Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Is hydrothermal treatment coupled with carbon capture and storage an energy-producing negative emissions technology?
Fangwei Cheng, Michael D. Porter, Lisa M. Colosi
Energy Conversion and Management (2019) Vol. 203, pp. 112252-112252
Closed Access | Times Cited: 108

Showing 1-25 of 108 citing articles:

Life cycle assessment of carbon dioxide removal technologies: a critical review
Tom Terlouw, Christian Bauer, Lorenzo Rosa, et al.
Energy & Environmental Science (2021) Vol. 14, Iss. 4, pp. 1701-1721
Open Access | Times Cited: 247
Slow pyrolysis as a platform for negative emissions technology: An integration of machine learning models, life cycle assessment, and economic analysis
Fangwei Cheng, Hongxi Luo, Lisa M. Colosi
Energy Conversion and Management (2020) Vol. 223, pp. 113258-113258
Closed Access | Times Cited: 189
Multi-task prediction and optimization of hydrochar properties from high-moisture municipal solid waste: Application of machine learning on waste-to-resource
Jie Li, Xinzhe Zhu, Yinan Li, et al.
Journal of Cleaner Production (2020) Vol. 278, pp. 123928-123928
Open Access | Times Cited: 152
Machine learning prediction and optimization of bio-oil production from hydrothermal liquefaction of algae
Weijin Zhang, Jie Li, Tonggui Liu, et al.
Bioresource Technology (2021) Vol. 342, pp. 126011-126011
Closed Access | Times Cited: 130
The role of machine learning to boost the bioenergy and biofuels conversion
Zheng‐Xin Wang, Xinggan Peng, Ao Xia, et al.
Bioresource Technology (2021) Vol. 343, pp. 126099-126099
Closed Access | Times Cited: 130
Machine-learning-aided thermochemical treatment of biomass: a review
Hailong Li, Jiefeng Chen, Weijin Zhang, et al.
Biofuel Research Journal (2023) Vol. 10, Iss. 1, pp. 1786-1809
Open Access | Times Cited: 99
Advances in application of machine learning to life cycle assessment: a literature review
Ali Ghoroghi, Yacine Rezgui, Ioan Petri, et al.
The International Journal of Life Cycle Assessment (2022) Vol. 27, Iss. 3, pp. 433-456
Open Access | Times Cited: 90
Environmental life cycle assessment of biomass conversion using hydrothermal technology: A review
Farihahusnah Hussin, Nur Nadira Hazani, Munawar Khalil, et al.
Fuel Processing Technology (2023) Vol. 246, pp. 107747-107747
Closed Access | Times Cited: 62
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: 20
Kinetic modelling and elemental balances applied to the hydrothermal liquefaction of sewage sludge
Marco Balsamo, Bijan Hejazi, Francesca Di Lauro, et al.
Chemical Engineering Journal (2025) Vol. 505, pp. 158767-158767
Open Access | Times Cited: 3
One-pot synthesis of high-efficiency hydroxyapatite-hydrochar composites derived from phytoremediation biomass and bone meal: Heavy metal stabilization, adsorption performance and mechanism
Yan Chen, Shi Chenglong, Bo Zhao, et al.
Journal of Alloys and Compounds (2025), pp. 179859-179859
Closed Access | Times Cited: 2
Smart sustainable biorefineries for lignocellulosic biomass
Alvin B. Culaba, Andres Philip Mayol, Jayne Lois San Juan, et al.
Bioresource Technology (2021) Vol. 344, pp. 126215-126215
Closed Access | Times Cited: 82
Application of machine learning in carbon capture and storage: An in-depth insight from the perspective of geoscience
Peiyi Yao, Ziwang Yu, Yanjun Zhang, et al.
Fuel (2022) Vol. 333, pp. 126296-126296
Closed Access | Times Cited: 69
The levelized cost of negative CO2 emissions from thermochemical conversion of biomass coupled with carbon capture and storage
Fangwei Cheng, Arthur A. Small, Lisa M. Colosi
Energy Conversion and Management (2021) Vol. 237, pp. 114115-114115
Closed Access | Times Cited: 68
Full-scale municipal sludge pyrolysis in China: Design fundamentals, environmental and economic assessments, and future perspectives
Hongxi Luo, Fangwei Cheng, Bin Yu, et al.
The Science of The Total Environment (2021) Vol. 795, pp. 148832-148832
Open Access | Times Cited: 63
Comparison between conventional solvothermal and aqueous solution-based production of UiO-66-NH2: Life cycle assessment, techno-economic assessment, and implications for CO2 capture and storage
Hongxi Luo, Fangwei Cheng, Luke Huelsenbeck, et al.
Journal of environmental chemical engineering (2021) Vol. 9, Iss. 2, pp. 105159-105159
Open Access | Times Cited: 61
Machine learning predicting wastewater properties of the aqueous phase derived from hydrothermal treatment of biomass
Lijian Leng, Weijin Zhang, Tonggui Liu, et al.
Bioresource Technology (2022) Vol. 358, pp. 127348-127348
Closed Access | Times Cited: 55
Energy Return on Investment of Major Energy Carriers: Review and Harmonization
David J. Murphy, Marco Raugei, Michael Carbajales‐Dale, et al.
Sustainability (2022) Vol. 14, Iss. 12, pp. 7098-7098
Open Access | Times Cited: 49
Hydrothermal carbonization of corn straw in biogas slurry
Huier Jiang, Fang Deng, Yiping Luo, et al.
Journal of Cleaner Production (2022) Vol. 353, pp. 131682-131682
Closed Access | Times Cited: 43
Recent advances and future prospects of thermochemical biofuel conversion processes with machine learning
Pil Rip Jeon, Jong-Ho Moon, Nafiu Olanrewaju Ogunsola, et al.
Chemical Engineering Journal (2023) Vol. 471, pp. 144503-144503
Open Access | Times Cited: 43
Machine learning for microalgae detection and utilization
Hongwei Ning, Rui Li, Teng Zhou
Frontiers in Marine Science (2022) Vol. 9
Open Access | Times Cited: 42
State-of-the-art and future directions of machine learning for biomass characterization and for sustainable biorefinery
Aditya Velidandi, Pradeep Kumar Gandam, Madhavi Latha Chinta, et al.
Journal of Energy Chemistry (2023) Vol. 81, pp. 42-63
Closed Access | Times Cited: 40
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: 40
Machine learning for sustainable development and applications of biomass and biomass-derived carbonaceous materials in water and agricultural systems: A review
Szu-Han Wang, Yuan Yao
Resources Conservation and Recycling (2023) Vol. 190, pp. 106847-106847
Open Access | Times Cited: 38
A review of machine learning applications in life cycle assessment studies
Xiaobo Xue Romeiko, Xuesong Zhang, Yulei Pang, et al.
The Science of The Total Environment (2023) Vol. 912, pp. 168969-168969
Open Access | Times Cited: 31
Page 1 - Next Page

Scroll to top