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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:

Machine learning for microalgae detection and utilization
Hongwei Ning, Rui Li, Teng Zhou
Frontiers in Marine Science (2022) Vol. 9
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Harnessing the potential of microalgae-bacteria interaction for eco-friendly wastewater treatment: A review on new strategies involving machine learning and artificial intelligence
Sudarshan Sahu, Anupreet Kaur, Gursharan Singh, et al.
Journal of Environmental Management (2023) Vol. 346, pp. 119004-119004
Closed Access | Times Cited: 57
Carbon capture, storage, and usage with microalgae: a review
Shweta Tripathi, Sonia Choudhary, Alok Meena, et al.
Environmental Chemistry Letters (2023) Vol. 21, Iss. 4, pp. 2085-2128
Closed Access | Times Cited: 28
Microalgal biorefineries: Advancement in machine learning tools for sustainable biofuel production and value-added products recovery
S. Kavitha, Yukesh Kannah Ravi, Gopalakrishnan Kumar, et al.
Journal of Environmental Management (2024) Vol. 353, pp. 120135-120135
Closed Access | Times Cited: 9
Software sensors in the monitoring of microalgae cultivations
Luis Porras Reyes, I. Havlík, Sascha Beutel
Reviews in Environmental Science and Bio/Technology (2024) Vol. 23, Iss. 1, pp. 67-92
Open Access | Times Cited: 6
Digital holography unveils sub-lethal copper doses using motility patterns of Tetraselmis microalgae bioprobes
Giusy Giugliano, Marika Valentino, Elena Cavalletti, et al.
Algal Research (2025), pp. 103928-103928
Open Access
Machine learning for algal biofuels: a critical review and perspective for the future
Ahmet Çoşgun, M. Erdem Günay, Ramazan Yıldırım
Green Chemistry (2023) Vol. 25, Iss. 9, pp. 3354-3373
Closed Access | Times Cited: 18
Smart systems in producing algae-based protein to improve functional food ingredients industries
Yi Ting Neo, Wen Yi Chia, Siew Shee Lim, et al.
Food Research International (2023) Vol. 165, pp. 112480-112480
Closed Access | Times Cited: 17
Single and combined toxic effects of nCu and nSiO2 on Dunaliella salina
Qi Li, Liju Tan, Jiangtao Wang
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 20, pp. 30256-30268
Closed Access | Times Cited: 4
Artificial Intelligence-Based Microfluidic Platform for Detecting Contaminants in Water: A Review
Yihao Zhang, Jiaxuan Li, Zhou Yu, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4350-4350
Open Access | Times Cited: 2
Unveiling the noxious effect of polystyrene microplastics in aquatic ecosystems and their toxicological behavior on fishes and microalgae
Nurin Nabilah Jalaudin Basha, Nurfarwizah Binti Adzuan Hafiz, Mohamed Syazwan Osman, et al.
Frontiers in Toxicology (2023) Vol. 5
Open Access | Times Cited: 6
A review on the applications of machine learning and deep learning in agriculture section for the production of crop biomass raw materials
Wei Peng, Omid Karimi Sadaghiani
Energy Sources Part A Recovery Utilization and Environmental Effects (2023) Vol. 45, Iss. 3, pp. 9178-9201
Closed Access | Times Cited: 6
Convolutional neural network in rice disease recognition: accuracy, speed and lightweight
Hongwei Ning, Sheng Liu, Qifei Zhu, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 6
Nutrients based classifications of Phyllospora comosa biomasses using machine learning algorithms: towards sustainable valorisation
Thiru Chenduran Somasundaram, Thomas S. Mock, Damien L. Callahan, et al.
(2024)
Closed Access | Times Cited: 1
Microalgal Bioethanol Production for Sustainable Development: Current Status and Future Prospects
Chetan Pandit, Soumya Pandit, Ramesh Chander Kuhad, et al.
Indian Journal of Microbiology (2024)
Closed Access | Times Cited: 1
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: 1
Artificial Intelligence and/or Machine Learning Algorithms in Microalgae Bioprocesses
Esra İmamoğlu
Bioengineering (2024) Vol. 11, Iss. 11, pp. 1143-1143
Open Access | Times Cited: 1
Utilization of AI – reshaping the future of food safety, agriculture and food security – a critical review
Jerina Rugji, Zeki Erol, Fulya Taşçı, et al.
Critical Reviews in Food Science and Nutrition (2024), pp. 1-45
Closed Access | Times Cited: 1
Freshwater Microscopic Algae Detection Based on Deep Neural Network with GAN-Based Augmentation for Imbalanced Algal Data
Benjamin S. B. Fung, Wang Hin Chan, Irene M.C. Lo, et al.
ACS ES&T Water (2023) Vol. 4, Iss. 3, pp. 982-990
Closed Access | Times Cited: 4
YOLOx model-based object detection for microalgal bioprocess
Huchao Yan, Xinggan Peng, Cheng Chen, et al.
Algal Research (2023) Vol. 74, pp. 103178-103178
Closed Access | Times Cited: 3
Smartphone-Based Microalgae Monitoring Platform Using Machine Learning
Sinyang Kim, Katelyn Sosnowski, Dong Soo Hwang, et al.
ACS ES&T Engineering (2023) Vol. 4, Iss. 1, pp. 186-195
Closed Access | Times Cited: 2
An Analytical Review on the Utilization of Machine Learning in the Biomass Raw Materials, Their Evaluation, Storage, and Transportation
Wei Peng, Omid Karimi Sadaghiani
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 8, pp. 4711-4732
Closed Access | Times Cited: 2
Automatic recognition and classification of microalgae using an inception-v3 convolution neural network model
Hong Zhang, Songqiu Yang, Xuezhi Zhang
International Journal of Environmental Science and Technology (2023) Vol. 21, Iss. 4, pp. 4625-4634
Closed Access | Times Cited: 2
Neural Networks for Monitoring Microalgae Biomass in Building Façades
Adham M. Elmalky, Mohamad T. Araji
Technology|Architecture + Design (2024) Vol. 8, Iss. 1, pp. 60-69
Closed Access
Staining to machine learning: An emerging technology for determination of microalgal cell viability
Taehee Kim, Biswajita Pradhan, Jang‐Seu Ki
Journal of Applied Phycology (2024) Vol. 36, Iss. 5, pp. 2573-2592
Closed Access
Bioprospecting of Microalgae Derived Commercial Significant Compounds
Pragya Mishra, Pinki Saini
(2024), pp. 75-85
Closed Access
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