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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:

Box-office forecasting based on sentiments of movie reviews and Independent subspace method
Minhoe Hur, Pilsung Kang, Sungzoon Cho
Information Sciences (2016) Vol. 372, pp. 608-624
Closed Access | Times Cited: 85

Showing 1-25 of 85 citing articles:

New energy vehicles sales forecasting using machine learning: The role of media sentiment
Jin Shao, Jingke Hong, Meiping Wang, et al.
Computers & Industrial Engineering (2025) Vol. 201, pp. 110928-110928
Closed Access | Times Cited: 1
Sentiment Analysis Using Machine Learning Approaches (Lexicon based on movie review dataset)
Ayushi Mitra
Journal of Ubiquitous Computing and Communication Technologies (2020) Vol. 2, Iss. 3, pp. 145-152
Open Access | Times Cited: 109
Predicting Vehicle Sales by Sentiment Analysis of Twitter Data and Stock Market Values
Ping‐Feng Pai, Chia-Hsin Liu
IEEE Access (2018) Vol. 6, pp. 57655-57662
Open Access | Times Cited: 95
Improved decisions for marketing, supply and purchasing: Mining big data through an integration of sentiment analysis and intuitionistic fuzzy multi criteria assessment
Sedef Çalı, Şebnem Yılmaz Balaman
Computers & Industrial Engineering (2019) Vol. 129, pp. 315-332
Closed Access | Times Cited: 94
The economics of movies (revisited): A survey of recent literature
Jordi McKenzie
Journal of Economic Surveys (2022) Vol. 37, Iss. 2, pp. 480-525
Open Access | Times Cited: 40
Using Machine Learning to Predict the Sentiment of Online Reviews: A New Framework for Comparative Analysis
Gregorius Satia Budhi, Raymond Chiong, Ilung Pranata, et al.
Archives of Computational Methods in Engineering (2021) Vol. 28, Iss. 4, pp. 2543-2566
Closed Access | Times Cited: 43
Using Twitter data to predict the performance of Bollywood movies
Dipak Damodar Gaikar, Bijith Marakarkandy, Chandan Dasgupta
Industrial Management & Data Systems (2015) Vol. 115, Iss. 9, pp. 1604-1621
Closed Access | Times Cited: 55
Predicting and ranking box office revenue of movies based on big data
Zhaoyuan Wang, Junbo Zhang, Shenggong Ji, et al.
Information Fusion (2020) Vol. 60, pp. 25-40
Closed Access | Times Cited: 42
Conducting Sentiment Analysis
Lei Lei, Dilin Liu
arXiv (Cornell University) (2021)
Open Access | Times Cited: 37
Automated defect identification for cell phones using language context, linguistic and smoke-word models
Muhammad Zeeshan Younas, Muhammad Shahid Iqbal Malik, Dmitry I. Ignatov
Expert Systems with Applications (2023) Vol. 227, pp. 120236-120236
Closed Access | Times Cited: 14
Quantum-inspired framework for big data analytics: evaluating the impact of movie trailers and its financial returns
Jaiteg Singh, Kamalpreet Singh Bhangu, Farman Ali, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Textual Analysis for Online Reviews: A Polymerization Topic Sentiment Model
Lijuan Huang, Zixin Dou, Yongjun Hu, et al.
IEEE Access (2019) Vol. 7, pp. 91940-91945
Open Access | Times Cited: 35
When should star power and eWOM be responsible for the box office performance? - An empirical study based on signaling theory
Liu Fan, Zhang Xiao-ping, Laxmisha Rai
Journal of Retailing and Consumer Services (2021) Vol. 62, pp. 102591-102591
Closed Access | Times Cited: 31
Social Media Mining
Deepankar Choudhery, Carson K. Leung
(2017)
Closed Access | Times Cited: 38
A novel probabilistic graphic model to detect product defects from social media data
Zheng Lu, Zhen He, Shuguang He
Decision Support Systems (2020) Vol. 137, pp. 113369-113369
Closed Access | Times Cited: 29
A movie box office revenue prediction model based on deep multimodal features
Canaan Tinotenda Madongo, Zhongjun Tang
Multimedia Tools and Applications (2023) Vol. 82, Iss. 21, pp. 31981-32009
Closed Access | Times Cited: 9
Systematic Literature Review on Opinion Mining of Big Data for Government Intelligence.
Akshi Kumar, Abhilasha Sharma
Webology (2017) Vol. 14
Closed Access | Times Cited: 31
A Survey on Machine Learning Techniques in Movie Revenue Prediction
Ibrahim Said Ahmad, Azuraliza Abu Bakar, Mohd Ridzwan Yaakub, et al.
SN Computer Science (2020) Vol. 1, Iss. 4
Open Access | Times Cited: 25
Early box office prediction in China’s film market based on a stacking fusion model
Yi Liao, Yuxuan Peng, Songlin Shi, et al.
Annals of Operations Research (2020) Vol. 308, Iss. 1-2, pp. 321-338
Open Access | Times Cited: 25
Leveraging analytics to produce compelling and profitable film content
Ronny Behrens, Natasha Zhang Foutz, Michael Franklin, et al.
Journal of Cultural Economics (2020) Vol. 45, Iss. 2, pp. 171-211
Closed Access | Times Cited: 24
Considering online consumer reviews to predict movie box-office performance between the years 2009 and 2014 in the US
Ya‐Han Hu, Wen-Ming Shiau, Sheng-Pao Shih, et al.
The Electronic Library (2018) Vol. 36, Iss. 6, pp. 1010-1026
Closed Access | Times Cited: 25
Online Sales Prediction: An Analysis With Dependency SCOR-Topic Sentiment Model
Lijuan Huang, Zixin Dou, Yongjun Hu, et al.
IEEE Access (2019) Vol. 7, pp. 79791-79797
Open Access | Times Cited: 23
Towards Data-Driven Decision-Making in the Korean Film Industry: An XAI Model for Box Office Analysis Using Dimension Reduction, Clustering, and Classification
Subeen Leem, Jisong Oh, Dayeong So, et al.
Entropy (2023) Vol. 25, Iss. 4, pp. 571-571
Open Access | Times Cited: 7
A two-stage deep graph clustering method for identifying the evolutionary patterns of the time series of animation view counts
Duokui He, Zhongjun Tang, Qianqian Chen, et al.
Information Sciences (2023) Vol. 642, pp. 119155-119155
Closed Access | Times Cited: 7
Two faces of review inconsistency: The respective effects of internal and external inconsistencies on job review helpfulness
Jinwook Choi, Seung Hee Yoo, Hanjun Lee
Computers in Human Behavior (2022) Vol. 140, pp. 107570-107570
Closed Access | Times Cited: 11
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