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:
Detecting Depression and Predicting its Onset Using Longitudinal Symptoms Captured by Passive Sensing
Prerna Chikersal, Afsaneh Doryab, Michael Tumminia, et al.
ACM Transactions on Computer-Human Interaction (2021) Vol. 28, Iss. 1, pp. 1-41
Open Access | Times Cited: 100
Prerna Chikersal, Afsaneh Doryab, Michael Tumminia, et al.
ACM Transactions on Computer-Human Interaction (2021) Vol. 28, Iss. 1, pp. 1-41
Open Access | Times Cited: 100
Showing 51-75 of 100 citing articles:
HADD: High-Accuracy Detection of Depressed Mood
Yü Liu, Kyoung‐Don Kang, Mi Jin Doe
Technologies (2022) Vol. 10, Iss. 6, pp. 123-123
Open Access | Times Cited: 6
Yü Liu, Kyoung‐Don Kang, Mi Jin Doe
Technologies (2022) Vol. 10, Iss. 6, pp. 123-123
Open Access | Times Cited: 6
MAISON - Multimodal AI-based Sensor platform for Older Individuals
Ali Abedi, Faranak Dayyani, Charlene H. Chu, et al.
2022 IEEE International Conference on Data Mining Workshops (ICDMW) (2022)
Open Access | Times Cited: 6
Ali Abedi, Faranak Dayyani, Charlene H. Chu, et al.
2022 IEEE International Conference on Data Mining Workshops (ICDMW) (2022)
Open Access | Times Cited: 6
From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models
Zachary Englhardt, Chengqian Ma, Margaret E. Morris, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Zachary Englhardt, Chengqian Ma, Margaret E. Morris, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Depression Detection system with Statistical Analysis and Data Mining Approaches
Md. Mehedi Hassan, Md. Asif Rakib Khan, Khan Kamrul Islam, et al.
(2021), pp. 1-6
Closed Access | Times Cited: 7
Md. Mehedi Hassan, Md. Asif Rakib Khan, Khan Kamrul Islam, et al.
(2021), pp. 1-6
Closed Access | Times Cited: 7
Human behaviour data analysis and noncommunicable diseases: a systematic mapping study
Lucas Pfeiffer Salom�ão Dias, Henrique Damasceno Vianna, Jorge Luís Victória Barbosa
Behaviour and Information Technology (2022) Vol. 42, Iss. 14, pp. 2485-2503
Closed Access | Times Cited: 5
Lucas Pfeiffer Salom�ão Dias, Henrique Damasceno Vianna, Jorge Luís Victória Barbosa
Behaviour and Information Technology (2022) Vol. 42, Iss. 14, pp. 2485-2503
Closed Access | Times Cited: 5
Digital Phenotyping Models of Symptom Improvement in College Mental Health: Generalizability Across Two Cohorts
Danielle Currey, Ryan Hays, John Torous
Journal of Technology in Behavioral Science (2023) Vol. 8, Iss. 4, pp. 368-381
Open Access | Times Cited: 2
Danielle Currey, Ryan Hays, John Torous
Journal of Technology in Behavioral Science (2023) Vol. 8, Iss. 4, pp. 368-381
Open Access | Times Cited: 2
Regularized CNN Based Model for Analyzing, Predicting Depression and Handling Overfitting
Purude Vaishali Narayanrao, P. Lalitha Surya Kumari
Ingénierie des systèmes d information (2023) Vol. 28, Iss. 1, pp. 247-254
Open Access | Times Cited: 2
Purude Vaishali Narayanrao, P. Lalitha Surya Kumari
Ingénierie des systèmes d information (2023) Vol. 28, Iss. 1, pp. 247-254
Open Access | Times Cited: 2
Modeling Suicidality with Multimodal Impulsivity Characterization in Participants with Mental Health Disorder
Nidal Moukaddam, Bishal Lamichhane, Ramiro Salas, et al.
Behavioural Neurology (2023) Vol. 2023, pp. 1-10
Open Access | Times Cited: 2
Nidal Moukaddam, Bishal Lamichhane, Ramiro Salas, et al.
Behavioural Neurology (2023) Vol. 2023, pp. 1-10
Open Access | Times Cited: 2
Left on Read: Reply Latency for Anxiety & Depression Screening
ML Tlachac, Samuel S. Ogden
(2022), pp. 500-502
Open Access | Times Cited: 4
ML Tlachac, Samuel S. Ogden
(2022), pp. 500-502
Open Access | Times Cited: 4
Mood Prediction Based on Calendar Events Using Multitask Learning
Naoki Tateyama, Rui Fukui, Shin’ichi Warisawa
IEEE Access (2022) Vol. 10, pp. 79747-79759
Open Access | Times Cited: 3
Naoki Tateyama, Rui Fukui, Shin’ichi Warisawa
IEEE Access (2022) Vol. 10, pp. 79747-79759
Open Access | Times Cited: 3
Detecting Depression, Anxiety and Mental Stress in One Sequential Model with Multi-task Learning
Shen Zhang, Mei Tu, Yueru Yan, et al.
Lecture notes in computer science (2022), pp. 191-200
Closed Access | Times Cited: 3
Shen Zhang, Mei Tu, Yueru Yan, et al.
