
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:
Machine Learning to Reveal Nanoparticle Dynamics from Liquid-Phase TEM Videos
Lehan Yao, Zihao Ou, Binbin Luo, et al.
ACS Central Science (2020) Vol. 6, Iss. 8, pp. 1421-1430
Open Access | Times Cited: 146
Lehan Yao, Zihao Ou, Binbin Luo, et al.
ACS Central Science (2020) Vol. 6, Iss. 8, pp. 1421-1430
Open Access | Times Cited: 146
Showing 26-50 of 146 citing articles:
Machine Learning-Driven Multidomain Nanomaterial Design: From Bibliometric Analysis to Applications
Hong Wang, Hengyu Cao, Liang Yang
ACS Applied Nano Materials (2024)
Closed Access | Times Cited: 15
Hong Wang, Hengyu Cao, Liang Yang
ACS Applied Nano Materials (2024)
Closed Access | Times Cited: 15
Machine learning for analyses and automation of structural characterization of polymer materials
Shizhao Lu, Arthi Jayaraman
Progress in Polymer Science (2024) Vol. 153, pp. 101828-101828
Closed Access | Times Cited: 12
Shizhao Lu, Arthi Jayaraman
Progress in Polymer Science (2024) Vol. 153, pp. 101828-101828
Closed Access | Times Cited: 12
4D-STEM Mapping of Nanocrystal Reaction Dynamics and Heterogeneity in a Graphene Liquid Cell
Chang Liu, Oliver Lin, Saran Pidaparthy, et al.
Nano Letters (2024) Vol. 24, Iss. 13, pp. 3890-3897
Closed Access | Times Cited: 10
Chang Liu, Oliver Lin, Saran Pidaparthy, et al.
Nano Letters (2024) Vol. 24, Iss. 13, pp. 3890-3897
Closed Access | Times Cited: 10
Insight into Structural Evolution, Active Sites, and Stability of Heterogeneous Electrocatalysts
Shenlong Zhao, Yongchao Yang, Zhiyong Tang
Angewandte Chemie (2021) Vol. 134, Iss. 11
Closed Access | Times Cited: 54
Shenlong Zhao, Yongchao Yang, Zhiyong Tang
Angewandte Chemie (2021) Vol. 134, Iss. 11
Closed Access | Times Cited: 54
Reducing Time to Discovery: Materials and Molecular Modeling, Imaging, Informatics, and Integration
Seungbum Hong, Chi Hao Liow, Jong Min Yuk, et al.
ACS Nano (2021) Vol. 15, Iss. 3, pp. 3971-3995
Closed Access | Times Cited: 51
Seungbum Hong, Chi Hao Liow, Jong Min Yuk, et al.
ACS Nano (2021) Vol. 15, Iss. 3, pp. 3971-3995
Closed Access | Times Cited: 51
A Close Look at Molecular Self-Assembly with the Transmission Electron Microscope
Aoon Rizvi, Justin T. Mulvey, Brooke P. Carpenter, et al.
Chemical Reviews (2021) Vol. 121, Iss. 22, pp. 14232-14280
Closed Access | Times Cited: 48
Aoon Rizvi, Justin T. Mulvey, Brooke P. Carpenter, et al.
Chemical Reviews (2021) Vol. 121, Iss. 22, pp. 14232-14280
Closed Access | Times Cited: 48
Applications of deep learning in electron microscopy
Kevin P. Treder, Chen Huang, Judy S. Kim, et al.
Microscopy (2021) Vol. 71, Iss. Supplement_1, pp. i100-i115
Open Access | Times Cited: 44
Kevin P. Treder, Chen Huang, Judy S. Kim, et al.
Microscopy (2021) Vol. 71, Iss. Supplement_1, pp. i100-i115
Open Access | Times Cited: 44
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: 30
Zhiheng Cheng, Chaolun Wang, Xing Wu, et al.
Journal of Semiconductors (2022) Vol. 43, Iss. 8, pp. 081001-081001
Closed Access | Times Cited: 30
Science‐Driven Atomistic Machine Learning
Johannes T. Margraf
Angewandte Chemie International Edition (2023) Vol. 62, Iss. 26
Open Access | Times Cited: 23
Johannes T. Margraf
Angewandte Chemie International Edition (2023) Vol. 62, Iss. 26
Open Access | Times Cited: 23
Deep learning modeling in microscopy imaging: A review of materials science applications
Marco Ragone, Reza Shahabazian-Yassar, Farzad Mashayek, et al.
Progress in Materials Science (2023) Vol. 138, pp. 101165-101165
Open Access | Times Cited: 21
Marco Ragone, Reza Shahabazian-Yassar, Farzad Mashayek, et al.
Progress in Materials Science (2023) Vol. 138, pp. 101165-101165
Open Access | Times Cited: 21
An Overview of Coastline Extraction from Remote Sensing Data
Xixuan Zhou, Jinyu Wang, Fengjie Zheng, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4865-4865
Open Access | Times Cited: 20
Xixuan Zhou, Jinyu Wang, Fengjie Zheng, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4865-4865
Open Access | Times Cited: 20
Automated analysis of transmission electron micrographs of metallic nanoparticles by machine learning
Nina Gumbiowski, Κateryna Loza, Marc Heggen, et al.
Nanoscale Advances (2023) Vol. 5, Iss. 8, pp. 2318-2326
Open Access | Times Cited: 19
Nina Gumbiowski, Κateryna Loza, Marc Heggen, et al.
Nanoscale Advances (2023) Vol. 5, Iss. 8, pp. 2318-2326
Open Access | Times Cited: 19
Perspectives on Theoretical Models and Molecular Simulations of Polymer Brushes
Yijing Tang, Yonglan Liu, Dong Zhang, et al.
