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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 impact of artificial intelligence on firms’ energy and resource efficiency: Empirical evidence from China
Juan Li, Shaoqi Ma, Yi Qu, et al.
Resources Policy (2023) Vol. 82, pp. 103507-103507
Closed Access | Times Cited: 94

Showing 1-25 of 94 citing articles:

Does artificial intelligence promote energy transition and curb carbon emissions? The role of trade openness
Qiang Wang, Fuyu Zhang, Rongrong Li, et al.
Journal of Cleaner Production (2024) Vol. 447, pp. 141298-141298
Closed Access | Times Cited: 152
Does artificial intelligence promote green innovation? An assessment based on direct, indirect, spillover, and heterogeneity effects
Qiang Wang, Tingting Sun, Rongrong Li
Energy & Environment (2023)
Closed Access | Times Cited: 94
Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy
Meng Qin, Wei Hu, Xinzhou Qi, et al.
Energy Economics (2024) Vol. 131, pp. 107403-107403
Closed Access | Times Cited: 43
How does artificial intelligence promote renewable energy development? The role of climate finance
Congyu Zhao, Kangyin Dong, Kun Wang, et al.
Energy Economics (2024) Vol. 133, pp. 107493-107493
Open Access | Times Cited: 41
Artificial intelligence, green technological progress, energy conservation, and carbon emission reduction in China: An examination based on dynamic spatial Durbin modeling
Wangni Zhou, Yuqin Zhang, Xuekun Li
Journal of Cleaner Production (2024) Vol. 446, pp. 141142-141142
Closed Access | Times Cited: 38
Will artificial intelligence make energy cleaner? Evidence of nonlinearity
Chien‐Chiang Lee, Jingyang Yan
Applied Energy (2024) Vol. 363, pp. 123081-123081
Closed Access | Times Cited: 35
Artificial intelligence and sustainable development during urbanization: Perspectives on AI R&D innovation, AI infrastructure, and AI market advantage
Qiang Wang, Fuyu Zhang, Rongrong Li
Sustainable Development (2024)
Open Access | Times Cited: 29
Artificial intelligence and carbon emissions inequality: Evidence from industrial robot application
Congyu Zhao, Yongjian Li, Zhengguang Liu, et al.
Journal of Cleaner Production (2024) Vol. 438, pp. 140817-140817
Closed Access | Times Cited: 26
Can digital technology innovation promote total factor energy efficiency? Firm-level evidence from China
Juan Lu, He Li
Energy (2024) Vol. 293, pp. 130682-130682
Closed Access | Times Cited: 23
How does industrial intelligence affect total-factor energy productivity? Evidence from China’s manufacturing industry
Ruting Huang, Zhiyang Shen, Xin Yao
Computers & Industrial Engineering (2024) Vol. 188, pp. 109901-109901
Closed Access | Times Cited: 22
Artificial intelligence-driven transformations in low-carbon energy structure: Evidence from China
Weiliang Tao, Shimei Weng, Xueli Chen, et al.
Energy Economics (2024) Vol. 136, pp. 107719-107719
Closed Access | Times Cited: 20
Unveiling the role of artificial intelligence in influencing enterprise environmental performance: Evidence from China
Kai Cheng, Zhuiqiao Jin, Guo Wu
Journal of Cleaner Production (2024) Vol. 440, pp. 140934-140934
Closed Access | Times Cited: 18
The nexus among artificial intelligence, supply chain and energy sustainability: A time-varying analysis
Yufei Zhong, Xuesheng Chen, Zhixian Wang, et al.
Energy Economics (2024) Vol. 132, pp. 107479-107479
Closed Access | Times Cited: 17
Intelligent-Driven Resilience Enhancement: Nonlinear Impacts and Spatial Spillover Effects of AI Penetration on China’s NEV Industry Chain
Qiong Yang, Haibin Liu
Technology in Society (2025), pp. 102827-102827
Closed Access | Times Cited: 2
How does the transition policy of mineral resource-exhausted cities affect the process of industrial upgrading? New empirical evidence from China
Qiong Shen, Yuxi Pan, Xiangxu Meng, et al.
Resources Policy (2023) Vol. 86, pp. 104226-104226
Closed Access | Times Cited: 29
The asymmetric impacts of artificial intelligence and oil shocks on clean energy industries by considering COVID-19
Hongwei Zhang, Beixin Fang, Pengwei He, et al.
Energy (2024) Vol. 291, pp. 130197-130197
Closed Access | Times Cited: 15
Is artificial intelligence technology innovation a recipe for low-carbon energy transition? A global perspective
Senmiao Yang, Jianda Wang, Kangyin Dong, et al.
Energy (2024) Vol. 300, pp. 131539-131539
Closed Access | Times Cited: 14
An inquiry into the nexus between artificial intelligence and energy poverty in the light of global evidence
Tao Ding, Hao Li, Liu Li, et al.
Energy Economics (2024) Vol. 136, pp. 107748-107748
Closed Access | Times Cited: 14
Green finance: The catalyst for artificial intelligence and energy efficiency in Chinese urban sustainable development
Ming Zeng, Weike Zhang
Energy Economics (2024) Vol. 139, pp. 107883-107883
Closed Access | Times Cited: 14
The Impact of Artificial Intelligence Development on Urban Energy Efficiency—Based on the Perspective of Smart City Policy
Xiangyi Li, Qing Wang, Ying Tang
Sustainability (2024) Vol. 16, Iss. 8, pp. 3200-3200
Open Access | Times Cited: 11
The impact of digital technology innovation on green total-factor energy efficiency in China: Does economic development matter?
Ru-Yu Xu, Ke-Liang Wang, Zhuang Miao
Energy Policy (2024) Vol. 194, pp. 114342-114342
Closed Access | Times Cited: 10
Natural resource and energy efficiency in BRICS countries: Can green innovation capabilities really change the game?
Yiqu Yang, Ghulam Subhani, Sakina Sakina, et al.
Gondwana Research (2024)
Closed Access | Times Cited: 9
Automating Efficiency: The Impact of Industrial Robots on Labor Investment in China
Yunxin Liu, Yuqiang Cao, Meiting Lu, et al.
Economic Modelling (2024) Vol. 140, pp. 106849-106849
Closed Access | Times Cited: 9
Does artificial intelligence reduce corporate energy consumption? New evidence from China
Yunyun FU, Yongchang Shen, Malin SONG, et al.
Economic Analysis and Policy (2024) Vol. 83, pp. 548-561
Closed Access | Times Cited: 8
Investigating the asymmetric impact of artificial intelligence on renewable energy under climate policy uncertainty
Lihui Tian, Xin Li, Cheng-Wen Lee, et al.
Energy Economics (2024) Vol. 137, pp. 107809-107809
Closed Access | Times Cited: 8
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