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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:

Creating and Comparing Dictionary, Word Embedding, and Transformer-Based Models to Measure Discrete Emotions in German Political Text
Tobias Widmann, Maximilian Wich
Political Analysis (2022) Vol. 31, Iss. 4, pp. 626-641
Open Access | Times Cited: 44

Showing 26-50 of 44 citing articles:

A systematic evaluation of text mining methods for short texts: Mapping individuals’ internal states from online posts
Ana Macanovic, Wojtek Przepiorka
Behavior Research Methods (2024) Vol. 56, Iss. 4, pp. 2782-2803
Open Access | Times Cited: 2
Analyzing Natural Language Processing Techniques to Extract Meaningful Information on Skills Acquisition from Textual Content
Luis José González-Gómez, Sofia Margarita Hernandez-Munoz, Abiel Borja, et al.
IEEE Access (2024) Vol. 12, pp. 139742-139757
Open Access | Times Cited: 2
Blame avoidance and credit-claiming dynamics in government policy communications: evidence from leadership tweets in four OECD countries during the 2020–2022 COVID-19 pandemic
Ching Leong, Michael Howlett, Mehrdad Safaei
Policy and Society (2023) Vol. 42, Iss. 4, pp. 564-585
Open Access | Times Cited: 5
Cross-cutting interaction, inter-party hostility, and partisan identity: Analysis of offensive speech in social media
Zeyu Lyu
New Media & Society (2023)
Closed Access | Times Cited: 4
Do Politicians Appeal to Discrete Emotions? The Effect of Wind Turbine Construction on Elite Discourse
Tobias Widmann
The Journal of Politics (2024) Vol. 87, Iss. 1, pp. 335-346
Closed Access | Times Cited: 1
A Transformer-BERT Integrated Model-Based Automatic Conversation Method Under English Context
Xing’an Li, Tangfa Liu, Longlong Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 55757-55767
Open Access | Times Cited: 1
Seeded Topic Models in Digital Archives: Analyzing Interpretations of Immigration in Swedish Newspapers, 1945–2019
Miriam Hurtado Bodell, Måns Magnusson, Marc Keuschnigg
Sociological Methods & Research (2024)
Open Access | Times Cited: 1
Explaining Interruption Behavior in Parliament: The Role of Topic Expertise, Career Status, and Government-Opposition Dynamics
Julius Diener
Politische Vierteljahresschrift (2024)
Open Access | Times Cited: 1
Worldwide Media Visibility of NATO, the European Union, and the United Nations in Connection to the Russia-Ukraine War
Michal Pařízek
Mezinárodní vztahy (2023)
Open Access | Times Cited: 3
Sentiment as an Ordinal Latent Variable
Niklas Stoehr, Ryan Cotterell, Aaron Schein
(2023), pp. 103-115
Open Access | Times Cited: 2
Comparative European legislative research in the age of large-scale computational text analysis: A review article
Miklós Sebők, Sven‐Oliver Proksch, Christian Rauh, et al.
International Political Science Review (2023)
Open Access | Times Cited: 2
Sentiment Analysis
Katharina F. Gallant, Jolanda van der Noll
Springer eBooks (2024), pp. 171-197
Closed Access
Methodology
Katharina F. Gallant, Jolanda van der Noll
Springer eBooks (2024), pp. 27-44
Closed Access
Goodbye Human Annotators? Content Analysis of Policy Debates using ChatGPT
Erwin Gielens, Jakub Sowula
(2024)
Open Access
Convolution SSM model for text emotion classification
Jiaxin Shi, Mingyue Xiang
(2024), pp. 89-89
Closed Access
To Follow or Not to Follow: Estimating Political Opinion From Twitter Data Using a Network-Based Machine Learning Approach
Nils Brandenstein, Christian Montag, Cornelia Sindermann
Social Science Computer Review (2024)
Closed Access
Emotion topology: extracting fundamental components of emotions from text using word embeddings
Hubert Plisiecki, Adam Sobieszek
Frontiers in Psychology (2024) Vol. 15
Open Access
JST and rJST: joint estimation of sentiment and topics in textual data using a semi-supervised approach
Christian Pipal, Martijn Schoonvelde, Gijs Schumacher, et al.
Communication Methods and Measures (2024), pp. 1-19
Open Access
Utilization of transformer model in multimodal data fusion learning: Cross-modal knowledge transfer in the new generation learning space
Qing Ma
Intelligent Decision Technologies (2024), pp. 1-13
Closed Access
The construction of a Chinese fine-grained sentiment dictionary for Chinese domestic investors (CN-FSD) and its application
Yuanyuan Ma, Tianjie Zhang, Pingping Zhang
Expert Systems with Applications (2024) Vol. 264, pp. 125739-125739
Closed Access
Dictionary-Assisted Supervised Contrastive Learning
Patrick Y. Wu, Richard Bonneau, Joshua A. Tucker, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 10217-10235
Open Access | Times Cited: 1
An Improved Framework for Scaling Party Positions from Texts with Transformer
Hung Hoang Viet Nguyen
(2023)
Open Access
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