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:

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: 52

Showing 1-25 of 52 citing articles:

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: 38
Molecular Machine Learning for Chemical Catalysis: Prospects and Challenges
Sukriti Singh, Raghavan B. Sunoj
Accounts of Chemical Research (2023) Vol. 56, Iss. 3, pp. 402-412
Closed Access | Times Cited: 32
Exploring the Structural, Dynamic, and Functional Properties of Metal‐Organic Frameworks through Molecular Modeling
Filip Formalik, Kaihang Shi, Faramarz Joodaki, et al.
Advanced Functional Materials (2023) Vol. 34, Iss. 43
Open Access | Times Cited: 32
Computational Evolution Of New Catalysts For The Morita–Baylis–Hillman Reaction**
Julius Seumer, Jonathan Kirschner Solberg Hansen, Mogens Brøndsted Nielsen, et al.
Angewandte Chemie International Edition (2023) Vol. 62, Iss. 18
Open Access | Times Cited: 28
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: 12
Automated Transition Metal Catalysts Discovery and Optimisation with AI and Machine Learning
S. Macé, Yingjian Xu, Bao N. Nguyen
ChemCatChem (2024) Vol. 16, Iss. 10
Open Access | Times Cited: 9
LigandDiff: de Novo Ligand Design for 3D Transition Metal Complexes with Diffusion Models
H.-Q. Jin, Kenneth M. Merz
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 10, pp. 4377-4384
Open Access | Times Cited: 9
Computational Discovery of Stable Metal–Organic Frameworks for Methane-to-Methanol Catalysis
Husain Adamji, Aditya Nandy, Ilia Kevlishvili, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 26, pp. 14365-14378
Closed Access | Times Cited: 21
Cyclic iron tetra N-heterocyclic carbenes: synthesis, properties, reactivity, and catalysis
Tim P. Schlachta, Fritz E. Kühn
Chemical Society Reviews (2023) Vol. 52, Iss. 6, pp. 2238-2277
Closed Access | Times Cited: 20
Transition metal oxide complexes as molecular catalysts for selective methane to methanol transformation: any prospects or time to retire?
Emily E. Claveau, Safaa Sader, Benjamin A. Jackson, et al.
Physical Chemistry Chemical Physics (2023) Vol. 25, Iss. 7, pp. 5313-5326
Closed Access | Times Cited: 19
Computational Discovery of Codoped Single-Atom Catalysts for Methane-to-Methanol Conversion
Haojun Jia, Chenru Duan, Ilia Kevlishvili, et al.
ACS Catalysis (2024) Vol. 14, Iss. 5, pp. 2992-3005
Closed Access | Times Cited: 5
CH3 radical-mediated direct methane to methanol conversion over CuO supported on rutile oxides
Huixian Liu, Yuyao Qin, Liwen Li, et al.
Journal of Catalysis (2024) Vol. 431, pp. 115388-115388
Closed Access | Times Cited: 5
Beyond predefined ligand libraries: a genetic algorithm approach for de novo discovery of catalysts for the Suzuki coupling reactions
Julius Seumer, Jan H. Jensen
PeerJ Physical Chemistry (2025) Vol. 7, pp. e34-e34
Open Access
Mechanistic Insights into the Direct Partial Oxidation of Methane to Methanol Catalyzed by Single-Atom Transition Metals on Hydroxyapatite
Albert F. B. Bittencourt, Pedro Ivo R. Moraes, Juarez L. F. Da Silva
ACS Omega (2025) Vol. 10, Iss. 4, pp. 3868-3877
Open Access
Computational Exploration of Codoped Fe and Ru Single-Atom Catalysts for the Oxygen Reduction Reaction
Haojun Jia, Chenru Duan, Gianmarco Terrones, et al.
(2025)
Closed Access
Using experimental data in computationally guided rational design of inorganic materials with machine learning
Heather J. Kulik
Journal of materials research/Pratt's guide to venture capital sources (2025)
Open Access
Automated de Novo Design of Olefin Metathesis Catalysts: Computational and Experimental Analysis of a Simple Thermodynamic Design Criterion
Marco Foscato, Giovanni Occhipinti, Sondre H. Hopen Eliasson, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 2, pp. 412-424
Open Access | Times Cited: 3
Active Learning Exploration of Transition-Metal Complexes to Discover Method-Insensitive and Synthetically Accessible Chromophores
Chenru Duan, Aditya Nandy, Gianmarco Terrones, et al.
JACS Au (2022) Vol. 3, Iss. 2, pp. 391-401
Open Access | Times Cited: 13
Theoretical Perspective of Promoting Direct Methane-to-Methanol Conversion at Complex Metal Oxide–Metal Interfaces
Erwei Huang, Ping Liu
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 29, pp. 6556-6563
Closed Access | Times Cited: 7
Large-scale comparison of Fe and Ru polyolefin C–H activation catalysts
Husain Adamji, Ilia Kevlishvili, Aditya Nandy, et al.
Journal of Catalysis (2024) Vol. 431, pp. 115361-115361
Closed Access | Times Cited: 2
Expanding the Applicability Domain of Machine Learning Model for Advancements in Electrochemical Material Discovery
Kajjana Boonpalit, Jiramet Kinchagawat, Supawadee Namuangruk‬
ChemElectroChem (2024) Vol. 11, Iss. 10
Open Access | Times Cited: 2
Machine Learning Models Predict Calculation Outcomes with the Transferability Necessary for Computational Catalysis
Chenru Duan, Aditya Nandy, Husain Adamji, et al.
Journal of Chemical Theory and Computation (2022) Vol. 18, Iss. 7, pp. 4282-4292
Open Access | Times Cited: 12
Density Matrix-Based Features as Descriptors for Oxygen Reduction and Evolution Catalysts
Maxim Secor, Alexander V. Soudackov, Sharon Hammes‐Schiffer
The Journal of Physical Chemistry C (2023) Vol. 127, Iss. 31, pp. 15246-15256
Closed Access | Times Cited: 5
Screening of Cu-Based Catalysts for Selective Methane to Methanol Conversion
Erwei Huang, Ping Liu
The Journal of Physical Chemistry C (2024) Vol. 128, Iss. 19, pp. 7876-7883
Closed Access | Times Cited: 1
Learning Design Rules for Catalysts Through Computational Chemistry and Machine Learning
Aditya Nandy, Heather J. Kulik
(2024), pp. 513-558
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top