D-Index & Metrics Best Publications
Business and Management
China
2023
Engineering and Technology
China
2022

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Business and Management D-index 91 Citations 26,067 479 World Ranking 37 National Ranking 3
Engineering and Technology D-index 107 Citations 147,203 764 World Ranking 35 National Ranking 3

Research.com Recognitions

Awards & Achievements

2023 - Research.com Business and Management in China Leader Award

2022 - Research.com Business and Management in China Leader Award

2022 - Research.com Engineering and Technology in China Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Management

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 most cited work include:

  • Coronavirus disease 2019 (COVID-19): current status and future perspectives. (330 citations)
  • Quantifying the causes and costs of rework in construction (316 citations)
  • Processing bulk natural wood into a high-performance structural material (307 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Construction management (12.03%)
  • Artificial intelligence (7.89%)
  • Process (7.50%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (7.89%)
  • Building information modeling (4.27%)
  • Nanotechnology (3.23%)

In recent papers he was focusing on the following fields of study:

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.

Between 2018 and 2021, his most popular works were:

  • Coronavirus disease 2019 (COVID-19): current status and future perspectives. (330 citations)
  • Revealing stylized empirical interactions among construction sector, urbanization, energy consumption, economic growth and CO2 emissions in China. (65 citations)
  • Highly transparent, stretchable, and rapid self-healing polyvinyl alcohol/cellulose nanofibril hydrogel sensors for sensitive pressure sensing and human motion detection (59 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • 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.

Best Publications

The Sequence Alignment/Map format and SAMtools

Heng Li;Bob Handsaker;Alec Wysoker;Tim Fennell.
Bioinformatics (2009)

43603 Citations

Fast and accurate short read alignment with Burrows–Wheeler transform

Heng Li;Richard Durbin.
Bioinformatics (2009)

37826 Citations

Minimap2: pairwise alignment for nucleotide sequences

Heng Li.
Bioinformatics (2018)

4468 Citations

Accurate whole human genome sequencing using reversible terminator chemistry

David R. Bentley;Shankar Balasubramanian;Harold P. Swerdlow;Harold P. Swerdlow;Geoffrey P. Smith.
Nature (2008)

4433 Citations

A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data

Heng Li.
Bioinformatics (2011)

4398 Citations

A survey of sequence alignment algorithms for next-generation sequencing.

Heng Li;Nils Homer.
Briefings in Bioinformatics (2010)

1149 Citations

Minimap and miniasm: fast mapping and de novo assembly for noisy long sequences

Heng Li.
Bioinformatics (2016)

862 Citations

Toward better understanding of artifacts in variant calling from high-coverage samples

Heng Li.
Bioinformatics (2014)

754 Citations

A Bayesian deconvolution strategy for immunoprecipitation-based DNA methylome analysis

Thomas A. Down;Vardhman K. Rakyan;Daniel J. Turner;Paul Flicek.
Nature Biotechnology (2008)

729 Citations

Processing bulk natural wood into a high-performance structural material

Jianwei Song;Chaoji Chen;Shuze Zhu;Mingwei Zhu.
(2018)

720 Citations

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