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:

Statistical prediction of waterflooding performance by K-means clustering and empirical modeling
Qinzhuo Liao, Liang Xue, Gang Lei, et al.
Petroleum Science (2022) Vol. 19, Iss. 3, pp. 1139-1152
Open Access | Times Cited: 15

Showing 15 citing articles:

A Bayesian Network Framework to Predict Compressive Strength of Recycled Aggregate Concrete
Tien-Dung Nguyen, Rachid Cherif, Pierre-Yves Mahieux, et al.
Journal of Composites Science (2025) Vol. 9, Iss. 2, pp. 72-72
Open Access | Times Cited: 2

Predicting gas-bearing distribution using DNN based on multi-component seismic data: Quality evaluation using structural and fracture factors
Kai Zhang, Niantian Lin, Jiuqiang Yang, et al.
Petroleum Science (2022) Vol. 19, Iss. 4, pp. 1566-1581
Open Access | Times Cited: 31

Prediction of Shale Gas Production by Hydraulic Fracturing in Changning Area Using Machine Learning Algorithms
Dongshuang Li, Shaohua You, Qinzhuo Liao, et al.
Transport in Porous Media (2023) Vol. 149, Iss. 1, pp. 373-388
Open Access | Times Cited: 20

Multi-objective optimization of reservoir development strategy with hybrid artificial intelligence method
Xinyu Zhuang, Wendong Wang, Yuliang Su, et al.
Expert Systems with Applications (2023) Vol. 241, pp. 122707-122707
Closed Access | Times Cited: 17

Sustainable management strategies for balancing crop yield, water use efficiency and greenhouse gas emissions
Junfang Zhao, Jia-Qi Yang, Hongfei Xie, et al.
Agricultural Systems (2024) Vol. 217, pp. 103944-103944
Closed Access | Times Cited: 4

Hyperparameter Tuning of Artificial Neural Networks for Well Production Estimation Considering the Uncertainty in Initialized Parameters
Miao Jin, Qinzhuo Liao, Shirish Patil, et al.
ACS Omega (2022) Vol. 7, Iss. 28, pp. 24145-24156
Open Access | Times Cited: 18

Predicting the Health Status of a Pulp Press Based on Deep Neural Networks and Hidden Markov Models
Alexandre Martins, Balduíno César Mateus, Inácio Fonseca, et al.
Energies (2023) Vol. 16, Iss. 6, pp. 2651-2651
Open Access | Times Cited: 7

Advanced Clustering Approach for Peer-to-Peer Local Energy Markets Considering Prosumers’ Preference Vectors
Godwin C. Okwuibe, Amin Shokri Gazafroudi, Esther Mengelkamp, et al.
IEEE Access (2023) Vol. 11, pp. 33607-33627
Open Access | Times Cited: 6

Electrochemical sensors coupled with machine learning for food safety and quality inspection
Gabriella Magarelli, Alessandra Maia Freire, Luciano Paulino Silva
Elsevier eBooks (2023), pp. 171-200
Closed Access | Times Cited: 5

Effects of Wettability and Minerals on Residual Oil Distributions Based on Digital Rock and Machine Learning
Yimin Zhang, Chengyan Lin, Yuqi Wu, et al.
Lithosphere (2022) Vol. 2022, Iss. Special 12
Open Access | Times Cited: 5

Research into the Relationship between Personality and Behavior in Video Games, Based on Mining Association Rules
Mengyang Gao, Jun Wang, Jing Yang
Mathematics (2023) Vol. 11, Iss. 3, pp. 772-772
Open Access | Times Cited: 2

Permeability Prediction of Nanoscale Porous Materials Using Discrete Cosine Transform-Based Artificial Neural Networks
Dongshuang Li, Shaohua You, Qinzhuo Liao, et al.
Materials (2023) Vol. 16, Iss. 13, pp. 4668-4668
Open Access | Times Cited: 1

A Deep Learning-based Surrogate Model for Pressure Transient Behaviors in Shale Wells with Heterogeneous Fractures
Zhiming Chen, Dexuan Li, Peng Dong, et al.
Transport in Porous Media (2022) Vol. 149, Iss. 1, pp. 345-371
Closed Access | Times Cited: 1

K-Means Clustering Approach to Determine Ore Type in Laterite Nickel Deposit
Wanni Wanni, Erwin Widodo
(2022), pp. 1-6
Closed Access

Page 1

Scroll to top