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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:

A Guide to Signal Processing Algorithms for Nanopore Sensors
Chenyu Wen, Darío Demattíes, Shi‐Li Zhang
ACS Sensors (2021) Vol. 6, Iss. 10, pp. 3536-3555
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

The New Era of High-Throughput Nanoelectrochemistry
Xiangdong Xu, Dimitrios Valavanis, Paolo Ciocci, et al.
Analytical Chemistry (2023) Vol. 95, Iss. 1, pp. 319-356
Open Access | Times Cited: 87
Where Nanosensors Meet Machine Learning: Prospects and Challenges in Detecting Disease X
Yong Xiang Leong, Emily Xi Tan, Shi Xuan Leong, et al.
ACS Nano (2022) Vol. 16, Iss. 9, pp. 13279-13293
Open Access | Times Cited: 37
Portable nanopore-sequencing technology: Trends in development and applications
Chen Pin, Zepeng Sun, Jiawei Wang, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 32
Engineering Biological Nanopore Approaches toward Protein Sequencing
Xiaojun Wei, Tadas Penkauskas, Joseph E. Reiner, et al.
ACS Nano (2023) Vol. 17, Iss. 17, pp. 16369-16395
Open Access | Times Cited: 32
Identification of tagged glycans with a protein nanopore
Minmin Li, Yüting Xiong, Yuchen Cao, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 28
Development of an Artificially Intelligent Nanopore for High-Throughput DNA Sequencing with a Machine-Learning-Aided Quantum-Tunneling Approach
Milan Kumar Jena, Biswarup Pathak
Nano Letters (2023) Vol. 23, Iss. 7, pp. 2511-2521
Closed Access | Times Cited: 25
Machine Learning-Enabled Environmentally Adaptable Skin-Electronic Sensor for Human Gesture Recognition
Yongjun Song, Thi Huyen Nguyen, Dawoon Lee, et al.
ACS Applied Materials & Interfaces (2024) Vol. 16, Iss. 7, pp. 9551-9560
Closed Access | Times Cited: 12
Electrochemical Sweat Sensors
Emanuel Bilbao, Octavio Garate, Theo Rodríguez Campos, et al.
Chemosensors (2023) Vol. 11, Iss. 4, pp. 244-244
Open Access | Times Cited: 15
Identification of Conformational Variants for Bradykinin Biomarker Peptides from a Biofluid Using a Nanopore and Machine Learning
Sandra J. Greive, Laurent Bacri, Benjamin Cressiot, et al.
ACS Nano (2023) Vol. 18, Iss. 1, pp. 539-550
Closed Access | Times Cited: 15
Machine Learning Recognition of Artificial DNA Sequence with Quantum Tunneling Nanogap Junction
Milan Kumar Jena, Sneha Mittal, Biswarup Pathak
The Journal of Physical Chemistry B (2025)
Closed Access
Discovering the Origin of Catalyst Performance and Degradation of Electrochemical CO2 Reduction through Interpretable Machine Learning
Daeun Chloe Shin, Hakan Karasu, Kyojin Jang, et al.
ACS Catalysis (2025) Vol. 15, Iss. 3, pp. 2158-2170
Closed Access
Biosensors for plant pathogen detection
Hamna Maqsood, Habibullah Nadeem, Muhammad Hussnain Siddique, et al.
Elsevier eBooks (2025), pp. 689-710
Closed Access
The mind–machine connection: adaptive information processing and new technologies promoting mental health in older adults
Samildes Silva Magalhães, Ana Maria Lucas-Ochoa, Ana María González Cuello, et al.
The Neuroscientist (2025)
Closed Access
Solid-State Nanopore Sensors: Analyte Quantification by Event Frequency Analysis at High Voltages
Julia Järlebark, Wei Liu, Amina H. Shaji, et al.
Analytical Chemistry (2025)
Open Access
Interface Phenomena in Molecular Junctions through Noncovalent Interactions
Jia Wang, Xiaojing Wang, Chengpeng Yao, et al.
Langmuir (2025)
Closed Access
Advances and Challenges in Solid-State Nanopores for DNA Sequencing
Yong Zhou, Xia Long, Yongqi Zhang, et al.
Langmuir (2025)
Closed Access
Pd-Modified Microneedle Array Sensor Integration with Deep Learning for Predicting Silica Aerogel Properties in Real Time
Hyun-Su Park, In Woo Park, D.-Y. Kim, et al.
ACS Applied Materials & Interfaces (2025)
Closed Access
Probing Nanopores: Molecular Dynamics Insights into the Mechanisms of DNA and Protein Translocation through Solid-State and Biological Nanopores
Yuan‐Shuo Zhang, Mingming Ding
Soft Matter (2025)
Closed Access
Real-Time Fast Amyloid Seeding and Translocation of α-Synuclein with a Nanopipette
Nathan Meyer, Jean‐Marc Janot, Joan Torrent, et al.
ACS Central Science (2022) Vol. 8, Iss. 4, pp. 441-448
Open Access | Times Cited: 24
Pushing the limits of nanopore transport performance by polymer functionalization
Raheleh Pardehkhorram, Annette Andrieu‐Brunsen
Chemical Communications (2022) Vol. 58, Iss. 34, pp. 5188-5204
Open Access | Times Cited: 24
Artificial Intelligence: A Game Changer in Sensor Research
Soo‐Yeon Cho, Hee‐Tae Jung
ACS Sensors (2023) Vol. 8, Iss. 4, pp. 1371-1372
Closed Access | Times Cited: 12
Aptamer-based biosensors for the detection of neonicotinoid insecticides in environmental samples: A systematic review
Asma Zaid Almenhali, Shimaa Eissa
Talanta (2024) Vol. 275, pp. 126190-126190
Open Access | Times Cited: 4
Enhancing Efficiency and Decision-Making in Higher Education Through Intelligent Commercial Integration: Leveraging Artificial Intelligence
Xiao Han, Shumei Xiao, Jun Sheng, et al.
Journal of the Knowledge Economy (2024)
Closed Access | Times Cited: 4
Interpretation of stochastic electrochemical data
Sina S. Jamali, Yanfang Wu, A.M. Homborg, et al.
Current Opinion in Electrochemistry (2024) Vol. 46, pp. 101505-101505
Open Access | Times Cited: 3
Quantitative Microscopic Observation of Base–Ligand Interactions via Hydrogen Bonds by Single-Molecule Counting
Yusuke Takashima, Yuki Komoto, Takahito Ohshiro, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 2, pp. 1310-1318
Open Access | Times Cited: 9
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