Libo Wu

2.3k total citations · 1 hit paper
44 papers, 1.7k citations indexed

About

Libo Wu is a scholar working on Economics and Econometrics, Renewable Energy, Sustainability and the Environment and Environmental Engineering. According to data from OpenAlex, Libo Wu has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Economics and Econometrics, 20 papers in Renewable Energy, Sustainability and the Environment and 12 papers in Environmental Engineering. Recurrent topics in Libo Wu's work include Energy, Environment, and Transportation Policies (18 papers), Climate Change Policy and Economics (16 papers) and Energy, Environment, Economic Growth (12 papers). Libo Wu is often cited by papers focused on Energy, Environment, and Transportation Policies (18 papers), Climate Change Policy and Economics (16 papers) and Energy, Environment, Economic Growth (12 papers). Libo Wu collaborates with scholars based in China, United States and United Kingdom. Libo Wu's co-authors include Haoqi Qian, ZhongXiang Zhang, Weiqi Tang, William A. Pizer, Yating Li, Jing Cao, Shaodan Xu, Wendong Wei, Jing Meng and Yang Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Renewable and Sustainable Energy Reviews.

In The Last Decade

Libo Wu

42 papers receiving 1.6k citations

Hit Papers

Air pollution reduction and climate co-benefits in China’... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Libo Wu China 20 1.1k 615 560 174 165 44 1.7k
Jing Cao China 20 1.1k 1.0× 487 0.8× 499 0.9× 331 1.9× 135 0.8× 65 1.8k
Ye Hang China 22 1.2k 1.1× 507 0.8× 949 1.7× 264 1.5× 124 0.8× 40 1.9k
Junpeng Zhu China 15 1.7k 1.6× 755 1.2× 683 1.2× 274 1.6× 92 0.6× 25 2.2k
Jinhua Cheng China 21 1.4k 1.3× 596 1.0× 531 0.9× 114 0.7× 88 0.5× 52 2.0k
Xianqiang Mao China 27 865 0.8× 325 0.5× 676 1.2× 358 2.1× 101 0.6× 68 1.7k
Jiali Zheng China 15 1.1k 1.0× 481 0.8× 990 1.8× 271 1.6× 188 1.1× 36 1.9k
Lei Zhu China 30 1.8k 1.7× 793 1.3× 1.1k 2.0× 98 0.6× 377 2.3× 90 3.0k
Yuling Pan China 17 1.1k 1.0× 484 0.8× 385 0.7× 202 1.2× 117 0.7× 29 1.5k
Shi-Chun Xu China 27 1.8k 1.6× 687 1.1× 1.3k 2.3× 554 3.2× 103 0.6× 50 2.4k
Ya Wu China 18 1.3k 1.2× 573 0.9× 1.1k 1.9× 379 2.2× 165 1.0× 39 2.1k

Countries citing papers authored by Libo Wu

Since Specialization
Citations

This map shows the geographic impact of Libo Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Libo Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Libo Wu more than expected).

Fields of papers citing papers by Libo Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Libo Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Libo Wu. The network helps show where Libo Wu may publish in the future.

Co-authorship network of co-authors of Libo Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Libo Wu. A scholar is included among the top collaborators of Libo Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Libo Wu. Libo Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sun, Xiuyu, Xiaohui Zhong, Yuanqing Huang, et al.. (2025). A data-to-forecast machine learning system for global weather. Nature Communications. 16(1). 6658–6658. 1 indexed citations
2.
Wang, Y., Libo Wu, & Yang Zhou. (2024). Household's willingness to pay for renewable electricity: A meta-analysis. Energy Economics. 131. 107390–107390. 3 indexed citations
3.
Chen, Lei, Xiaohui Zhong, Hao Li, et al.. (2024). A machine learning model that outperforms conventional global subseasonal forecast models. Nature Communications. 15(1). 6425–6425. 35 indexed citations
4.
Wu, Libo, et al.. (2024). Harmonizing existing climate change mitigation policy datasets with a hybrid machine learning approach. Scientific Data. 11(1). 580–580. 5 indexed citations
5.
Wu, Libo, et al.. (2021). Strategic interaction of environmental regulation and its influencing mechanism: Evidence of spatial effects among Chinese cities. Journal of Cleaner Production. 312. 127668–127668. 40 indexed citations
6.
Qian, Haoqi, Shaodan Xu, Jing Cao, et al.. (2021). Air pollution reduction and climate co-benefits in China’s industries. Nature Sustainability. 4(5). 417–425. 265 indexed citations breakdown →
7.
Qian, Haoqi, Shaodan Xu, Jing Cao, et al.. (2021). Author Correction: Air pollution reduction and climate co-benefits in China’s industries. Nature Sustainability. 4(2). 188–188. 8 indexed citations
8.
Zhou, Yang, Zhengyu Shi, & Libo Wu. (2021). Green policy under the competitive electricity market: An agent-based model simulation in Shanghai. Journal of Environmental Management. 299. 113501–113501. 9 indexed citations
9.
Wu, Libo, Maxwell Cui, Dimitrios Kyratzis, A. Parenti, & Yifeng Wei. (2021). Towards the measurement of carbon and oxygen spectra in cosmic rays with DAMPE. Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021). 128–128. 2 indexed citations
10.
Wu, Libo, et al.. (2021). Distributional effects of China's National Emissions Trading Scheme with an emphasis on sectoral coverage and revenue recycling. Energy Economics. 105. 105770–105770. 31 indexed citations
11.
Zhao, Junri, Yan Zhang, Allison P. Patton, et al.. (2020). Projection of ship emissions and their impact on air quality in 2030 in Yangtze River delta, China. Environmental Pollution. 263(Pt A). 114643–114643. 67 indexed citations
12.
Zhou, Yang, et al.. (2019). Too big to change: How heterogeneous firms respond to time-of-use electricity price. China Economic Review. 58. 101342–101342. 13 indexed citations
13.
Tang, Weiqi, Libo Wu, & Haoqi Qian. (2018). A Study of the Dynamic Mechanisms and Effects of Allocating Emissions Permits under Endogenous Growth. Social Sciences in China. 39(1). 65–77. 1 indexed citations
14.
Qian, Haoqi & Libo Wu. (2017). Sector Coverage of Carbon Market at the Presence of Uncertainty. SSRN Electronic Journal. 2 indexed citations
15.
Wu, Libo, et al.. (2015). Efficiency or Equity? Simulating the Carbon Emission Permits Trading Schemes in China Based on an Inter-Regional CGE Model. AgEcon Search (University of Minnesota, USA). 19 indexed citations
17.
Wu, Libo, Jing Li, & ZhongXiang Zhang. (2012). Inflationary effect of oil-price shocks in an imperfect market: A partial transmission input–output analysis. Journal of Policy Modeling. 35(2). 354–369. 34 indexed citations
18.
Tang, Weiqi, Libo Wu, & ZhongXiang Zhang. (2010). Oil price shocks and their short- and long-term effects on the Chinese economy. Energy Economics. 32. S3–S14. 297 indexed citations
19.
Wu, Libo, et al.. (2007). Operation Parameters in Pilot DAF Test. Urban Environment & Urban Ecology. 41–43.
20.
Wu, Libo. (2007). Effects of different nitrogen-phosphorus ratio on the freshwater phytoplankton growth and the variations of environmental factors. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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