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Aron, N. S. M., Chew, K. W., Ang, W. L., Ratchahat, S., Rinklebe, J., & Show, P. L. (2022) · Fuel · doi:10.1016/j.fuel.2022.123368 · Cited by 35 · see citing works

Isolation of freshwater microalgae and outdoor cultivation using cheese whey as substrate

Bonett, J. E. A., Duarte, P. D. S. G., Cardoso, P. G., Coelho, F. D. F., & Duarte, W. F. (2020) · Biocatalysis and Agricultural Biotechnology · doi:10.1016/j.bcab.2020.101799 · Cited by 30 · see citing works

Delineating metabolomic changes in native isolate Aurantiochytrium for production of docosahexaenoic acid in presence of varying carbon substrates

Mariam, I., Kareya, M. S., Nesamma, A. A., & Jutur, P. P. (2021) · Algal Research · doi:10.1016/j.algal.2021.102285 · Cited by 30 · see citing works

Growth Performance and Biochemical Composition of Desmodesmus sp. Green Alga Grown on Agricultural Industries Waste (Cheese Whey)

Salah, A., Sany, H., El-Sayed, A. E.-K. B., El-Bahbohy, R. M., Mohamed, H. I., & Amin, A. (2023) · Water Air & Soil Pollution · doi:10.1007/s11270-023-06780-0 · Cited by 29 · see citing works

Multi-product biorefinery from Arthrospira platensis biomass as feedstock for bioethanol and lactic acid production

Esquivel-Hernandez, D. A., Pennacchio, A., Torres‐Acosta, M. A., Parra‐Saldívar, R., Vandenberghe, L. P. D. S., & Faraco, V. (2021) · Scientific Reports · doi:10.1038/s41598-021-97803-5 · Cited by 26 · see citing works

Transforming dairy effluent into valuable resources: Harnessing microalgae for sustainable production of nutraceuticals and pharmaceuticals

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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

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AI-Driven Algae Biorefineries: A New Era for Sustainable Bioeconomy

Abdullah, M., Malik, H. A., Ali, A., Boopathy, R., Vo, P. H. N., Danaee, S., Ralph, P., & Malik, S. (2025) · Current Pollution Reports · doi:10.1007/s40726-025-00352-y · Cited by 24 · see citing works

Real-Time Algal Monitoring Using Novel Machine Learning Approaches

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Assessing sediment organic pollution via machine learning models and resource performance

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Digitalised prediction of blue pigment content from Spirulina platensis: Next-generation microalgae bio-molecule detection

Chong, J. W. R., Khoo, K. S., Chew, K. W., Ting, H.-Y., Iwamoto, K., & Show, P. L. (2024) · Algal Research · doi:10.1016/j.algal.2024.103642 · Cited by 16 · see citing works

A Review of Intelligent Modeling for Microalgae Systems: Integrating Data Mining, Machine Learning, and Hybrid Approaches

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Automated Cultivation System for Microalgae: Growth Factors and Control

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Machine learning-assisted synthetic biology of cyanobacteria and microalgae

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Integral Approach for the Evaluation of Sugar Cane Bio-Waste Molasses and Effects on Algal Lipids and Biodiesel Production

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Advancing algal biofuel production through data-driven insights: A comprehensive review of machine learning applications

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Highly Active Astaxanthin Production from Waste Molasses by Mutated Rhodosporidium toruloides G17

Tran, T. N., Tran, N.-T., Tran, T.-A., Pham, D., Su, C., Nguyen, H. C., Barrow, C. J., & Ngo, D. (2023) · Fermentation · doi:10.3390/fermentation9020148 · Cited by 12 · see citing works

Artificial Intelligence–driven microalgal biorefineries: Advancing wastewater phycoremediation toward sustainable biofuel and high-value product generation

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Data-driven neural networks for biological wastewater resource recovery: Development and challenges

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Optimization of biomass growth for a novel quadruple renewable geothermal/hydro/biomass/solar hybrid system

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Cultivation of microalgae on agricultural wastewater for recycling energy, water, and fertilizer nutrients

Wang, L., & Zhang, B. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-85859-5.00006-3 · Cited by 12 · see citing works

Triphasic partitioning of mixed Scenedesmus and Desmodesmus for nutrients’ extraction and chlorophyll composition prediction for algae bloom

Tang, D. Y. Y., Chew, K. W., Chia, S. R., Ting, H.-Y., Sia, Y.-H., Gentili, F. G., Ma, Z., Awasthi, M. K., & Show, P. L. (2022) · Environmental Technology · doi:10.1080/09593330.2022.2150094 · Cited by 11 · see citing works

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Tran, T., Le, T. D., Vo, T., & Bui, X. (2023) · Systems Microbiology and Biomanufacturing · doi:10.1007/s43393-023-00203-1 · Cited by 11 · see citing works

