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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.

Requested Article:

Examination of retinal vascular trajectory in schizophrenia and bipolar disorder
Abhishek Appaji, Bhargavi Nagendra, Dona Maria Chako, et al.
Psychiatry and Clinical Neurosciences (2019) Vol. 73, Iss. 12, pp. 738-744
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Artificial intelligence and Psychiatry: An overview
Adwitiya Ray, Akansha Bhardwaj, Yogender Kumar Malik, et al.
Asian Journal of Psychiatry (2022) Vol. 70, pp. 103021-103021
Open Access | Times Cited: 79
Call to action regarding the vascular‐bipolar link: A report from the Vascular Task Force of the International Society for Bipolar Disorders
Benjamin I. Goldstein, Bernhard T. Baune, David J. Bond, et al.
Bipolar Disorders (2020) Vol. 22, Iss. 5, pp. 440-460
Open Access | Times Cited: 85
Retinal layers and associated clinical factors in schizophrenia spectrum disorders: a systematic review and meta-analysis
Hiroshi Komatsu, Goh Onoguchi, Stefan Jerotić, et al.
Molecular Psychiatry (2022) Vol. 27, Iss. 9, pp. 3592-3616
Closed Access | Times Cited: 39
Retina as a potential biomarker in schizophrenia spectrum disorders: a systematic review and meta-analysis of optical coherence tomography and electroretinography
Hiroshi Komatsu, Goh Onoguchi, Steven M. Silverstein, et al.
Molecular Psychiatry (2023) Vol. 29, Iss. 2, pp. 464-482
Open Access | Times Cited: 17
Retinal Microvasculature in Schizophrenia
Steven M. Silverstein, Adriann Lai, Kyle M. Green, et al.
Eye and Brain (2021) Vol. Volume 13, pp. 205-217
Open Access | Times Cited: 34
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: A systematic review and meta-analysis
F. Colombo, F. Calesella, Mario Gennaro Mazza, et al.
Neuroscience & Biobehavioral Reviews (2022) Vol. 135, pp. 104552-104552
Closed Access | Times Cited: 25
Ocular images-based artificial intelligence on systemic diseases
Yuhe Tan, Xufang Sun
BioMedical Engineering OnLine (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 13
Deep learning model using retinal vascular images for classifying schizophrenia
Abhishek Appaji, Vaishak Harish, Vittal Korann, et al.
Schizophrenia Research (2022) Vol. 241, pp. 238-243
Open Access | Times Cited: 20
Evaluation of retinal vascular parameters in bipolar disorder using optical coherence tomography angiography
Rukiye Tekdemir, Ayşe Bozkurt Oflaz, Furkan Çınar, et al.
Journal of Affective Disorders (2025) Vol. 377, pp. 85-91
Closed Access
Oculomics approaches using retinal imaging to predict mental health disorders: a systematic review and meta-analysis
Hong Kyu Kim, Tae Keun Yoo
International Ophthalmology (2025) Vol. 45, Iss. 1
Closed Access
Schizophrenia in Translation: Why the Eye?
Steven M. Silverstein, Joy Choi, Kyle M. Green, et al.
Schizophrenia Bulletin (2022) Vol. 48, Iss. 4, pp. 728-737
Open Access | Times Cited: 13
Deep retinal layer microvasculature alterations in schizophrenia
Samantha I. Fradkin, Deepthi Bannai, Paulo Lizano, et al.
Biomarkers in Neuropsychiatry (2024) Vol. 10, pp. 100084-100084
Open Access | Times Cited: 2
Telepsychiatry and the Role of Artificial Intelligence in Mental Health in Post-COVID-19 India: A Scoping Review on Opportunities
M Thenral, Arunkumar Annamalai
Indian Journal of Psychological Medicine (2020) Vol. 42, Iss. 5, pp. 428-434
Open Access | Times Cited: 19
Factors related to retinal nerve fiber layer thickness in bipolar disorder patients and major depression patients
Yanhong Liu, Yongsheng Tong, Lvzhen Huang, et al.
BMC Psychiatry (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 17
PSYCHOPHARMACOLOGICAL SIGNATURES IN THE RETINA IN SCHIZOPHRENIA AND BIPOLAR DISORDER: AN OPTIC COHERENCE TOMOGRAPHY STUDY
İlkay Keleş Altun, Neslihan Turedi, Neriman Aras, et al.
Psychiatria Danubina (2020) Vol. 32, Iss. 3-4, pp. 351-358
Open Access | Times Cited: 17
Association between retinal vascular caliber and brain structure in schizophrenia
Vittal Korann, Abhishek Appaji, Arpitha Jacob, et al.
Asian Journal of Psychiatry (2021) Vol. 61, pp. 102707-102707
Open Access | Times Cited: 11
Lower Hippocampal Volume in Patients with Schizophrenia and Bipolar Disorder: A Quantitative MRI Study
Jinya Sato, Yoji Hirano, Noriaki Hirakawa, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 2, pp. 121-121
Open Access | Times Cited: 10
Association between retinal vascular measures and brain white matter lesions in schizophrenia
Vittal Korann, Satish Suhas, Abhishek Appaji, et al.
Asian Journal of Psychiatry (2022) Vol. 70, pp. 103042-103042
Open Access | Times Cited: 7
Sex determination using color fundus parameters in older adults of Kumejima population study
Takehiro Yamashita, Ryo Asaoka, Aiko Iwase, et al.
Graefe s Archive for Clinical and Experimental Ophthalmology (2023) Vol. 261, Iss. 8, pp. 2411-2419
Closed Access | Times Cited: 3
Use of artificial intelligence algorithms to predict systemic diseases from retinal images
Rehana Khan, Janani Surya, Maitreyee Roy, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 13, Iss. 5
Closed Access | Times Cited: 3
Evaluation of Progressive Retinal Degeneration in Bipolar Disorder Patients over a Period of 5 Years
María Satué, Juan Luis Fuentes, Elisa Viladés, et al.
Current Eye Research (2022) Vol. 47, Iss. 7, pp. 1061-1067
Closed Access | Times Cited: 5
Retinal fundus imaging in bipolar disorder: A pilot study
Aygün Yusifova, Murat İlhan Atagün, Nagihan Uğurlu, et al.
Psychiatry and Clinical Neurosciences (2019) Vol. 74, Iss. 1, pp. 85-86
Open Access | Times Cited: 7
Machine learning algorithms revealed distorted retinal vascular branching in individuals with bipolar disorder
Murat İlhan Atagün, Güray Sonugür, Aygün Yusifova, et al.
Journal of Affective Disorders (2022) Vol. 315, pp. 35-41
Closed Access | Times Cited: 4
A Survey on Bipolar Disorder Classification Methodologies using Machine Learning
V. Vasu, M. Indiramma
2020 International Conference on Smart Electronics and Communication (ICOSEC) (2020), pp. 335-340
Closed Access | Times Cited: 4
Machine Learning Systems for Detecting Schizophrenia
N Swati, M. Indiramma
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) (2020), pp. 877-880
Closed Access | Times Cited: 4
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