OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Identifying women with postdelivery posttraumatic stress disorder using natural language processing of personal childbirth narratives
Alon Bartal, Kathleen M. Jagodnik, Sabrina J. Chan, et al.
American Journal of Obstetrics & Gynecology MFM (2022) Vol. 5, Iss. 3, pp. 100834-100834
Open Access | Times Cited: 24

Showing 24 citing articles:

Childbirth-related posttraumatic stress disorder: definition, risk factors, pathophysiology, diagnosis, prevention, and treatment
Antje Horsch, Susan Garthus‐Niegel, Susan Ayers, et al.
American Journal of Obstetrics and Gynecology (2024) Vol. 230, Iss. 3, pp. S1116-S1127
Open Access | Times Cited: 45

Unveiling the prevalence and risk factors of early stage postpartum depression: a hybrid deep learning approach
Umesh Kumar Lilhore, Surjeet Dalal, Neetu Faujdar, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 26, pp. 68281-68315
Closed Access | Times Cited: 19

AI and narrative embeddings detect PTSD following childbirth via birth stories
Alon Bartal, Kathleen M. Jagodnik, Sabrina J. Chan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6

Robust language-based mental health assessments in time and space through social media
Siddharth Mangalik, Johannes C. Eichstaedt, Salvatore Giorgi, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 6

Machine Learning Techniques to Predict Mental Health Diagnoses: A Systematic Literature Review
Ujunwa Madububambachu, Augustine Ukpebor, U.H. Ihezue
Clinical Practice and Epidemiology in Mental Health (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 6

Modeling New Trends in Bone Regeneration, using the BERTopic Approach
Stefano Guizzardi, Maria Teresa Colangelo, Prisco Mirandola, et al.
Regenerative Medicine (2023) Vol. 18, Iss. 9, pp. 719-734
Closed Access | Times Cited: 14

Inositols and female reproduction disorders: a consensus statement from the working group of the Club of the Italian Society of Endocrinology (SIE)—Women’s Endocrinology
Costanzo Moretti, Marco Bonomi, Paola Dionese, et al.
Journal of Endocrinological Investigation (2024) Vol. 47, Iss. 9, pp. 2111-2141
Closed Access | Times Cited: 4

A systematic review of machine learning findings in PTSD and their relationships with theoretical models
Wivine Blekić, Fabien D’Hondt, Arieh Y. Shalev, et al.
Nature Mental Health (2025) Vol. 3, Iss. 1, pp. 139-158
Closed Access

Characterizing the patient experience of physical restraint in psychiatric settings via a linguistic, sentiment, and metaphor analysis
Cristiano Nichini, Chiara Barattieri di San Pietro, Biagio Scalingi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Le traitement automatisé du langage naturel : l’apport des transformers et les enjeux pour les sciences économiques
Charles Condevaux, Stéphane Mussard
Revue d économie politique (2025) Vol. Vol. 134, Iss. 6, pp. 947-978
Closed Access

Incorporating machine learning and statistical methods to address maternal healthcare disparities in US: A systematic review
Hala Al Sliti, Nada A. Rasheed, Saumya Tripathi, et al.
International Journal of Medical Informatics (2025), pp. 105918-105918
Closed Access

Screening for post-traumatic stress disorder following childbirth using the Peritraumatic Distress Inventory
Kathleen M. Jagodnik, Tsachi Ein‐Dor, Sabrina J. Chan, et al.
Journal of Affective Disorders (2023) Vol. 348, pp. 17-25
Open Access | Times Cited: 9

Systematic review of machine learning in PTSD studies for automated diagnosis evaluation
Yuqi Wu, Kaining Mao, Liz Dennett, et al.
npj Mental Health Research (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 8

ChatGPT Demonstrates Potential for Identifying Psychiatric Disorders: Application to Childbirth-Related Post-Traumatic Stress Disorder
Alon Bartal, Kathleen M. Jagodnik, Sabrina J. Chan, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2

Maternal mental health monitoring in an online community: a natural language processing approach
Zhen Zhu
Behaviour and Information Technology (2024), pp. 1-10
Open Access | Times Cited: 1

Sakhi
Meera Narvekar, Vidhi Kansara, Vijay Harkare
Advances in medical technologies and clinical practice book series (2024), pp. 341-370
Closed Access | Times Cited: 1

ChatGPT Demonstrates Potential for Identifying Psychiatric Disorders: Application to Childbirth-Related Post-Traumatic Stress Disorder
Alon Bartal, Kathleen M. Jagodnik, Sabrina J. Chan, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 3

An Evaluation of the Maternal Patient Experience through Natural Language Processing Techniques: The Case of Twitter Data in the United States during COVID-19
Debapriya Banik, Sreenath Chalil Madathil, Amit Lopes, et al.
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8762-8762
Open Access

A telehealth, group-based intervention for birth trauma: A pilot-feasibility and wait-list control trial (Preprint)
Cassandra Shruti Sundaraja, Suzanne Cosh, Amy D. Lykins, et al.
(2024)
Closed Access

Saudi Arabian Primigravid Women's Experiences of Mindfulness to Reduce Childbirth Stress: A Qualitative Study
Anwar Nader Alkhunaizi, Seham Mansour Alyousef, Sami Abdulrahman Alhamidi, et al.
SAGE Open Nursing (2023) Vol. 9
Open Access

Establishing the validity of a diagnostic questionnaire for childbirth-related posttraumatic stress disorder: a reply
Sharon Dekel, Scott P. Orr
American Journal of Obstetrics and Gynecology (2023) Vol. 230, Iss. 5, pp. e102-e102
Open Access

A Business Process for Detecting Facial Movements and Emotions Using Deep Learning Techniques
Çağatay Menzil, Umut Emre Sarıkaya, Mehmet S. Aktaş, et al.
2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (2023), pp. 1-8
Closed Access

Page 1

Scroll to top