Lecture notes in computer science (2022), pp. 191-200
Closed Access | Times Cited: 3
Enhancing Depression Predictive Models: a Comparative Study of Hybrid Ai, Machine Learning and Deep Learning Techniques
Naga Raju` Kanchapogu, Sachi Nandan Mohanty
Research Square (Research Square) (2024)
Open Access
Naga Raju` Kanchapogu, Sachi Nandan Mohanty
Research Square (Research Square) (2024)
Open Access
Planning the Future in a Longer Perspective
Naoki Tateyama, Ryota YOKOMURA, Yuki Ban, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2024) Vol. 8, Iss. 1, pp. 1-20
Open Access
Naoki Tateyama, Ryota YOKOMURA, Yuki Ban, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2024) Vol. 8, Iss. 1, pp. 1-20
Open Access
Depression Detection Using Distribution of Microstructures from Actigraph Information
Harsh Bhasin, Chirag, Nishant Kumar, et al.
Communications in computer and information science (2024), pp. 169-177
Closed Access
Harsh Bhasin, Chirag, Nishant Kumar, et al.
Communications in computer and information science (2024), pp. 169-177
Closed Access
Use of Smartphone Sensor Data in Detecting and Predicting Depression and Anxiety in Young People (12-25 Years): A Scoping Review
Joanne R Beames, Jin Han, Artur Shvetcov, et al.
SSRN Electronic Journal (2024)
Closed Access
Joanne R Beames, Jin Han, Artur Shvetcov, et al.
SSRN Electronic Journal (2024)
Closed Access
Investigating Rhythmicity in App Usage to Predict Depressive Symptoms: Protocol for Personalized Framework Development and Validation Through a Countrywide Study
Md. Sabbir Ahmed, Tanvir Hasan, Salekul Islam, et al.
JMIR Research Protocols (2024) Vol. 13, pp. e51540-e51540
Open Access
Md. Sabbir Ahmed, Tanvir Hasan, Salekul Islam, et al.
JMIR Research Protocols (2024) Vol. 13, pp. e51540-e51540
Open Access
Mobile Monitoring of Mood (MoMo-Mood): a Multimodal Digital Phenotyping Study with Major Depressive Patients and Healthy Controls
Talayeh Aledavood, Nguyen Luong, Ilya Baryshnikov, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Talayeh Aledavood, Nguyen Luong, Ilya Baryshnikov, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Remote sensing mental health: A systematic review of factors essential to clinical translation from validation research
Niranjan Bidargaddi, Richard Leibbrandt, Tamara L. Paget, et al.
Digital Health (2024) Vol. 10
Open Access
Niranjan Bidargaddi, Richard Leibbrandt, Tamara L. Paget, et al.
Digital Health (2024) Vol. 10
Open Access
Using Mobile Daily Mood and Anxiety Self-ratings to Predict Depression Symptom Improvement
Soumyashree Sahoo, Chinmaey Shende, Md Zakir Hossain, et al.
(2024), pp. 13-24
Closed Access
Soumyashree Sahoo, Chinmaey Shende, Md Zakir Hossain, et al.
(2024), pp. 13-24
Closed Access
Mobile sensing-based depression severity assessment in participants with heterogeneous mental health conditions
Bishal Lamichhane, Nidal Moukaddam, Ashutosh Sabharwal
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Bishal Lamichhane, Nidal Moukaddam, Ashutosh Sabharwal
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
PupilSense: Detection of Depressive Episodes through Pupillary Response in the Wild
Rahul Islam, Sang Won Bae
(2024) Vol. 35, pp. 01-13
Closed Access
Rahul Islam, Sang Won Bae
(2024) Vol. 35, pp. 01-13
Closed Access
Using Wearable Technology to Detect, Monitor, and Predict Major Depressive Disorder—A Scoping Review and Introductory Text for Clinical Professionals
Quinty Walschots, Milan Zarchev, Maurits Unkel, et al.
Algorithms (2024) Vol. 17, Iss. 9, pp. 408-408
Open Access
Quinty Walschots, Milan Zarchev, Maurits Unkel, et al.
Algorithms (2024) Vol. 17, Iss. 9, pp. 408-408
Open Access
Depression Tendency Estimation Method Using AI Chatbot
Riko Indo, Fujino Tochishita, Hiroyoshi Miwa, et al.
Lecture notes on data engineering and communications technologies (2024), pp. 1-12
Closed Access
Riko Indo, Fujino Tochishita, Hiroyoshi Miwa, et al.
Lecture notes on data engineering and communications technologies (2024), pp. 1-12
Closed Access
Exploring User Willingness towards Mobile Sensing and Intervention: A Case Study on Mental Health of Undergraduate College Students
Manas Satish Bedmutha, Sahithi Karumudi, Kevin Patrick, et al.
(2024) Vol. 7, pp. 721-728
Closed Access
Manas Satish Bedmutha, Sahithi Karumudi, Kevin Patrick, et al.
(2024) Vol. 7, pp. 721-728
Closed Access
FacePsy: An Open-Source Affective Mobile Sensing System - Analyzing Facial Behavior and Head Gesture for Depression Detection in Naturalistic Settings
Rahul Islam, Sang Won Bae
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. MHCI, pp. 1-32
Open Access
Rahul Islam, Sang Won Bae
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. MHCI, pp. 1-32
Open Access
