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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.

Requested Article:

Promoting Reproducible Research for Characterizing Nonmedical Use of Medications Through Data Annotation: Description of a Twitter Corpus and Guidelines
Karen O’Connor, Abeed Sarker, Jeanmarie Perrone, et al.
Journal of Medical Internet Research (2019) Vol. 22, Iss. 2, pp. e15861-e15861
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Text classification models for the automatic detection of nonmedical prescription medication use from social media
Mohammed Ali Al-Garadi, Yuan-Chi Yang, Haitao Cai, et al.
BMC Medical Informatics and Decision Making (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 85
Clinical Natural Language Processing for Radiation Oncology: A Review and Practical Primer
Danielle S. Bitterman, Timothy A. Miller, Raymond H. Mak, et al.
International Journal of Radiation Oncology*Biology*Physics (2021) Vol. 110, Iss. 3, pp. 641-655
Closed Access | Times Cited: 55
Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020
Ari Z. Klein, Ilseyar Alimova, Ivan Flores, et al.
International Conference on Computational Linguistics (2020), pp. 27-36
Closed Access | Times Cited: 33
Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review
Tavleen Singh, Kirk Roberts, Trevor Cohen, et al.
JMIR Public Health and Surveillance (2020) Vol. 6, Iss. 4, pp. e21660-e21660
Open Access | Times Cited: 24
Automatic gender detection in Twitter profiles for health-related cohort studies
Yuan-Chi Yang, Mohammed Ali Al-Garadi, Jennifer S. Love, et al.
JAMIA Open (2021) Vol. 4, Iss. 2
Open Access | Times Cited: 21
Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing
Melissa N. Poulsen, Philip J. Freda, Vanessa Troiani, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 14
Large-Scale Social Media Analysis Reveals Emotions Associated with Nonmedical Prescription Drug Use
Mohammed Ali Al-Garadi, Yuan-Chi Yang, Yuting Guo, et al.
Health Data Science (2022) Vol. 2022
Open Access | Times Cited: 14
Can accurate demographic information about people who use prescription medications nonmedically be derived from Twitter?
Yuan-Chi Yang, Mohammed Ali Al-Garadi, Jennifer S. Love, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 8
Open Access | Times Cited: 7
AffectiveTDA: Using Topological Data Analysis to Improve Analysis and Explainability in Affective Computing
Hamza Elhamdadi, Shaun Canavan, Paul Rosen
IEEE Transactions on Visualization and Computer Graphics (2021) Vol. 28, Iss. 1, pp. 769-779
Open Access | Times Cited: 14
Bootstrapping semi-supervised annotation method for potential suicidal messages
Roberto Wellington Acuña Caicedo, José M. Gómez, Héctor Andrés Melgar Sasieta
Internet Interventions (2022) Vol. 28, pp. 100519-100519
Open Access | Times Cited: 9
BATRACIO: BAsic, TRAnslational, Clinical, research phase identification in bIOmedical publications
Nicolau Durán-Silva, Jorge Carrillo‐de‐Albornoz, Laura Plaza, et al.
IEEE Access (2024) Vol. 12, pp. 146476-146493
Open Access | Times Cited: 1
Transferability Based on Drug Structure Similarity in the Automatic Classification of Noncompliant Drug Use on Social Media: Natural Language Processing Approach
Tomohiro Nishiyama, Shuntaro Yada, Shoko Wakamiya, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e44870-e44870
Open Access | Times Cited: 3
Automatic Detecting for Health-related Twitter Data with BioBERT
Yang Bai, Xiaobing Zhou
(2020), pp. 63-69
Closed Access | Times Cited: 8
Text Classification Models for the Automatic Detection of Nonmedical Prescription Medication Use from Social Media
Mohammed Ali Al-Garadi, Yuan-Chi Yang, Haitao Cai, et al.
Research Square (Research Square) (2020)
Open Access | Times Cited: 7
Text Classification Models for the Automatic Detection of Nonmedical Prescription Medication Use from Social Media
Ali Al-Garadi Mohammed, Yuan-Chi Yang, Haitao Cai, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 6
Inter-annotator agreement is not the ceiling of machine learning performance: Evidence from a comprehensive set of simulations
Russell Richie, Sachin Grover, Fuchiang Tsui
(2022), pp. 275-284
Open Access | Times Cited: 4
Automatic Gender Detection in Twitter Profiles for Health-related Cohort Studies
Yuan-Chi Yang, Mohammed Ali Al-Garadi, Jennifer S. Love, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 4
A Human-in-the-Loop Augmented Intelligence Video Understandability Assessment to Promote Health Literacy (Preprint)
Xiao Liu, Anjana Susarla, Rema Padman
(2024)
Closed Access
NLP Applications—Social Media
Abeed Sarker
Springer eBooks (2024), pp. 397-427
Closed Access
Gender and racial price disparities in the NFT marketplace
Yuan Yuan, Xiao Liu, Shunyuan Zhang, et al.
International Journal of Research in Marketing (2024)
Closed Access
Construction, evaluation, and application of an electronic medical record corpus for cerebral palsy rehabilitation
Meirong Xiao, Qiaofang Pang, Yean Zhu, et al.
Digital Health (2024) Vol. 10
Open Access
Promoting Health Literacy with YouTube Videos: A Human-in-the-Loop Augmented Intelligence Video Understandability Assessment (Preprint)
Xiao Liu, Anjana Susarla, Rema Padman
Journal of Medical Internet Research (2024)
Open Access
Identifying Medication Abuse and Adverse Effects from Tweets: University of Michigan at #SMM4H 2020
V. G. Vinod Vydiswaran, Deahan Yu, Xinyan Zhao, et al.
(2020), pp. 90-94
Closed Access | Times Cited: 1
SMM4H Shared Task 2020 - A Hybrid Pipeline for Identifying Prescription Drug Abuse from Twitter: Machine Learning, Deep Learning, and Post-Processing
Isabel Metzger, Emir Y. Haskovic, Allison Black, et al.
(2020), pp. 57-62
Closed Access | Times Cited: 1
Can accurate demographic information about people who use prescription medications non-medically be derived from Twitter?
Yuan-Chi Yang, Mohammed Ali Al-Garadi, Jennifer S. Love, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
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