Bioremediation of heavy metals in palm oil mill effluent (POME) using Chlorella vulgaris: A biological approach

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Digital transformation of microalgae production: A review of potential optimization strategies for Chlorella vulgaris through intelligent control

Carvalho, J. D. S., Artifon, W., da Silva, A., de Andrade, C. J., & de Olíveira, D. (2025) · Algal Research · doi:10.1016/j.algal.2025.104216 · Cited by 10 · see citing works

Exploring the potential of Chlorella vulgaris for nutrient removal and biomass accumulation in palm oil mill effluent (POME): A sustainable and green technology approach

Jijingi, H. E., Yazdi, S. K., Abakr, Y. A., & Satya, A. D. M. (2025) · Case Studies in Chemical and Environmental Engineering · doi:10.1016/j.cscee.2025.101274 · Cited by 9 · see citing works

Enabling Smart Agriculture Through Integrating the Internet of Things in Microalgae Farming for Sustainability

El-Moustaqim, K., Mabrouki, J., Azrour, M., Hadine, M., & Hmouni, D. (2024) · Studies in computational intelligence · doi:10.1007/978-3-031-70102-3_15 · Cited by 7 · see citing works

The state-of-the-art applications of machine learning technologies in liquid biofuel biorefineries

Xie, D., Shi, Y., Wang, J., Cárdenas‐Oscanoa, A. J., Wang, S., & Huang, C. (2025) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2025.108510 · Cited by 7 · see citing works

Bioactivity of selenium nanoparticles biosynthesized by crude phycocyanin extract of Leptolyngbya sp. SSI24 cultivated on recycled filter cake wastes from sugar-industry

Saad, S., Abdelghany, A. M., Abou-El-Wafa, G. S. E., Aldesuquy, H. S., & Eltanahy, E. (2024) · Microbial Cell Factories · doi:10.1186/s12934-024-02482-2 · Cited by 7 · see citing works

An Integrated Approach for Simultaneous Monitoring and Data Acquisition on the Culture of Green Microalga Chlorella Homosphaera Using Different LED Illumination

Borah, D., Eldiehy, K. S. H., Hatiboruah, D., Mandal, M., & Deka, D. (2023) · BioEnergy Research · doi:10.1007/s12155-022-10452-y · Cited by 6 · see citing works

Artificial intelligence driven microalgae based green fabrication and bioenergy systems for sustainable energy materials and biowaste valorization

Abbaszadeh, M., Punna, S., Pusuluru, S., Samuel, M. S., Khandge, R. S., Ethiraj, S., Almukhlifi, H. A., & Menaa, F. (2026) · Frontiers in Chemistry · doi:10.3389/fchem.2026.1858141 · Cited by 6 · see citing works

Effects of fluid-flow regimes on Chlorella sorokiniana cultivation in cascade photobioreactors with either flat or wavy bottoms

Giannelli, L., Watanabe, C., Yamaji, H., & Katsuda, T. (2022) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2022.09.008 · Cited by 4 · see citing works

The Effect of Waste Molasses on the Growth and the Amount of Lipid and Protein of Chlorella vulgaris

ŞİMŞEK, G. K., & Cetin, A. K. (2022) · International Journal of Nature and Life Sciences · doi:10.47947/ijnls.1092216 · Cited by 3 · see citing works

Optimization of Chlorella vulgaris cultivation grown in waste molasses syrup using mixture design

Mohammadi, F. S., & Arabian, D. (2022) · Journal of the American Oil Chemists Society · doi:10.1002/aocs.12656 · Cited by 4 · see citing works

Exploiting sugarcane waste molasses and dephenolized cottonseed protein as the promising component for eco-friendly wood-based panel adhesive formulation

Cai, W., & Zhao, Z. (2023) · Wood Material Science and Engineering · doi:10.1080/17480272.2023.2289032 · Cited by 3 · see citing works

Towards a circular economy - Repurposing side streams from the potato processing industry by Chlorella vulgaris

Kriechbaum, R., Kronlachner, L., Limbeck, A., Kopp, J., & Oliver Spadiut, A. (2024) · Journal of Environmental Management · doi:10.1016/j.jenvman.2024.121796 · Cited by 3 · see citing works

Enhancing high-value metabolite production and asparaginase activity in Haematococcus pluvialis: impact of different organic carbon sources and feeding strategies

de Moraes, L. B. S., Mota, G. C. P., Molina-Miras, A., Sánchez‐Mirón, A., Cerón-García, M. C., Gálvez, A. O., Bezerra, R. D. S., & García-Camacho, F. (2025) · Biomass Conversion and Biorefinery · doi:10.1007/s13399-025-06779-z · Cited by 3 · see citing works

Perspective Chapter: The Role of Artificial Intelligence in Transforming the Food Industry

İçöz, A. (2026) · IntechOpen eBooks · doi:10.5772/intechopen.1014770 · Cited by 1 · see citing works

Digitalising bioenergy processes: Surveying literature and industrial experience to understand progress, challenges and opportunities

Dekhici, B., & Short, M. (2026) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2026.109507 · Cited by 1 · see citing works

Artificial intelligence driven microalgal wastewater treatment: Predictive modeling, optimization, and process integration

Sundaram, K. M., Elumalai, R., Aguado, A. J. F., Juneja, A., & Rajendran, K. (2026) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2026.105118 · Cited by 1 · see citing works

Microalgal Proteins for Sustainability: How Microalgal Proteins Can Solve the Crisis in the Food Industry?

