Open Access Helper

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:

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: 95

Showing 26-50 of 95 citing articles:

Overcoming Data Imbalance Problems in Sexual Harassment Classification with SMOTE
Aji Gautama Putrada, Irfan Dwi Wijaya, Dita Oktaria
International Journal on Information and Communication Technology (IJoICT) (2022) Vol. 8, Iss. 1, pp. 20-29
Open Access | Times Cited: 14
Comparison of Pretraining Models and Strategies for Health-Related Social Media Text Classification
Yuting Guo, Yao Ge, Yuan-Chi Yang, et al.
Healthcare (2022) Vol. 10, Iss. 8, pp. 1478-1478
Open Access | Times Cited: 14
Overview of the 8thSocial Media Mining for Health Applications (#SMM4H) Shared Tasks at the AMIA 2023 Annual Symposium
Ari Z. Klein, Juan M. Banda, Yuting Guo, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 8
The risk of racial bias while tracking influenza-related content on social media using machine learning
Brandon Lwowski, Anthony Rios
Journal of the American Medical Informatics Association (2020) Vol. 28, Iss. 4, pp. 839-849
Open Access | Times Cited: 23
Adverse Events in Twitter-Development of a Benchmark Reference Dataset: Results from IMI WEB-RADR
Juergen Dietrich, Lucie M. Gattepaille, Britta Anne Grum, et al.
Drug Safety (2020) Vol. 43, Iss. 5, pp. 467-478
Open Access | Times Cited: 21
Machine Learning in Causal Inference: Application in Pharmacovigilance
Yiqing Zhao, Yue Yu, Hanyin Wang, et al.
Drug Safety (2022) Vol. 45, Iss. 5, pp. 459-476
Open Access | Times Cited: 13
Performance and Reproducibility of Large Language Models in Named Entity Recognition: Considerations for the Use in Controlled Environments
Juergen Dietrich, André Hollstein
Drug Safety (2024)
Open Access | Times Cited: 2
Fair Evaluation in Concept Normalization: a Large-scale Comparative Analysis for BERT-based Models
Elena Tutubalina, Artur Kadurin, Zulfat Miftahutdinov
Proceedings of the 17th international conference on Computational linguistics - (2020), pp. 6710-6716
Closed Access | Times Cited: 19
Using a digital patient powered research network to identify outcomes of importance to patients with multiple myeloma
Katharine S. Gries, John Fastenau
Journal of Patient-Reported Outcomes (2020) Vol. 4, Iss. 1
Open Access | Times Cited: 18
ADE Eval: An Evaluation of Text Processing Systems for Adverse Event Extraction from Drug Labels for Pharmacovigilance
Samuel Bayer, Cheryl Clark, Oanh Dang, et al.
Drug Safety (2020) Vol. 44, Iss. 1, pp. 83-94
Open Access | Times Cited: 18
Towards scaling Twitter for digital epidemiology of birth defects
Ari Z. Klein, Abeed Sarker, Davy Weissenbacher, et al.
npj Digital Medicine (2019) Vol. 2, Iss. 1
Open Access | Times Cited: 19
Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media
Shivam Raval, Hooman Sedghamiz, Enrico Santus, et al.
(2021)
Open Access | Times Cited: 13
The Role of Social Media for Identifying Adverse Drug Events Data in Pharmacovigilance: Protocol for a Scoping Review
Su Golder, Karen O’Connor, Yunwen Wang, et al.
JMIR Research Protocols (2023) Vol. 12, pp. e47068-e47068
Open Access | Times Cited: 5
C-Norm: a neural approach to few-shot entity normalization
Arnaud Ferré, Louise Deléger, Robert Bossy, et al.
BMC Bioinformatics (2020) Vol. 21, Iss. S23
Open Access | Times Cited: 14
Daily life patients sentiment analysis model based on well-encoded embedding vocabulary for related-medication text
Hanane Grisstte, El Habib Nfaoui
(2019), pp. 921-928
Closed Access | Times Cited: 13
MIDAS@SMM4H-2019: Identifying Adverse Drug Reactions and Personal Health Experience Mentions from Twitter
Debanjan Mahata, Sarthak Anand, Haimin Zhang, et al.
(2019), pp. 127-132
Open Access | Times Cited: 12
Use of Social Media for Pharmacovigilance Activities: Key Findings and Recommendations from the Vigi4Med Project
Bissan Audeh, Florelle Bellet, Marie‐Noëlle Beyens, et al.
Drug Safety (2020) Vol. 43, Iss. 9, pp. 835-851
Closed Access | Times Cited: 11
Public Perspectives of Using Social Media Data to Improve Adverse Drug Reaction Reporting: A Mixed-Methods Study
Alexander Bulcock, Lamiece Hassan, Sally Giles, et al.
Drug Safety (2021) Vol. 44, Iss. 5, pp. 553-564
Open Access | Times Cited: 10
AI-Enabled Grouping Bridgehead to Secure Penetration Topics of Metaverse
Woo Hyun Park, Isma Farah Siddiqui, Nawab Muhammad Faseeh Qureshi
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 73, Iss. 3, pp. 5609-5624
Open Access | Times Cited: 7
Data-Driven Lexical Normalization for Medical Social Media
Anne Dirkson, Suzan Verberne, Abeed Sarker, et al.
Multimodal Technologies and Interaction (2019) Vol. 3, Iss. 3, pp. 60-60
Open Access | Times Cited: 10
Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task

(2019)
Open Access | Times Cited: 10
Enhancing convolution-based sentiment extractor via dubbed N-gram embedding-related drug vocabulary
Hanane Grissette, El Habib Nfaoui
Network Modeling Analysis in Health Informatics and Bioinformatics (2020) Vol. 9, Iss. 1
Closed Access | Times Cited: 9
Target Concept Guided Medical Concept Normalization in Noisy User-Generated Texts
Katikapalli Subramanyam Kalyan, S. Sangeetha
(2020)
Open Access | Times Cited: 9
Pulse of the pandemic: Iterative topic filtering for clinical information extraction from social media
Julia Wu, Venkatesh Sivaraman, Dheekshita Kumar, et al.
Journal of Biomedical Informatics (2021) Vol. 120, pp. 103844-103844
Open Access | Times Cited: 9
CONORM: Context-Aware Entity Normalization for Adverse Drug Event Detection
Anthony Yazdani, Hossein Rouhizadeh, Alban Bornet, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3

Scroll to top