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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:

Explainable AI models for predicting drop coalescence in microfluidics device
Jin-Wei Hu, Kewei Zhu, Sibo Cheng, et al.
Chemical Engineering Journal (2024) Vol. 481, pp. 148465-148465
Open Access | Times Cited: 14

Showing 14 citing articles:

Explainable AI Chatbots Towards XAI ChatGPT: A Review
Attila Kővári
Heliyon (2025) Vol. 11, Iss. 2, pp. e42077-e42077
Open Access | Times Cited: 2
Dual-directional small-sampling deep-learning modelling on co-flowing microfluidic droplet generation
Ji‐Xiang Wang, Jian Qian, Hongmei Wang, et al.
Chemical Engineering Journal (2024) Vol. 485, pp. 149467-149467
Closed Access | Times Cited: 6
Machine learning and physics-driven modelling and simulation of multiphase systems
Nausheen Basha, Rossella Arcucci, Panagiota Angeli, et al.
International Journal of Multiphase Flow (2024) Vol. 179, pp. 104936-104936
Open Access | Times Cited: 6
Optimizing Droplet Coalescence Dynamics in Microchannels: A Comprehensive Study Using Response Surface Methodology and Machine Learning Algorithms
Seyed Morteza Javadpour, Erfan Kadivar, Zienab Heidary Zarneh, et al.
Heliyon (2025) Vol. 11, Iss. 1, pp. e41510-e41510
Open Access
A novel hybrid group method of data handling and Levenberg Marquardt model for estimating total organic carbon in source rocks with explainable artificial intelligence
Christopher N. Mkono, Chuanbo Shen, Alvin K. Mulashani, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110137-110137
Closed Access
Modeling and analysis of droplet generation in microchannels using interpretable machine learning methods
Mengqi Liu, Haoyang Hu, Yongjin Cui, et al.
Chemical Engineering Journal (2025), pp. 161972-161972
Closed Access
Striking a balance: navigating the trade-offs between predictive accuracy and interpretability in machine learning models
Miguel Arantes, Wenceslao González‐Manteiga, Javier Martínez Martínez, et al.
Electronic Research Archive (2025) Vol. 33, Iss. 4, pp. 2092-2117
Open Access
Enhancing Survival Analysis Model Selection through XAI(t) in Healthcare
Francesco Berloco, Pietro Maria Marvulli, Vladimiro Suglia, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6084-6084
Open Access | Times Cited: 2
Additive-feature-attribution methods: A review on explainable artificial intelligence for fluid dynamics and heat transfer
A. Cremades, Sergio Hoyas, Ricardo Vinuesa
International Journal of Heat and Fluid Flow (2024) Vol. 112, pp. 109662-109662
Open Access | Times Cited: 2
Domain Adaptation for Roasted Coffee Bean Quality Inspection
Cheng-Lung Chang, Shou-Chuan Lai, Ching‐Yi Chen
International Journal of Engineering and Technology Innovation (2024) Vol. 14, Iss. 3, pp. 321-334
Open Access | Times Cited: 1
Explainable AI model for predicting equivalent viscous damping in dual frame–wall resilient system
Chuandong Xie, Jin-Wei Hu, George Vasdravellis, et al.
Journal of Building Engineering (2024) Vol. 96, pp. 110564-110564
Open Access | Times Cited: 1
A Generative Adversarial Network Approach to Predict Nanoparticle Size in Microfluidics
Sara Mihandoost, Sima Rezvantalab, Roger M. Pallares, et al.
ACS Biomaterials Science & Engineering (2024) Vol. 11, Iss. 1, pp. 268-279
Closed Access
Hybrid Lattice Boltzmann and Finite Difference Model for Simulating Electrohydrodynamic Effects on Multicomponent Viscoelastic Fluids
Jiachen Zhao
(2024)
Open Access
Accelerating the discovery of type Ⅱ photosensitizer: Experimentally validated machine learning models for predicting the singlet oxygen quantum yield of photosensitive molecule
Liqiang He, Jiapeng Dong, Yuhang Yang, et al.
Journal of Molecular Structure (2024) Vol. 1321, pp. 139850-139850
Closed Access
A Two-dimensional Numerical Characterization on the Droplet Dynamics in the Electric Field by VOSET Method
Yanning Wang, N. Zhou, Peng Yu, et al.
European Journal of Mechanics - B/Fluids (2024)
Closed Access
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