Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Fabrication of High-Quality Thin Solid-State Electrolyte Films Assisted by Machine Learning
Yu‐Ting Chen, Marc Duquesnoy, Darren H. S. Tan, et al.
ACS Energy Letters (2021), pp. 1639-1648
Open Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

Artificial Intelligence Applied to Battery Research: Hype or Reality?
Teo Lombardo, Marc Duquesnoy, Hassna El-Bouysidy, et al.
Chemical Reviews (2021) Vol. 122, Iss. 12, pp. 10899-10969
Open Access | Times Cited: 291
Rechargeable Batteries of the Future—The State of the Art from a BATTERY 2030+ Perspective
Maximilian Fichtner, Kristina Edström, Elixabete Ayerbe, et al.
Advanced Energy Materials (2021) Vol. 12, Iss. 17
Open Access | Times Cited: 231
Towards Long Lifetime Battery: AI-Based Manufacturing and Management
Kailong Liu, Zhongbao Wei, Chenghui Zhang, et al.
IEEE/CAA Journal of Automatica Sinica (2022) Vol. 9, Iss. 7, pp. 1139-1165
Closed Access | Times Cited: 183
Challenges, interface engineering, and processing strategies toward practical sulfide‐based all‐solid‐state lithium batteries
Yuhao Liang, Hong Liu, Guoxu Wang, et al.
InfoMat (2022) Vol. 4, Iss. 5
Open Access | Times Cited: 161
Digitalization of Battery Manufacturing: Current Status, Challenges, and Opportunities
Elixabete Ayerbe, Maitane Berecibar, Simon Clark, et al.
Advanced Energy Materials (2021) Vol. 12, Iss. 17
Open Access | Times Cited: 107
Scaling up high-energy-density sulfidic solid-state batteries: A lab-to-pilot perspective
Darren H. S. Tan, Ying Shirley Meng, Jihyun Jang
Joule (2022) Vol. 6, Iss. 8, pp. 1755-1769
Closed Access | Times Cited: 106
Priority and Prospect of Sulfide‐Based Solid‐Electrolyte Membrane
Hong Liu, Yuhao Liang, Chao Wang, et al.
Advanced Materials (2022) Vol. 35, Iss. 50
Closed Access | Times Cited: 70
Challenges and opportunities of practical sulfide-based all-solid-state batteries
Dongsheng Ren, Languang Lu, Rui Hua, et al.
eTransportation (2023) Vol. 18, pp. 100272-100272
Open Access | Times Cited: 48
Physio‐Electrochemically Durable Dry‐Processed Solid‐State Electrolyte Films for All‐Solid‐State Batteries
Dong Ju Lee, Jihyun Jang, Jung‐Pil Lee, et al.
Advanced Functional Materials (2023) Vol. 33, Iss. 28
Open Access | Times Cited: 47
Current Status and Future Directions in Environmental Stability of Sulfide Solid-State Electrolytes for All-Solid-State Batteries
Jianwen Liang, Xiaona Li, Changhong Wang, et al.
Energy Material Advances (2023) Vol. 4
Open Access | Times Cited: 42
Advances in thermal‐related analysis techniques for solid‐state lithium batteries
Jianan Wang, Kai Yang, Shiyi Sun, et al.
InfoMat (2023) Vol. 5, Iss. 4
Open Access | Times Cited: 39
Data-driven-aided strategies in battery lifecycle management: Prediction, monitoring, and optimization
Liqianyun Xu, Feng Wu, Renjie Chen, et al.
Energy storage materials (2023) Vol. 59, pp. 102785-102785
Closed Access | Times Cited: 39
Machine Learning‐Assisted Property Prediction of Solid‐State Electrolyte
Jin Li, Meisa Zhou, Hong‐Hui Wu, et al.
Advanced Energy Materials (2024) Vol. 14, Iss. 20
Closed Access | Times Cited: 39
High Ionic Conductive, Mechanical Robust Sulfide Solid Electrolyte Films and Interface Design for All‐Solid‐State Lithium Metal Batteries
Dabing Li, Hong Liu, Chao Wang, et al.
Advanced Functional Materials (2024) Vol. 34, Iss. 27
Closed Access | Times Cited: 27
Advances in materials and machine learning techniques for energy storage devices: A comprehensive review
Prit Thakkar, Sachi Khatri, Drashti Dobariya, et al.
Journal of Energy Storage (2024) Vol. 81, pp. 110452-110452
Closed Access | Times Cited: 20
Development of solid polymer electrolytes for solid-state lithium battery applications
Jieyan Li, Xin Chen, Saz Muhammad, et al.
Materials Today Energy (2024) Vol. 43, pp. 101574-101574
Closed Access | Times Cited: 19
Recent advances in artificial intelligence boosting materials design for electrochemical energy storage
X.-B. Liu, Kexin Fan, Xinmeng Huang, et al.
Chemical Engineering Journal (2024) Vol. 490, pp. 151625-151625
Open Access | Times Cited: 18
Enhanced Air Stability and Li Metal Compatibility of Li‐Argyrodite Electrolytes Triggered by In2O3 Co‐Doping for All‐Solid‐State Li Metal Batteries
Chengdeng Wang, Jiamao Hao, Jun Wu, et al.
Advanced Functional Materials (2024) Vol. 34, Iss. 18
Closed Access | Times Cited: 14
A Versatile Li6.5In0.25P0.75S5I Sulfide Electrolyte Triggered by Ultimate‐Energy Mechanical Alloying for All‐Solid‐State Lithium Metal Batteries
Zhao Jiang, Hongling Peng, Yu Liu, et al.
Advanced Energy Materials (2021) Vol. 11, Iss. 36
Closed Access | Times Cited: 87
Interfaces in all solid state Li-metal batteries: A review on instabilities, stabilization strategies, and scalability
Partha P. Paul, Bor‐Rong Chen, Spencer Langevin, et al.
Energy storage materials (2021) Vol. 45, pp. 969-1001
Open Access | Times Cited: 63
Roadmap of Solid-State Lithium-Organic Batteries toward 500 Wh kg–1
Lihong Zhao, Alae Eddine Lakraychi, Zhaoyang Chen, et al.
ACS Energy Letters (2021) Vol. 6, Iss. 9, pp. 3287-3306
Open Access | Times Cited: 56
Machine learning-assisted multi-objective optimization of battery manufacturing from synthetic data generated by physics-based simulations
Marc Duquesnoy, Chaoyue Liu, Diana Zapata Dominguez, et al.
Energy storage materials (2022) Vol. 56, pp. 50-61
Open Access | Times Cited: 55
Toward High Rate Performance Solid‐State Batteries
Dongsoo Lee, Hyungjun Lee, Taeseup Song, et al.
Advanced Energy Materials (2022) Vol. 12, Iss. 27
Closed Access | Times Cited: 49
Machine learning promotes the development of all-solid-state batteries
Yong Qiu, Xu Zhang, Yun Tian, et al.
Chinese Journal of Structural Chemistry (2023) Vol. 42, Iss. 9, pp. 100118-100118
Closed Access | Times Cited: 23
Advances of machine learning in materials science: Ideas and techniques
Sue Sin Chong, Yi Sheng Ng, Hui‐Qiong Wang, et al.
Frontiers of Physics (2023) Vol. 19, Iss. 1
Open Access | Times Cited: 21
Page 1 - Next Page

Scroll to top