What is he best known for?
The fields of study he is best known for:
- Psychiatry
- Internal medicine
- Autism
Li Ching Lee mainly focuses on Autism, Autism spectrum disorder, Psychiatry, Developmental disorder and Public health.
The Autism study combines topics in areas such as Birth order, Cognitive skill, Autoantibody, Pediatrics and Comorbidity.
His study focuses on the intersection of Pediatrics and fields such as Odds ratio with connections in the field of Mood, Anxiety and Offspring.
His Autism spectrum disorder research includes themes of Cohort study and Intellectual disability.
His work on Etiology and Irritability as part of general Psychiatry research is frequently linked to Checklist and Stereotypy, bridging the gap between disciplines.
His work on Pervasive developmental disorder as part of general Developmental disorder research is often related to Language acquisition, thus linking different fields of science.
His most cited work include:
- Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years--Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2012. (1107 citations)
- Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2016 (439 citations)
- Timing of identification among children with an autism spectrum disorder: findings from a population-based surveillance study. (397 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Autism, Autism spectrum disorder, Psychiatry, Clinical psychology and Pediatrics.
His Developmental disorder and Developmental regression study, which is part of a larger body of work in Autism, is frequently linked to Special education, bridging the gap between disciplines.
His research in Autism spectrum disorder focuses on subjects like Intellectual disability, which are connected to Intelligence quotient.
His study on Etiology is often connected to Child abuse, Domestic violence, Child neglect and Self-destructive behavior as part of broader study in Psychiatry.
His Pediatrics study combines topics in areas such as Odds ratio, Neurotypical, Relative risk and Risk factor.
His work focuses on many connections between Odds ratio and other disciplines, such as Offspring, that overlap with his field of interest in Attention deficit hyperactivity disorder.
He most often published in these fields:
- Autism (71.23%)
- Autism spectrum disorder (56.16%)
- Psychiatry (39.73%)
What were the highlights of his more recent work (between 2018-2021)?
- Autism spectrum disorder (56.16%)
- Autism (71.23%)
- Clinical psychology (36.99%)
In recent papers he was focusing on the following fields of study:
Li Ching Lee mostly deals with Autism spectrum disorder, Autism, Clinical psychology, Intellectual disability and Public health.
His work carried out in the field of Autism spectrum disorder brings together such families of science as Psychological intervention, Intelligence quotient, Developmental regression, Pediatrics and Developmental disorder.
His study in Pediatrics is interdisciplinary in nature, drawing from both Neonatal infection, Odds, Early childhood and Medical record.
His Developmental disorder research incorporates elements of DSM-5, Epidemiology, Child development and Risk factor.
Li Ching Lee has included themes like Repetitive behavior and Preschool child in his Clinical psychology study.
In his papers, Li Ching Lee integrates diverse fields, such as Public health, Pacific islanders and Cognitive skill.
Between 2018 and 2021, his most popular works were:
- Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2016 (439 citations)
- Brief Report: Maternal Opioid Prescription from Preconception through Pregnancy and the Odds of Autism Spectrum Disorder and Autism Features in Children. (14 citations)
- DSM-5 criteria for autism spectrum disorder maximizes diagnostic sensitivity and specificity in preschool children. (13 citations)
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.
