OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Graph‐based deep learning model for knowledge base completion in constraint management of construction projects
Chengke Wu, Xiao Li, Rui Jiang, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 6, pp. 702-719
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Graph neural networks for construction applications
Yilong Jia, Jun Wang, Wenchi Shou, et al.
Automation in Construction (2023) Vol. 154, pp. 104984-104984
Closed Access | Times Cited: 26

Roles of Artificial Intelligence and Machine Learning in Enhancing Construction Processes and Sustainable Communities
Kayode O. Kazeem, Timothy O. Olawumi, Temidayo Oluwasola Osunsanmi
Buildings (2023) Vol. 13, Iss. 8, pp. 2061-2061
Open Access | Times Cited: 26

Utilizing Large Language Models to Illustrate Constraints for Construction Planning
Chuanni He, Bei Yu, Min Liu, et al.
Buildings (2024) Vol. 14, Iss. 8, pp. 2511-2511
Open Access | Times Cited: 10

Retrieval augmented generation-driven information retrieval and question answering in construction management
Chengke Wu, Wei Ding, Qiong Jin, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103158-103158
Closed Access | Times Cited: 1

Artificial Intelligence Methods for the Construction and Management of Buildings
Светлана Иванова, Aleksandr Kuznetsov, Roman Zverev, et al.
Sensors (2023) Vol. 23, Iss. 21, pp. 8740-8740
Open Access | Times Cited: 18

A compatible detector based on improved YOLOv5 for hydropower device detection in AR inspection system
Junjie Jiang, Zhile Yang, Chengke Wu, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 120065-120065
Closed Access | Times Cited: 16

Comprehensive digital twin for infrastructure: A novel ontology and graph-based modelling paradigm
Tao Li, Yi Rui, Hehua Zhu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102747-102747
Closed Access | Times Cited: 6

Temporal graph attention network for building thermal load prediction
Yilong Jia, Jun Wang, M. Reza Hosseini, et al.
Energy and Buildings (2023) Vol. 321, pp. 113507-113507
Open Access | Times Cited: 15

Big Data, Data Science, and Artificial Intelligence for Project Management in the Architecture, Engineering, and Construction Industry: A Systematic Review
Sergio Zabala-Vargas, María Jaimes-Quintanilla, Miguel Hernán Jimenez-Barrera
Buildings (2023) Vol. 13, Iss. 12, pp. 2944-2944
Open Access | Times Cited: 14

Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities
Jing Jia, Hongxin Ma, Zijing Zhang
Buildings (2024) Vol. 14, Iss. 4, pp. 911-911
Open Access | Times Cited: 5

Interweaving academic insights: advancing university knowledge management through a strategic data fabric framework
Laesa Kim, Son Nguyen Hoang, Hoa N. Nguyen
Digital Library Perspectives (2025)
Closed Access

A MID-1DC+LRT Multi-Task Model for SOH Assessment and RUL Prediction of Mechanical Systems
Hai Yang, Xudong Yang, Dong Sun, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1368-1368
Open Access

Automatic clash avoidance in steel reinforcement design using explainable graph neural networks and rebar embedding learning
Mingkai Li, Boyu Wang, Xingyu Tao, et al.
Automation in Construction (2025) Vol. 175, pp. 106161-106161
Closed Access

Knowledge‐enhanced graph neural networks for construction material quantity estimation of reinforced concrete buildings
Yifan Fei, Wenjie Liao, Xinzheng Lu, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 4, pp. 518-538
Open Access | Times Cited: 12

Two-list genetic algorithm for optimizing work package schemes to minimize project costs
Yaning Zhang, Xiao Li, Yue Teng, et al.
Automation in Construction (2024) Vol. 165, pp. 105595-105595
Closed Access | Times Cited: 4

Intention‐aware robot motion planning for safe worker–robot collaboration
Yizhi Liu, Houtan Jebelli
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 15, pp. 2242-2269
Open Access | Times Cited: 9

Lean Construction Strategies Supported by Artificial Intelligence Techniques for Construction Project Management—A Review
Lesly Velezmoro-Abanto, Rocío Cuba-Lagos, Bryan Taico-Valverde, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2024) Vol. 20, Iss. 03, pp. 99-114
Open Access | Times Cited: 3

Artificial Intelligence in Open Innovation Project Management: A Systematic Literature Review on Technologies, Applications, and Integration Requirements
Moonita Limiany Prasetyo, Rosliyana Perangin-Angin, Nada Martinovic, et al.
Journal of Open Innovation Technology Market and Complexity (2024), pp. 100445-100445
Open Access | Times Cited: 3

A teacher–student deep learning strategy for extreme low resolution unsafe action recognition in construction projects
Meng Yang, Chengke Wu, Yuanjun Guo, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102294-102294
Closed Access | Times Cited: 8

Application of Emerging Technologies to Improve Construction Performance
Shuyuan Xu, Jun Wang, Yong Liu, et al.
Buildings (2023) Vol. 13, Iss. 5, pp. 1147-1147
Open Access | Times Cited: 7

Quantifying the reliability of defects located by bridge inspectors through human observation behavioral analysis
Pengkun Liu, Ying Shi, Ruoxin Xiong, et al.
Developments in the Built Environment (2023) Vol. 14, pp. 100167-100167
Open Access | Times Cited: 7

Innovative agricultural ontology construction using NLP methodologies and graph neural network
Krithikha Sanju Saravanan, Velammal Bhagavathiappan
Engineering Science and Technology an International Journal (2024) Vol. 52, pp. 101675-101675
Open Access | Times Cited: 2

From raw to refined: Data preprocessing for construction machine learning (ML), deep learning (DL), and reinforcement learning (RL) models
SeyedeZahra Golazad, Abbas Mohammadi, Abbas Rashidi, et al.
Automation in Construction (2024) Vol. 168, pp. 105844-105844
Closed Access | Times Cited: 2

Real‐time ergonomic risk assessment in construction using a co‐learning‐powered 3D human pose estimation model
Wang Chen, Donglian Gu, Jintao Ke
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 9, pp. 1337-1353
Open Access | Times Cited: 5

Page 1 - Next Page

Scroll to top