Impact of electric vehicle development on China’s energy consumption and greenhouse gas emissions
Integrity signals
Registry
Cites
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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?
Deploying ML-based systems at scale poses remaining challenges.
“Nevertheless, deploying ML-based systems at scale [109] poses remaining challenges.”
From Economic Impacts and Mitigation for the Grid Connected Electric Vehicle Charging: A Technical and Operational Overview (2026) · cites this paper as [109]
Legacy SCADA systems usually do not have the granularity or speed to respond to high EV penetration with load and generation changes in rapid succession.
“Nevertheless, legacy Supervisory Control and Data Acquisition (SCADA) systems usually do not have the granularity or speed to respond to high EV penetration with load and generation changes in rapid succession [109],[110].”
From Economic Impacts and Mitigation for the Grid Connected Electric Vehicle Charging: A Technical and Operational Overview (2026) · cites this paper as [109]
Real-time learning and control require reliable and high-frequency data, which legacy grid systems lack.
“To begin with, real-time learning and control are possible with reliable and high-frequency data, which is denied in legacy grid systems [109].”
From Economic Impacts and Mitigation for the Grid Connected Electric Vehicle Charging: A Technical and Operational Overview (2026) · cites this paper as [109]
Cites
Fossil-fueled development (SSP5): An energy and resource intensive scenario for the 21st century
Kriegler, E., Bauer, N., Popp, A., Humpenöder, F., Leimbach, M., Strefler, J., Baumstark, L., Bodirsky, B. L., Hilaire, J., Klein, D., et al. (2017) · Global Environmental Change · doi:10.1016/j.gloenvcha.2016.05.015 · Cited by 735 · see citing works
Towards more flexibility and transparency in life cycle inventories for Lithium-ion batteries
Crenna, E., Gauch, M., Widmer, R., Wäger, P., & Hischier, R. (2021) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2021.105619 · Cited by 110 · see citing works
Flagged first, then by citations
Cited by
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Ikhajangbe, O. E., Dhulipati, H., & Liu, S. (2026) · IEEE Access · doi:10.1109/access.2026.3684508 · Cited by 5 · see citing works
- Authors
- Yan, X., & Sun, S.
- Affiliations
- University of Science and Technology Beijing (CN)
- Corresponding author
- Sun, Shouheng
- ORCID
- Sun, Shouheng
- Venue
- Clean Technologies and Environmental Policy
- Published
- 2021-09-09
- Volume
- 23
- Issue
- 10
- Pages
- 2909-2925
- ISSN
- 1618-954X (ISSN-L)
- 1618-9558
- OpenAlex
- W3197660751
- Cited by
- 49
- References
- 2
- Citations by year
- 2026: 5 · 2025: 16 · 2024: 9 · 2023: 10 · 2022: 8
- FWCI
- 1.99
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Clean Technologies and Environmental Policy (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Engineering › Automotive Engineering › Vehicle emissions and performance
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy, Environment, and Transportation Policies
- Keywords
- electric vehicles, greenhouse gas emissions, fossil fuel consumption, life cycle assessment, coal-fired power generation, renewable electricity, energy conservation, China, emission reduction potential
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.
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