
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:
ChatGPT in Hydrology and Earth Sciences: Opportunities, Prospects, and Concerns
Ehsan Foroumandi, Hamid Moradkhani, Xavier Sánchez‐Vila, et al.
Water Resources Research (2023) Vol. 59, Iss. 10
Open Access | Times Cited: 30
Ehsan Foroumandi, Hamid Moradkhani, Xavier Sánchez‐Vila, et al.
Water Resources Research (2023) Vol. 59, Iss. 10
Open Access | Times Cited: 30
Showing 1-25 of 30 citing articles:
Roles and Challenges of ChatGPT and Similar Generative Artificial Intelligence for Achieving the Sustainable Development Goals (SDGs)
Nitin Liladhar Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 49
Nitin Liladhar Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 49
Artificial intelligence for geoscience: Progress, challenges and perspectives
Tianjie Zhao, Sheng Wang, Chaojun Ouyang, et al.
The Innovation (2024) Vol. 5, Iss. 5, pp. 100691-100691
Open Access | Times Cited: 40
Tianjie Zhao, Sheng Wang, Chaojun Ouyang, et al.
The Innovation (2024) Vol. 5, Iss. 5, pp. 100691-100691
Open Access | Times Cited: 40
ChatGPT in finance: Applications, challenges, and solutions
Muhammad Salar Khan, Hamza Umer
Heliyon (2024) Vol. 10, Iss. 2, pp. e24890-e24890
Open Access | Times Cited: 27
Muhammad Salar Khan, Hamza Umer
Heliyon (2024) Vol. 10, Iss. 2, pp. e24890-e24890
Open Access | Times Cited: 27
Empirical assessment of ChatGPT’s answering capabilities in natural science and engineering
Lukas Schulze Balhorn, Jana M. Weber, Stefan Buijsman, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 14
Lukas Schulze Balhorn, Jana M. Weber, Stefan Buijsman, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 14
How effective is twitter (X) social media data for urban flood management?
Shan‐e‐hyder Soomro, Muhammad Waseem Boota, Haider M. Zwain, et al.
Journal of Hydrology (2024) Vol. 634, pp. 131129-131129
Closed Access | Times Cited: 10
Shan‐e‐hyder Soomro, Muhammad Waseem Boota, Haider M. Zwain, et al.
Journal of Hydrology (2024) Vol. 634, pp. 131129-131129
Closed Access | Times Cited: 10
Making Waves: Towards data-centric water engineering
Guangtao Fu, Dragan Savić, David Butler
Water Research (2024) Vol. 256, pp. 121585-121585
Open Access | Times Cited: 7
Guangtao Fu, Dragan Savić, David Butler
Water Research (2024) Vol. 256, pp. 121585-121585
Open Access | Times Cited: 7
Transforming the Civil Engineering Sector with Generative Artificial Intelligence, such as ChatGPT or Bard
Nitin Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 5
Nitin Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 5
Toward Automated Scientific Discovery in Hydrology: The Opportunities and Dangers of AI Augmented Research Frameworks
Darri Eythorsson, Martyn Clark
Hydrological Processes (2025) Vol. 39, Iss. 1
Open Access
Darri Eythorsson, Martyn Clark
Hydrological Processes (2025) Vol. 39, Iss. 1
Open Access
Utilization of Generative Artificial Intelligence in Geotechnical and Geoenvironmental Engineering
Krishna R. Reddy, Jagadeesh Kumar Janga
Lecture notes in civil engineering (2025), pp. 241-267
Closed Access
Krishna R. Reddy, Jagadeesh Kumar Janga
Lecture notes in civil engineering (2025), pp. 241-267
Closed Access
Can Large Language Models Effectively Reason about Adverse Weather Conditions?
Nima Zafarmomen, Vidya Samadi
Environmental Modelling & Software (2025), pp. 106421-106421
Open Access
Nima Zafarmomen, Vidya Samadi
Environmental Modelling & Software (2025), pp. 106421-106421
Open Access
Protocols for Water and Environmental Modeling Using Machine Learning in California
Minxue He, Prabhjot Sandhu, Peyman Namadi, et al.
