survey and Taxonomy
Xinyu Zhang, LI Jun-xian, Jingyi Zhou, et al.
Automotive Innovation (2025)
Open Access | Times Cited: 1

Latency-Aware Collaborative Perception
Zixing Lei, Shunli Ren, Yue Hu, et al.
Lecture notes in computer science (2022), pp. 316-332
Closed Access | Times Cited: 54

Federated Vehicular Transformers and Their Federations: Privacy-Preserving Computing and Cooperation for Autonomous Driving
Yonglin Tian, Jiangong Wang, Yutong Wang, et al.
IEEE Transactions on Intelligent Vehicles (2022) Vol. 7, Iss. 3, pp. 456-465
Closed Access | Times Cited: 47

Robust Collaborative 3D Object Detection in Presence of Pose Errors
Yifan Lu, Quanhao Li, Baoan Liu, et al.
(2023), pp. 4812-4818
Open Access | Times Cited: 36

Bridging the Domain Gap for Multi-Agent Perception
Runsheng Xu, Jinlong Li, Xiaoyu Dong, et al.
(2023), pp. 6035-6042
Open Access | Times Cited: 35

Multi-Sensor Fusion and Cooperative Perception for Autonomous Driving: A Review
Chao Xiang, Feng Chen, Xiaopo Xie, et al.
IEEE Intelligent Transportation Systems Magazine (2023) Vol. 15, Iss. 5, pp. 36-58
Closed Access | Times Cited: 34

Model-Agnostic Multi-Agent Perception Framework
Runsheng Xu, Weizhe Chen, Hao Xiang, et al.
(2023), pp. 1471-1478
Open Access | Times Cited: 32

EdgeCooper: Network-Aware Cooperative LiDAR Perception for Enhanced Vehicular Awareness
Guiyang Luo, Chongzhang Shao, Nan Cheng, et al.
IEEE Journal on Selected Areas in Communications (2023) Vol. 42, Iss. 1, pp. 207-222
Open Access | Times Cited: 32

BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection
Lei Yang, Kaicheng Yu, Tao Tang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 30

Uncertainty Quantification of Collaborative Detection for Self-Driving
Sanbao Su, Yiming Li, Sihong He, et al.
(2023), pp. 5588-5594
Open Access | Times Cited: 29

Collaboration Helps Camera Overtake LiDAR in 3D Detection
Yue Hu, Yifan Lu, Runsheng Xu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 9243-9252
Open Access | Times Cited: 29

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