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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:

Optimized ensemble deep learning framework for scalable forecasting of dynamics containing extreme events
Arnob Ray, Tanujit Chakraborty, Dibakar Ghosh
Chaos An Interdisciplinary Journal of Nonlinear Science (2021) Vol. 31, Iss. 11
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Extreme events in dynamical systems and random walkers: A review
Sayantan Nag Chowdhury, Arnob Ray, Syamal K. Dana, et al.
Physics Reports (2022) Vol. 966, pp. 1-52
Open Access | Times Cited: 68
Deep learning for Covid-19 forecasting: State-of-the-art review.
Firuz Kamalov, Khairan Rajab, Aswani Kumar Cherukuri, et al.
Neurocomputing (2022) Vol. 511, pp. 142-154
Open Access | Times Cited: 36
Early warning signals for critical transitions in complex systems
Sandip V. George, Sneha Kachhara, G. Ambika
Physica Scripta (2023) Vol. 98, Iss. 7, pp. 072002-072002
Open Access | Times Cited: 14
Extreme events in the Higgs oscillator: A dynamical study and forecasting approach
Wasif Ahamed M, R. Kavitha, V. Chithiika Ruby, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2025) Vol. 35, Iss. 2
Open Access
Extreme events in a complex network: Interplay between degree distribution and repulsive interaction
Arnob Ray, Timo Bröhl, Arindam Mishra, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2022) Vol. 32, Iss. 12
Open Access | Times Cited: 19
Data-driven multi-valley dark solitons of multi-component Manakov Model using Physics-Informed Neural Networks
Meiyazhagan Jaganathan, B. Tamil Arasan, Murugesan Vadivel, et al.
Chaos Solitons & Fractals (2023) Vol. 172, pp. 113509-113509
Open Access | Times Cited: 12
Annotation-free glioma grading from pathological images using ensemble deep learning
Feng Su, Ye Cheng, Liang Chang, et al.
Heliyon (2023) Vol. 9, Iss. 3, pp. e14654-e14654
Open Access | Times Cited: 11
Data driven soliton solution of the nonlinear Schrödinger equation with certain PT-symmetric potentials via deep learning
J. Meiyazhagan, K. Manikandan, J. B. Sudharsan, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2022) Vol. 32, Iss. 5
Open Access | Times Cited: 14
Extreme rotational events in a forced-damped nonlinear pendulum
T. Pal, Arnob Ray, Sayantan Nag Chowdhury, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2023) Vol. 33, Iss. 6
Open Access | Times Cited: 8
Two-Stage Ensemble Deep Learning Model for Precise Leaf Abnormality Detection in Centella asiatica
Budsaba Buakum, Monika Kosacka-Olejnik, Rapeepan Pitakaso, et al.
AgriEngineering (2024) Vol. 6, Iss. 1, pp. 620-644
Open Access | Times Cited: 2
Learning extreme vegetation response to climate drivers with recurrent neural networks
Francesco Martinuzzi, Miguel D. Mahecha, Gustau Camps‐Valls, et al.
Nonlinear processes in geophysics (2024) Vol. 31, Iss. 4, pp. 535-557
Open Access | Times Cited: 2
Prediction of occurrence of extreme events using machine learning
J. Meiyazhagan, S. Sudharsan, A. Venkatesan, et al.
The European Physical Journal Plus (2021) Vol. 137, Iss. 1
Closed Access | Times Cited: 17
Role of assortativity in predicting burst synchronization using echo state network
Mousumi Roy, Abhishek Senapati, Swarup Poria, et al.
Physical review. E (2022) Vol. 105, Iss. 6
Open Access | Times Cited: 9
Super-extreme events in a forced Bonhoeffer–van der Pol oscillator
T. Bhagyaraj, S. Sabarathinam, A. Ishaq Ahamed, et al.
Pramana (2023) Vol. 97, Iss. 4
Closed Access | Times Cited: 5
Time-series-analysis-based detection of critical transitions in real-world non-autonomous systems
Klaus Lehnertz
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 7
Open Access | Times Cited: 1
Knowledge-based Deep Learning for Modeling Chaotic Systems
Zakaria Elabid, Tanujit Chakraborty, Abdenour Hadid
(2022), pp. 1203-1209
Open Access | Times Cited: 7
Time series forecasting for tuberculosis incidence employing neural network models
Álvaro D. Orjuela-Cañón, Andrés L. Jutinico, Mario Enrique Duarte-González, et al.
Heliyon (2022) Vol. 8, Iss. 7, pp. e09897-e09897
Open Access | Times Cited: 6
Predicting the data structure prior to extreme events from passive observables using echo state network
Abhirup Banerjee, Arindam Mishra, Syamal K. Dana, et al.
Frontiers in Applied Mathematics and Statistics (2022) Vol. 8
Open Access | Times Cited: 6
Comment on egusphere-2023-2368
Francesco Martinuzzi, Miguel D. Mahecha, Gustau Camps‐Valls, et al.
(2024)
Open Access
Reply on RC1
Francesco Martinuzzi
(2024)
Open Access
Reply on RC2
Francesco Martinuzzi
(2024)
Open Access
Probabilistic AutoRegressive Neural Networks for Accurate Long-Range Forecasting
Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, et al.
Communications in computer and information science (2023), pp. 457-477
Closed Access | Times Cited: 1
A Chaotic Circuit With Hidden Attractors and Extreme Event
Rending Lu, R. Janarthanan, Hayder Natiq, et al.
IEEE Access (2022) Vol. 10, pp. 105195-105200
Open Access | Times Cited: 2
Extreme transient dynamics
Dawid Dudkowski, Patrycja Jaros, Tomasz Kapitaniak
Chaos An Interdisciplinary Journal of Nonlinear Science (2022) Vol. 32, Iss. 12
Closed Access | Times Cited: 2
Knowledge-based Deep Learning for Modeling Chaotic Systems
Zakaria Elabid, Tanujit Chakraborty, Abdenour Hadid
arXiv (Cornell University) (2022)
Open Access | Times Cited: 1
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