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:

STC-YOLO: Small Object Detection Network for Traffic Signs in Complex Environments
Huaqing Lai, Liangyan Chen, Weihua Liu, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5307-5307
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

YOLO-SE: Improved YOLOv8 for Remote Sensing Object Detection and Recognition
Tianyong Wu, Youkou Dong
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 12977-12977
Open Access | Times Cited: 69

Precision and speed: LSOD-YOLO for lightweight small object detection
Hezheng Wang, Jiahui Liu, Jian Zhao, et al.
Expert Systems with Applications (2025) Vol. 269, pp. 126440-126440
Closed Access | Times Cited: 1

Evolving Traffic Sign Detection via Multi-scale Feature Enhancement, Reconstruction and Fusion
Yu Sun, Xian Li, Dongjie Zhao, et al.
Digital Signal Processing (2025), pp. 105028-105028
Closed Access | Times Cited: 1

RSI-YOLO: Object Detection Method for Remote Sensing Images Based on Improved YOLO
Zhuang Li, Yuan Jian-hui, Guixiang Li, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6414-6414
Open Access | Times Cited: 22

Starting from the structure: A review of small object detection based on deep learning
Zheng Xiuling, Huijuan Wang, Shang Yu, et al.
Image and Vision Computing (2024) Vol. 146, pp. 105054-105054
Closed Access | Times Cited: 10

EDN-YOLO: Multi-scale traffic sign detection method in complex scenes
Yanjiang Han, Fengping Wang, Wei Wang, et al.
Digital Signal Processing (2024) Vol. 153, pp. 104615-104615
Closed Access | Times Cited: 9

DCW-YOLO: Road Object Detection Algorithms for Autonomous Driving
Hongge Ren, Fangke Jing, Song Li
IEEE Access (2024), pp. 1-1
Open Access | Times Cited: 8

YOLOv8-MPEB small target detection algorithm based on UAV images
Wenyuan Xu, Chuang Cui, Yongcheng Ji, et al.
Heliyon (2024) Vol. 10, Iss. 8, pp. e29501-e29501
Open Access | Times Cited: 7

SOD-YOLOv8—Enhancing YOLOv8 for Small Object Detection in Aerial Imagery and Traffic Scenes
Boshra Khalili, Andrew W. Smyth
Sensors (2024) Vol. 24, Iss. 19, pp. 6209-6209
Open Access | Times Cited: 6

Improved Detection Method for Micro-Targets in Remote Sensing Images
Linhua Zhang, Ning Xiong, Wuyang Gao, et al.
Information (2024) Vol. 15, Iss. 2, pp. 108-108
Open Access | Times Cited: 4

Improving the Multi-scale Object Detection Method of YOLOv5s for Autonomous Driving
Ying Li, Guifang Wang, Jialu Wang, et al.
Lecture notes in electrical engineering (2025), pp. 108-119
Closed Access

Detection of small defects on packaging prints under sample-few conditions
Haiwen Liu, Yuanlin Zheng, Kaiyang Liao, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 4
Closed Access

An Improved YOLO Model for Traffic Signs Small Target Image Detection
Tianxin Han, Lina Sun, Qing Dong
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8754-8754
Open Access | Times Cited: 8

CTM-YOLOv8n: A Lightweight Pedestrian Traffic-Sign Detection and Recognition Model with Advanced Optimization
Qiang Chen, Zhongmou Dai, Yi Xu, et al.
World Electric Vehicle Journal (2024) Vol. 15, Iss. 7, pp. 285-285
Open Access | Times Cited: 2

A universal traffic sign detection system using a novel self-training neural network modeling approach
Amy J.C. Trappey, Ovid T.C. Shen
Advanced Engineering Informatics (2024) Vol. 62, pp. 102674-102674
Closed Access | Times Cited: 2

Lightweight Network DCR-YOLO for Surface Defect Detection on Printed Circuit Boards
Yuanyuan Jiang, Mengnan Cai, Dong Zhang
Sensors (2023) Vol. 23, Iss. 17, pp. 7310-7310
Open Access | Times Cited: 6

LPO-YOLOv5s: A Lightweight Pouring Robot Object Detection Algorithm
Kanghui Zhao, Biaoxiong Xie, Xingang Miao, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6399-6399
Open Access | Times Cited: 5

An infrared small target detection model via Gather-Excite attention and normalized Wasserstein distance
Kangjian Sun, Ju Huo, Qi Liu, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 11, pp. 19040-19064
Open Access | Times Cited: 4

A Study on the Performance Improvement of a Conical Bucket Detection Algorithm Based on YOLOv8s
Xu Li, Gang Li, Zhe Zhang
World Electric Vehicle Journal (2024) Vol. 15, Iss. 6, pp. 238-238
Open Access | Times Cited: 1

A Hybrid Feature Fusion Traffic Sign Detection Algorithm Based on YOLOv7
Bingyi Ren, Juwei Zhang, Tong Wang
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 80, Iss. 1, pp. 1425-1440
Open Access | Times Cited: 1

HP-YOLOv8: High-Precision Small Object Detection Algorithm for Remote Sensing Images
Guangzhen Yao, Sandong Zhu, Long Zhang, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 4858-4858
Open Access | Times Cited: 1

A Yolov8-CE-based real-time traffic sign detection and identification method for autonomous vehicles
Yuechen Luo, Yusheng Ci, Hexin Zhang, et al.
Digital Transportation and Safety (2024) Vol. 3, Iss. 3, pp. 82-91
Closed Access | Times Cited: 1

Improved YOLOv8 for small traffic sign detection under complex environmental conditions
Bin Ji, Jiafeng Xu, Yang Liu, et al.
Franklin Open (2024), pp. 100167-100167
Open Access | Times Cited: 1

In-depth review of AI-enabled unmanned aerial vehicles: trends, vision, and challenges
Osim Kumar Pal, Md Sakib Hossain Shovon, M. F. Mridha, et al.
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 1

MFF-YOLO: An Accurate Model for Detecting Tunnel Defects Based on Multi-Scale Feature Fusion
Анфу Жу, Bin Wang, Jiaxiao Xie, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6490-6490
Open Access | Times Cited: 3

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