Hydrology (2025) Vol. 12, Iss. 3, pp. 59-59
Open Access
Minxue He, Prabhjot Sandhu, Peyman Namadi, et al.
Hydrology (2025) Vol. 12, Iss. 3, pp. 59-59
Open Access
Groundwater-Surface water interactions research: Past trends and future directions
Dylan J. Irvine, Kamini Singha, Barret L. Kurylyk, et al.
Journal of Hydrology (2024), pp. 132061-132061
Open Access | Times Cited: 4
Dylan J. Irvine, Kamini Singha, Barret L. Kurylyk, et al.
Journal of Hydrology (2024), pp. 132061-132061
Open Access | Times Cited: 4
Opportunities and limitations of the ChatGPT Advanced Data Analysis plugin for hydrological analyses
Dylan J. Irvine, Landon J. S. Halloran, Philip Brunner
Hydrological Processes (2023) Vol. 37, Iss. 10
Open Access | Times Cited: 9
Dylan J. Irvine, Landon J. S. Halloran, Philip Brunner
Hydrological Processes (2023) Vol. 37, Iss. 10
Open Access | Times Cited: 9
A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics
Babak Zolghadr‐Asli, Ahmad Ferdowsi, Dragan Savić
Cambridge Prisms Water (2024) Vol. 2
Open Access | Times Cited: 2
Babak Zolghadr‐Asli, Ahmad Ferdowsi, Dragan Savić
Cambridge Prisms Water (2024) Vol. 2
Open Access | Times Cited: 2
Geosystems risk and uncertainty: The application of ChatGPT with targeted prompting
Seyed Kourosh Mahjour, Ramin Soltanmohammadi, Ehsan Heidaryan, et al.
Geoenergy Science and Engineering (2024) Vol. 238, pp. 212889-212889
Open Access | Times Cited: 2
Seyed Kourosh Mahjour, Ramin Soltanmohammadi, Ehsan Heidaryan, et al.
Geoenergy Science and Engineering (2024) Vol. 238, pp. 212889-212889
Open Access | Times Cited: 2
A paradigm shift in Precambrian research driven by big data
Zhenjie Zhang, Timothy Kusky, Xin-Kun Yang, et al.
Precambrian Research (2023) Vol. 399, pp. 107235-107235
Open Access | Times Cited: 5
Zhenjie Zhang, Timothy Kusky, Xin-Kun Yang, et al.
Precambrian Research (2023) Vol. 399, pp. 107235-107235
Open Access | Times Cited: 5
Decision: A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics — R1/PR6
Babak Zolghadr‐Asli, Ahmad Ferdowsi, Dragan Savić
(2024)
Open Access
Babak Zolghadr‐Asli, Ahmad Ferdowsi, Dragan Savić
(2024)
Open Access
Recommendation: A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics — R0/PR2
Babak Zolghadr‐Asli, Ahmad Ferdowsi, Dragan Savić
(2024)
Open Access
Babak Zolghadr‐Asli, Ahmad Ferdowsi, Dragan Savić
(2024)
Open Access
Decision: A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics — R0/PR3
Babak Zolghadr‐Asli, Ahmad Ferdowsi, Dragan Savić
(2024)
Open Access
Babak Zolghadr‐Asli, Ahmad Ferdowsi, Dragan Savić
(2024)
Open Access
Recommendation: A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics — R1/PR5
Babak Zolghadr‐Asli, Ahmad Ferdowsi, Dragan Savić
(2024)
Open Access
Babak Zolghadr‐Asli, Ahmad Ferdowsi, Dragan Savić
(2024)
Open Access
Author comment: A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics — R1/PR4
Babak Zolghadr‐Asli
(2024)
Open Access
Babak Zolghadr‐Asli
(2024)
Open Access
Geosystems Risk and Uncertainty: The Application of Chatgpt with Targeted Prompting
Seyed Kourosh Mahjour, Ramin Soltanmohammadi, Ehsan Heidaryan, et al.
(2024)
Closed Access
Seyed Kourosh Mahjour, Ramin Soltanmohammadi, Ehsan Heidaryan, et al.
(2024)
Closed Access