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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

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Showing 1-25 of 42 citing articles:

Identifying predictive features of autism spectrum disorders in a clinical sample of adolescents and adults using machine learning
Charlotte Küpper, Sanna Stroth, Nicole Wolff, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 72
A Review of the Safety, Efficacy and Mechanisms of Delivery of Nasal Oxytocin in Children: Therapeutic Potential for Autism and Prader-Willi Syndrome, and Recommendations for Future Research
Marilena M. DeMayo, Yun Ju Christine Song, Ian B. Hickie, et al.
Pediatric Drugs (2017) Vol. 19, Iss. 5, pp. 391-410
Closed Access | Times Cited: 59
Pathways to a diagnosis of autism spectrum disorder in Germany: a survey of parents
Juliana Höfer, Falk Hoffmann, Inge Kamp‐Becker, et al.
Child and Adolescent Psychiatry and Mental Health (2019) Vol. 13, Iss. 1
Open Access | Times Cited: 45
Impaired white matter integrity in infants and young children with autism spectrum disorder: What evidence does diffusion tensor imaging provide?
Reyhane Faraji, Zohreh Ganji, Seyed Amir Zamanpour, et al.
Psychiatry Research Neuroimaging (2023) Vol. 335, pp. 111711-111711
Closed Access | Times Cited: 13
Internalised stigma in adults with autism: A German multi-center survey
Christian Bachmann, Juliana Höfer, Inge Kamp‐Becker, et al.
Psychiatry Research (2019) Vol. 276, pp. 94-99
Closed Access | Times Cited: 39
Using machine learning to improve diagnostic assessment of ASD in the light of specific differential and co‐occurring diagnoses
Martin Schulte‐Rüther, Tomas Kulvičius, Sanna Stroth, et al.
Journal of Child Psychology and Psychiatry (2022) Vol. 64, Iss. 1, pp. 16-26
Open Access | Times Cited: 22
Complementary and alternative medicine use in adults with autism spectrum disorder in Germany: results from a multi-center survey
Juliana Höfer, Falk Hoffmann, Inge Kamp‐Becker, et al.
BMC Psychiatry (2019) Vol. 19, Iss. 1
Open Access | Times Cited: 27
Is the Combination of ADOS and ADI-R Necessary to Classify ASD? Rethinking the “Gold Standard” in Diagnosing ASD
Inge Kamp‐Becker, J. Tauscher, Nicole Wolff, et al.
Frontiers in Psychiatry (2021) Vol. 12
Open Access | Times Cited: 23
Harnessing the Power of Mobile Phone Technology: Screening and Identifying Autism Spectrum Disorder With Smartphone Apps
Kavita S. Reddy, Amar Taksande, Bibin Kurian
Cureus (2024)
Open Access | Times Cited: 3
The Transdiagnostic Connectome Project: a richly phenotyped open dataset for advancing the study of brain-behavior relationships in psychiatry
Sidhant Chopra, Carrisa Cocuzza, Connor Lawhead, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Neural mechanisms of affective matching across faces and scenes
Katrin Preckel, Fynn‐Mathis Trautwein, Frieder M. Paulus, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 23
Differentiation of autism spectrum disorder and mood or anxiety disorder
Sarah Wittkopf, Sanna Stroth, Anika Langmann, et al.
Autism (2021) Vol. 26, Iss. 5, pp. 1056-1069
Open Access | Times Cited: 20
On Becoming Trauma-Informed: Role of the Adverse Childhood Experiences Survey in Tertiary Child and Adolescent Mental Health Services and the Association with Standard Measures of Impairment and Severity
Abdul Rahman, Andrea Perri, Avril Deegan, et al.
The Permanente Journal (2018) Vol. 22, Iss. 1
Open Access | Times Cited: 21
How Do Adults with Autism Spectrum Disorder Participate in the Labor Market? A German Multi-center Survey
Tolou Maslahati, Christian Bachmann, Juliana Höfer, et al.
Journal of Autism and Developmental Disorders (2021) Vol. 52, Iss. 3, pp. 1066-1076
Open Access | Times Cited: 17
Abilities and Disabilities—Applying Machine Learning to Disentangle the Role of Intelligence in Diagnosing Autism Spectrum Disorders
Nicole Wolff, Matthias Eberlein, Sanna Stroth, et al.
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 11
Cooperation networks in the area of health: systematic literature review
Isabel Cristina Panziera Marques, Mário Franco
Scientometrics (2020) Vol. 122, Iss. 3, pp. 1727-1750
Closed Access | Times Cited: 16
Health Services Use and Costs in Individuals with Autism Spectrum Disorder in Germany: Results from a Survey in ASD Outpatient Clinics
Juliana Höfer, Falk Hoffmann, Michael Dörks, et al.
Journal of Autism and Developmental Disorders (2021) Vol. 52, Iss. 2, pp. 540-552
Open Access | Times Cited: 13
Mixed-methods investigation of barriers and needs in mental healthcare of adults with autism and recommendations for future care (BarrierfreeASD): study protocol
Nicole David, Sophia Dückert, Petia Gewohn, et al.
BMJ Open (2022) Vol. 12, Iss. 8, pp. e061773-e061773
Open Access | Times Cited: 8
Use of complementary and alternative medicine in children affected by oncologic, neurologic and liver diseases: a narrative review
Francesca Casini, Francesca Scaltrito, Maria Teresa Grimaldi, et al.
˜The œItalian Journal of Pediatrics/Italian journal of pediatrics (2023) Vol. 49, Iss. 1
Open Access | Times Cited: 4
Phenotypic differences between female and male individuals with suspicion of autism spectrum disorder
Sanna Stroth, J. Tauscher, Nicole Wolff, et al.
Molecular Autism (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Conceptualization of the latent structure of autism: further evidence and discussion of dimensional and hybrid models
Sarah Wittkopf, Anika Langmann, Veit Roessner, et al.
European Child & Adolescent Psychiatry (2022) Vol. 32, Iss. 11, pp. 2247-2258
Open Access | Times Cited: 7
A data driven machine learning approach to differentiate between autism spectrum disorder and attention-deficit/hyperactivity disorder based on the best-practice diagnostic instruments for autism
Nicole Wolff, Gregor Kohls, Judith T. Mack, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 7
Willingness to try and lifetime use of complementary and alternative medicine in children and adolescents with autism spectrum disorder in Germany: A survey of parents
Juliana Höfer, Christian Bachmann, Inge Kamp‐Becker, et al.
Autism (2019) Vol. 23, Iss. 7, pp. 1865-1870
Closed Access | Times Cited: 10
Special educational support in children and adolescents with Autism Spectrum Disorder in Germany: Results from a parent survey
Lara Bürki, Juliana Höfer, Inge Kamp‐Becker, et al.
Research in Developmental Disabilities (2021) Vol. 112, pp. 103931-103931
Closed Access | Times Cited: 8
An intelligent Bayesian hybrid approach to help autism diagnosis
Paulo Vitor de Campos Souza, Augusto Júnio Guimarães, Vanessa Souza Araújo, et al.
Soft Computing (2021) Vol. 25, Iss. 14, pp. 9163-9183
Open Access | Times Cited: 8
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