Weili Fang

4.0k total citations · 6 hit papers
45 papers, 3.1k citations indexed

About

Weili Fang is a scholar working on Radiological and Ultrasound Technology, Civil and Structural Engineering and Management Science and Operations Research. According to data from OpenAlex, Weili Fang has authored 45 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiological and Ultrasound Technology, 17 papers in Civil and Structural Engineering and 15 papers in Management Science and Operations Research. Recurrent topics in Weili Fang's work include Occupational Health and Safety Research (32 papers), Infrastructure Maintenance and Monitoring (17 papers) and Construction Project Management and Performance (14 papers). Weili Fang is often cited by papers focused on Occupational Health and Safety Research (32 papers), Infrastructure Maintenance and Monitoring (17 papers) and Construction Project Management and Performance (14 papers). Weili Fang collaborates with scholars based in Australia, China and Singapore. Weili Fang's co-authors include Peter E.D. Love, Hanbin Luo, Lieyun Ding, Botao Zhong, Xi Ouyang, Shuangjie Xu, Heng Li, Jane Matthews, Cheng Zhou and Lavagnon A. Ika and has published in prestigious journals such as Journal of Cleaner Production, IEEE Transactions on Fuzzy Systems and International Journal of Information Management.

In The Last Decade

Weili Fang

44 papers receiving 3.0k citations

Hit Papers

A deep hybrid learning model to detect unsafe behavior: I... 2017 2026 2020 2023 2017 2018 2018 2019 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory
    2017 382 citations Lieyun Ding, Weili Fang et al. Automation in Construction profile →
  2. Falls from heights: A computer vision-based approach for safety harness detection
    2018 329 citations Weili Fang, Lieyun Ding et al. Automation in Construction profile →
  3. Automated detection of workers and heavy equipment on construction sites: A convolutional neural network approach
    2018 251 citations Weili Fang, Lieyun Ding et al. Advanced Engineering Informatics profile →
  4. Computer vision for behaviour-based safety in construction: A review and future directions
    2019 229 citations Weili Fang, Peter E.D. Love et al. Advanced Engineering Informatics profile →
  5. A deep learning-based approach for mitigating falls from height with computer vision: Convolutional neural network
    2019 205 citations Weili Fang, Peter E.D. Love et al. Advanced Engineering Informatics profile →
  6. Computer vision applications in construction safety assurance
    2019 191 citations Weili Fang, Lieyun Ding et al. Automation in Construction profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Weili Fang Australia 26 1.5k 1.2k 867 544 431 45 3.1k
Botao Zhong China 31 1.3k 0.9× 1.0k 0.9× 1.1k 1.3× 623 1.1× 481 1.1× 65 3.7k
Xiaochun Luo Hong Kong 28 1.2k 0.8× 1.5k 1.3× 1.1k 1.3× 286 0.5× 211 0.5× 69 3.5k
Seokho Chi South Korea 30 864 0.6× 835 0.7× 769 0.9× 297 0.5× 304 0.7× 117 2.6k
Brenda McCabe Canada 32 987 0.7× 638 0.5× 945 1.1× 134 0.2× 540 1.3× 87 2.8k
Amin Hammad Canada 37 691 0.5× 1.5k 1.2× 2.4k 2.8× 198 0.4× 166 0.4× 198 4.4k
Yong K. Cho United States 38 831 0.6× 1.2k 1.0× 1.7k 2.0× 137 0.3× 194 0.5× 172 4.3k
Javier Irizarry United States 29 701 0.5× 515 0.4× 1.8k 2.1× 124 0.2× 281 0.7× 100 3.6k
Yue Pan China 29 251 0.2× 1.1k 1.0× 1.1k 1.3× 439 0.8× 163 0.4× 77 3.4k
Hubo Cai United States 31 458 0.3× 835 0.7× 887 1.0× 153 0.3× 107 0.2× 126 2.5k
Lúcio Soibelman United States 36 336 0.2× 1.0k 0.9× 1.7k 2.0× 392 0.7× 100 0.2× 144 4.0k

Countries citing papers authored by Weili Fang

Since Specialization
Citations

This map shows the geographic impact of Weili Fang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Weili Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weili Fang more than expected).

Fields of papers citing papers by Weili Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weili Fang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Weili Fang. The network helps show where Weili Fang may publish in the future.

