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:
Surrogate-assisted parallel tempering for Bayesian neural learning
Rohitash Chandra, Konark Jain, Arpit Kapoor, et al.
Engineering Applications of Artificial Intelligence (2020) Vol. 94, pp. 103700-103700
Open Access | Times Cited: 9
Rohitash Chandra, Konark Jain, Arpit Kapoor, et al.
Engineering Applications of Artificial Intelligence (2020) Vol. 94, pp. 103700-103700
Open Access | Times Cited: 9
Showing 9 citing articles:
Revisiting Bayesian Autoencoders With MCMC
Rohitash Chandra, Mahir Jain, Manavendra Maharana, et al.
IEEE Access (2022) Vol. 10, pp. 40482-40495
Open Access | Times Cited: 20
Rohitash Chandra, Mahir Jain, Manavendra Maharana, et al.
IEEE Access (2022) Vol. 10, pp. 40482-40495
Open Access | Times Cited: 20
An efficient boundary prediction method based on multi-fidelity Gaussian classification process for class-imbalance
Jinliang Luo, Lingzhi Liu, Youwei He, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 149, pp. 110549-110549
Closed Access
Jinliang Luo, Lingzhi Liu, Youwei He, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 149, pp. 110549-110549
Closed Access
Backpropagation through time training of an unrolled Hodgkin Huxley model for automatic conductance estimation
Yuxiang Li
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Yuxiang Li
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Bayesian Graph Convolutional Neural Networks via Tempered MCMC
Rohitash Chandra, Ayush Bhagat, Manavendra Maharana, et al.
IEEE Access (2021) Vol. 9, pp. 130353-130365
Open Access | Times Cited: 21
Rohitash Chandra, Ayush Bhagat, Manavendra Maharana, et al.
IEEE Access (2021) Vol. 9, pp. 130353-130365
Open Access | Times Cited: 21
Gradient boosting Bayesian neural networks via Langevin MCMC
George Bai, Rohitash Chandra
Neurocomputing (2023) Vol. 558, pp. 126726-126726
Open Access | Times Cited: 7
George Bai, Rohitash Chandra
Neurocomputing (2023) Vol. 558, pp. 126726-126726
Open Access | Times Cited: 7
Distributed Bayesian optimisation framework for deep neuroevolution
Rohitash Chandra, Animesh Tiwari
Neurocomputing (2021) Vol. 470, pp. 51-65
Closed Access | Times Cited: 15
Rohitash Chandra, Animesh Tiwari
Neurocomputing (2021) Vol. 470, pp. 51-65
Closed Access | Times Cited: 15
Surrogate-assisted Bayesian inversion for landscape and basin evolution models
Rohitash Chandra, Danial Azam, Arpit Kapoor, et al.
Geoscientific model development (2020) Vol. 13, Iss. 7, pp. 2959-2979
Open Access | Times Cited: 14
Rohitash Chandra, Danial Azam, Arpit Kapoor, et al.
Geoscientific model development (2020) Vol. 13, Iss. 7, pp. 2959-2979
Open Access | Times Cited: 14
Memory capacity of recurrent neural networks with matrix representation
Animesh Renanse, Alok Sharma, Rohitash Chandra
Neurocomputing (2023) Vol. 560, pp. 126824-126824
Open Access | Times Cited: 1
Animesh Renanse, Alok Sharma, Rohitash Chandra
Neurocomputing (2023) Vol. 560, pp. 126824-126824
Open Access | Times Cited: 1
Memory Capacity of Neural Turing Machines with Matrix Representation.
Animesh Renanse, Rohitash Chandra, Alok Sharma
arXiv (Cornell University) (2021)
Closed Access
Animesh Renanse, Rohitash Chandra, Alok Sharma
arXiv (Cornell University) (2021)
Closed Access
