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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:

Missing value imputation in multivariate time series with end-to-end generative adversarial networks
Ying Zhang, Baohang Zhou, Xiangrui Cai, et al.
Information Sciences (2020) Vol. 551, pp. 67-82
Closed Access | Times Cited: 98

Showing 1-25 of 98 citing articles:

Human-Centered Interaction in Virtual Worlds: A New Era of Generative Artificial Intelligence and Metaverse
Yuying Wang, Le Wang, Keng Siau
International Journal of Human-Computer Interaction (2024), pp. 1-43
Closed Access | Times Cited: 28
Remote Sensing Data Fusion With Generative Adversarial Networks: State-of-the-art methods and future research directions
Peng Liu, Jun Li, Lizhe Wang, et al.
IEEE Geoscience and Remote Sensing Magazine (2022) Vol. 10, Iss. 2, pp. 295-328
Closed Access | Times Cited: 51
MBGAN: An improved generative adversarial network with multi-head self-attention and bidirectional RNN for time series imputation
Qingjian Ni, Xuehan Cao
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105232-105232
Closed Access | Times Cited: 42
Deep imputation of missing values in time series health data: A review with benchmarking
Maksims Kazijevs, Manar D. Samad
Journal of Biomedical Informatics (2023) Vol. 144, pp. 104440-104440
Open Access | Times Cited: 27
Blackout Missing Data Recovery in Industrial Time Series Based on Masked-Former Hierarchical Imputation Framework
Diju Liu, Yalin Wang, Chenliang Liu, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 2, pp. 1138-1150
Closed Access | Times Cited: 25
Addressing Missing Data in Slope Displacement Monitoring: Comparative Analysis of Advanced Imputation Methods
Seung–Joo Lee, Yong-Jin Kim, Bongjun Ji, et al.
Buildings (2025) Vol. 15, Iss. 2, pp. 236-236
Open Access | Times Cited: 1
Enhancing time series forecasting: A hierarchical transformer with probabilistic decomposition representation
Junlong Tong, Liping Xie, Wankou Yang, et al.
Information Sciences (2023) Vol. 647, pp. 119410-119410
Closed Access | Times Cited: 19
A systematic data characteristic understanding framework towards physical-sensor big data challenges
Zhipeng Ma, Bo Nørregaard Jôrgensen, Zheng Ma
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 7
Long-term missing value imputation for time series data using deep neural networks
Jangho Park, Juliane Müller, Bhavna Arora, et al.
Neural Computing and Applications (2022)
Open Access | Times Cited: 27
Generative adversarial networks for biomedical time series forecasting and imputation
Sven Festag, Joachim Denzler, Cord Spreckelsen
Journal of Biomedical Informatics (2022) Vol. 129, pp. 104058-104058
Open Access | Times Cited: 25
DeepMicroGen: a generative adversarial network-based method for longitudinal microbiome data imputation
Joung Min Choi, Ming Ji, Layne T. Watson, et al.
Bioinformatics (2023) Vol. 39, Iss. 5
Open Access | Times Cited: 15
Missing data imputation and classification of small sample missing time series data based on gradient penalized adversarial multi-task learning
Jingjing Liu, Jie-Peng Yao, Jin-Hang Liu, et al.
Applied Intelligence (2024) Vol. 54, Iss. 3, pp. 2528-2550
Closed Access | Times Cited: 5
Missing data reconstruction in attitude for quadrotor unmanned aerial vehicle based on deep regression model with different sensor failures
Jie Li, Ziyang Wang, Zhelong Wang, et al.
Information Fusion (2023) Vol. 93, pp. 243-257
Closed Access | Times Cited: 12
BiT-MAC: Mortality prediction by bidirectional time and multi-feature attention coupled network on multivariate irregular time series
Qinfen Wang, Geng Chen, Xuting Jin, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106586-106586
Closed Access | Times Cited: 12
Research on vehicle battery data cleaning method based on OOA-VMD-ATGRU-GAN
Delin Ding, Ning Sun, Li Ai, et al.
Physica Scripta (2024) Vol. 99, Iss. 4, pp. 045013-045013
Open Access | Times Cited: 4
Efficient deterministic renewable energy forecasting guided by multiple-location weather data
Charalampos Symeonidis, Nikos Nikolaidis
Neural Computing and Applications (2025)
Closed Access
Tensor time series imputation through tensor factor modelling
Zetai Cen, Clifford Lam
Journal of Econometrics (2025) Vol. 249, pp. 105974-105974
Open Access
TMF-GNN: Temporal matrix factorization-based graph neural network for multivariate time series forecasting with missing values
Suhyeon Kim, Taek-Ho Lee, Junghye Lee
Expert Systems with Applications (2025), pp. 127001-127001
Closed Access
Uncertainty-Aware Self-Attention Model for Time Series Prediction with Missing Values
Jiabao Li, Chengjun Wang, Wenhang Su, et al.
Fractal and Fractional (2025) Vol. 9, Iss. 3, pp. 181-181
Open Access
Using Autoencoders and Automatic Differentiation to Reconstruct Missing Variables in a Set of Time Series
Jan-Philipp Roche, Oliver Niggemann, Jens Friebe
SN Computer Science (2025) Vol. 6, Iss. 4
Open Access
Imputing missing indoor air quality data with inverse mapping generative adversarial network
Zejun Wu, Chao Ma, Xiaochuan Shi, et al.
Building and Environment (2022) Vol. 215, pp. 108896-108896
Closed Access | Times Cited: 18
Impact of China’s environmental decentralization on carbon emissions from energy consumption: an empirical study based on the dynamic spatial econometric model
Xianzhao Liu, Yang Xu
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 48, pp. 72140-72158
Open Access | Times Cited: 18
Discrete Missing Data Imputation Using Multilayer Perceptron and Momentum Gradient Descent
Hu Pan, Zhiwei Ye, Qiyi He, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5645-5645
Open Access | Times Cited: 16
Medical multivariate time series imputation and forecasting based on a recurrent conditional Wasserstein GAN and attention
Sven Festag, Cord Spreckelsen
Journal of Biomedical Informatics (2023) Vol. 139, pp. 104320-104320
Open Access | Times Cited: 10
Parallel Generative Adversarial Imputation Network for Multivariate Missing Time-Series Reconstruction and Its Application to Aeroengines
Song Ma, Zeng-Song Xu, Tao Sun
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-16
Closed Access | Times Cited: 10
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