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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:

Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning
Jie Li, Lanjia Pan, Manu Suvarna, et al.
Applied Energy (2020) Vol. 269, pp. 115166-115166
Closed Access | Times Cited: 210

Showing 1-25 of 210 citing articles:

Prediction of Soil Heavy Metal Immobilization by Biochar Using Machine Learning
Kumuduni Niroshika Palansooriya, Jie Li, Pavani Dulanja Dissanayake, et al.
Environmental Science & Technology (2022) Vol. 56, Iss. 7, pp. 4187-4198
Open Access | Times Cited: 283
Applied Machine Learning for Prediction of CO2 Adsorption on Biomass Waste-Derived Porous Carbons
Xiangzhou Yuan, Manu Suvarna, S.M. Low, et al.
Environmental Science & Technology (2021) Vol. 55, Iss. 17, pp. 11925-11936
Open Access | Times Cited: 229
Machine learning methods for modelling the gasification and pyrolysis of biomass and waste
Simon Ascher, Ian Watson, Siming You
Renewable and Sustainable Energy Reviews (2021) Vol. 155, pp. 111902-111902
Open Access | Times Cited: 174
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: 147
Online prediction of mechanical properties of hot rolled steel plate using machine learning
Qian Xie, Manu Suvarna, Jiali Li, et al.
Materials & Design (2020) Vol. 197, pp. 109201-109201
Open Access | Times Cited: 144
Applications of machine learning in thermochemical conversion of biomass-A review
Muzammil Khan, Salman Raza Naqvi, Zahid Ullah, et al.
Fuel (2022) Vol. 332, pp. 126055-126055
Closed Access | Times Cited: 137
Machine learning aided bio-oil production with high energy recovery and low nitrogen content from hydrothermal liquefaction of biomass with experiment verification
Jie Li, Weijin Zhang, Tonggui Liu, et al.
Chemical Engineering Journal (2021) Vol. 425, pp. 130649-130649
Closed Access | Times Cited: 134
Machine learning aided supercritical water gasification for H2-rich syngas production with process optimization and catalyst screening
Jie Li, Lanjia Pan, Manu Suvarna, et al.
Chemical Engineering Journal (2021) Vol. 426, pp. 131285-131285
Open Access | Times Cited: 131
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: 129
Machine learning prediction of biocrude yields and higher heating values from hydrothermal liquefaction of wet biomass and wastes
Tossapon Katongtung, Thossaporn Onsree, Nakorn Tippayawong
Bioresource Technology (2021) Vol. 344, pp. 126278-126278
Closed Access | Times Cited: 109
Recent advancements and challenges in emerging applications of biochar-based catalysts
Xiangzhou Yuan, Yang Cao, Jie Li, et al.
Biotechnology Advances (2023) Vol. 67, pp. 108181-108181
Open Access | Times Cited: 100
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: 96
A critical review on biomass pyrolysis: Reaction mechanisms, process modeling and potential challenges
Arun K. Vuppaladadiyam, Arun K. Vuppaladadiyam, Vineet Singh Sikarwar, et al.
Journal of the Energy Institute (2023) Vol. 108, pp. 101236-101236
Open Access | Times Cited: 89
Machine learning for hydrothermal treatment of biomass: A review
Weijin Zhang, Qingyue Chen, Jiefeng Chen, et al.
Bioresource Technology (2022) Vol. 370, pp. 128547-128547
Closed Access | Times Cited: 88
Wet wastes to bioenergy and biochar: A critical review with future perspectives
Jie Li, Lanyu Li, Manu Suvarna, et al.
The Science of The Total Environment (2022) Vol. 817, pp. 152921-152921
Open Access | Times Cited: 84
Modeling phytoremediation of heavy metal contaminated soils through machine learning
Liang Shi, Jie Li, Kumuduni Niroshika Palansooriya, et al.
Journal of Hazardous Materials (2022) Vol. 441, pp. 129904-129904
Closed Access | Times Cited: 77
Understanding and optimizing the gasification of biomass waste with machine learning
Jie Li, Lanyu Li, Yen Wah Tong, et al.
Green Chemical Engineering (2022) Vol. 4, Iss. 1, pp. 123-133
Open Access | Times Cited: 73
Machine learning predicting and engineering the yield, N content, and specific surface area of biochar derived from pyrolysis of biomass
Lijian Leng, Lihong Yang, Xinni Lei, et al.
Biochar (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 73
Machine learning assisted predicting and engineering specific surface area and total pore volume of biochar
Hailong Li, Zejian Ai, Lihong Yang, et al.
Bioresource Technology (2022) Vol. 369, pp. 128417-128417
Closed Access | Times Cited: 73
Characterizing sludge pyrolysis by machine learning: Towards sustainable bioenergy production from wastes
Hossein Shahbeik, Shahin Rafiee, Alireza Shafizadeh, et al.
Renewable Energy (2022) Vol. 199, pp. 1078-1092
Closed Access | Times Cited: 69
Prediction heavy metals accumulation risk in rice using machine learning and mapping pollution risk
Bing Zhao, Wenxuan Zhu, Shefeng Hao, et al.
Journal of Hazardous Materials (2023) Vol. 448, pp. 130879-130879
Closed Access | Times Cited: 60
Utilizing support vector regression modeling to predict pyro product yields from microwave-assisted catalytic co-pyrolysis of biomass and waste plastics
Ramesh Potnuri, Chinta Sankar Rao, Dadi Venkata Surya, et al.
Energy Conversion and Management (2023) Vol. 292, pp. 117387-117387
Closed Access | Times Cited: 45
Prediction of Photochemical Properties of Dissolved Organic Matter Using Machine Learning
Zhiyang Liao, Jinrong Lu, Kunting Xie, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 17971-17980
Closed Access | Times Cited: 43
Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production
Alireza Shafizadeh, Hossein Shahbeik, Shahin Rafiee, et al.
Fuel (2023) Vol. 347, pp. 128467-128467
Open Access | Times Cited: 43
Emerging Photoreforming Process to Hydrogen Production: A Future Energy
Sandip Prabhakar Shelake, Dattatray Namdev Sutar, B. Moses Abraham, et al.
Advanced Functional Materials (2024) Vol. 34, Iss. 40
Closed Access | Times Cited: 26
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