Evidence map›Paper›PMID 37495878›Full record

ArticleNature2023

Accelerating the energy transition towards photovoltaic and wind in China.

Yijing Wang, Rong Wang, Katsumasa Tanaka, Philippe Ciais, Josep Penuelas, Yves Balkanski, Jordi Sardans, Didier Hauglustaine, Wang Liu, Xiaofan Xing and 9 more

Abstract read
In one paragraph

Article in Nature, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed.

  1. Article
  2. Ultra-thin γ-InNature communications · 2026
    Article
  3. Article
  4. Surfactant-Derived Nitrogen-Bridged MoSNano-micro letters · 2026
    Article
  5. China's Low-Carbon Energy Transition Over the Past Two Decades: Experiences and Implications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Yijing WangShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, China.
Rong WangShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, China. rongwang@fudan.edu.cn.ORCID http://orcid.org/0000-0003-1962-0165
Katsumasa TanakaLaboratoire des Sciences du Climat et de l'Environnement (LSCE), CEA/CNRS/UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.ORCID http://orcid.org/0000-0001-9601-6442
Philippe CiaisLaboratoire des Sciences du Climat et de l'Environnement (LSCE), CEA/CNRS/UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.ORCID http://orcid.org/0000-0001-8560-4943
Josep PenuelasCSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Spain.ORCID http://orcid.org/0000-0002-7215-0150
Yves BalkanskiLaboratoire des Sciences du Climat et de l'Environnement (LSCE), CEA/CNRS/UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.
Jordi SardansCSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Spain.ORCID http://orcid.org/0000-0003-2478-0219
Didier HauglustaineLaboratoire des Sciences du Climat et de l'Environnement (LSCE), CEA/CNRS/UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.
Wang LiuShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, China.
Xiaofan XingShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, China.
Jiarong LiShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, China.
Siqing XuShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, China.
Yuankang XiongShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, China.
Ruipu YangShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, China.
Junji CaoInstitute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.
Jianmin ChenShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0001-5859-3070
Lin WangShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-4905-3432
Xu TangIRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China.
Renhe ZhangIRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0001-7750-8679

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China's goal to achieve carbon (C) neutrality by 2060 requires scaling up photovoltaic (PV) and wind power from 1 to 10-15 PWh year

Identifiers

PMID37495878
PMCPMC10371865

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.