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:

Computational Discovery of Transition-metal Complexes: From High-throughput Screening to Machine Learning
Aditya Nandy, Chenru Duan, Michael G. Taylor, et al.
Chemical Reviews (2021) Vol. 121, Iss. 16, pp. 9927-10000
Closed Access | Times Cited: 197

Showing 1-25 of 197 citing articles:

SELFIES and the future of molecular string representations
Mario Krenn, Qianxiang Ai, Senja Barthel, et al.
Patterns (2022) Vol. 3, Iss. 10, pp. 100588-100588
Open Access | Times Cited: 144

The 2022 solar fuels roadmap
Gideon Segev, Jakob Kibsgaard, Christopher Hahn, et al.
Journal of Physics D Applied Physics (2022) Vol. 55, Iss. 32, pp. 323003-323003
Open Access | Times Cited: 90

Predictive chemistry: machine learning for reaction deployment, reaction development, and reaction discovery
Zhengkai Tu, Thijs Stuyver, Connor W. Coley
Chemical Science (2022) Vol. 14, Iss. 2, pp. 226-244
Open Access | Times Cited: 66

Machine Learning-Assisted Low-Dimensional Electrocatalysts Design for Hydrogen Evolution Reaction
Jin Li, Naiteng Wu, Jian Zhang, et al.
Nano-Micro Letters (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 56

Synthesis optimization and adsorption modeling of biochar for pollutant removal via machine learning
Wentao Zhang, Ronghua Chen, Jie Li, et al.
Biochar (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 42

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: 36

Diversifying Databases of Metal Organic Frameworks for High-Throughput Computational Screening
Sauradeep Majumdar, Seyed Mohamad Moosavi, Kevin Maik Jablonka, et al.
ACS Applied Materials & Interfaces (2021) Vol. 13, Iss. 51, pp. 61004-61014
Open Access | Times Cited: 82

Data-Driven Multi-Objective Optimization Tactics for Catalytic Asymmetric Reactions Using Bisphosphine Ligands
Jordan J. Dotson, Lucy van Dijk, Jacob C. Timmerman, et al.
Journal of the American Chemical Society (2022) Vol. 145, Iss. 1, pp. 110-121
Open Access | Times Cited: 61

Autonomous Reaction Network Exploration in Homogeneous and Heterogeneous Catalysis
Miguel Steiner, Markus Reiher
Topics in Catalysis (2022) Vol. 65, Iss. 1-4, pp. 6-39
Open Access | Times Cited: 51

New Strategies for Direct Methane-to-Methanol Conversion from Active Learning Exploration of 16 Million Catalysts
Aditya Nandy, Chenru Duan, Conrad Goffinet, et al.
JACS Au (2022) Vol. 2, Iss. 5, pp. 1200-1213
Open Access | Times Cited: 51

Machine learning of material properties: Predictive and interpretable multilinear models
Alice Allen, Alexandre Tkatchenko
Science Advances (2022) Vol. 8, Iss. 18
Open Access | Times Cited: 51

Unlocking the computational design of metal–organic cages
Andrew Tarzia, Kim E. Jelfs
Chemical Communications (2022) Vol. 58, Iss. 23, pp. 3717-3730
Open Access | Times Cited: 49

Unraveling the Contributions to Spin–Lattice Relaxation in Kramers Single-Molecule Magnets
Sourav Mondal, Alessandro Lunghi
Journal of the American Chemical Society (2022) Vol. 144, Iss. 50, pp. 22965-22975
Open Access | Times Cited: 41

Computational design of magnetic molecules and their environment using quantum chemistry, machine learning and multiscale simulations
Alessandro Lunghi, Stefano Sanvito
Nature Reviews Chemistry (2022) Vol. 6, Iss. 11, pp. 761-781
Open Access | Times Cited: 40

Using Computational Chemistry To Reveal Nature’s Blueprints for Single-Site Catalysis of C–H Activation
Aditya Nandy, Husain Adamji, David W. Kastner, et al.
ACS Catalysis (2022) Vol. 12, Iss. 15, pp. 9281-9306
Closed Access | Times Cited: 37

An overview of advancement of organoruthenium(II) complexes as prospective anticancer agents
Masrat Bashir, Imtiyaz Ahmad Mantoo, Farukh Arjmand, et al.
Coordination Chemistry Reviews (2023) Vol. 487, pp. 215169-215169
Closed Access | Times Cited: 32

Open-Source Machine Learning in Computational Chemistry
Alexander Hagg, Karl N. Kirschner
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 15, pp. 4505-4532
Open Access | Times Cited: 23

MatGPT: A Vane of Materials Informatics from Past, Present, to Future
Zhilong Wang, An Chen, Kehao Tao, et al.
Advanced Materials (2023) Vol. 36, Iss. 6
Closed Access | Times Cited: 23

Sulfonamide derived Schiff base Mn (II), Co (II), and Ni (II) complexes: Crystal structures, density functional theory and Hirshfeld surface analysis
Shehnaz, Waseeq Ahmad Siddiqui, Adnan Ashraf, et al.
Applied Organometallic Chemistry (2023) Vol. 37, Iss. 6
Closed Access | Times Cited: 21

Deep learning metal complex properties with natural quantum graphs
Hannes Kneiding, Ruslan Lukin, Lucas Lang, et al.
Digital Discovery (2023) Vol. 2, Iss. 3, pp. 618-633
Open Access | Times Cited: 21

Directional multiobjective optimization of metal complexes at the billion-system scale
Hannes Kneiding, Ainara Nova, David Balcells
Nature Computational Science (2024) Vol. 4, Iss. 4, pp. 263-273
Open Access | Times Cited: 11

Machine learning for CO2 capture and conversion: A review
Sung Eun Jerng, Yang Jeong Park, Ju Li
Energy and AI (2024) Vol. 16, pp. 100361-100361
Open Access | Times Cited: 10

Paving the road towards automated homogeneous catalyst design
Adarsh V. Kalikadien, A.H. Mirza, Aydin Najl Hossaini, et al.
ChemPlusChem (2024) Vol. 89, Iss. 7
Open Access | Times Cited: 9

From Characterization to Discovery: Artificial Intelligence, Machine Learning and High-Throughput Experiments for Heterogeneous Catalyst Design
Jorge Benavides-Hernández, Franck Dumeignil
ACS Catalysis (2024) Vol. 14, Iss. 15, pp. 11749-11779
Closed Access | Times Cited: 9

Metal–insulator–semiconductor photoelectrodes for enhanced photoelectrochemical water splitting
Shice Wei, Xuewen Xia, Shuai Bi, et al.
Chemical Society Reviews (2024) Vol. 53, Iss. 13, pp. 6860-6916
Closed Access | Times Cited: 8

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