Langmuir (2023) Vol. 40, Iss. 2, pp. 1487-1502
Closed Access | Times Cited: 17
Yijing Tang, Yonglan Liu, Dong Zhang, et al.
Langmuir (2023) Vol. 40, Iss. 2, pp. 1487-1502
Closed Access | Times Cited: 17
Strategies to overcome electron-beam issues in liquid phase TEM: Study of chemical processes
Wenjing Zheng, Daewon Lee, Haimei Zheng
MRS Bulletin (2024) Vol. 49, Iss. 3, pp. 205-213
Open Access | Times Cited: 8
Wenjing Zheng, Daewon Lee, Haimei Zheng
MRS Bulletin (2024) Vol. 49, Iss. 3, pp. 205-213
Open Access | Times Cited: 8
High-Speed Imaging and Quantitative Analysis of Non-Equilibrium Stochastic Processes Using Atomic-Resolution Electron Microscopy
Takayuki Nakamuro
Bulletin of the Chemical Society of Japan (2024) Vol. 97, Iss. 7
Closed Access | Times Cited: 8
Takayuki Nakamuro
Bulletin of the Chemical Society of Japan (2024) Vol. 97, Iss. 7
Closed Access | Times Cited: 8
When Metal Nanoclusters Meet Smart Synthesis
Zhucheng Yang, Anye Shi, Ruixuan Zhang, et al.
ACS Nano (2024)
Closed Access | Times Cited: 7
Zhucheng Yang, Anye Shi, Ruixuan Zhang, et al.
ACS Nano (2024)
Closed Access | Times Cited: 7
A transfer learning approach for improved classification of carbon nanomaterials from TEM images
Qixiang Luo, Elizabeth A. Holm, Chen Wang
Nanoscale Advances (2020) Vol. 3, Iss. 1, pp. 206-213
Open Access | Times Cited: 42
Qixiang Luo, Elizabeth A. Holm, Chen Wang
Nanoscale Advances (2020) Vol. 3, Iss. 1, pp. 206-213
Open Access | Times Cited: 42
Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation
Leonid Mill, David W. Wolff, Nele Gerrits, et al.
Small Methods (2021) Vol. 5, Iss. 7
Open Access | Times Cited: 37
Leonid Mill, David W. Wolff, Nele Gerrits, et al.
Small Methods (2021) Vol. 5, Iss. 7
Open Access | Times Cited: 37
Machine Learning-Enabled Repurposing and Design of Antifouling Polymer Brushes
Yonglan Liu, Dong Zhang, Yijing Tang, et al.
Chemical Engineering Journal (2021) Vol. 420, pp. 129872-129872
Closed Access | Times Cited: 34
Yonglan Liu, Dong Zhang, Yijing Tang, et al.
Chemical Engineering Journal (2021) Vol. 420, pp. 129872-129872
Closed Access | Times Cited: 34
Understanding the growth mechanisms of metal-based core–shell nanostructures revealed by in situ liquid cell transmission electron microscopy
Junyu Zhang, Bensheng Xiao, Junhui Zhao, et al.
Journal of Energy Chemistry (2022) Vol. 71, pp. 370-383
Closed Access | Times Cited: 26
Junyu Zhang, Bensheng Xiao, Junhui Zhao, et al.
Journal of Energy Chemistry (2022) Vol. 71, pp. 370-383
Closed Access | Times Cited: 26
Machine learning, artificial intelligence, and chemistry: How smart algorithms are reshaping simulation and the laboratory
David Kuntz, Angela K. Wilson
Pure and Applied Chemistry (2022) Vol. 94, Iss. 8, pp. 1019-1054
Open Access | Times Cited: 25
David Kuntz, Angela K. Wilson
Pure and Applied Chemistry (2022) Vol. 94, Iss. 8, pp. 1019-1054
Open Access | Times Cited: 25
DefectTrack: a deep learning-based multi-object tracking algorithm for quantitative defect analysis of in-situ TEM videos in real-time
Rajat Sainju, Wei‐Ying Chen, Samuel Schaefer, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 23
Rajat Sainju, Wei‐Ying Chen, Samuel Schaefer, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 23
Deep Learning to Reveal the Distribution and Diffusion of Water Molecules in Fuel Cell Catalyst Layers
Gaoyang Li, Yonghong Zhu, Yuting Guo, et al.
ACS Applied Materials & Interfaces (2023) Vol. 15, Iss. 4, pp. 5099-5108
Closed Access | Times Cited: 16
Gaoyang Li, Yonghong Zhu, Yuting Guo, et al.
ACS Applied Materials & Interfaces (2023) Vol. 15, Iss. 4, pp. 5099-5108
Closed Access | Times Cited: 16
Imaging the Surface/Interface Morphologies Evolution of Silicon Anodes Using in Situ/Operando Electron Microscopy
Dahai Yang, Yun Xin Angel Ng, Kuanxin Zhang, et al.
ACS Applied Materials & Interfaces (2023) Vol. 15, Iss. 17, pp. 20583-20602
Closed Access | Times Cited: 15
Dahai Yang, Yun Xin Angel Ng, Kuanxin Zhang, et al.
ACS Applied Materials & Interfaces (2023) Vol. 15, Iss. 17, pp. 20583-20602
Closed Access | Times Cited: 15
Recent advances in liquid phase transmission electron microscopy of nanoparticle growth and self-assembly
Joodeok Kim, Sungsu Kang, Fanrui Cheng, et al.
MRS Bulletin (2024) Vol. 49, Iss. 4, pp. 365-376
Open Access | Times Cited: 6
Joodeok Kim, Sungsu Kang, Fanrui Cheng, et al.
MRS Bulletin (2024) Vol. 49, Iss. 4, pp. 365-376
Open Access | Times Cited: 6