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China’s bioenergy potential will be stable and decoupling from economy and population at national level: A study based on machine regression prediction model

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Enhancing High-Value Metabolite Production and L-Asparaginase Activity in Haematococcus Pluvialis: Impact of Different Organic Carbon Sources and Feeding StrategiesPreprint

de Moraes, L. B. S., Mota, G. C. P., Molina-Miras, A., Sánchez‐Mirón, A., Cerón-García, M. C., Gálvez, A. O., Bezerra, R. D. S., & García-Camacho, F. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4852211 · Cited by 1 · see citing works

Advancing Algal Biofuel Production Through Data-driven Insights: a Comprehensive Review of Machine Learning ApplicationsPreprint

Akande, O., Ogbaga, C. C., Okolie, J. A., & Kimera, R. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4898510

Bioaccumulation of Nickel Ions by Rhizopus delemar

Başkan, G., & Açıkel, Ü. (2025) · Sakarya University Journal of Science · doi:10.16984/saufenbilder.1356825

Global market potential and economic aspects of microalgae for biofuelproduction

Jamil, R., Zaidi, A. A., Rai, R., Memon, A. H., Aijaz, A., & Asif, M. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-29269-9.00013-7 · Cited by 1 · see citing works

Artificial intelligence in food science and nutrition

Chaudhary, N., & Gupta, A. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-27465-7.00001-7

AI ‐Driven Strategies for Automated Microalgae Production Systems: Enhancing Yield, Efficiency, and Commercial Viability

Peter, A. P., Mahari, W. A. W., Lim, S. Y. M., Ibrahim, A. Y., Sankaran, R., Markandan, K., & Rajasegran, T. (2026) · GCB Bioenergy · doi:10.1111/gcbb.70174

Neural network integrated RSM–BBD optimization for enhanced biocrude production from algal biomass

Ketife, A. M. D. A., Almomani, F., & Sangor, F. (2026) · Algal Research · doi:10.1016/j.algal.2026.104921

The Role of Food Waste in Resource Recovery and Circular Economy: Advocacy and Implementation

Rezaeisabzevar, Y., & Golzary, A. (2026) · Springer eBooks · doi:10.1007/978-3-032-23993-8_12

Microalgae cultivation on secondary resources: A review.

Morshchinin, I. V., Nazarova, V. I., & Kriger, O. V. (2026) · Food systems · doi:10.21323/2618-9771-2026-9-3-461-470

Cultivation of Chlorella vulgaris on dairy waste using vision imaging for biomass growth monitoring

Peter, A. P., Chew, K. W., Koyande, A. K., Sia, Y.-H., Ting, H. Y., Rajendran, S., Munawaroh, H. S. H., Yoo, C., & Show, P. L. (2021) · Bioresource Technology · doi:10.1016/j.biortech.2021.125892 · Cited by 35 · see citing works

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

Ramandani, A. A., Chong, J. W. R., Srinuanpan, S., Lim, J. W., Jiang, J.-J., & Khoo, K. S. (2025) · Algal Research · doi:10.1016/j.algal.2025.103935 · Cited by 22 · see citing works

The Effect of Waste Molasses on the Growth and the Amount of Lipid and Protein of Chlorella vulgaris

ŞİMŞEK, G. K., & Cetin, A. K. (2022) · International Journal of Nature and Life Sciences · doi:10.47947/ijnls.1092216 · Cited by 3 · see citing works

Artificial intelligence model for monitoring biomass growth in semi-batch Chlorella vulgaris cultivation

Peter, A. P., Chew, K. W., Pandey, A., Lau, S. Y., Rajendran, S., Ting, H. Y., Munawaroh, H. S. H., Phuong, N. V., & Show, P. L. (2022) · Fuel · doi:10.1016/j.fuel.2022.126438 · Cited by 56 · see citing works

Evaluation of Sugar Mill By-product Molasses as a Low Cost Culture Media for Microalgae

Rahman, M. H., Khan, A. A. I., Habib, M. A. B., & Hossain, M. S. (2022) · Aquaculture Studies · doi:10.4194/aquast776 · Cited by 8 · see citing works