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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:

semBnet: A semantic Bayesian network for multivariate prediction of meteorological time series data
Monidipa Das, Soumya K. Ghosh
Pattern Recognition Letters (2017) Vol. 93, pp. 192-201
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Gated Spiking Neural P Systems for Time Series Forecasting
Qian Liu, Lifan Long, Hong Peng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 34, Iss. 9, pp. 6227-6236
Closed Access | Times Cited: 61
A Time Series Forecasting Approach Based on Nonlinear Spiking Neural Systems
Lifan Long, Qian Liu, Hong Peng, et al.
International Journal of Neural Systems (2022) Vol. 32, Iss. 08
Closed Access | Times Cited: 48
A Prediction Model Based on Gated Nonlinear Spiking Neural Systems
Yujie Zhang, Qian Yang, Zhicai Liu, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 06
Closed Access | Times Cited: 32
Nonlinear Spiking Neural Systems With Autapses for Predicting Chaotic Time Series
Qian Liu, Hong Peng, Lifan Long, et al.
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 3, pp. 1841-1853
Closed Access | Times Cited: 31
Knowledge-Augmented Deep Learning and Its Applications: A Survey
Zijun Cui, Tian Gao, Kartik Talamadupula, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 36, Iss. 2, pp. 2133-2153
Open Access | Times Cited: 15
Data-driven approaches for meteorological time series prediction: A comparative study of the state-of-the-art computational intelligence techniques
Monidipa Das, Soumya K. Ghosh
Pattern Recognition Letters (2017) Vol. 105, pp. 155-164
Closed Access | Times Cited: 43
FB-STEP: A fuzzy Bayesian network based data-driven framework for spatio-temporal prediction of climatological time series data
Monidipa Das, Soumya K. Ghosh
Expert Systems with Applications (2018) Vol. 117, pp. 211-227
Closed Access | Times Cited: 39
Improved sales time series predictions using deep neural networks with spatiotemporal dynamic pattern acquisition mechanism
Daifeng Li, Kaixin Lin, Xuting Li, et al.
Information Processing & Management (2022) Vol. 59, Iss. 4, pp. 102987-102987
Closed Access | Times Cited: 16
Multisite Weather Generators Using Bayesian Networks: An Illustrative Case Study for Precipitation Occurrence
Mikel N. Legasa, José Manuel Gutiérrez
Water Resources Research (2020) Vol. 56, Iss. 7
Open Access | Times Cited: 26
ATMConvGRU for Weather Forecasting
Tingzhao Yu, Qiuming Kuang, Ruyi Yang
IEEE Geoscience and Remote Sensing Letters (2021) Vol. 19, pp. 1-5
Closed Access | Times Cited: 20
A deep multivariate time series multistep forecasting network
Chenrui Yin, Qun Dai
Applied Intelligence (2021) Vol. 52, Iss. 8, pp. 8956-8974
Closed Access | Times Cited: 16
Data-Driven Approaches for Spatio-Temporal Analysis: A Survey of the State-of-the-Arts
Monidipa Das, Soumya K. Ghosh
Journal of Computer Science and Technology (2020) Vol. 35, Iss. 3, pp. 665-696
Closed Access | Times Cited: 14
TEST-Net: transformer-enhanced Spatio-temporal network for infectious disease prediction
Kai Chen, Yao Liu, Tianjiao Ji, et al.
Multimedia Systems (2024) Vol. 30, Iss. 6
Closed Access | Times Cited: 1
A cellular traffic prediction method based on diffusion convolutional GRU and multi-head attention mechanism
Junbi Xiao, Y.B. Cong, Wenjing Zhang, et al.
Cluster Computing (2024) Vol. 28, Iss. 2
Closed Access | Times Cited: 1
Assessment of climate change in Upper Jhelum Sub-catchment, India, using nonparametric methods and random forest model
Rayees Ali, Haroon Sajjad, Tamal Kanti Saha, et al.
Acta Geophysica (2024)
Closed Access | Times Cited: 1
Spatio-Temporal Prediction of Meteorological Time Series Data: An Approach Based on Spatial Bayesian Network (SpaBN)
Monidipa Das, Soumya K. Ghosh
Lecture notes in computer science (2017), pp. 615-622
Closed Access | Times Cited: 12
Reducing Parameter Value Uncertainty in Discrete Bayesian Network Learning: A Semantic Fuzzy Bayesian Approach
Monidipa Das, Soumya K. Ghosh
IEEE Transactions on Emerging Topics in Computational Intelligence (2019) Vol. 5, Iss. 3, pp. 361-372
Closed Access | Times Cited: 11
BESTED
Monidipa Das, Soumya K. Ghosh
(2017), pp. 1-4
Closed Access | Times Cited: 10
Predicting high-dimensional time series data with spatial, temporal and global information
Jining Wang, Chuan Chen, Zibin Zheng, et al.
Information Sciences (2022) Vol. 607, pp. 477-492
Closed Access | Times Cited: 5
Dimensionality reduction of correlated meteorological variables by Bayesian network-based graphical modeling
Kironmala Chanda, Prabal Das
Elsevier eBooks (2023), pp. 69-76
Closed Access | Times Cited: 2
Standard Bayesian Network Models for Spatial Time Series Prediction
Monidipa Das, Soumya K. Ghosh
Studies in computational intelligence (2019), pp. 11-22
Closed Access | Times Cited: 5
A Hybrid Methodology for Short Term Temperature Forecasting
Wissam Abdallah, Nassib Abdallah, Jean-Marie Marion, et al.
International Journal of Intelligence Science (2020) Vol. 10, Iss. 03, pp. 65-81
Open Access | Times Cited: 5
Space-time Prediction of High Resolution Raster Data
Monidipa Das, Soumya K. Ghosh
(2019), pp. 129-135
Closed Access | Times Cited: 4
Frequency-Enhanced Transformer with Symmetry-Based Lightweight Multi-Representation for Multivariate Time Series Forecasting
Chenyue Wang, Zhouyuan Zhang, Xin Wang, et al.
Symmetry (2024) Vol. 16, Iss. 7, pp. 797-797
Open Access
Spatial-SMOTE: An Approach for Handling Class Imbalance in Spatial Time Series Data
Rahul Gavas, Soumya K. Ghosh, Arpan Pal
Lecture notes in computer science (2024), pp. 488-497
Closed Access
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