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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:

Towards database-free vision-based monitoring on construction sites: A deep active learning approach
Jinwoo Kim, Jeongbin Hwang, Seokho Chi, et al.
Automation in Construction (2020) Vol. 120, pp. 103376-103376
Open Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Classification and analysis of deep learning applications in construction: A systematic literature review
Rana Khallaf, Mohamed Khallaf
Automation in Construction (2021) Vol. 129, pp. 103760-103760
Closed Access | Times Cited: 123
Deep learning-based data analytics for safety in construction
Jiajing Liu, Hanbin Luo, Junxiao Liu
Automation in Construction (2022) Vol. 140, pp. 104302-104302
Closed Access | Times Cited: 83
Deep-learning-based visual data analytics for smart construction management
Aritra Pal, Shang‐Hsien Hsieh
Automation in Construction (2021) Vol. 131, pp. 103892-103892
Closed Access | Times Cited: 70
Economic development and construction safety research: A bibliometrics approach
Fansong Luo, Rita Yi Man Li, M. James C. Crabbe, et al.
Safety Science (2021) Vol. 145, pp. 105519-105519
Open Access | Times Cited: 68
A vision-based approach for automatic progress tracking of floor paneling in offsite construction facilities
Pablo Martı́nez, Béda Barkokébas, Farook Hamzeh, et al.
Automation in Construction (2021) Vol. 125, pp. 103620-103620
Open Access | Times Cited: 62
Deep learning-based automated productivity monitoring for on-site module installation in off-site construction
Jongyeon Baek, Daeho Kim, Byungjoo Choi
Developments in the Built Environment (2024) Vol. 18, pp. 100382-100382
Open Access | Times Cited: 10
Quantification of water inflow in rock tunnel faces via convolutional neural network approach
Jiayao Chen, Mingliang Zhou, Dongming Zhang, et al.
Automation in Construction (2020) Vol. 123, pp. 103526-103526
Closed Access | Times Cited: 58
Robot-Assisted Object Detection for Construction Automation: Data and Information-Driven Approach
Muhammad Ilyas, Khaw Ying, Muthuchamy Nithish, et al.
IEEE/ASME Transactions on Mechatronics (2021) Vol. 26, Iss. 6, pp. 2845-2856
Open Access | Times Cited: 52
Vision-based excavator pose estimation using synthetically generated datasets with domain randomization
Amin Assadzadeh, Mehrdad Arashpour, Ioannis Brilakis, et al.
Automation in Construction (2021) Vol. 134, pp. 104089-104089
Open Access | Times Cited: 52
A few-shot learning approach for database-free vision-based monitoring on construction sites
Jinwoo Kim, Seokho Chi
Automation in Construction (2021) Vol. 124, pp. 103566-103566
Closed Access | Times Cited: 43
Development of training image database using web crawling for vision-based site monitoring
Jeongbin Hwang, Jinwoo Kim, Seokho Chi, et al.
Automation in Construction (2022) Vol. 135, pp. 104141-104141
Open Access | Times Cited: 36
Synthetic Image Dataset Development for Vision-Based Construction Equipment Detection
Jin Gang Lee, Jeongbin Hwang, Seokho Chi, et al.
Journal of Computing in Civil Engineering (2022) Vol. 36, Iss. 5
Closed Access | Times Cited: 30
Hybrid DNN training using both synthetic and real construction images to overcome training data shortage
Jinwoo Kim, Daeho Kim, Sang Hyun Lee, et al.
Automation in Construction (2023) Vol. 149, pp. 104771-104771
Closed Access | Times Cited: 19
A semi-supervised learning detection method for vision-based monitoring of construction sites by integrating teacher-student networks and data augmentation
Bo Xiao, Yuxuan Zhang, Yuan Chen, et al.
Advanced Engineering Informatics (2021) Vol. 50, pp. 101372-101372
Open Access | Times Cited: 40
Critical Review and Road Map of Automated Methods for Earthmoving Equipment Productivity Monitoring
Chen Chen, Zhenhua Zhu, Amin Hammad
Journal of Computing in Civil Engineering (2022) Vol. 36, Iss. 3
Closed Access | Times Cited: 23
Informativeness‐guided active learning for deep learning–based façade defects detection
Jingjing Guo, Qian Wang, Shu Su, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 17, pp. 2408-2425
Closed Access | Times Cited: 16
Site-optimized training image database development using web-crawled and synthetic images
Jeongbin Hwang, Jung-Hoon Kim, Seokho Chi
Automation in Construction (2023) Vol. 151, pp. 104886-104886
Closed Access | Times Cited: 13
Vision-Based Productivity Monitoring of Tower Crane Operations during Curtain Wall Installation Using a Database-Free Approach
Insoo Jeong, Jeongbin Hwang, Junghoon Kim, et al.
Journal of Computing in Civil Engineering (2023) Vol. 37, Iss. 4
Closed Access | Times Cited: 13
Graph neural network-based propagation effects modeling for detecting visual relationships among construction resources
Jinwoo Kim, Seokho Chi
Automation in Construction (2022) Vol. 141, pp. 104443-104443
Closed Access | Times Cited: 21
Self-supervised contrastive video representation learning for construction equipment activity recognition on limited dataset
Ali Ghelmani, Amin Hammad
Automation in Construction (2023) Vol. 154, pp. 105001-105001
Closed Access | Times Cited: 12
Detection of Blockages of the Belt Conveyor Transfer Point Using an RGB Camera and CNN Autoencoder
Piotr Bortnowski, Horst Gondek, Robert Król, et al.
Energies (2023) Vol. 16, Iss. 4, pp. 1666-1666
Open Access | Times Cited: 11
Hybrid kinematic–visual sensing approach for activity recognition of construction equipment
Jinwoo Kim, Seokho Chi, Changbum R. Ahn
Journal of Building Engineering (2021) Vol. 44, pp. 102709-102709
Open Access | Times Cited: 25
Construction Resource Identification under Complex Conditions of Navigation–Power Junction Project Based on Improved YOLOv8 and Monocular Vision
Geng Zhang, Jiajun Wang, Jun Zhang, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 3
Closed Access
CSOD-24: Construction Site Object Detection Dataset for Safety Monitoring at Construction Site using Deep Learning
M. N. Shrigandhi, Sachin R. Gengaje
Journal of Innovative Image Processing (2025) Vol. 7, Iss. 1, pp. 182-206
Open Access
Balancing AI generalization and specialization: Multi-domain learning for universal computer vision models in construction
Jinwoo Kim
Automation in Construction (2025) Vol. 176, pp. 106279-106279
Closed Access
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