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:

Data-driven models for predicting community changes in freshwater ecosystems: A review
Da‐Yeong Lee, Dae‐Seong Lee, YoonKyung Cha, et al.
Ecological Informatics (2023) Vol. 77, pp. 102163-102163
Closed Access | Times Cited: 18

Showing 18 citing articles:

A stacking ANN ensemble model of ML models for stream water quality prediction of Godavari River Basin, India
Nagalapalli Satish, Jagadeesh Anmala, K. Rajitha, et al.
Ecological Informatics (2024) Vol. 80, pp. 102500-102500
Open Access | Times Cited: 17

Revolutionizing the Future of Hydrological Science: Impact of Machine Learning and Deep Learning amidst Emerging Explainable AI and Transfer Learning
Rajib Maity, Aman Srivastava, Subharthi Sarkar, et al.
Applied Computing and Geosciences (2024) Vol. 24, pp. 100206-100206
Open Access | Times Cited: 5

Climate change effects on animal presence in the Massaciuccoli Lake basin
Gianpaolo Coro, Pasquale Bove, Ilaria Baneschi, et al.
Ecological Informatics (2024) Vol. 81, pp. 102644-102644
Open Access | Times Cited: 4

Marine Life Ecosystem Analysis Based on Climate Change Detection Using Deep Learning Algorithms
Rebecca Butterfield, A S Sandhya, Pokkuluri Kiran Sree, et al.
Remote Sensing in Earth Systems Sciences (2025)
Closed Access

Understanding the effect of long term and short term hydrological components on landscape ecosystem
Gaurav Talukdar, Rajib Kumar Bhattacharjya, Arup Kumar Sarma
Ecological Informatics (2023) Vol. 77, pp. 102267-102267
Closed Access | Times Cited: 9

Estimation of aquatic ecosystem health using deep neural network with nonlinear data mapping
Yong Sung Kwon, Hyeongsik Kang, JongCheol Pyo
Ecological Informatics (2024) Vol. 81, pp. 102588-102588
Open Access | Times Cited: 3

A data-driven approach for the assessment of the thermal stratification of reservoirs based on readily available data
María Castrillo, Fernando J. Aguilar, Daniel García-Díaz
Ecological Informatics (2024) Vol. 82, pp. 102672-102672
Open Access | Times Cited: 3

Simulation and control of the cyanobacterial bloom biomass in a typical plateau lake based on the logistic growth model: A case study of Xingyun Lake
Chenhui Wu, Cuiling Jiang, Maosen Ju, et al.
Ecological Informatics (2024) Vol. 82, pp. 102779-102779
Open Access | Times Cited: 3

Process-based forecasts of lake water temperature and dissolved oxygen outperform null models, with variability over time and depth
Whitney M. Woelmer, R. Quinn Thomas, Freya Olsson, et al.
Ecological Informatics (2024) Vol. 83, pp. 102825-102825
Open Access | Times Cited: 3

Optimizing Biodiversity Conservation in Sundaland through Advanced Geospatial Techniques and Remote Sensing Technologies
Alhassan Usman Gabi, Nazirah Mohamad Abdullah
BIO Web of Conferences (2024) Vol. 94, pp. 07002-07002
Open Access | Times Cited: 2

Contributions of source populations, habitat suitability and trait overlap to benthic invertebrate community assembly in restored urban streams
Svenja M. Gillmann, Nele Schuwirth, Armin W. Lorenz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access | Times Cited: 2

Developing a dynamic energy budget model to project potential effects of deep-sea mining plumes on the Atlantic deep-sea mussel, Bathymodiolus azoricus
Irene Martins, A. Guerra, Cândida Gomes Vale, et al.
Ecological Informatics (2024) Vol. 83, pp. 102803-102803
Open Access | Times Cited: 2

Food Security Based Marine Life Ecosystem for Polar Region Conditioning: Remote Sensing Analysis with Machine Learning Model
G. Srikanth, Divya Nimma, R. V. S. Lalitha, et al.
Remote Sensing in Earth Systems Sciences (2024)
Closed Access | Times Cited: 2

Perancangan dan Implementasi Prototipe Sensor Termal Geomarine CTD 1.0 berbasis Arduino untuk Observasi In-situ Lake Surface Water Temperature (LSWT)
Irena Hana Hariyanto, Danar Guruh Pratomo, Khomsin Khomsin, et al.
Geoid (2024) Vol. 19, Iss. 2, pp. 212-223
Open Access

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