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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:

An integrated framework of deep learning and knowledge graph for prediction of stock price trend: An application in Chinese stock exchange market
Jiawei Long, Zhaopeng Chen, Weibing He, et al.
Applied Soft Computing (2020) Vol. 91, pp. 106205-106205
Closed Access | Times Cited: 228

Showing 26-50 of 228 citing articles:

Achieving Knowledge-as-a-Service in IIoT-driven smart manufacturing: A crowdsourcing-based continuous enrichment method for Industrial Knowledge Graph
Mengtao Lyu, Xinyu Li, Chun‐Hsien Chen
Advanced Engineering Informatics (2021) Vol. 51, pp. 101494-101494
Closed Access | Times Cited: 46
A survey of the application of graph-based approaches in stock market analysis and prediction
Suman Saha, Junbin Gao, Richard Gerlach
International Journal of Data Science and Analytics (2022) Vol. 14, Iss. 1, pp. 1-15
Open Access | Times Cited: 34
Forecasting the overnight return direction of stock market index combining global market indices: A multiple-branch deep learning approach
Ruize Gao, Xin Zhang, Hongwu Zhang, et al.
Expert Systems with Applications (2022) Vol. 194, pp. 116506-116506
Closed Access | Times Cited: 33
A stock time series forecasting approach incorporating candlestick patterns and sequence similarity
Mengxia Liang, Shaocong Wu, Xiaolong Wang, et al.
Expert Systems with Applications (2022) Vol. 205, pp. 117595-117595
Open Access | Times Cited: 30
An adaptive feature selection schema using improved technical indicators for predicting stock price movements
Gang Ji, Jingmin Yu, Kai Hu, et al.
Expert Systems with Applications (2022) Vol. 200, pp. 116941-116941
Closed Access | Times Cited: 29
Extending machine learning prediction capabilities by explainable AI in financial time series prediction
Taha Buğra Çeli̇k, Özgür İcan, Elif Bulut
Applied Soft Computing (2022) Vol. 132, pp. 109876-109876
Closed Access | Times Cited: 29
A novel interval dual convolutional neural network method for interval-valued stock price prediction
Manrui Jiang, Wei Chen, Huilin Xu, et al.
Pattern Recognition (2023) Vol. 145, pp. 109920-109920
Closed Access | Times Cited: 20
McVCsB: A new hybrid deep learning network for stock index prediction
Chenhao Cui, Peiwan Wang, Yong Li, et al.
Expert Systems with Applications (2023) Vol. 232, pp. 120902-120902
Closed Access | Times Cited: 18
Data vs. information: Using clustering techniques to enhance stock returns forecasting
Javier Vásquez Sáenz, Facundo Quiroga, Aurelio F. Bariviera
International Review of Financial Analysis (2023) Vol. 88, pp. 102657-102657
Open Access | Times Cited: 16
Stock market index prediction based on reservoir computing models
Weijia Wang, Yong Tang, Jason Xiong, et al.
Expert Systems with Applications (2021) Vol. 178, pp. 115022-115022
Closed Access | Times Cited: 39
Automating Materials Exploration with a Semantic Knowledge Graph for Li‐Ion Battery Cathodes
Zhiwei Nie, Shisheng Zheng, Yuanji Liu, et al.
Advanced Functional Materials (2022) Vol. 32, Iss. 26
Closed Access | Times Cited: 24
GCNET: Graph-based prediction of stock price movement using graph convolutional network
Alireza Jafari, Saman Haratizadeh
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105452-105452
Open Access | Times Cited: 23
Stock Trading Strategies Based on Deep Reinforcement Learning
Yawei Li, Peipei Liu, Ze Wang
Scientific Programming (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 22
Group Penalized Multinomial Logit Models and Stock Return Direction Prediction
Xuemei Hu, Junwen Yang
IEEE Transactions on Information Theory (2024) Vol. 70, Iss. 6, pp. 4297-4318
Closed Access | Times Cited: 5
Advancements in Artificial Intelligence and Machine Learning for Stock Market Prediction: A Comprehensive Analysis of Techniques and Case Studies
Rihab Najem, Meryem Fakhouri Amr, Ayoub Bahnasse, et al.
Procedia Computer Science (2024) Vol. 231, pp. 198-204
Open Access | Times Cited: 4
Fx-spot predictions with state-of-the-art transformer and time embeddings
Tizian Fischer, Marius Sterling, Stefan Lessmann
Expert Systems with Applications (2024) Vol. 249, pp. 123538-123538
Open Access | Times Cited: 4
Integrating machine learning and deep learning algorithms in knowledge graph for disease screening and cataloging: Tools and approaches for drug invention and additive manufacturing
Bhupinder Singh, Christian Kaunert
Elsevier eBooks (2025), pp. 181-193
Closed Access
Mapping stock market dynamics: A tripartite neural network approach using modified grid search for stock market prediction
Sachin Singh, Mohinder Singh, Shradha Attri
Expert Systems with Applications (2025), pp. 127243-127243
Closed Access
Modelling supply chain risk events by considering their contributing events: a systematic literature review
Maryam Shahsavari, Omar Khadeer Hussain, Pankaj Sharma, et al.
Enterprise Information Systems (2025)
Open Access
Unraveling asset pricing with AI: A systematic literature review
Yan Chen, Lin Zhang, Zhilong Xie, et al.
Applied Soft Computing (2025), pp. 112978-112978
Closed Access
Knowledge graph and deep learning combined with a stock price prediction network focusing on related stocks and mutation points
Meiyao Tao, Shanshan Gao, Deqian Mao, et al.
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 7, pp. 4322-4334
Open Access | Times Cited: 21
Combining LSTM and CNN methods and fundamental analysis for stock price trend prediction
Zahra Nourbakhsh, Narges Habibi
Multimedia Tools and Applications (2022) Vol. 82, Iss. 12, pp. 17769-17799
Closed Access | Times Cited: 20
A knowledge graph–GCN–community detection integrated model for large-scale stock price prediction
Ting Wang, Jiale Guo, Yuehui Shan, et al.
Applied Soft Computing (2023) Vol. 145, pp. 110595-110595
Closed Access | Times Cited: 12
A novel study on deep learning framework to predict and analyze the financial time series information
Yang Shuigen
Future Generation Computer Systems (2021) Vol. 125, pp. 812-819
Closed Access | Times Cited: 23
A novel fuzzy knowledge graph pairs approach in decision making
Cu Kim Long, Hai Van Pham, Trần Mạnh Tuấn, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 18, pp. 26505-26534
Closed Access | Times Cited: 18

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