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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 1-25 of 228 citing articles:

Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis
Mojtaba Nabipour, Pooyan Nayyeri, Hamed Jabani, et al.
IEEE Access (2020) Vol. 8, pp. 150199-150212
Open Access | Times Cited: 337
Deep Learning for Stock Market Prediction
Mojtaba Nabipour, Pooyan Nayyeri, Hamed Jabani, et al.
Entropy (2020) Vol. 22, Iss. 8, pp. 840-840
Open Access | Times Cited: 285
Domain-specific knowledge graphs: A survey
Bilal Abu-Salih
Journal of Network and Computer Applications (2021) Vol. 185, pp. 103076-103076
Open Access | Times Cited: 257
A novel graph convolutional feature based convolutional neural network for stock trend prediction
Wei Chen, Manrui Jiang, Wei-Guo Zhang, et al.
Information Sciences (2020) Vol. 556, pp. 67-94
Closed Access | Times Cited: 218
Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process
Kyung Keun Yun, Sang Won Yoon, Daehan Won
Expert Systems with Applications (2021) Vol. 186, pp. 115716-115716
Closed Access | Times Cited: 198
Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions
Ankit Thakkar, Kinjal Chaudhari
Information Fusion (2020) Vol. 65, pp. 95-107
Open Access | Times Cited: 172
Financial applications of machine learning: A literature review
Noella Nazareth, Y.V. Reddy
Expert Systems with Applications (2023) Vol. 219, pp. 119640-119640
Closed Access | Times Cited: 100
Deep Learning-based Integrated Framework for stock price movement prediction
Yanli Zhao, Guang Yang
Applied Soft Computing (2022) Vol. 133, pp. 109921-109921
Closed Access | Times Cited: 71
Stock Prediction by Integrating Sentiment Scores of Financial News and MLP-Regressor: A Machine Learning Approach
Junaid Maqbool, Preeti Aggarwal, Ravreet Kaur, et al.
Procedia Computer Science (2023) Vol. 218, pp. 1067-1078
Open Access | Times Cited: 44
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces
Jiahang Cao, Jinyuan Fang, Zaiqiao Meng, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 6, pp. 1-42
Open Access | Times Cited: 27
Machine learning in finance: A topic modeling approach
Saqib Aziz, Michael Dowling, Helmi Hammami, et al.
European Financial Management (2021) Vol. 28, Iss. 3, pp. 744-770
Closed Access | Times Cited: 101
Exploiting knowledge graphs in industrial products and services: A survey of key aspects, challenges, and future perspectives
Xinyu Li, Mengtao Lyu, Zuoxu Wang, et al.
Computers in Industry (2021) Vol. 129, pp. 103449-103449
Open Access | Times Cited: 93
Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane
Pei-Yi Hao, Chien-Feng Kung, Chun-Yang Chang, et al.
Applied Soft Computing (2020) Vol. 98, pp. 106806-106806
Closed Access | Times Cited: 80
Constructing a stock-price forecast CNN model with gold and crude oil indicators
Yuchen Chen, Wen-Chen Huang
Applied Soft Computing (2021) Vol. 112, pp. 107760-107760
Closed Access | Times Cited: 77
A Survey of Forex and Stock Price Prediction Using Deep Learning
Zexin Hu, Yiqi Zhao, Matloob Khushi
Applied System Innovation (2021) Vol. 4, Iss. 1, pp. 9-9
Open Access | Times Cited: 65
A machine learning trading system for the stock market based on N-period Min-Max labeling using XGBoost
Yechan Han, Jaeyun Kim, David Enke
Expert Systems with Applications (2022) Vol. 211, pp. 118581-118581
Closed Access | Times Cited: 58
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding
Bilal Abu-Salih, Marwan Al-Tawil, Ibrahim Aljarah, et al.
Data Mining and Knowledge Discovery (2021) Vol. 35, Iss. 4, pp. 1497-1536
Closed Access | Times Cited: 56
Stock Price Forecast Based on CNN-BiLSTM-ECA Model
Yu Chen, Ruixin Fang, Ting Liang, et al.
Scientific Programming (2021) Vol. 2021, pp. 1-20
Open Access | Times Cited: 55
Forecasting stock market for an efficient portfolio by combining XGBoost and Hilbert–Huang​ transform
Arsalan Dezhkam, Mohammad Taghi Manzuri
Engineering Applications of Artificial Intelligence (2022) Vol. 118, pp. 105626-105626
Closed Access | Times Cited: 55
An adaptive particle swarm optimization-based hybrid long short-term memory model for stock price time series forecasting
Gourav Kumar, Uday Pratap Singh, Sanjeev Jain
Soft Computing (2022) Vol. 26, Iss. 22, pp. 12115-12135
Open Access | Times Cited: 41
LSTM-ReGAT: A network-centric approach for cryptocurrency price trend prediction
Chao Zhong, Wei Du, Wei Xu, et al.
Decision Support Systems (2023) Vol. 169, pp. 113955-113955
Closed Access | Times Cited: 37
Quantitative stock portfolio optimization by multi-task learning risk and return
Yu Ma, Rui Mao, Qika Lin, et al.
Information Fusion (2023) Vol. 104, pp. 102165-102165
Closed Access | Times Cited: 22
Towards Cognitive Intelligence-enabled Product Design: The Evolution, State-of-the-art, and Future of AI-enabled Product Design
Zuoxu Wang, Xinxin Liang, Mingrui Li, et al.
Journal of Industrial Information Integration (2024), pp. 100759-100759
Closed Access | Times Cited: 12
A New Complex Fuzzy Inference System With Fuzzy Knowledge Graph and Extensions in Decision Making
Luong Thi Hong Lan, Trần Mạnh Tuấn, Trần Thị Ngân, et al.
IEEE Access (2020) Vol. 8, pp. 164899-164921
Open Access | Times Cited: 62
Stock values predictions using deep learning based hybrid models
Konark Yadav, Milind Yadav, Sandeep Saini
CAAI Transactions on Intelligence Technology (2021) Vol. 7, Iss. 1, pp. 107-116
Open Access | Times Cited: 51
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