Artificial intelligence resolves transboundary water conflicts under climate uncertainty

Changgao Cheng, Qinghua Pang, Yan Tang, Qin Zhou, Zhou Fang, Shi Xue, Yuan Zhuang, Mingjiang Deng

Open source

DOI
10.1016/j.watres.2026.125809
Published
2026-06
Container
Water Research
Publisher
Elsevier BV
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.watres.2026.125809,
  title = {Artificial intelligence resolves transboundary water conflicts under climate uncertainty},
  author = {Changgao Cheng and Qinghua Pang and Yan Tang and Qin Zhou and Zhou Fang and Shi Xue and Yuan Zhuang and Mingjiang Deng},
  year = {2026},
  journal = {Water Research},
  doi = {10.1016/j.watres.2026.125809},
  url = {https://doi.org/10.1016/j.watres.2026.125809}
}

RIS

TY  - JOUR
TI  - Artificial intelligence resolves transboundary water conflicts under climate uncertainty
AU  - Changgao Cheng
AU  - Qinghua Pang
AU  - Yan Tang
AU  - Qin Zhou
AU  - Zhou Fang
AU  - Shi Xue
AU  - Yuan Zhuang
AU  - Mingjiang Deng
PY  - 2026
JO  - Water Research
DO  - 10.1016/j.watres.2026.125809
UR  - https://doi.org/10.1016/j.watres.2026.125809
ER  - 

APA

Cheng, C., Pang, Q., Tang, Y., Zhou, Q., Fang, Z., Xue, S., Zhuang, Y., & Deng, M. (2026). Artificial intelligence resolves transboundary water conflicts under climate uncertainty. Water Research. https://doi.org/10.1016/j.watres.2026.125809

Source records