Heng Li mainly investigates Construction management, Project management, Operations research, Operations management and Process. His Construction management research is multidisciplinary, incorporating perspectives in Management science, Building information modeling, Risk analysis, Mathematical optimization and Critical path method. Heng Li combines subjects such as Artificial intelligence, Resource management and Critical success factor, Process management with his study of Project management.
His work on Analytic network process and Analytic hierarchy process is typically connected to Shopping mall as part of general Operations research study, connecting several disciplines of science. His study in the field of Downstream is also linked to topics like Rework. Total quality management is closely connected to Knowledge management in his research, which is encompassed under the umbrella topic of Process.
His scientific interests lie mostly in Construction management, Artificial intelligence, Process, Operations research and Project management. The various areas that Heng Li examines in his Construction management study include Virtual prototyping and Process management. His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning and Computer vision.
Heng Li works on Operations research which deals in particular with Analytic network process.
Heng Li mostly deals with Artificial intelligence, Building information modeling, Nanotechnology, Physical medicine and rehabilitation and Wearable computer. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning, Computer vision and Pattern recognition. His Building information modeling study frequently draws connections to adjacent fields such as Knowledge management.
Heng Li mainly focuses on Artificial intelligence, Building information modeling, Nanotechnology, Lithium and Construction site safety. His Artificial intelligence study combines topics in areas such as Machine learning, Computer vision and Identification. His Building information modeling study frequently links to related topics such as Knowledge management.
His studies in Lithium integrate themes in fields like Optoelectronics and Capacitor. His study connects Risk analysis and Construction site safety. His research in Composite cathode tackles topics such as Cathode which are related to areas like Anode and Chemical engineering.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Quantifying the causes and costs of rework in construction
Peter E. D. Love;Heng Li.
Construction Management and Economics (2000)
Intelligent building research: a review
J. K.W. Wong;Heng Li;Shengwei Wang.
Automation in Construction (2005)
Using systems dynamics to better understand change and rework in construction project management systems
Peter E. Love;G D Holt;L Y Shen;Heng Li.
International Journal of Project Management (2002)
Application of the analytic hierarchy process (AHP) in multi-criteria analysis of the selection of intelligent building systems
Johnny K.W. Wong;Heng Li.
Building and Environment (2008)
Contractor selection using the analytic network process
Eddie W. L. Cheng;Heng Li.
Construction Management and Economics (2004)
Construction Partnering Process and Associated Critical Success Factors: Quantitative Investigation
Eddie W. L. Cheng;Heng Li.
Journal of Management in Engineering (2002)
Processing bulk natural wood into a high-performance structural material
Jianwei Song;Chaoji Chen;Shuze Zhu;Mingwei Zhu.
Establishment of Critical Success Factors for Construction Partnering
Eddie W. L. Cheng;Eddie W. L. Cheng;Heng Li;Heng Li;P. E. D. Love;P. E. D. Love.
Journal of Management in Engineering (2000)
Analytic hierarchy process (AHP)
Eddie W.L. Cheng;Heng Li;Danny C.K. Ho.
Measuring Business Excellence (2002)
Analytic hierarchy process
Eddie W.L. Cheng;Heng Li.
Measuring Business Excellence (2001)
Profile was last updated on December 6th, 2021.
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The ranking h-index is inferred from publications deemed to belong to the considered discipline.
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