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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:

Review in situ transmission electron microscope with machine learning
Zhiheng Cheng, Chaolun Wang, Xing Wu, et al.
Journal of Semiconductors (2022) Vol. 43, Iss. 8, pp. 081001-081001
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

A Review on Low-Dimensional Nanomaterials: Nanofabrication, Characterization and Applications
Paras, Kushal Yadav, Prashant Kumar, et al.
Nanomaterials (2022) Vol. 13, Iss. 1, pp. 160-160
Open Access | Times Cited: 83
Design Rules for Obtaining Narrow Luminescence from Semiconductors Made in Solution
Hao Nguyen, Grant J. Dixon, Florence Y. Dou, et al.
Chemical Reviews (2023) Vol. 123, Iss. 12, pp. 7890-7952
Open Access | Times Cited: 46
aquaDenoising: AI-enhancement of in situ liquid phase STEM video for automated quantification of nanoparticles growth
Adrien Moncomble, Damien Alloyeau, Maxime Moreaud, et al.
Ultramicroscopy (2025) Vol. 271, pp. 114121-114121
Open Access | Times Cited: 2
Using In‐situ Transmission Electron Microscopy to Study Strong Metal‐Support Interactions in Heterogeneous Catalysis
Jie Dai, Yifei Sun, Zhewei Liu, et al.
Angewandte Chemie International Edition (2024)
Closed Access | Times Cited: 10
Advanced theoretical modeling methodologies for electrocatalyst design in sustainable energy conversion
Tianyi Wang, Qilong Wu, Yun Han, et al.
Applied Physics Reviews (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
Using In‐situ Transmission Electron Microscopy to Study Strong Metal‐Support Interactions in Heterogeneous Catalysis
Jie Dai, Yifei Sun, Zhewei Liu, et al.
Angewandte Chemie (2024) Vol. 136, Iss. 42
Closed Access | Times Cited: 4
Recent Developments in Transmission Electron Microscopy for Crystallographic Characterization of Strained Semiconductor Heterostructures
Tao Gong, Longqing Chen, Xiaoyi Wang, et al.
Crystals (2025) Vol. 15, Iss. 2, pp. 192-192
Open Access
Imaging Gas‐Involved Structural Dynamics by Environmental Electron Microscopy
Yonghe Li, Qiaoru Ning, Hui Xu, et al.
Small (2025)
Closed Access
Artificial Intelligence Driven Applications in Analytical Chemistry, Drug Discovery, and Food Science: Advancements, Outlook, and Challenges
Madhumita Srivastava, Shiv Nandan, Aliza Zaidi, et al.
ChemistrySelect (2025) Vol. 10, Iss. 16
Closed Access
Advances on in situ TEM mechanical testing techniques: a retrospective and perspective view
Keqiang Li, Yeqiang Bu, Hongtao Wang
Frontiers in Materials (2023) Vol. 10
Open Access | Times Cited: 10
Deep learning analysis on transmission electron microscope imaging of atomic defects in two-dimensional materials
Gui Chen, Zhihao Zhang, Zongyi Li, et al.
iScience (2023) Vol. 26, Iss. 10, pp. 107982-107982
Open Access | Times Cited: 10
Visualizing Electrochemical CO2 Reduction Reaction: Recent Progress of In Situ Liquid Cell Transmission Electron Microscopy
Zeyu Guo, Paul Paciok, Robert Zandonella, et al.
Advanced Functional Materials (2025)
Closed Access
Tutorial on In Situ and Operando (Scanning) Transmission Electron Microscopy for Analysis of Nanoscale Structure–Property Relationships
Michelle A. Smeaton, Patricia Abellán, Steven R. Spurgeon, et al.
ACS Nano (2024) Vol. 18, Iss. 52, pp. 35091-35103
Open Access | Times Cited: 3
Emerging transmission electron microscopy solutions for electrocatalysts: from synthesis to deactivation
Le Wei, Zhanyong Xu, Xiaomei Wu, et al.
Materials Chemistry Frontiers (2024) Vol. 8, Iss. 9, pp. 2078-2108
Closed Access | Times Cited: 2
Realizing smart scanning transmission electron microscopy using high performance computing
Utkarsh Pratiush, Austin Houston, Sergei V. Kalinin, et al.
Review of Scientific Instruments (2024) Vol. 95, Iss. 10
Closed Access | Times Cited: 2
Neural network approach for ferroelectric hafnium oxide phase identification at the atomistic scale
Zhiheng Cheng, Xingran Xie, Y.-J. Yang, et al.
Materials Today Electronics (2023) Vol. 3, pp. 100027-100027
Open Access | Times Cited: 5
Deep learning-enabled probing of irradiation-induced defects in time-series micrographs
Kory Burns, Kayvon Tadj, Tarun Allaparti, et al.
APL Machine Learning (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 1
Strategies for high performance characterization of nanomaterials using in situ liquid cell transmission electron microscopy
Hongliang Lv, Wei Si, Jingjie Sha, et al.
Next Nanotechnology (2024) Vol. 7, pp. 100115-100115
Open Access | Times Cited: 1
Predicting column heights and elemental composition in experimental transmission electron microscopy images of high-entropy oxides using deep learning
Ishraque Zaman Borshon, Marco Ragone, Abhijit H. Phakatkar, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 1
The master key: structural science in unlocking functional materials advancements
S. Suárez
Journal of Applied Crystallography (2024) Vol. 57, Iss. 3, pp. 606-622
Closed Access | Times Cited: 1
An artificial intelligence’s interpretation of complex high-resolution in situ transmission electron microscopy data
Xingzhi Wang, Chang Yan, Justin C. Ondry, et al.
Matter (2023) Vol. 7, Iss. 1, pp. 175-190
Open Access | Times Cited: 3
Generation of inverse assist features using generative adversarial networks
Qingchen Cao, Peng Xu, Song Sun, et al.
Microelectronic Engineering (2023) Vol. 273, pp. 111951-111951
Closed Access | Times Cited: 2
Atomic Fabrication of 2D Materials Using Electron Beams Inside an Electron Microscope
Mingrui Zhou, Wei Zhang, Jinyi Sun, et al.
Nanomaterials (2024) Vol. 14, Iss. 21, pp. 1718-1718
Open Access
Pixel-wise classification in graphene-detection with tree-based machine learning algorithms
Woon Hyung Cho, Jiseon Shin, Young Duck Kim, et al.
Machine Learning Science and Technology (2022) Vol. 3, Iss. 4, pp. 045029-045029
Open Access | Times Cited: 1
Design rules for obtaining narrow luminescence from semiconductors made in solution
Hao Nguyen, Grant J. Dixon, Florence Y. Dou, et al.
(2023)
Open Access
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