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 in metal-ion battery research: Advancing material prediction, characterization, and status evaluation
Tong Yu, Chunyang Wang, Huicong Yang, et al.
Journal of Energy Chemistry (2023) Vol. 90, pp. 191-204
Closed Access | Times Cited: 14
Tong Yu, Chunyang Wang, Huicong Yang, et al.
Journal of Energy Chemistry (2023) Vol. 90, pp. 191-204
Closed Access | Times Cited: 14
Showing 14 citing articles:
Advanced electrolytes for high-performance aqueous zinc-ion batteries
Jie Wei, Pengbo Zhang, Jingjie Sun, et al.
Chemical Society Reviews (2024)
Closed Access | Times Cited: 13
Jie Wei, Pengbo Zhang, Jingjie Sun, et al.
Chemical Society Reviews (2024)
Closed Access | Times Cited: 13
Heterogeneous‐Structured Molybdenum Diboride as a Novel and Promising Anode for Lithium‐Ion Batteries
Yuxiang Chen, Ying Liang, Chuancong Zhou, et al.
Small (2024) Vol. 20, Iss. 32
Closed Access | Times Cited: 4
Yuxiang Chen, Ying Liang, Chuancong Zhou, et al.
Small (2024) Vol. 20, Iss. 32
Closed Access | Times Cited: 4
Deep learning-assisted research on high-performance electrolyte for zinc-ion capacitors
Jianing lv, Nengze Wang, Xiaohe Ren, et al.
Journal of Power Sources (2024) Vol. 621, pp. 235303-235303
Closed Access | Times Cited: 2
Jianing lv, Nengze Wang, Xiaohe Ren, et al.
Journal of Power Sources (2024) Vol. 621, pp. 235303-235303
Closed Access | Times Cited: 2
Single-atom catalysts supported on graphene/electride heterostructures for the enhanced sulfur reduction reaction in lithium-sulfur batteries
Siyun Qi, Chuanchuan Li, Gang Chen, et al.
Journal of Energy Chemistry (2024) Vol. 97, pp. 738-746
Closed Access | Times Cited: 1
Siyun Qi, Chuanchuan Li, Gang Chen, et al.
Journal of Energy Chemistry (2024) Vol. 97, pp. 738-746
Closed Access | Times Cited: 1
Compressive strength prediction of cement base under sulfate attack by machine learning approach
Mingliang Zhang, Zewen Gu, Yuanhao Zhao, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e03652-e03652
Open Access | Times Cited: 1
Mingliang Zhang, Zewen Gu, Yuanhao Zhao, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e03652-e03652
Open Access | Times Cited: 1
Predicting battery applications for complex materials based on chemical composition and machine learning
Zixin Zhuang, Amanda S. Barnard
Computational Materials Science (2024) Vol. 246, pp. 113344-113344
Open Access | Times Cited: 1
Zixin Zhuang, Amanda S. Barnard
Computational Materials Science (2024) Vol. 246, pp. 113344-113344
Open Access | Times Cited: 1
Advances in the application of first principles calculations to phosphate-based NASICON battery materials
Zhongyi Cui, Shilong Sun, Gang Ning, et al.
Journal of Materials Chemistry A (2024)
Closed Access | Times Cited: 1
Zhongyi Cui, Shilong Sun, Gang Ning, et al.
Journal of Materials Chemistry A (2024)
Closed Access | Times Cited: 1
Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review
Ivan Malashin, D. A. Martysyuk, В С Тынченко, et al.
Polymers (2024) Vol. 16, Iss. 23, pp. 3368-3368
Open Access | Times Cited: 1
Ivan Malashin, D. A. Martysyuk, В С Тынченко, et al.
Polymers (2024) Vol. 16, Iss. 23, pp. 3368-3368
Open Access | Times Cited: 1
Machine Learning and Density Functional Theory for Catalyst and Process Design in Hydrogen Production
Xingpeng Tian, S. Zhou, Hongqing Hao, et al.
Deleted Journal (2024) Vol. 1, Iss. 2, pp. 150-166
Closed Access | Times Cited: 1
Xingpeng Tian, S. Zhou, Hongqing Hao, et al.
Deleted Journal (2024) Vol. 1, Iss. 2, pp. 150-166
Closed Access | Times Cited: 1
Machine learning approaches for predicting impact sensitivity and detonation performances of energetic materials
Weihong Liu, Qi‐Jun Liu, Fusheng Liu, et al.
Journal of Energy Chemistry (2024) Vol. 102, pp. 161-171
Closed Access
Weihong Liu, Qi‐Jun Liu, Fusheng Liu, et al.
Journal of Energy Chemistry (2024) Vol. 102, pp. 161-171
Closed Access
Structural safety risk prediction method for terminal building steel roof construction considering spatial and temporal variations
Zhansheng Liu, Chengkuan Ji, Guoliang Shi, et al.
Journal of Constructional Steel Research (2024) Vol. 224, pp. 109126-109126
Closed Access
Zhansheng Liu, Chengkuan Ji, Guoliang Shi, et al.
Journal of Constructional Steel Research (2024) Vol. 224, pp. 109126-109126
Closed Access
Surrogate optimization of lithium-ion battery coating process
Seung-Kwon Seo, H.S. Kim, Amin Samadi, et al.
Journal of Cleaner Production (2024) Vol. 447, pp. 141064-141064
Closed Access
Seung-Kwon Seo, H.S. Kim, Amin Samadi, et al.
Journal of Cleaner Production (2024) Vol. 447, pp. 141064-141064
Closed Access
Property Prediction for Complex Compounds Using Structure-Free Mendeleev Encoding and Machine Learning
Zixin Zhuang, Amanda S. Barnard
Journal of Chemical Information and Modeling (2024)
Closed Access
Zixin Zhuang, Amanda S. Barnard
Journal of Chemical Information and Modeling (2024)
Closed Access
Data driven design of dyes with high dielectric constant for efficient optoelectronics
Laraib Kiran, Muhammad Hammad Ijaz, Z.I. Zaki, et al.
Journal of Solid State Chemistry (2024), pp. 125169-125169
Closed Access
Laraib Kiran, Muhammad Hammad Ijaz, Z.I. Zaki, et al.
Journal of Solid State Chemistry (2024), pp. 125169-125169
Closed Access
