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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:

Lane Image Detection Based on Convolution Neural Network Multi-Task Learning
Junfeng Li, Dehai Zhang, Yu Ma, et al.
Electronics (2021) Vol. 10, Iss. 19, pp. 2356-2356
Open Access | Times Cited: 12

Showing 12 citing articles:

Survey on Multi-Task Learning in Smart Transportation
Mohammed Y. Alzahrani, Qianlong Wang, Weixian Liao, et al.
IEEE Access (2024) Vol. 12, pp. 17023-17044
Open Access | Times Cited: 5
LLDNet: A Lightweight Lane Detection Approach for Autonomous Cars Using Deep Learning
Md. Al-Masrur Khan, Md Foysal Haque, Kazi Rakib Hasan, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5595-5595
Open Access | Times Cited: 22
Improved generalizability of CNN based lane detection in challenging weather using adaptive preprocessing parameter tuning
I-Chen Sang, William R. Norris
Expert Systems with Applications (2025), pp. 127055-127055
Open Access
Multitasking Learning Model Based on Hierarchical Attention Network for Arabic Sentiment Analysis Classification
Muath Alali, Nurfadhlina Mohd Sharef, Masrah Azrifah Azmi Murad, et al.
Electronics (2022) Vol. 11, Iss. 8, pp. 1193-1193
Open Access | Times Cited: 12
Overview of Canny Edge Detection and Hough Transform for Lane Detection
Rachna Shriwas, Yash Bodkhe, A Mane, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 1
QuantLaneNet: A 640-FPS and 34-GOPS/W FPGA-Based CNN Accelerator for Lane Detection
Duc Khai Lam, Cam Vinh Du, Hoai Luan Pham
Sensors (2023) Vol. 23, Iss. 15, pp. 6661-6661
Open Access | Times Cited: 3
Drip-Tape-Following Approach Based on Machine Vision for a Two-Wheeled Robot Trailer in Strip Farming
Chung‐Liang Chang, Hung‐Wen Chen, Yung‐Hsiang Chen, et al.
Agriculture (2022) Vol. 12, Iss. 3, pp. 428-428
Open Access | Times Cited: 5
Multi-Task Learning with Task-Specific Feature Filtering in Low-Data Condition
Sang-Woo Lee, Ryong Lee, Minseok Seo, et al.
Electronics (2021) Vol. 10, Iss. 21, pp. 2691-2691
Open Access | Times Cited: 4
Museum Relic Image Detection and Recognition Based on Deep Learning
Qi Wang, Ling Li
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 2
Application of Neural Data Processing in Autonomous Model Platform—A Complex Review of Solutions, Design and Implementation
Mateusz Malarczyk, Jules‐Raymond Tapamo, Marcin Kamiński
Energies (2022) Vol. 15, Iss. 13, pp. 4766-4766
Open Access | Times Cited: 2
Recent Advances in Computer Vision Technologies for Lane Detection in Autonomous Vehicles
Harshitha Devina Anto, G. Malathi, G. Bharadwaja Kumar, et al.
Algorithms for intelligent systems (2023), pp. 243-258
Closed Access
Road Lane Detection using Convolutional Neural Network
Farjana Farvin Sahapudeen, Sri Sowndarya
International Journal of Advanced Research in Science Communication and Technology (2022), pp. 273-280
Open Access
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