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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:

Parameter estimation for connectome generative models: Accuracy, reliability, and a fast parameter fitting method
Yuanzhe Liu, Caio Seguin, Sina Mansour L., et al.
NeuroImage (2023) Vol. 270, pp. 119962-119962
Open Access | Times Cited: 12

Showing 12 citing articles:

Virtual Brain Inference (VBI): A flexible and integrative toolkit for efficient probabilistic inference on virtual brain models
Abolfazl Ziaeemehr, Marmaduke Woodman, Lia Domide, et al.
(2025)
Open Access
Virtual Brain Inference (VBI): A flexible and integrative toolkit for efficient probabilistic inference on virtual brain models
Abolfazl Ziaeemehr, Marmaduke Woodman, Lia Domide, et al.
(2025)
Open Access
A weighted generative model of the human connectome
Danyal Akarca, Simona Schiavi, Jascha Achterberg, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 9
A shifting role of thalamocortical connectivity in the emergence of large-scale functional brain organization during early lifespan
Shinwon Park, Koen V. Haak, Stuart Oldham, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Simulation-based inference for efficient identification of generative models in computational connectomics
Jan Boelts, Philipp Harth, Richard Gao, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 9, pp. e1011406-e1011406
Open Access | Times Cited: 6
The adaptive stochasticity hypothesis: Modeling equifinality, multifinality, and adaptation to adversity
Sofia Carozza, Danyal Akarca, Duncan E. Astle
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 42
Open Access | Times Cited: 6
Early adversity changes the economic conditions of mouse structural brain network organization
Sofia Carozza, Joni Holmes, Petra E. Vértes, et al.
Developmental Psychobiology (2023) Vol. 65, Iss. 6
Open Access | Times Cited: 5
ELM parameter estimation in view of maximum likelihood
Lanzhen Yang, Eric C.C. Tsang, Xizhao Wang, et al.
Neurocomputing (2023) Vol. 557, pp. 126704-126704
Closed Access | Times Cited: 4
A generative model of the connectome with dynamic axon growth
Yuanzhe Liu, Caio Seguin, Richard F. Betzel, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
A generative model of the connectome with dynamic axon growth
Yuanzhe Liu, Caio Seguin, Richard F. Betzel, et al.
Network Neuroscience (2024) Vol. 8, Iss. 4, pp. 1192-1211
Open Access | Times Cited: 1
Geometric Scaling Law in Real Neuronal Networks
Xin-Ya Zhang, Jack Murdoch Moore, Xiaolei Ru, et al.
Physical Review Letters (2024) Vol. 133, Iss. 13
Closed Access | Times Cited: 1
Simulation-based inference for efficient identification of generative models in computational connectomics
Jan Boelts, Philipp Harth, Richard Gao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
The adaptive stochasticity hypothesis: modelling equifinality, multifinality and adaptation to adversity
Sofia Carozza, Danyal Akarca, Duncan E. Astle
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Elm Parameter Estimation in View of Maximum Likelihood
Lanzhen Yang, Eric C.C. Tsang, Xizhao Wang, et al.
(2023)
Closed Access
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