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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:

Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task
Abeed Sarker, Maksim Belousov, Jasper Friedrichs, et al.
Journal of the American Medical Informatics Association (2018) Vol. 25, Iss. 10, pp. 1274-1283
Open Access | Times Cited: 96

Showing 1-25 of 96 citing articles:

Overview of the Fourth Social Media Mining for Health (SMM4H) Shared Tasks at ACL 2019
Davy Weissenbacher, Abeed Sarker, Arjun Magge, et al.
(2019)
Open Access | Times Cited: 96
Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media Chatter
Abeed Sarker, Graciela Gonzalez‐Hernandez, Yucheng Ruan, et al.
JAMA Network Open (2019) Vol. 2, Iss. 11, pp. e1914672-e1914672
Open Access | Times Cited: 94
Recent Advances in Using Natural Language Processing to Address Public Health Research Questions Using Social Media and ConsumerGenerated Data
Mike Conway, Mengke Hu, Wendy W. Chapman
Yearbook of Medical Informatics (2019) Vol. 28, Iss. 01, pp. 208-217
Open Access | Times Cited: 92
Overview of the Third Social Media Mining for Health (SMM4H) Shared Tasks at EMNLP 2018
Davy Weissenbacher, Abeed Sarker, Michael J. Paul, et al.
(2018)
Open Access | Times Cited: 86
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
Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium
Ari Z. Klein, Juan M. Banda, Yuting Guo, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 4, pp. 991-996
Open Access | Times Cited: 12
Position-context additive transformer-based model for classifying text data on social media
Mohammad Abdelaziz, Nora El-Rashidy, Ahmed Abou Elfetouh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Natural language processing of Reddit data to evaluate dermatology patient experiences and therapeutics
Edidiong Okon, Vishnutheja Rachakonda, Hyo Jung Hong, et al.
Journal of the American Academy of Dermatology (2019) Vol. 83, Iss. 3, pp. 803-808
Closed Access | Times Cited: 65
Artificial Intelligence-Based Pharmacovigilance in the Setting of Limited Resources
Likeng Liang, Jifa Hu, Gang Sun, et al.
Drug Safety (2022) Vol. 45, Iss. 5, pp. 511-519
Open Access | Times Cited: 33
An overview of biomedical entity linking throughout the years
Evan French, Bridget T. McInnes
Journal of Biomedical Informatics (2022) Vol. 137, pp. 104252-104252
Open Access | Times Cited: 29
Deep Neural Models for Medical Concept Normalization in User-Generated Texts
Zulfat Miftahutdinov, Elena Tutubalina
(2019)
Open Access | Times Cited: 52
Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework
Abeed Sarker, Annika DeRoos, Jeanmarie Perrone
Journal of the American Medical Informatics Association (2019) Vol. 27, Iss. 2, pp. 315-329
Open Access | Times Cited: 51
The Russian Drug Reaction Corpus and neural models for drug reactions and effectiveness detection in user reviews
Elena Tutubalina, Ilseyar Alimova, Zulfat Miftahutdinov, et al.
Bioinformatics (2020) Vol. 37, Iss. 2, pp. 243-249
Open Access | Times Cited: 40
DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter
Arjun Magge, Elena Tutubalina, Zulfat Miftahutdinov, et al.
Journal of the American Medical Informatics Association (2021) Vol. 28, Iss. 10, pp. 2184-2192
Open Access | Times Cited: 38
A simple neural vector space model for medical concept normalization using concept embeddings
Dongfang Xu, Timothy A. Miller
Journal of Biomedical Informatics (2022) Vol. 130, pp. 104080-104080
Open Access | Times Cited: 24
Pilot Study of a Mobile Phone Chatbot for Medication Adherence and Toxicity Management Among Patients With GI Cancers on Capecitabine
Kelsey S. Lau‐Min, Jessica P. Marini, Nishant K. Shah, et al.
JCO Oncology Practice (2024) Vol. 20, Iss. 4, pp. 483-490
Closed Access | Times Cited: 5
Deep neural networks ensemble for detecting medication mentions in tweets
Davy Weissenbacher, Abeed Sarker, Ari Z. Klein, et al.
Journal of the American Medical Informatics Association (2019) Vol. 26, Iss. 12, pp. 1618-1626
Open Access | Times Cited: 39
A Generate-and-Rank Framework with Semantic Type Regularization for Biomedical Concept Normalization
Dongfang Xu, Zeyu Zhang, Steven Bethard
(2020)
Open Access | Times Cited: 39
Complementing the US Food and Drug Administration Adverse Event Reporting System With Adverse Drug Reaction Reporting From Social Media: Comparative Analysis
Zeyun Zhou, Kyle E. Hultgren
JMIR Public Health and Surveillance (2020) Vol. 6, Iss. 3, pp. e19266-e19266
Open Access | Times Cited: 33
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
Can reproducibility be improved in clinical natural language processing? A study of 7 clinical NLP suites
William Digan, Aurélie Névéol, Antoine Neuraz, et al.
Journal of the American Medical Informatics Association (2020) Vol. 28, Iss. 3, pp. 504-515
Open Access | Times Cited: 28
Enhancing data quality in medical concept normalization through large language models
Haihua Chen, Ruochi Li, Ana D. Cleveland, et al.
Journal of Biomedical Informatics (2025), pp. 104812-104812
Closed Access
The Impact of Technological Progress on Pharmacovigilance
Jian Yang, Fan Li
IntechOpen eBooks (2025)
Closed Access
KFU NLP Team at SMM4H 2019 Tasks: Want to Extract Adverse Drugs Reactions from Tweets? BERT to The Rescue
Zulfat Miftahutdinov, Ilseyar Alimova, Elena Tutubalina
(2019)
Open Access | Times Cited: 29
Prospective Evaluation of Adverse Event Recognition Systems in Twitter: Results from the Web-RADR Project
Lucie M. Gattepaille, Sara Hedfors Vidlin, Tomas Bergvall, et al.
Drug Safety (2020) Vol. 43, Iss. 8, pp. 797-808
Open Access | Times Cited: 25
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