Ya Wu

2.6k total citations · 1 hit paper
39 papers, 2.1k citations indexed

About

Ya Wu is a scholar working on Economics and Econometrics, Environmental Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Ya Wu has authored 39 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Economics and Econometrics, 19 papers in Environmental Engineering and 13 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Ya Wu's work include Energy, Environment, Economic Growth (19 papers), Environmental Impact and Sustainability (19 papers) and Energy, Environment, and Transportation Policies (12 papers). Ya Wu is often cited by papers focused on Energy, Environment, Economic Growth (19 papers), Environmental Impact and Sustainability (19 papers) and Energy, Environment, and Transportation Policies (12 papers). Ya Wu collaborates with scholars based in China, Hong Kong and United States. Ya Wu's co-authors include Liyin Shen, Chenyang Shuai, Bangzhu Zhu, Shiju Liao, Xiangnan Song, Boqiang Lin, Vivian W.Y. Tam, Yu Zhang, Xi Chen and Yingli Lou and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Ya Wu

38 papers receiving 2.1k citations

Hit Papers

Decoupling China's economic growth from carbon emissions:... 2018 2026 2020 2023 2018 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
Ya Wu China 18 1.3k 1.1k 573 379 189 39 2.1k
Rui Wu China 30 1.2k 0.9× 1.1k 1.0× 527 0.9× 420 1.1× 113 0.6× 65 2.5k
Jiali Zheng China 15 1.1k 0.8× 990 0.9× 481 0.8× 271 0.7× 183 1.0× 36 1.9k
Zhengxia He China 26 1.6k 1.3× 1.1k 1.0× 708 1.2× 422 1.1× 111 0.6× 49 2.5k
Shi-Chun Xu China 27 1.8k 1.4× 1.3k 1.2× 687 1.2× 554 1.5× 150 0.8× 50 2.4k
Junnian Song China 27 933 0.7× 1.2k 1.1× 396 0.7× 253 0.7× 118 0.6× 75 2.2k
Yi-Ming Wei China 11 1.6k 1.2× 1.7k 1.6× 562 1.0× 454 1.2× 179 0.9× 17 2.4k
Xu Tian China 33 1.1k 0.8× 1.4k 1.3× 412 0.7× 226 0.6× 108 0.6× 82 2.8k
Xin Tian China 27 1.0k 0.8× 1.1k 1.1× 389 0.7× 297 0.8× 146 0.8× 84 2.0k
Ya Wu China 22 1.3k 1.0× 1.1k 1.0× 435 0.8× 374 1.0× 222 1.2× 42 2.3k
Shigemi Kagawa Japan 30 798 0.6× 1.4k 1.3× 606 1.1× 234 0.6× 190 1.0× 106 2.5k

Countries citing papers authored by Ya Wu

Since Specialization
Citations

This map shows the geographic impact of Ya 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 Ya Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Wu more than expected).

Fields of papers citing papers by Ya Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya 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 Ya Wu. The network helps show where Ya Wu may publish in the future.

Co-authorship network of co-authors of Ya Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ya Wu. A scholar is included among the top collaborators of Ya 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 Ya Wu. Ya 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.
Wu, Ya, et al.. (2024). The race between global economic growth and carbon emissions: based on a comparative study of developed and developing countries. Environmental Science and Pollution Research. 31(13). 19226–19243. 8 indexed citations
2.
Zhang, Yili, et al.. (2024). Policy measures mitigate the adoption of crop diversification strategies by farmers: insights from the Tibetan Plateau. Environment Development and Sustainability. 28(2). 3307–3336. 4 indexed citations
3.
Wu, Ya, et al.. (2024). How does the digital economy affect urban CO2 emissions? Mechanism discussion and empirical test. Environment Development and Sustainability. 27(6). 14097–14122. 3 indexed citations
4.
Mao, Yanying, et al.. (2023). Using eco‐efficiency and eco‐wellbeing performance as indicators for urban sustainable development: A two‐stage network analysis. Sustainable Development. 32(3). 1825–1844. 16 indexed citations
5.
Wu, Ya, et al.. (2023). Driving Mechanism of Comprehensive Land Consolidation on Urban–Rural Development Elements Integration. Land. 12(11). 2037–2037. 12 indexed citations
6.
Wu, Ya, Yin Liu, & Minglong Zhang. (2023). How Does Digital Finance Affect Energy Efficiency?—Characteristics, Mechanisms, and Spatial Effects. Sustainability. 15(9). 7071–7071. 7 indexed citations
7.
Xia, Lan, Lijie Gao, Ya Wu, et al.. (2023). Assessing the influencing factors of out-of-pocket costs on tuberculosis in Sichuan Province: a cross-sectional study. BMC Public Health. 23(1). 1391–1391. 1 indexed citations
8.
Yan, Jianzhong, et al.. (2023). Impact of policy measures on smallholders’ livelihood resilience: Evidence from Hehuang Valley, Tibetan Plateau. Ecological Indicators. 158. 111351–111351. 10 indexed citations
9.
Jiao, Liudan, et al.. (2023). An assessment model for urban resilience based on the pressure-state-response framework and BP-GA neural network. Urban Climate. 49. 101543–101543. 62 indexed citations
10.
Wu, Ya, et al.. (2022). How to cushion economic recession caused by the COVID-19 pandemic: Fiscal or monetary policies?. Frontiers in Public Health. 10. 960655–960655. 2 indexed citations
11.
Chen, Xi, Chenyang Shuai, Jing Gao, & Ya Wu. (2022). Analyzing the socioeconomic determinants of PM2.5 air pollution at the global level. Environmental Science and Pollution Research. 30(10). 27257–27269. 9 indexed citations
12.
Wu, Ya & Bin Xu. (2022). When will China’s carbon emissions peak? Evidence from judgment criteria and emissions reduction paths. Energy Reports. 8. 8722–8735. 57 indexed citations
13.
Zhou, Hong, et al.. (2020). Labor migration and the decoupling of the crop-livestock system in a rural mountainous area: Evidence from Chongqing, China. Land Use Policy. 99. 105088–105088. 35 indexed citations
14.
Wu, Ya, Vivian W.Y. Tam, Chenyang Shuai, et al.. (2018). Decoupling China's economic growth from carbon emissions: Empirical studies from 30 Chinese provinces (2001–2015). The Science of The Total Environment. 656. 576–588. 293 indexed citations breakdown →
15.
Shen, Liyin, et al.. (2017). What drives the carbon emission in the Chinese cities?—A case of pilot low carbon city of Beijing. Journal of Cleaner Production. 174. 343–354. 242 indexed citations
17.
Shen, Liyin, Xiangnan Song, Ya Wu, Shiju Liao, & Xiaoling Zhang. (2016). Interpretive Structural Modeling based factor analysis on the implementation of Emission Trading System in the Chinese building sector. Journal of Cleaner Production. 127. 214–227. 170 indexed citations
18.
Chen, Lu, Ya Wu, & Peter C. Coyte. (2014). Income-related children’s health inequality and health achievement in China. International Journal for Equity in Health. 13(1). 102–102. 34 indexed citations
19.
Lin, Boqiang, et al.. (2012). Evaluation of electricity saving potential in China's chemical industry based on cointegration. Energy Policy. 44. 320–330. 59 indexed citations
20.
Lin, Boqiang, et al.. (2011). Estimates of the potential for energy conservation in the Chinese steel industry. Energy Policy. 39(6). 3680–3689. 82 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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