
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:
Predicting the Number of Suicides in Japan Using Internet Search Queries: Vector Autoregression Time Series Model
Kazuya Taira, Rikuya Hosokawa, Tomoya Itatani, et al.
JMIR Public Health and Surveillance (2021) Vol. 7, Iss. 12, pp. e34016-e34016
Open Access | Times Cited: 14
Kazuya Taira, Rikuya Hosokawa, Tomoya Itatani, et al.
JMIR Public Health and Surveillance (2021) Vol. 7, Iss. 12, pp. e34016-e34016
Open Access | Times Cited: 14
Showing 14 citing articles:
Public Surveillance of Social Media for Suicide Using Advanced Deep Learning Models in Japan: Time Series Study From 2012 to 2022
Siqin Wang, Huan Ning, Xiao Huang, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e47225-e47225
Open Access | Times Cited: 14
Siqin Wang, Huan Ning, Xiao Huang, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e47225-e47225
Open Access | Times Cited: 14
Analyzing the changing relationship between personal consumption and suicide mortality during COVID-19 pandemic in Japan, using governmental and personal consumption transaction databases
Ryusuke Matsumoto, Yasuhiro Kawano, Eishi Motomura, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 13
Ryusuke Matsumoto, Yasuhiro Kawano, Eishi Motomura, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 13
Explanation of hand, foot, and mouth disease cases in Japan using Google Trends before and during the COVID-19: infodemiology study
Qian Niu, Junyu Liu, Zixi Zhao, et al.
BMC Infectious Diseases (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 8
Qian Niu, Junyu Liu, Zixi Zhao, et al.
BMC Infectious Diseases (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 8
An NLP-assisted Bayesian time-series analysis for prevalence of Twitter cyberbullying during the COVID-19 pandemic
Christopher Perez, Sayar Karmakar
Social Network Analysis and Mining (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Christopher Perez, Sayar Karmakar
Social Network Analysis and Mining (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Exploring cause-specific strategies for suicide prevention in India: A multivariate VARMA approach
Anjali Anjali, B. Rushi Kumar
Asian Journal of Psychiatry (2023) Vol. 92, pp. 103871-103871
Closed Access | Times Cited: 4
Anjali Anjali, B. Rushi Kumar
Asian Journal of Psychiatry (2023) Vol. 92, pp. 103871-103871
Closed Access | Times Cited: 4
Infodemiology as a Powerful Tool in Public Health: Bridging the Digital Divide for Better Well-being
Chan‐Na Zhao, Harry Asena Musonye, Peng Wang, et al.
Deleted Journal (2024) Vol. 1, Iss. 2, pp. 19-19
Open Access | Times Cited: 1
Chan‐Na Zhao, Harry Asena Musonye, Peng Wang, et al.
Deleted Journal (2024) Vol. 1, Iss. 2, pp. 19-19
Open Access | Times Cited: 1
Conceptualizing Predictive Conceptual Model for Unemployment Rates in the Implementation of Industry 4.0: Exploring Machine Learning Techniques
Joshua Ebere Chukwuere
(2024)
Open Access
Joshua Ebere Chukwuere
(2024)
Open Access
Association Between School-Related Google Trends Search Volume and Suicides Among Children and Adolescents in Japan During 2016 to 2020: A Retrospective Observational Study with a Time Series Analysis (Preprint)
T Arai, Hiroe Tsubaki, Ayako Wakano, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e51710-e51710
Open Access
T Arai, Hiroe Tsubaki, Ayako Wakano, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e51710-e51710
Open Access
The Effectiveness of Autoregression to Predict Temperature
Gregorius Pramudita Witaradya, Yulianto Tejo Putranto
2020 International Seminar on Application for Technology of Information and Communication (iSemantic) (2023), pp. 276-280
Closed Access | Times Cited: 1
Gregorius Pramudita Witaradya, Yulianto Tejo Putranto
2020 International Seminar on Application for Technology of Information and Communication (iSemantic) (2023), pp. 276-280
Closed Access | Times Cited: 1
An NLP-Assisted Bayesian Time Series Analysis for Prevalence of Twitter Cyberbullying During the COVID-19 Pandemic
Christopher Perez, Sayar Karmakar
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
Christopher Perez, Sayar Karmakar
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
Public Surveillance of Social Media for Suicide Using Advanced Deep Learning Models in Japan: Time Series Study From 2012 to 2022 (Preprint)
Siqin Wang, Huan Ning, Xiao Huang, et al.
(2023)
Open Access
Siqin Wang, Huan Ning, Xiao Huang, et al.
(2023)
Open Access
Association Between School-Related Google Trends Search Volume and Suicides Among Children and Adolescents in Japan During 2016 to 2020: A Retrospective Observational Study with a Time Series Analysis (Preprint)
T Arai, Hiroe Tsubaki, Ayako Wakano, et al.
(2023)
Closed Access
T Arai, Hiroe Tsubaki, Ayako Wakano, et al.
(2023)
Closed Access
Explanation of Hand, Foot, and Mouth Disease Cases in Japan Using Google Trends Before and During the COVID-19: Infodemiology Study
Qian Niu, Junyu Liu, Zixi Zhao, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
Qian Niu, Junyu Liu, Zixi Zhao, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
An NLP-Assisted Bayesian Time Series Analysis for Prevalence of Twitter Cyberbullying During the COVID-19 Pandemic
Christopher Perez, Sayar Karmakar
Research Square (Research Square) (2022)
Open Access
Christopher Perez, Sayar Karmakar
Research Square (Research Square) (2022)
Open Access