Cuixia Gao

2.2k total citations · 1 hit paper
44 papers, 1.8k citations indexed

About

Cuixia Gao is a scholar working on Economics and Econometrics, Environmental Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Cuixia Gao has authored 44 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Economics and Econometrics, 12 papers in Environmental Engineering and 11 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Cuixia Gao's work include Energy, Environment, Economic Growth (13 papers), Environmental Impact and Sustainability (10 papers) and Complex Network Analysis Techniques (9 papers). Cuixia Gao is often cited by papers focused on Energy, Environment, Economic Growth (13 papers), Environmental Impact and Sustainability (10 papers) and Complex Network Analysis Techniques (9 papers). Cuixia Gao collaborates with scholars based in China, United States and Ghana. Cuixia Gao's co-authors include Mei Sun, Yong Geng, Isaac Adjei Mensah, Wei Chen, Benjamin Chris Ampimah, Akoto Yaw Omari-Sasu, Bo Shen, Wenjing Liu, Shaozhuo Zhong and Bin Su and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.

In The Last Decade

Cuixia Gao

42 papers receiving 1.8k citations

Hit Papers

Analysis on the nexus of economic growth, fossil fuel ene... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cuixia Gao China 21 859 524 466 185 157 44 1.8k
Xiaoqi Sun China 23 659 0.8× 383 0.7× 211 0.5× 58 0.3× 119 0.8× 42 1.3k
Huajiao Li China 29 1.1k 1.3× 597 1.1× 296 0.6× 80 0.4× 135 0.9× 107 2.5k
Jian Chai China 24 1.0k 1.2× 550 1.0× 510 1.1× 123 0.7× 248 1.6× 73 1.9k
Xiaowei Ma China 16 1.4k 1.6× 640 1.2× 544 1.2× 199 1.1× 243 1.5× 59 2.4k
Αλέξανδρος Νίκας Greece 25 624 0.7× 442 0.8× 462 1.0× 247 1.3× 360 2.3× 73 1.9k
Yin Long China 31 703 0.8× 961 1.8× 539 1.2× 188 1.0× 287 1.8× 119 2.2k
Weiqiong Zhong China 21 564 0.7× 329 0.6× 170 0.4× 58 0.3× 64 0.4× 36 1.2k
Jin-Hua Xu China 28 1.1k 1.3× 686 1.3× 765 1.6× 201 1.1× 613 3.9× 44 2.7k
Debin Fang China 27 1.5k 1.8× 734 1.4× 714 1.5× 326 1.8× 396 2.5× 81 2.8k
Bao-Jun Tang China 33 1.3k 1.5× 910 1.7× 727 1.6× 139 0.8× 775 4.9× 107 3.2k

Countries citing papers authored by Cuixia Gao

Since Specialization
Citations

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

Fields of papers citing papers by Cuixia Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cuixia Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Cuixia Gao. A scholar is included among the top collaborators of Cuixia Gao 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 Cuixia Gao. Cuixia Gao 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.
2.
Gao, Cuixia, et al.. (2024). Complex network modeling for energy and carbon emission systems: Current status and prospects. SHILAP Revista de lepidopterología. 1(2). 9400004–9400004.
3.
4.
Li, Yibo, et al.. (2024). Analysis of carbon neutrality technology path selection in the steel industry under policy incentives. Energy. 292. 130550–130550. 18 indexed citations
5.
Gao, Cuixia, et al.. (2023). Uncovering the trade-induced air pollution inequality among Belt and Road Initiative (BRI) countries. Journal of Cleaner Production. 411. 137283–137283. 9 indexed citations
7.
Gao, Cuixia, et al.. (2022). Exploring renewable energy trade coopetition relationships: Evidence from belt and road countries, 1996-2018. Renewable Energy. 202. 196–209. 17 indexed citations
8.
Gao, Cuixia, et al.. (2022). Spatio-Temporal Impact of Global Migration on Carbon Transfers Based on Complex Network and Stepwise Regression Analysis. Sustainability. 14(2). 844–844. 10 indexed citations
9.
Mensah, Isaac Adjei, Mei Sun, Akoto Yaw Omari-Sasu, et al.. (2021). Potential economic indicators and environmental quality in African economies: new insight from cross-sectional autoregressive distributed lag approach. Environmental Science and Pollution Research. 28(40). 56865–56891. 27 indexed citations
10.
Sun, Mei, et al.. (2021). Detecting lag linkage effect between economic policy uncertainty and crude oil price: A multi-scale perspective. Physica A Statistical Mechanics and its Applications. 580. 126146–126146. 13 indexed citations
11.
Zhou, Jie, et al.. (2021). Analysis of oil price fluctuation under the influence of crude oil stocks and US dollar index — Based on time series network model. Physica A Statistical Mechanics and its Applications. 582. 126218–126218. 21 indexed citations
12.
Mensah, Isaac Adjei, Mei Sun, Cuixia Gao, et al.. (2020). Investigation on key contributors of energy consumption in dynamic heterogeneous panel data (DHPD) model for African countries: fresh evidence from dynamic common correlated effect (DCCE) approach. Environmental Science and Pollution Research. 27(31). 38674–38694. 14 indexed citations
13.
Sun, Mei, et al.. (2019). The spillover effects between natural gas and crude oil markets: The correlation network analysis based on multi-scale approach. Physica A Statistical Mechanics and its Applications. 524. 306–324. 15 indexed citations
14.
Tian, Xu, Joseph Sarkis, Yong Geng, et al.. (2018). Evolution of China's water footprint and virtual water trade: A global trade assessment. Environment International. 121(Pt 1). 178–188. 86 indexed citations
15.
Gao, Cuixia, Bin Su, Mei Sun, Xiaoling Zhang, & Zhonghua Zhang. (2018). Interprovincial transfer of embodied primary energy in China: A complex network approach. Applied Energy. 215. 792–807. 115 indexed citations
16.
Sun, Mei, et al.. (2017). The parametric modified limited penetrable visibility graph for constructing complex networks from time series. Physica A Statistical Mechanics and its Applications. 492. 1097–1106. 13 indexed citations
17.
Tian, Xu, Yong Geng, Shaozhuo Zhong, et al.. (2017). A bibliometric analysis on trends and characters of carbon emissions from transport sector. Transportation Research Part D Transport and Environment. 59. 1–10. 98 indexed citations
18.
Sun, Mei, et al.. (2017). Who are leading the change? The impact of China’s leading PV enterprises: A complex network analysis. Applied Energy. 207. 477–493. 17 indexed citations
19.
Gao, Cuixia, Bin Su, Mei Sun, & Zhonghua Zhang. (2017). Tracking Multilayer Energy Flows Embodied in China’s Interregional Trade: An Input-Output Network Analysis. Energy Procedia. 143. 367–374. 4 indexed citations
20.
Sun, Mei, Cuixia Gao, & Bo Shen. (2014). Quantifying China's oil import risks and the impact on the national economy. Energy Policy. 67. 605–611. 46 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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