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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:

Twitter conversations predict the daily confirmed COVID-19 cases
Rabindra Lamsal, Aaron Harwood, Maria A. Rodriguez
Applied Soft Computing (2022) Vol. 129, pp. 109603-109603
Open Access | Times Cited: 22

Showing 22 citing articles:

Sentiment Analysis of Twitter Data
Yili Wang, Jiaxuan Guo, Chengsheng Yuan, et al.
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11775-11775
Open Access | Times Cited: 59
Social media sentiment analysis and opinion mining in public security: Taxonomy, trend analysis, issues and future directions
Mohd Suhairi Md Suhaimin, Mohd Hanafi Ahmad Hijazi, Ervin Gubin Moung, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 9, pp. 101776-101776
Open Access | Times Cited: 21
Can the number of confirmed COVID-19 cases be predicted more accurately by including lifestyle data? An exploratory study for data-driven prediction of COVID-19 cases in metropolitan cities using deep learning models
Sungwook Jung
Digital Health (2025) Vol. 11
Open Access
Advancing the Sensitivity Frontier in digital contact tracing: Comparative analysis of proposed methods toward maximized utility
Junko Ami, Yanbo Pang, Hiroshi Masui, et al.
Informatics in Medicine Unlocked (2025), pp. 101622-101622
Open Access
Soaring Energy Prices: Understanding Public Engagement on Twitter Using Sentiment Analysis and Topic Modeling With Transformers
Zenun Kastrati, Ali Shariq Imran, Sher Muhammad Daudpota, et al.
IEEE Access (2023) Vol. 11, pp. 26541-26553
Open Access | Times Cited: 10
Bibliometric Analysis of Granger Causality Studies
Lam Weng Siew, Lam Weng Hoe, Saiful Hafizah Jaaman, et al.
Entropy (2023) Vol. 25, Iss. 4, pp. 632-632
Open Access | Times Cited: 8
Enhancing CNN‐LSTM neural networks using jellyfish search algorithm for pandemic modeling
Azade Hashemi Feriz, Mehrdad Jalali, Yahya Forghani
Concurrency and Computation Practice and Experience (2024) Vol. 36, Iss. 17
Closed Access | Times Cited: 2
From Heroes to Scoundrels: Exploring the effects of online campaigns celebrating frontline workers on COVID-19 outcomes
Efstathios Polyzos, Anestis Fotiadis, Tzung‐Cheng Huan
Technology in Society (2023) Vol. 72, pp. 102198-102198
Open Access | Times Cited: 7
Regional contagion in health behaviors: evidence from COVID-19 vaccination modeling in England with social network theorem
Yiang Li, Xingzuo Zhou, Zejian Lyu
Journal of Computational Social Science (2024) Vol. 7, Iss. 1, pp. 197-216
Closed Access | Times Cited: 1
GeoCovaxTweets: A global analysis of COVID-19 vaccines and vaccination discourse on social media
Pardeep Singh, Rabindra Lamsal, Monika Singh, et al.
Journal of Intelligent & Fuzzy Systems (2024), pp. 1-17
Closed Access | Times Cited: 1
MGLEP: Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data
Khanh-Tung Tran, Truong Son Hy, Lili Jiang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Leveraging social media data for pandemic detection and prediction
Boyang Shi, Weixiang Huang, Yuanyuan Dang, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Where did you tweet from? Inferring the origin locations of tweets based on contextual information
Rabindra Lamsal, Aaron Harwood, Maria A. Rodriguez
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 3935-3944
Open Access | Times Cited: 7
A Twitter Narrative of the COVID-19 Pandemic in Australia
Rabindra Lamsal, Maria A. Rodriguez, Shanika Karunasekera
Proceedings of the ... International ISCRAM Conference (2023)
Closed Access | Times Cited: 3
Healthcare Sustainability: Hospitalization Rate Forecasting with Transfer Learning and Location-Aware News Analysis
Jing Chen, Germán G. Creamer, Yue Ning, et al.
Sustainability (2023) Vol. 15, Iss. 22, pp. 15840-15840
Open Access | Times Cited: 3
Improving Twitter Sentiment Analysis Efficiency with SVM-PSO Classification and EFWS Heuristic
Vijay Gupta, Punam Rattan
Procedia Computer Science (2023) Vol. 230, pp. 698-715
Open Access | Times Cited: 3
Extracting Self-Reported COVID-19 Symptom Tweets and Twitter Movement Mobility Origin/Destination Matrices to Inform Disease Models
Conor Rosato, Robert Moore, Matthew Carter, et al.
Information (2023) Vol. 14, Iss. 3, pp. 170-170
Open Access | Times Cited: 2
Machine Learning Techniques for Disease Prediction
Nikhil Potnis, Bhavana Tiple
ITM Web of Conferences (2023) Vol. 57, pp. 01004-01004
Open Access | Times Cited: 2
Research on Network Public Opinion in War Damage Incident of Major Water Conservancy Projects
Xinyu Wang, Lianghai Jin, Shuqing Wang
IEEE Access (2024) Vol. 12, pp. 37247-37255
Open Access
Using Explainable Artificial Intelligence and Knowledge Graph to Explain Sentiment Analysis of COVID-19 Post on the Twitter
Yi-Wei Lai, Mu‐Yen Chen
(2024), pp. 39-49
Closed Access
Forecasting Emerging Pandemics with Transfer Learning and Location-aware News Analysis
Jing Chen, Germán G. Creamer, Yue Ning
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 874-883
Closed Access | Times Cited: 2
A Twitter narrative of the COVID-19 pandemic in Australia
Rabindra Lamsal, Maria A. Rodriguez, Shanika Karunasekera
arXiv (Cornell University) (2023)
Open Access
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