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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:

Decomposing predictability to identify dominant causal drivers in complex ecosystems
Kenta Suzuki, Shin‐ichiro S. Matsuzaki, Hiroshi Masuya
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 42
Open Access | Times Cited: 16

Showing 16 citing articles:

Intentional release of native species undermines ecological stability
Akira Terui, Hirokazu Urabe, Masayuki Senzaki, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 7
Open Access | Times Cited: 31
Facilitative interaction networks in experimental microbial community dynamics
Hiroaki Fujita, Masayuki Ushio, Kenta Suzuki, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 10
Diel temperature patterns unveiled: High-frequency monitoring and deep learning in Lake Kasumigaura
Senlin Zhu, Ryuichiro Shinohara, Shin‐ichiro S. Matsuzaki, et al.
Ecological Indicators (2024) Vol. 169, pp. 112958-112958
Open Access | Times Cited: 2
An evaluation of homeostatic plasticity for ecosystems using an analytical data science approach
Hirokuni Miyamoto, Jun Kikuchi
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 869-878
Open Access | Times Cited: 5
On formal limitations of causal ecological networks
Petros Damos
Philosophical Transactions of the Royal Society B Biological Sciences (2024) Vol. 379, Iss. 1909
Closed Access | Times Cited: 1
An ecological network approach for detecting and validating influential organisms for rice growth
Masayuki Ushio, Hiroki Saito, Motoaki Tojo, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 2
Causality from phases of high-dimensional nonlinear systems
Ioannis Vlachos, Dimitris Kugiumtzis, Milan Paluš
Information Sciences (2024), pp. 121761-121761
Open Access
Causal analysis reveals that ecosystem structure and function are temperature-dominated but relatively independent
Wenxing Luo, Jun‐Qi Yang, Yanfen Wang, et al.
Ecological Indicators (2024) Vol. 165, pp. 112188-112188
Open Access
Investigation of the interaction between urban rail ridership and network topology characteristics using temporal lagged and reciprocal effects: A case study of Chengdu, China
Mengwei Xin, Amer Shalaby
Transportation Research Part A Policy and Practice (2023) Vol. 179, pp. 103922-103922
Open Access | Times Cited: 1
Facilitative interaction networks in experimental microbial community dynamics
Hiroaki Fujita, Masayuki Ushio, Kenta Suzuki, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Detecting and validating influential organisms for rice growth: An ecological network approach
Masayuki Ushio, Hiroki Saito, Motoaki Tojo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Detecting and validating influential organisms for rice growth: An ecological network approach
Masayuki Ushio, Hiroki Saito, Motoaki Tojo, et al.
(2023)
Open Access
Directed networks and resting-state effective brain connectivity with state-space reconstruction using reservoir computing causality
Joan Falcó-Roget, Adrian Onicas, Felix Akwasi-Sarpong, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
eLife assessment: Detecting and validating influential organisms for rice growth: An ecological network approach
Youngsung Joo
(2023)
Open Access
Detecting and validating influential organisms for rice growth: An ecological network approach
Masayuki Ushio, Hiroki Saito, Motoaki Tojo, et al.
(2023)
Open Access
An ecological network approach for detecting and validating influential organisms for rice growth
Masayuki Ushio, Hiroki Saito, Motoaki Tojo, et al.
eLife (2023) Vol. 12
Open Access
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