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:

The future of chemistry is language
Andrew Dickson White
Nature Reviews Chemistry (2023) Vol. 7, Iss. 7, pp. 457-458
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon
Kevin Maik Jablonka, Qianxiang Ai, Alexander Al-Feghali, et al.
Digital Discovery (2023) Vol. 2, Iss. 5, pp. 1233-1250
Open Access | Times Cited: 109

A GPT‐4 Reticular Chemist for Guiding MOF Discovery**
Zhiling Zheng, Zichao Rong, Nakul Rampal, et al.
Angewandte Chemie International Edition (2023) Vol. 62, Iss. 46
Open Access | Times Cited: 71

Nanozymes for nanohealthcare
Yihong Zhang, Gen Wei, W. Liu, et al.
Nature Reviews Methods Primers (2024) Vol. 4, Iss. 1
Closed Access | Times Cited: 50

Shaping the Water-Harvesting Behavior of Metal–Organic Frameworks Aided by Fine-Tuned GPT Models
Zhiling Zheng, Ali H. Alawadhi, Saumil Chheda, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 51, pp. 28284-28295
Open Access | Times Cited: 46

Image and data mining in reticular chemistry powered by GPT-4V
Zhiling Zheng, Zhiguo He, Omar Khattab, et al.
Digital Discovery (2024) Vol. 3, Iss. 3, pp. 491-501
Open Access | Times Cited: 16

Techniques for supercharging academic writing with generative AI
Zhicheng Lin
Nature Biomedical Engineering (2024)
Closed Access | Times Cited: 15

Large language models for reticular chemistry
Zhiling Zheng, Nakul Rampal, Theo Jaffrelot Inizan, et al.
Nature Reviews Materials (2025)
Closed Access | Times Cited: 1

Transformer-Based Molecular Generative Model for Antiviral Drug Design
Jiashun Mao, Jianmin Wang, Amir Zeb, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2733-2745
Open Access | Times Cited: 31

Evaluation of Open-Source Large Language Models for Metal–Organic Frameworks Research
Xuefeng Bai, Ya-Bo Xie, Xin Zhang, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 13, pp. 4958-4965
Closed Access | Times Cited: 12

Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective
Jiatong Li, Yunqing Liu, Wenqi Fan, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 6071-6083
Open Access | Times Cited: 12

The Potential of Neural Network Potentials
Timothy T. Duignan
ACS Physical Chemistry Au (2024) Vol. 4, Iss. 3, pp. 232-241
Open Access | Times Cited: 11

ChatGPT Helped Me Build a Chemistry App, and Here’s How You Can Make One Also
Taskeen Hasrod, Yannick Nuapia, Hlanganani Tutu
Journal of Chemical Education (2024) Vol. 101, Iss. 2, pp. 653-660
Closed Access | Times Cited: 9

Preventing the Immense Increase in the Life-Cycle Energy and Carbon Footprints of LLM-Powered Intelligent Chatbots
Peng Jiang, Christian Sonne, Wangliang Li, et al.
Engineering (2024) Vol. 40, pp. 202-210
Open Access | Times Cited: 9

Large language models for life cycle assessments: Opportunities, challenges, and risks
Nathan Preuss, Abdulelah S. Alshehri, Fengqi You
Journal of Cleaner Production (2024) Vol. 466, pp. 142824-142824
Closed Access | Times Cited: 7

14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon
Kevin Maik Jablonka, Qianxiang Ai, Alexander Al-Feghali, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 18

Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective
Jiatong Li, Yunqing Liu, Wenqi Fan, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 17

The Future of Molecular Studies through the Lens of Large Language Models
Jinlu Zhang, Yin Fang, Xin Shao, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 3, pp. 563-566
Closed Access | Times Cited: 6

Connecting chemical worlds for a sustainable future
Fernando Gomollón‐Bel, Javier García–Martínez
Chemical Science (2024) Vol. 15, Iss. 14, pp. 5056-5060
Open Access | Times Cited: 4

Towards Education 4.0: The role of Large Language Models as virtual tutors in chemical engineering
Fiammetta Caccavale, Carina L. Gargalo, Krist V. Gernaey, et al.
Education for Chemical Engineers (2024) Vol. 49, pp. 1-11
Open Access | Times Cited: 4

A Review of Large Language Models and Autonomous Agents in Chemistry
Mayk Caldas Ramos, Christopher J. Collison, Andrew Dickson White
Chemical Science (2024)
Open Access | Times Cited: 4

A GPT‐4 Reticular Chemist for Guiding MOF Discovery**
Zhiling Zheng, Zichao Rong, Nakul Rampal, et al.
Angewandte Chemie (2023) Vol. 135, Iss. 46
Open Access | Times Cited: 8

Unleashing the power of AI in science-key considerations for materials data preparation
Yongchao Lu, Hong Wang, Lanting Zhang, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2

Generative AI in drug discovery and development: the next revolution of drug discovery and development would be directed by generative AI
Chiranjib Chakraborty, Manojit Bhattacharya, Soumen Pal, et al.
Annals of Medicine and Surgery (2024) Vol. 86, Iss. 10, pp. 6340-6343
Open Access | Times Cited: 2

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