Carbon emissions of 5G mobile networks in China
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
XAI helps mitigate the environmental impact of transportation by optimizing route planning, load distribution, and vehicle utilization to minimize emissions and carbon footprint.
“Furthermore, XAI helps mitigate the environmental impact of transportation by optimizing route planning, load distribution, and vehicle utilization to minimize emissions and carbon footprint, promoting sustainable and eco-friendly practices in the transportation and logistics industry (T. [18,95]).”
From Recent Emerging Techniques in Explainable Artificial Intelligence to Enhance the Interpretable and Understanding of AI Models for Human (2025) · cites this paper as [95]
Cites
EnergyPlus: creating a new-generation building energy simulation program
Crawley, D. B., Lawrie, L. K., Winkelmann, F. C., Buhl, W. F., Huang, Y. J., PEDERSEN, C. O., Strand, R. K., Liesen, R. J., Fisher, D. E., Witte, M. J., et al. (2001) · Energy and Buildings · doi:10.1016/s0378-7788(00)00114-6 · Cited by 2,853 · see citing works
Policy: Sustainable development goals for people and planet
Griggs, D., Stafford-Smith, M., Gaffney, O., Rockström, J., Öhman, M., Shyamsundar, P., Steffen, W., Glaser, G., Kanie, N., & Noble, I. (2013) · Nature · doi:10.1038/495305a · Cited by 2,512 · see citing works
Dang, S., Amin, O., Shihada, B., & Alouini, M.-S. (2020) · Nature Electronics · doi:10.1038/s41928-019-0355-6 · Cited by 1,790 · see citing works
Reduced carbon emission estimates from fossil fuel combustion and cement production in China
Liu, Z., Guan, D., Wei, W., Davis, S. J., Ciais, P., Bai, J. F., Peng, S., Zhang, Q., Hubacek, K., Marland, G., et al. (2015) · Nature · doi:10.1038/nature14677 · Cited by 1,659 · see citing works
Self-citationToward green and soft: a 5G perspective
Chih‐Lin, I., Rowell, C. R., Han, S., Xu, Z., Li, G., & Pan, Z. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6736745 · Cited by 746 · see citing works
Radical transformation pathway towards sustainable electricity via evolutionary steps
Bogdanov, D., Farfan, J., Sadovskaia, K., Aghahosseini, A., Child, M., Gulagi, A., Oyewo, A. S., de Souza Noel Simas Barbosa, L., & Breyer, C. (2019) · Nature Communications · doi:10.1038/s41467-019-08855-1 · Cited by 649 · see citing works
Energy-Efficient Base-Stations Sleep-Mode Techniques in Green Cellular Networks: A Survey
Wu, J., Zhang, Y., Moshe Zukerman, D., & YUNG, E. K. N. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2403395 · Cited by 497 · see citing works
Yan, J., Yang, Y. R., Campana, P. E., & He, J. (2019) · Nature Energy · doi:10.1038/s41560-019-0441-z · Cited by 424 · see citing works
Carbon storage and accumulation in United States forest ecosystems
Birdsey, R. A., & States., U. (1992) · doi:10.5962/bhl.title.94267 · Cited by 370 · see citing works
The Role of 5G Technologies in a Smart City: The Case for Intelligent Transportation System
Gohar, A., & Nencioni, G. (2021) · Sustainability · doi:10.3390/su13095188 · Cited by 325 · see citing works
Social-media data for urban sustainability
Ilieva, R. T., & McPhearson, T. (2018) · Nature Sustainability · doi:10.1038/s41893-018-0153-6 · Cited by 291 · see citing works
Exploring the trade-offs between electric heating policy and carbon mitigation in China
Wang, J., Zhong, H., Yang, Z., Wang, M., Kammen, D. M., Liu, Z., Ma, Z., Xia, Q. L., & Kang, C. (2020) · Nature Communications · doi:10.1038/s41467-020-19854-y · Cited by 227 · see citing works
Energy-efficient 5G for a greener future
Chih‐Lin, I., Han, S., & Bian, S. (2020) · Nature Electronics · doi:10.1038/s41928-020-0404-1 · Cited by 216 · see citing works
Traffic-driven power saving in operational 3G cellular networks
Peng, C., Lee, S.-B., Lu, S., Luo, H., & Li, H. (2011) · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · doi:10.1145/2030613.2030628 · Cited by 200 · see citing works
Techno-economic valuation and optimization of integrated photovoltaic/wind energy conversion system
Kaabeche, A., Belhamel, M., & Ibtiouen, R. (2011) · Solar Energy · doi:10.1016/j.solener.2011.06.032 · Cited by 189 · see citing works
Managing China’s coal power plants to address multiple environmental objectives
Peng, W., Wagner, F., Ramana, M. V., Zhai, H., Small, M. J., Dalin, C., Zhang, X., & Mauzerall, D. L. (2018) · Nature Sustainability · doi:10.1038/s41893-018-0174-1 · Cited by 152 · see citing works
Solar powered cellular base stations: current scenario, issues and proposed solutions
Chamola, V., & Sikdar, B. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.7470944 · Cited by 119 · see citing works
The bandwidth bottleneck that is throttling the Internet.
