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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:

Improving microalgae growth modeling of outdoor cultivation with light history data using machine learning models: A comparative study
Yen‐Cheng Yeh, Tehreem Syed, Gordon Brinitzer, et al.
Bioresource Technology (2023) Vol. 390, pp. 129882-129882
Closed Access | Times Cited: 16

Showing 16 citing articles:

A review on machine learning approaches for microalgae cultivation systems
Tehreem Syed, Felix Krujatz, Yob Ihadjadene, et al.
Computers in Biology and Medicine (2024) Vol. 172, pp. 108248-108248
Open Access | Times Cited: 15
Artificial intelligence-driven prediction models for the cultivation of Chlorella vulgaris FSP-E in food waste culture medium: A comparative analysis and validation of models
Adityas Agung Ramandani, Jun Wei Roy Chong, Sirasit Srinuanpan, et al.
Algal Research (2025), pp. 103935-103935
Closed Access | Times Cited: 1
Integrated energy informatics technology on microalgae-based wastewater treatment to bioenergy production: A review
Kai Yu, Hwai Chyuan Ong, Halimah Badioze Zaman
Journal of Environmental Management (2024) Vol. 368, pp. 122085-122085
Closed Access | Times Cited: 8
Machine learning in microalgae biotechnology for sustainable biofuel production: Advancements, applications, and prospects
Chao‐Tung Yang, Endah Kristiani, Yoong Kit Leong, et al.
Bioresource Technology (2024), pp. 131549-131549
Closed Access | Times Cited: 5
Machine learning-assisted synthetic biology of cyanobacteria and microalgae
Weijia Jin, Fangzhong Wang, Lei Chen, et al.
Algal Research (2025), pp. 103911-103911
Closed Access
Photon statistics and unicellular algae cultivation characteristics under continuous illumination
Yair Zarmi
Biointerphases (2025) Vol. 20, Iss. 1
Open Access
The depth-dependent study of microalgae growth under continuous culture conditions at different depths was considered
Fuwang Wu, Shuo Yuan, Wenshang Ma, et al.
Biomass and Bioenergy (2025) Vol. 195, pp. 107684-107684
Closed Access
Feature Enhanced Multistream RNN for Growth Phase Prediction of Euglena sp. Microalgae in an IoT-Based Outdoor Cultivation Environment
Harnan Malik Abdullah, Jazi Eko Istiyanto, Aufaclav Zatu Kusuma Frisky, et al.
Smart Agricultural Technology (2025), pp. 100939-100939
Open Access
AI-Driven Algae Biorefineries: A New Era for Sustainable Bioeconomy
Mohammed Abdullah, Hafiza Aroosa Malik, Afida Mohamad Ali, et al.
Current Pollution Reports (2025) Vol. 11, Iss. 1
Closed Access
Machine learning-assisted optimization of food-grade spirulina cultivation in seawater-based media: From laboratory to large-scale production
Huankai Li, Lei Guo, Leijian Chen, et al.
Journal of Environmental Management (2024) Vol. 369, pp. 122279-122279
Closed Access | Times Cited: 2
Reinvigorating algal cultivation for biomass production with digital twin technology - a smart sustainable infrastructure
Abdul Gaffar Sheik, Arvind Kumar, Faiz Ahmad Ansari, et al.
Algal Research (2024), pp. 103779-103779
Open Access | Times Cited: 2
Enhancing cellular production of fucoxanthin through machine learning assisted predictive approach inIsochrysis galbana
Janani Manochkumar, Annapurna Jonnalagadda, Aswani Kumar Cherukuri, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Machine learning-based prediction models unleash the enhanced production of fucoxanthin in Isochrysis galbana
Janani Manochkumar, Annapurna Jonnalagadda, Aswani Kumar Cherukuri, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 1
A novel approach for improving carbon fixation of Chlorella sp. by elements in converter steel slag using machine learning
Tian-Ji Liu, Qing Yu, Yitong Wang, et al.
Alexandria Engineering Journal (2024) Vol. 107, pp. 799-818
Closed Access
A reduced-order hybrid model for photobioreactor performance and biomass prediction
Shabnam Shahhoseyni, Lara Greco, Abhishek Sivaram, et al.
Algal Research (2024), pp. 103750-103750
Open Access
Graph-learning-based machine learning improves prediction and cultivation of commercial-grade marine microalgae Porphyridium
Huankai Li, Leijian Chen, Feng Zhang, et al.
Bioresource Technology (2024) Vol. 416, pp. 131728-131728
Closed Access
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