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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:

Word embeddings for topic modeling: An application to the estimation of the economic policy uncertainty index
Hairo U. Miranda-Belmonte, Víctor Muñiz-Sánchez, Francisco Corona
Expert Systems with Applications (2022) Vol. 211, pp. 118499-118499
Open Access | Times Cited: 12

Showing 12 citing articles:

Exploring the generative AI adoption in service industry: A mixed-method analysis
Rohit Gupta, Bhawana Rathore
Journal of Retailing and Consumer Services (2024) Vol. 81, pp. 103997-103997
Closed Access | Times Cited: 13
Understanding the influence of news on society decision making: application to economic policy uncertainty
Paul Trust, Ahmed H. Zahran, Rosane Minghim
Neural Computing and Applications (2023) Vol. 35, Iss. 20, pp. 14929-14945
Open Access | Times Cited: 5
Identifying issues in international construction projects from news text using pre-trained models and clustering
Sehwan Chung, Jungyeon Kim, Joonwoo Baik, et al.
Automation in Construction (2024) Vol. 168, pp. 105875-105875
Closed Access | Times Cited: 1
A Normalized Global Economic Policy Uncertainty Index from Unsupervised Machine Learning
Wangfang Xu, Wen-Jia Rao, Longbao Wei, et al.
Mathematics (2023) Vol. 11, Iss. 15, pp. 3268-3268
Open Access | Times Cited: 3
Sentiment-semantic word vectors - A new method to estimate management sentiment
Minh Tri Phan
SSRN Electronic Journal (2024)
Closed Access
Issue Identification from News Text for International Construction Projects Using Pre-Trained Language Model and Text Clustering
Sehwan Chung, Jungyeon Kim, Joonwoo Baik, et al.
(2024)
Closed Access
Sentiment-semantic word vectors: A new method to estimate management sentiment
Tri Minh Phan
Zeitschrift für schweizerische Statistik und Volkswirtschaft/Schweizerische Zeitschrift für Volkswirtschaft und Statistik/Swiss journal of economics and statistics (2024) Vol. 160, Iss. 1
Open Access
Sentence Embeddings and Semantic Entity Extraction for Identification of Topics of Short Fact-Checked Claims
Krzysztof Węcel, Marcin Sawiński, Włodzimierz Lewoniewski, et al.
Information (2024) Vol. 15, Iss. 10, pp. 659-659
Open Access
FRGEM: Feature integration pre-training based Gaussian embedding model for Chinese word representation
Yun Zhang, Y LIU, Jiajing Zhu, et al.
Expert Systems with Applications (2024), pp. 125589-125589
Closed Access
Federated Learning Enhanced MLP–LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction
Jayaraman Kumarappan, R Elakkiya, V. Subramaniyaswamy, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access
Research on the Application of Topic Models Based on Geological Disaster Information Mining
Gang Cheng, Qinliang You, Gangqiang Li, et al.
Information (2024) Vol. 15, Iss. 12, pp. 795-795
Open Access
News Topic Modeling for International Construction Projects Based on Text Clustering Using Bidirectional Encoder Representations from Transformers (Bert)
Sehwan Chung, Jungyeon Kim, Joonwoo Baik, et al.
(2023)
Closed Access | Times Cited: 1
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