Shuhua Li

What is he best known for?

The fields of study Shuhua Li is best known for:

• Gene
• Hydrogen
• Enzyme

His research integrates issues of Depression (economics), Macroeconomics and Suicide attempt, Poison control in his study of Psychiatry. Macroeconomics connects with themes related to Depression (economics) in his study. As part of his studies on Poison control, he often connects relevant areas like Suicide attempt. His multidisciplinary approach integrates Organic chemistry and Stereochemistry in his work. Shuhua Li integrates Stereochemistry and Organic chemistry in his studies. He integrates Catalysis and Photochemistry in his studies. His work blends Photochemistry and Catalysis studies together. He merges Quantum mechanics with Molecule in his study. Shuhua Li integrates Computational chemistry and Molecule in his studies.

His most cited work include:

• The North American Multimodel Ensemble: Phase-1 Seasonal-to-Interannual Prediction; Phase-2 toward Developing Intraseasonal Prediction (687 citations)
• The impact of improved auditor independence on audit market concentration in China (498 citations)
• Shining carbon dots: Synthesis and biomedical and optoelectronic applications (494 citations)

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

You can notice a mix of various disciplines of study, such as Catalysis and Stereochemistry, in his Organic chemistry studies. In his work, Shuhua Li performs multidisciplinary research in Stereochemistry and Organic chemistry. While working on this project, Shuhua Li studies both Molecule and Computational chemistry. In his works, Shuhua Li performs multidisciplinary study on Computational chemistry and Density functional theory. Quantum mechanics and Atomic physics are two areas of study in which Shuhua Li engages in interdisciplinary work. He performs multidisciplinary study in Atomic physics and Quantum mechanics in his work.

Shuhua Li most often published in these fields:

• Organic chemistry (46.63%)
• Molecule (26.69%)
• Computational chemistry (24.63%)

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