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:

Automatic high-level motion sequencing methods for enabling multi-tasking construction robots
Xi Wang, Shuoqi Wang, Carol C. Menassa, et al.
Automation in Construction (2023) Vol. 155, pp. 105071-105071
Open Access | Times Cited: 14

Showing 14 citing articles:

Developing an integrative framework for digital twin applications in the building construction industry: A systematic literature review
Wuyan Long, Zhikang Bao, Ke Chen, et al.
Advanced Engineering Informatics (2024) Vol. 59, pp. 102346-102346
Closed Access | Times Cited: 29

Robotic motion planning for autonomous in-situ construction of building structures
Cong Zhao, Jianye Chen, Tong Sun, et al.
Automation in Construction (2025) Vol. 171, pp. 105993-105993
Closed Access | Times Cited: 1

Natural language instructions for intuitive human interaction with robotic assistants in field construction work
Somin Park, Xi Wang, Carol C. Menassa, et al.
Automation in Construction (2024) Vol. 161, pp. 105345-105345
Open Access | Times Cited: 10

FedHIP: Federated learning for privacy-preserving human intention prediction in human-robot collaborative assembly tasks
Jiannan Cai, Zhidong Gao, Yuanxiong Guo, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102411-102411
Closed Access | Times Cited: 6

Enabling Building Information Model-driven human-robot collaborative construction workflows with closed-loop digital twins
Xi Wang, Hongrui Yu, Wes McGee, et al.
Computers in Industry (2024) Vol. 161, pp. 104112-104112
Closed Access | Times Cited: 5

Embodied AI for dexterity-capable construction Robots: DEXBOT framework
Hengxu You, Tianyu Zhou, Qi Zhu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102572-102572
Closed Access | Times Cited: 3

A perfect storm: Digital twins, cybersecurity, and general contracting firms
Erika Pärn, Nikdokht Ghadiminia, Borja García de Soto, et al.
Developments in the Built Environment (2024) Vol. 18, pp. 100466-100466
Open Access | Times Cited: 3

Integrating Large Language Models with Multimodal Virtual Reality Interfaces to Support Collaborative Human–Robot Construction Work
Somin Park, Carol C. Menassa, Vineet R. Kamat
Journal of Computing in Civil Engineering (2024) Vol. 39, Iss. 1
Closed Access | Times Cited: 3

Genealogy of construction robotics
Tingpeng Wang, Chao Mao, Bing Sun, et al.
Automation in Construction (2024) Vol. 166, pp. 105607-105607
Closed Access | Times Cited: 2

Digital Twins in Construction: Architecture, Applications, Trends and Challenges
Yang Zhou, Chao Tang, Tongrui Zhang, et al.
Buildings (2024) Vol. 14, Iss. 9, pp. 2616-2616
Open Access | Times Cited: 2

Cloud-Based Hierarchical Imitation Learning for Scalable Transfer of Construction Skills from Human Workers to Assisting Robots
Hongrui Yu, Vineet R. Kamat, Carol C. Menassa
Journal of Computing in Civil Engineering (2024) Vol. 38, Iss. 4
Open Access | Times Cited: 1

System Design for Sensing in Manufacturing to Apply AI through Hierarchical Abstraction Levels
Georgios Sopidis, Michael Haslgrübler, Behrooz Azadi, et al.
Sensors (2024) Vol. 24, Iss. 14, pp. 4508-4508
Open Access

Competencies for Human-Robot Collaboration in the Construction Industry – Academia’s Perspective
Ebenezer Omoniyi Olukanni, Abiola Akanmu, Houtan Jebelli, et al.
International Journal of Construction Education and Research (2024) Vol. 20, Iss. 4, pp. 444-463
Closed Access

Construction Robotics and Automation [TC Spot Light]
Iro Armeni, Jingdao Chen, Chen Feng, et al.
IEEE Robotics & Automation Magazine (2024) Vol. 31, Iss. 4, pp. 186-192
Closed Access

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