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:

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

Showing 25 citing articles:

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

Tracking changes in chlorophyll-a concentration and turbidity in Nansi Lake using Sentinel-2 imagery: A novel machine learning approach
Jiawei Zhang, Fei Meng, Pingjie Fu, et al.
Ecological Informatics (2024) Vol. 81, pp. 102597-102597
Open Access | Times Cited: 13

Estimation algorithm for chlorophyll-a concentrations in water from hyperspectral images based on feature derivation and ensemble learning
Jiawei Zhang, Pingjie Fu, Fei Meng, et al.
Ecological Informatics (2022) Vol. 71, pp. 101783-101783
Closed Access | Times Cited: 29

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

Analyzing the effect of user‐generated content on studio performance: A combined approach
Yang Liu
Managerial and Decision Economics (2024) Vol. 45, Iss. 4, pp. 2228-2248
Closed Access | Times Cited: 3

Short- and Medium-Term Power Demand Forecasting with Multiple Factors Based on Multi-Model Fusion
Qingqing Ji, Shiyu Zhang, Qiao Duan, et al.
Mathematics (2022) Vol. 10, Iss. 12, pp. 2148-2148
Open Access | Times Cited: 9

Sugarcane nitrogen nutrition estimation with digital images and machine learning methods
Hui You, Muchen Zhou, Junxiang Zhang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4

Predicting video views of web series based on comment sentiment analysis and improved stacking ensemble model
Chuanmin Mi, Mingzhu Li, Annisa Fitria Wulandari
Electronic Commerce Research (2022)
Closed Access | Times Cited: 5

Identifying purchase intention through deep learning: analyzing the Q &D text of an E-Commerce platform
Jing Ma, Xiaoyu Guo, Xufeng Zhao
Annals of Operations Research (2022) Vol. 339, Iss. 1-2, pp. 329-348
Closed Access | Times Cited: 4

Optimizing Film Companies’ Marketing Strategy Using Blockchain and Recurrent Neural Network Model
Yahui Yu, Jie Liu
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 4

Movie Box-Office Revenue Prediction Model by Mining Deep Features from Trailers Using Recurrent Neural Networks
Canaan Tinotenda Madongo, Zhongjun Tang, Jahanzeb Hassan
Journal of Advances in Information Technology (2024) Vol. 15, Iss. 6, pp. 764-783
Open Access

A refined approach to early movie box office prediction leveraging ensemble learning and feature encoding
Chuang Xie
Applied and Computational Engineering (2024) Vol. 75, Iss. 1, pp. 273-284
Closed Access

A Cross-Modal Transformer Based Model for Box-office Revenue Prediction
Canaan Tinotenda Madongo, Zhongjun Tang, Jahanzeb Hassan
Journal of Advances in Information Technology (2024) Vol. 15, Iss. 7, pp. 822-837
Open Access

Efficient Multi-Model Fusion with Adversarial Complementary Representation Learning
Zuheng Kang, Yayun He, Jianzong Wang, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-6
Closed Access

The impact of major infectious disease events and government relief packages on the film industry: evidence from Taiwan
Liza Lee, Ying-Sing Liu
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access

MFMGC: A Multi-modal Data Fusion Model for Movie Genre Classification
Xiaorui Yang, Qian Zhou, Wei Chen, et al.
Lecture notes in computer science (2023), pp. 676-691
Closed Access | Times Cited: 1

A movie box office revenues prediction algorithm based on human-machine collaboration feature processing
Dongqi Wang, Yanqing Wu, Chenmin Gu, et al.
Journal of Engineering Research (2022)
Open Access | Times Cited: 2

The economics of movies (revisited): A decade of literature in review
Jordi McKenzie
SSRN Electronic Journal (2021)
Closed Access | Times Cited: 2

Data Mining for the Global Multiplex Weekly Average Income Analysis
Nicholas Dominic, Gregorius Natanael Elwirehardja, Bens Pardamean
Procedia Computer Science (2023) Vol. 219, pp. 52-59
Open Access

Sugarcane nitrogen nutrition estimation with digital images and machine learning methods
Hui You, Muchen Zhou, Junxiang Zhang, et al.
Research Square (Research Square) (2023)
Open Access

Machine Learning Applications on Box-Office Revenue Forecasting: The Taiwanese Film Market Case Study
Shih‐Hao Lu, Hung‐Jen Wang, Anh-Tu Nguyen
Studies in systems, decision and control (2023), pp. 384-402
Closed Access

MAMRP: Multi-modal Data Aware Movie Rating Prediction
Mingfu Qin, Qian Zhou, Wei Chen, et al.
Lecture notes in computer science (2023), pp. 660-675
Closed Access

Box-office Revenue Prediction by Mining Deep Features from Movie Posters and Reviews Using Transformers
Canaan Tinotenda Madongo, Zhongjun Tang, Jahanzeb Hassan
(2023), pp. 1406-1412
Closed Access

Page 1

Scroll to top