Co-authorship network of co-authors of Weili Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Weili Fang. A scholar is included among the top collaborators of Weili Fang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weili Fang. Weili Fang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ma, Ling, et al.. (2024). An MCDM-GIS framework for assessing flooding resilience of urban metro systems. International Journal of Disaster Risk Reduction. 113. 104824–104824. 5 indexed citations
2.
Chen, Ke, et al.. (2024). Artificial intelligence in infrastructure construction: A critical review. Frontiers of Engineering Management. 12(1). 24–38. 19 indexed citations
3.
Xu, Sheng, et al.. (2024). VR-Based Technologies: Improving Safety Training Effectiveness for a Heterogeneous Workforce from a Physiological Perspective. Journal of Management in Engineering. 40(5). 4 indexed citations
4.
Love, Peter E.D., et al.. (2023). Out with the Old, in with the New, Introducing Quality II: A New Paradigm in Construction. SSRN Electronic Journal.
5.
Chen, Ke, et al.. (2022). The technology-environment relationship revisited: Evidence from the impact of prefabrication on reducing construction waste. Journal of Cleaner Production. 341. 130883–130883. 38 indexed citations
6.
Matthews, Jane, et al.. (2022). Smart data and business analytics: A theoretical framework for managing rework risks in mega-projects. International Journal of Information Management. 65. 102495–102495. 35 indexed citations
7.
Love, Peter E.D., Jane Matthews, Lavagnon A. Ika, & Weili Fang. (2022). Error culture and its impact on rework: An exploration of norms and practices in a transport mega-project. Developments in the Built Environment. 10. 100067–100067. 22 indexed citations
8.
Matthews, Jane, Peter E.D. Love, Lavagnon A. Ika, & Weili Fang. (2022). Error aversion or management? Exploring the impact of culture at the sharp-end of production in a mega-project. Developments in the Built Environment. 10. 100074–100074. 17 indexed citations
9.
Love, Peter E.D., et al.. (2022). A systemic model for implementing land value capture to support urban rail transit infrastructure projects. Transportation Research Part A Policy and Practice. 156. 90–112. 14 indexed citations
10.
11.
Love, Peter E.D., Jane Matthews, Lavagnon A. Ika, et al.. (2021). From Quality-I to Quality-II: cultivating an error culture to support lean thinking and rework mitigation in infrastructure projects. Production Planning & Control. 34(9). 812–829. 26 indexed citations
12.
Fang, Weili, et al.. (2021). Computer vision approaches for detecting missing barricades. Automation in Construction. 131. 103862–103862. 37 indexed citations
13.
Love, Peter E.D., Jane Matthews, & Weili Fang. (2021). Reflections on the Risk and Uncertainty of Rework in Construction. Journal of Construction Engineering and Management. 147(4). 12 indexed citations
14.
Love, Peter E.D., Lavagnon A. Ika, Jane Matthews, & Weili Fang. (2021). Risk and Uncertainty in the Cost Contingency of Transport Projects: Accommodating Bias or Heuristics, or Both?. IEEE Transactions on Engineering Management. 71. 205–219. 27 indexed citations
15.
Love, Peter E.D., Jane Matthews, & Weili Fang. (2020). Rework in Construction: A Focus on Error and Violation. Journal of Construction Engineering and Management. 146(9). 22 indexed citations
16.
Love, Peter E.D., Jane Matthews, & Weili Fang. (2020). Envisioning Rework in Practice: Emergent Insights from a Longitudinal Study. Journal of Construction Engineering and Management. 147(1). 2 indexed citations
17.
Love, Peter E.D., et al.. (2019). Recognizing people’s identity in construction sites with computer vision: A spatial and temporal attention pooling network. Advanced Engineering Informatics. 42. 100981–100981. 40 indexed citations
18.
Luo, Hanbin, et al.. (2018). Convolutional neural networks: Computer vision-based workforce activity assessment in construction. Automation in Construction. 94. 282–289. 155 indexed citations
19.
Zhou, Cheng, Hanbin Luo, Weili Fang, Ran Wei, & Lieyun Ding. (2018). Cyber-physical-system-based safety monitoring for blind hoisting with the internet of things: A case study. Automation in Construction. 97. 138–150. 80 indexed citations
20.
Hwang, Chih‐Lyang, Weili Fang, & Ching‐Long Shih. (2015). Globally neural-adaptive simultaneous position and torque variable structure tracking control for permanent magnet synchronous motors. Journal of Vibration and Control. 23(1). 147–163. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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