Hecht, J. (2016) · Nature · doi:10.1038/536139a · Cited by 103 · see citing works
Interference-Aware Energy Efficiency Maximization in 5G Ultra-Dense Networks
Yang, C., Li, J., Ni, Q., Anpalagan, A., & Guizani, M. (2016) · IEEE Transactions on Communications · doi:10.1109/tcomm.2016.2638906 · Cited by 102 · see citing works
Taleb, T., Afolabi, I., & Bagaa, M. (2019) · IEEE Network · doi:10.1109/mnet.2018.1800129 · Cited by 88 · see citing works
Carbon emissions and mitigation potentials of 5G base station in China
Ding, Y., Duan, H., Xie, M., et al. (2022) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2022.106339 · Cited by 70 · see citing works
Human Behavior Deep Recognition Architecture for Smart City Applications in the 5G Environment
Dai, C., Liu, X., Lai, J., et al. (2019) · IEEE Network · doi:10.1109/mnet.2019.1800310 · Cited by 67 · see citing works
Powering green digitalization: Evidence from 5G network infrastructure in China
Guo, J., Wang, L., Zhou, W., et al. (2022) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2022.106286 · Cited by 67 · see citing works
Massive metamaterial system-loaded MIMO antenna array for 5G base stations
Al‐Bawri, S. S., Islam, M. T., Islam, M. S., Singh, M. S. J., & Alsaif, H. (2022) · Scientific Reports · doi:10.1038/s41598-022-18329-y · Cited by 57 · see citing works
What can 5G do for healthcare in Africa?
Mwangama, J., Malila, B., Douglas, T. S., & Rangaka, M. X. (2020) · Nature Electronics · doi:10.1038/s41928-019-0362-7 · Cited by 35 · see citing works
Dual‐threshold sleep mode control scheme for small cells
Yu, G., Chen, Q., & Yin, R. (2014) · IET Communications · doi:10.1049/iet-com.2013.0831 · Cited by 31 · see citing works
Solar-power replacement as a solution for hydropower foregone in US dam removals
Waldman, J. R., Sharma, S. K., Afshari, S., & Fekete, B. M. (2019) · Nature Sustainability · doi:10.1038/s41893-019-0362-7 · Cited by 29 · see citing works
Pre-Grant Signaling for Energy-Efficient 5G and Beyond Mobile Devices: Method and Analysis
Rostami, S., Heiska, K., Puchko, O., et al. (2019) · IEEE Transactions on Green Communications and Networking · doi:10.1109/tgcn.2019.2893504 · Cited by 18 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Mathew, D. E., Ebem, D. U., Ikegwu, A. C., Ukeoma, P. E., & Dibiaezue, N. F. (2025) · Neural Processing Letters · doi:10.1007/s11063-025-11732-2 · Cited by 168 · see citing works
- Authors
- Li, T., Yu, L., Ma, Y., Duan, T., Huang, W., Zhou, Y., Jin, D., Li, Y., & Jiang, T.
- Affiliations
- Beijing National Research Center for Information Science and Technology (CN)
- China Mobile Research Institute (CN)
- Huazhong University of Science and Technology (CN)
- Corresponding author
- Li, Yong
- Jiang, Tao
- Venue
- Nature Sustainability
- Published
- 2023-08-17
- Volume
- 6
- Issue
- 12
- Pages
- 1620-1631
- ISSN
- 2398-9629 (ISSN-L)
- OpenAlex
- W4385955311
- Cited by
- 158
- References
- 28
- Citations by year
- 2026: 23 · 2025: 89 · 2024: 43 · 2023: 3
- FWCI
- 11.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature Sustainability (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Green IT and Sustainability
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced MIMO Systems Optimization
- Keywords
- 5G, CO2 emissions, energy consumption, mobile data traffic, deep reinforcement learning, graph neural networks, net-zero emissions, solar energy integration, China
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
