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:

A novel insight on input variable and time lag selection in daily streamflow forecasting using deep learning models
Amina Khatun, M.N. Nisha, Siddharth G. Chatterjee, et al.
Environmental Modelling & Software (2024) Vol. 179, pp. 106126-106126
Closed Access | Times Cited: 9

Showing 9 citing articles:

Fine-tuning long short-term memory models for seamless transition in hydrological modelling: From pre-training to post-application
Xueying Chen, Yuhang Zhang, Aizhong Ye, et al.
Environmental Modelling & Software (2025), pp. 106350-106350
Open Access

A generalised hydrological model for streamflow prediction using wavelet Ensembling
Chinmaya Panda, Kanhu Charan Panda, Ram Mandir Singh, et al.
Journal of Hydrology (2025), pp. 132883-132883
Closed Access

A machine learning model integrating spatiotemporal attention and residual learning for predicting periodic air pollutant concentrations
Farun An, Dong Yang, Xiaoyue Sun, et al.
Environmental Modelling & Software (2025), pp. 106438-106438
Closed Access

Real-time Rainfall Estimation Using Deep Learning: Influence of Background and Rainfall Intensity
Xiaodong Qin, Qian Zhu, Junran Shen, et al.
Environmental Modelling & Software (2025), pp. 106496-106496
Closed Access

Variable sensitivity analysis in groundwater level projections under climate change adopting a hybrid machine learning algorithm
Ali Sharghi, Mehdi Komasi, Masoud Ahmadi
Environmental Modelling & Software (2024) Vol. 183, pp. 106264-106264
Closed Access | Times Cited: 2

Nitrogen nutritional diagnosis of summer maize (Zea mays L.) based on a hyperspectral data collaborative approach-evaluation of the estimation potential of three-dimensional spectral indices
Zijun Tang, Yaohui Cai, Youzhen Xiang, et al.
Computers and Electronics in Agriculture (2024) Vol. 229, pp. 109713-109713
Closed Access | Times Cited: 1

Developing Demand Forecasting Models for E-Commerce: Analyzing the Impact of Time Lags on Model Performance
Alim Toprak Fırat, Onur Aygün, Mustafa Göğebakan, et al.
Scientific journal of Mehmet Akif Ersoy University. (2024)
Closed Access

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