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:

Robust intelligent topology for estimation of heat capacity of biochar pyrolysis residues
Mohsen Karimi, Elnaz Aminzadehsarikhanbeglou, Behzad Vaferi
Measurement (2021) Vol. 183, pp. 109857-109857
Closed Access | Times Cited: 50

Showing 26-50 of 50 citing articles:

A modeling approach for estimating hydrogen sulfide solubility in fifteen different imidazole-based ionic liquids
Jafar Abdi, Masoud Hadipoor, Seyyed Hamid Esmaeili-Faraj, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 18

Relying on machine learning methods for predicting hydrogen solubility in different alcoholic solvents
Zongming Zhou, Pejman Nourani, Mehdi Karimi, et al.
International Journal of Hydrogen Energy (2022) Vol. 47, Iss. 9, pp. 5817-5827
Closed Access | Times Cited: 16

The Impact of Nutshell Biochar on the Environment as an Alternative Fuel or as a Soil Amendment
Lukáš Jeníček, Barbora Tunklová, Jan Malaťák, et al.
Materials (2023) Vol. 16, Iss. 5, pp. 2074-2074
Open Access | Times Cited: 10

Prediction of heat transfer characteristics in a microchannel with vortex generators by machine learning
Alişan Gönül, Andaç Batur Çolak, Nurullah Kayacı, et al.
Kerntechnik (2023) Vol. 88, Iss. 1, pp. 80-99
Closed Access | Times Cited: 9

Developing a global approach for determining the molar heat capacity of deep eutectic solvents
Ali Bagherzadeh, Nahal Shahini, Danial Saber, et al.
Measurement (2021) Vol. 188, pp. 110630-110630
Closed Access | Times Cited: 22

Prediction of the SnO2-based sensor response for hydrogen detection by artificial intelligence techniques
Cheng Shi, Pei Wang, Jin Chen, et al.
International Journal of Hydrogen Energy (2023) Vol. 48, Iss. 52, pp. 19834-19845
Closed Access | Times Cited: 7

A Dynamic Recurrent Neural Network for Predicting Higher Heating Value of Biomass
Babak Aghel, Salah I. Yahya, Abbas Rezaei, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 6, pp. 5780-5780
Open Access | Times Cited: 7

Advancements in the Development of Porous Nanomaterials for CO2 Capture of Deep Decarbonization:Pore Structure and Chemical Group Optimization
Sifan Bao, Xudong Zheng, Zihuai Xu, et al.
Journal of environmental chemical engineering (2024), pp. 115171-115171
Closed Access | Times Cited: 2

Machine learning methods help accurate estimation of the hydrogen solubility in biomaterials
Yan Cao, Mehdi Karimi, Elham Kamrani, et al.
International Journal of Hydrogen Energy (2021) Vol. 47, Iss. 6, pp. 3611-3624
Closed Access | Times Cited: 16

Modeling the ammonia absorption capacity of choline chloride-based deep eutectic solvents with artificial neural networks
Wen Sun, Tian Li, Huaqiang Chu, et al.
Journal of Cleaner Production (2022) Vol. 373, pp. 133764-133764
Closed Access | Times Cited: 11

Effects of downstream ramp on the fuel diffusion of single cross jet at supersonic flow: Computational study
Zhixiong Li, Nidal H. Abu‐Hamdeh, Rashad A. R. Bantan, et al.
International Journal of Heat and Mass Transfer (2022) Vol. 195, pp. 123183-123183
Closed Access | Times Cited: 10

An Adaptive Neuro-Fuzzy Model-Based Algorithm for Fault Detection in PV Systems
Mary Pa, M. Nasir Uddin, Nima Rezaei
IEEE Transactions on Industry Applications (2023) Vol. 60, Iss. 1, pp. 1919-1927
Closed Access | Times Cited: 5

Biochar in Carbon Sequestration
Mohammad Shirzad, Mohsen Karimi, Alı́rio E. Rodrigues, et al.
Materials horizons (2023), pp. 73-105
Closed Access | Times Cited: 4

Substituting Solid Fossil Fuels with Torrefied Timber Products
Jan Malaťák, Martin Jankovský, Jitka Malaťáková, et al.
Materials (2023) Vol. 16, Iss. 24, pp. 7569-7569
Open Access | Times Cited: 4

Introducing a Linear Empirical Correlation for Predicting the Mass Heat Capacity of Biomaterials
Reza Iranmanesh, Afham Pourahmad, Fardad Faress, et al.
Molecules (2022) Vol. 27, Iss. 19, pp. 6540-6540
Open Access | Times Cited: 7

Constructing an Intelligent Model Based on Support Vector Regression to Simulate the Solubility of Drugs in Polymeric Media
Sait Senceroglu, Mohamed Arselene Ayari, Tahereh Rezaei, et al.
Pharmaceuticals (2022) Vol. 15, Iss. 11, pp. 1405-1405
Open Access | Times Cited: 7

Biomass Gasification and Applied Intelligent Retrieval in Modeling
Manish Meena, Hrishikesh Kumar, Nitin Dutt Chaturvedi, et al.
Energies (2023) Vol. 16, Iss. 18, pp. 6524-6524
Open Access | Times Cited: 3

Biochar for Climate Change Mitigation
Ehsan Shahhoseini, Moslem Arefifard, Mohsen Karimi
Materials horizons (2023), pp. 123-143
Closed Access | Times Cited: 3

A new approach for measurement of the low-temperature specific heat capacity
Y. Jiao, Chang Liu, X.P. Cui, et al.
Measurement (2022) Vol. 203, pp. 111892-111892
Closed Access | Times Cited: 4

Modeling of the Effect of Nanoparticles on CO2/CH4 Selectivity of Poly (4-methyl-1-pentene)-Based Mixed Matrix Membranes
Saleh Hosseini, Iman Shiryanpour, Ali Hosin Alibak, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access

Study of products derived from the microwave-assisted thermal degradation of high-moor peat
Tatiana Krapivnitckaia, S. A. Ananicheva, А. Б. Алыева, et al.
Proceedings of universities Applied chemistry and biotechnology (2024) Vol. 14, Iss. 2, pp. 265-274
Open Access

Experimental Complex for Peat Fragmentation by Low-Temperature Microwave Pyrolysis
Tatiana Krapivnitckaia, S. A. Ananicheva, А. Б. Алыева, et al.
Processes (2023) Vol. 11, Iss. 7, pp. 1924-1924
Open Access | Times Cited: 1

The conductivity dilemma: How biochar grain’s chemical composition and morphology hinder the direct measurement of its electrical conductivity
Filippo Ottani, Nicolò Morselli, Aurora De Luca, et al.
Measurement (2023) Vol. 222, pp. 113662-113662
Closed Access | Times Cited: 1

An adaptive Neuro-Fuzzy Model-Based Algorithm for Fault Detection in PV Systems
Mary Pa, M. Nasir Uddin, Nima Rezaei
2022 IEEE Industry Applications Society Annual Meeting (IAS) (2022), pp. 1-8
Closed Access | Times Cited: 1

A New Approach for Measurement of the Low-Temperature Specific Heat Capacity
Yang Jiao, Chang Liu, X.P. Cui, et al.
SSRN Electronic Journal (2022)
Closed Access

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