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:

A similarity measurement for time series and its application to the stock market
Feng Zhao, Yating Gao, Xinning Li, et al.
Expert Systems with Applications (2021) Vol. 182, pp. 115217-115217
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

A stock series prediction model based on variational mode decomposition and dual-channel attention network
Yepeng Liu, Siyuan Huang, Xiaoyi Tian, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121708-121708
Closed Access | Times Cited: 21

China futures price forecasting based on online search and information transfer
Jingyi Liang, Guozhu Jia
Data Science and Management (2022) Vol. 5, Iss. 4, pp. 187-198
Closed Access | Times Cited: 25

From Isles of Königsberg to Islets of Langerhans: Examining the Function of the Endocrine Pancreas Through Network Science
Andraž Stožer, Marko Šterk, Eva Paradiž Leitgeb, et al.
Frontiers in Endocrinology (2022) Vol. 13
Open Access | Times Cited: 23

Surrogate modeling for long-term and high-resolution prediction of building thermal load with a metric-optimized KNN algorithm
Yumin Liang, Yiqun Pan, Xiaolei Yuan, et al.
Energy and Built Environment (2022) Vol. 4, Iss. 6, pp. 709-724
Open Access | Times Cited: 21

A two-stage adaptive affinity propagation clustering using the wtDTW distance: Application in portfolio optimization
Junting Zhang, Jieyu Zhang, Haifei Liu, et al.
Expert Systems with Applications (2025), pp. 126884-126884
Closed Access

Personalized similarity regression models based on maximum correntropy criterion for stock series prediction
Feng Zhao, Mengyang Liu, Yating Gao, et al.
Knowledge and Information Systems (2025)
Closed Access

A decoupled network with variable graph convolution and temporal external attention for long-term multivariate time series forecasting
Yepeng Liu, Zhigen Huang, Fan Zhang, et al.
Expert Systems with Applications (2025) Vol. 271, pp. 126584-126584
Closed Access

Dynamic patterns of AI technology diffusion: focusing on time series clustering and patent analysis
Soyea Lee, Junseok Hwang, Eunsang Cho
Scientometrics (2025)
Closed Access

Time Series and Similarity Measures
Zoltan Geler, Vladimir Kurbalija, Miloš Radovanović, et al.
Intelligent systems reference library (2025), pp. 9-93
Closed Access

A deep learning model for predicting the production of coalbed methane considering time, space, and geological features
Zhibo Zhao, Yuhua Chen, Yi Zhang, et al.
Computers & Geosciences (2023) Vol. 173, pp. 105312-105312
Closed Access | Times Cited: 8

Assessment of 24-h moving average PM2.5 concentrations in Bangkok, Thailand against WHO guidelines
Sirapong Sooktawee, Suwimon Kanchanasuta, Natthaya Bunplod
Sustainable Environment Research (2023) Vol. 33, Iss. 1
Open Access | Times Cited: 4

Index tracking using shapley additive explanations and one-dimensional pointwise convolutional autoencoders
Yanyi Zhang, Johannes De Smedt
International Review of Financial Analysis (2024) Vol. 95, pp. 103487-103487
Closed Access | Times Cited: 1

A framework for timely and accessible long-term forecasting of shale gas production based on time series pattern matching
Yilun Dong, Youzhi Hao, Detang Lu
International Journal of Forecasting (2024)
Closed Access | Times Cited: 1

A Proposal of a Method to Determine the Appropriate Learning Period in Stock Price Prediction Using Machine Learning
Ryuya Shirata, Taku Harada
IEEJ Transactions on Electrical and Electronic Engineering (2024) Vol. 19, Iss. 5, pp. 726-732
Closed Access | Times Cited: 1

Information Granulation With Rectangular Information Granules and Its Application in Time-Series Similarity Measurement
Sheng Du, Min Wu, Luefeng Chen, et al.
IEEE Transactions on Fuzzy Systems (2021) Vol. 30, Iss. 10, pp. 4069-4081
Closed Access | Times Cited: 9

Experimental analysis of similarity measurements for multivariate time series and its application to the stock market
Zhong-Liang Xiang, Rui Wang, Xiang-Ru Yu, et al.
Applied Intelligence (2023) Vol. 53, Iss. 21, pp. 25450-25466
Closed Access | Times Cited: 3

Similarity-Based Adaptive Window for Improving Classification of Epileptic Seizures with Imbalance EEG Data Stream
Hayder K. Fatlawi, Attila Kiss
Entropy (2022) Vol. 24, Iss. 11, pp. 1641-1641
Open Access | Times Cited: 5

TS2V: A Transformer-Based Siamese Network for Representation Learning of Univariate Time-Series Data
Chengyang Ye, Qiang Ma
2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD) (2022), pp. 1245-1250
Closed Access | Times Cited: 4

Transfer Learning Framework for Forecasting Fresh Produce Yield and Price
Islam Nasr, Lobna Nassar, Fakhri Karray
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-8
Closed Access | Times Cited: 4

Financial Market Correlation Analysis and Stock Selection Application Based on TCN-Deep Clustering
Yuefeng Cen, M. X. Luo, Gang Cen, et al.
Future Internet (2022) Vol. 14, Iss. 11, pp. 331-331
Open Access | Times Cited: 3

The lead lag relationship between convertible bonds and stocks: a perspective based on trading mechanism
Liwei Jin, Xianghui Yuan, Keji Lu, et al.
Applied Economics (2024), pp. 1-13
Closed Access

Parallelizing Dynamic Time Warping Algorithm for Hotel Occupancy Time Series Similarity Measurement
Ana Marija Atanasovska, Vladimir Zdraveski, Dejan Spasov
(2024), pp. 1974-1978
Closed Access

Enhancing Stock Similarity Analysis with Phase-Embedded Multivariate Similarity Measure
Cheng Zhao, Xing Hu, Xiaozhong Bao
Lecture notes in computer science (2024), pp. 90-101
Closed Access

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