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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:

Reinforcement Learning for Dynamic Microfluidic Control
Oliver J. Dressler, Philip D. Howes, Jaebum Choo, et al.
ACS Omega (2018) Vol. 3, Iss. 8, pp. 10084-10091
Open Access | Times Cited: 70

Showing 26-50 of 70 citing articles:

Functions and applications of artificial intelligence in droplet microfluidics
Huan Liu, Lang Nan, Feng Chen, et al.
Lab on a Chip (2023) Vol. 23, Iss. 11, pp. 2497-2513
Closed Access | Times Cited: 19
Deep learning with microfluidics for on-chip droplet generation, control, and analysis
Hao Sun, Wantao Xie, Jin Mo, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 18
Microsystem Advances through Integration with Artificial Intelligence
Hsieh‐Fu Tsai, Soumyajit Podder, Pin‐Yuan Chen
Micromachines (2023) Vol. 14, Iss. 4, pp. 826-826
Open Access | Times Cited: 17
Optofluidic imaging meets deep learning: from merging to emerging
Dickson M. D. Siu, Kelvin C. M. Lee, Bob M. F. Chung, et al.
Lab on a Chip (2023) Vol. 23, Iss. 5, pp. 1011-1033
Closed Access | Times Cited: 14
Application of convolutional neural network fused with machine learning modeling framework for geospatial comparative analysis of landslide susceptibility
Zemin Gao, Mingtao Ding
Natural Hazards (2022) Vol. 113, Iss. 2, pp. 833-858
Closed Access | Times Cited: 24
Advancing microfluidic diagnostic chips into clinical use: a review of current challenges and opportunities
Vasant Iyer, Zijian Yang, Jina Ko, et al.
Lab on a Chip (2022) Vol. 22, Iss. 17, pp. 3110-3121
Open Access | Times Cited: 22
Machine learning-enabled multiplexed microfluidic sensors
Sajjad Rahmani Dabbagh, Fazle Rabbi, Zafer Doğan, et al.
Biomicrofluidics (2020) Vol. 14, Iss. 6, pp. 061506-061506
Open Access | Times Cited: 35
Automatic control of simulated moving bed process with deep Q-network
Tae Hoon Oh, Jong Woo Kim, Sang Hwan Son, et al.
Journal of Chromatography A (2021) Vol. 1647, pp. 462073-462073
Closed Access | Times Cited: 26
Combining computational fluid dynamics, photon fate simulation and machine learning to optimize continuous-flow photocatalytic systems
Gabriela Xavier de Oliveira, Simon Kuhn, Humberto Gracher Riella, et al.
Reaction Chemistry & Engineering (2023) Vol. 8, Iss. 9, pp. 2119-2133
Open Access | Times Cited: 9
Machine learning based microfluidic sensing device for viscosity measurements
Adil Mustafa, Daniyal Haider, Arnab Barua, et al.
Sensors & Diagnostics (2023) Vol. 2, Iss. 6, pp. 1509-1520
Open Access | Times Cited: 8
Integration of Artificial Intelligence and Computational Thinking in Lab-on-a-chip Technology for Quality Improvement in Healthcare
Suparna Das, Hirak Mazumdar
Royal Society of Chemistry eBooks (2024), pp. 272-309
Open Access | Times Cited: 2
A low cost, versatile and chromatographic device for microfluidic amperometric analyses
Deonir Agustini, Lucas Fedalto, Douglas Agustini, et al.
Sensors and Actuators B Chemical (2019) Vol. 304, pp. 127117-127117
Closed Access | Times Cited: 24
Adoption of reinforcement learning for the intelligent control of a microfluidic peristaltic pump
Takaaki Abe, Shinsuke Oh-hara, Yoshiaki Ukita
Biomicrofluidics (2021) Vol. 15, Iss. 3
Open Access | Times Cited: 19
Reinforcement Learning Control with Deep Deterministic Policy Gradient Algorithm for Multivariable pH Process
Chanin Panjapornpon, Patcharapol Chinchalongporn, Santi Bardeeniz, et al.
Processes (2022) Vol. 10, Iss. 12, pp. 2514-2514
Open Access | Times Cited: 12
Closed-loop control systems for pumps used in portable analytical systems
Suleman A. Naz, Van Thanh Huynh, Egan H. Doeven, et al.
Journal of Chromatography A (2023) Vol. 1695, pp. 463931-463931
Closed Access | Times Cited: 6
Integration of deep reinforcement learning to simple microfluidic system toward intelligent control: Demonstration of simultaneous microbeads manipulation
Takaaki Abe, Shinsuke Oh-hara, Yoshiaki Ukita
Sensors and Actuators B Chemical (2023) Vol. 397, pp. 134636-134636
Closed Access | Times Cited: 6
Deep Reinforcement Learning for Cascaded Hydropower Reservoirs Considering Inflow Forecasts
Wei Xu, Xiaoli Zhang, Anbang Peng, et al.
Water Resources Management (2020) Vol. 34, Iss. 9, pp. 3003-3018
Closed Access | Times Cited: 18
Microfluidic Devices Controlled by Machine Learning with Failure Experiments
Kenta Fukada, Michiko Seyama
Analytical Chemistry (2022) Vol. 94, Iss. 19, pp. 7060-7065
Closed Access | Times Cited: 11
Electrical Model of a Membraneless Micro Redox Flow Battery—Fluid Dynamics Influence
Alberto Bernaldo de Quirós, Alberto E. Quintero, Airán Francés, et al.
IEEE Access (2023) Vol. 11, pp. 46132-46143
Open Access | Times Cited: 5
Reinforcement Learning - A Systematic Literature Review
Salim Dridi
(2024)
Open Access | Times Cited: 1
Democratizing Microreactor Technology for Accelerated Discoveries in Chemistry and Materials Research
Tomomi Satō, Koji Masuda, Chikako Sano, et al.
Micromachines (2024) Vol. 15, Iss. 9, pp. 1064-1064
Open Access | Times Cited: 1
Convolutional neural network augmented soft-sensor for autonomous microfluidic production of uniform bubbles
Owen Land, Warren D. Seider, Daeyeon Lee
Chemical Engineering Journal (2024) Vol. 499, pp. 156494-156494
Closed Access | Times Cited: 1
Minimal droplet shape representation in experimental microfluidics using Fourier series and autoencoders
Mihir Durve, Jean‐Michel Tucny, Sibilla Orsini, et al.
Physics of Fluids (2024) Vol. 36, Iss. 11
Open Access | Times Cited: 1
Reinforcement-Learning designs droplet microfluidic networks
Mohammad Shahab, Raghunathan Rengaswamy
Computers & Chemical Engineering (2022) Vol. 161, pp. 107787-107787
Closed Access | Times Cited: 9
Investigation of Different Free Image Analysis Software for High-Throughput Droplet Detection
Immanuel Sanka, Simona Bartkova, Pille Pata, et al.
ACS Omega (2021) Vol. 6, Iss. 35, pp. 22625-22634
Open Access | Times Cited: 11

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