Deqing Wang

1.8k total citations · 2 hit papers
27 papers, 1.4k citations indexed

About

Deqing Wang is a scholar working on Economics and Econometrics, Renewable Energy, Sustainability and the Environment and Marketing. According to data from OpenAlex, Deqing Wang has authored 27 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Economics and Econometrics, 6 papers in Renewable Energy, Sustainability and the Environment and 4 papers in Marketing. Recurrent topics in Deqing Wang's work include Energy, Environment, Economic Growth (16 papers), Air Quality and Health Impacts (4 papers) and Environmental Sustainability in Business (4 papers). Deqing Wang is often cited by papers focused on Energy, Environment, Economic Growth (16 papers), Air Quality and Health Impacts (4 papers) and Environmental Sustainability in Business (4 papers). Deqing Wang collaborates with scholars based in China, Australia and Japan. Deqing Wang's co-authors include Lingyun He, Zhangqi Zhong, Rongyan Liu, Feng Wang, Lihong Zhang, Yufei Xia, Li Zhang, Xiaolei Yang, Xuemei Li and Lei Fang and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Deqing Wang

26 papers receiving 1.4k citations

Hit Papers

Green credit, renewable energy investment and green econo... 2018 2026 2020 2023 2018 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deqing Wang China 11 1.1k 356 330 276 215 27 1.4k
Abd Alwahed Dagestani China 24 860 0.7× 246 0.7× 351 1.1× 383 1.4× 117 0.5× 51 1.5k
Mingbo Zheng China 20 1.3k 1.1× 379 1.1× 352 1.1× 318 1.2× 175 0.8× 39 1.7k
Fahad Khalid China 16 801 0.7× 463 1.3× 256 0.8× 332 1.2× 245 1.1× 36 1.3k
Fortune Ganda South Africa 18 1.1k 1.0× 488 1.4× 293 0.9× 287 1.0× 171 0.8× 62 1.4k
Quan‐Jing Wang China 17 966 0.8× 287 0.8× 271 0.8× 218 0.8× 136 0.6× 29 1.2k
Juntao Du China 15 1.2k 1.0× 276 0.8× 253 0.8× 209 0.8× 130 0.6× 26 1.4k
Xiaoxiao Zhou China 17 971 0.8× 288 0.8× 239 0.7× 233 0.8× 175 0.8× 47 1.5k
Keisuke Okada Japan 11 866 0.8× 418 1.2× 252 0.8× 294 1.1× 112 0.5× 15 1.3k
Cunyi Yang China 20 1.1k 0.9× 244 0.7× 240 0.7× 220 0.8× 66 0.3× 38 1.4k

Countries citing papers authored by Deqing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Deqing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deqing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Deqing Wang. A scholar is included among the top collaborators of Deqing Wang 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 Deqing Wang. Deqing Wang 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.
Wang, Deqing, et al.. (2025). A functional mixture prediction model for dynamically forecasting cumulative intraday returns of crude oil futures. International Journal of Forecasting. 42(1). 158–180. 1 indexed citations
2.
Lyu, Jiangbin, et al.. (2024). AFDM Channel Estimation in Multi-Scale Multi-Lag Channels. 1569–1574.
3.
Wang, Deqing, et al.. (2023). Time dynamics in the effect of carbon information disclosure on corporate value. Journal of Cleaner Production. 425. 138858–138858. 11 indexed citations
4.
Wang, Deqing, et al.. (2023). Dynamic evolution and spatial–temporal disparities decomposition of high-quality economic development in China. Environment Development and Sustainability. 26(8). 19491–19519. 5 indexed citations
5.
Wang, Deqing, et al.. (2022). Spatio-temporal Analysis of China's Livelihood Development: Evidence from a Functional Index Model. Applied Spatial Analysis and Policy. 15(4). 1493–1523. 3 indexed citations
6.
Wang, Deqing, et al.. (2022). Developing a functional index to dynamically examine the spatio-temporal disparities of China’s inclusive green growth. Ecological Indicators. 139. 108861–108861. 37 indexed citations
7.
Wang, Deqing, et al.. (2022). Identifying the Dynamic Influence of Economic Policy Uncertainty on Enterprise Investment Using Functional Data Analysis. Mathematical Problems in Engineering. 2022. 1–15. 3 indexed citations
8.
Wang, Deqing, et al.. (2021). Quantifying the dynamics between environmental information disclosure and firms’ financial performance using functional data analysis. Sustainable Production and Consumption. 28. 192–205. 37 indexed citations
10.
Yang, Xiaolei, Lingyun He, Zhangqi Zhong, & Deqing Wang. (2020). How does China's green institutional environment affect renewable energy investments? The nonlinear perspective. The Science of The Total Environment. 727. 138689–138689. 63 indexed citations
11.
Wang, Deqing, et al.. (2020). A functional index model for dynamically evaluating China's energy security. Energy Policy. 147. 111706–111706. 58 indexed citations
12.
He, Lingyun, et al.. (2019). Research on the relationship between energy consumption and air quality in the Yangtze River Delta of China: an empirical analysis based on 20 sample cities. Environmental Science and Pollution Research. 27(5). 4786–4798. 7 indexed citations
13.
He, Lingyun, Rongyan Liu, Zhangqi Zhong, Deqing Wang, & Yufei Xia. (2019). Can green financial development promote renewable energy investment efficiency? A consideration of bank credit. Renewable Energy. 143. 974–984. 446 indexed citations breakdown →
14.
Wang, Deqing, Zhangqi Zhong, Kaixu Bai, & Lingyun He. (2019). Spatial and Temporal Variabilities of PM2.5 Concentrations in China Using Functional Data Analysis. Sustainability. 11(6). 1620–1620. 10 indexed citations
15.
He, Lingyun, Lihong Zhang, Zhangqi Zhong, Deqing Wang, & Feng Wang. (2018). Green credit, renewable energy investment and green economy development: Empirical analysis based on 150 listed companies of China. Journal of Cleaner Production. 208. 363–372. 453 indexed citations breakdown →
16.
Liu, Rongyan, et al.. (2018). Can green financial development promote regional ecological efficiency? A case study of China. Natural Hazards. 95(1-2). 325–341. 151 indexed citations
17.
He, Lingyun, Zhangqi Zhong, Fang Yin, & Deqing Wang. (2018). Impact of Energy Consumption on Air Quality in Jiangsu Province of China. Sustainability. 10(1). 94–94. 12 indexed citations
18.
He, Lingyun, Meng Wu, Deqing Wang, & Zhangqi Zhong. (2017). A study of the influence of regional environmental expenditure on air quality in China: the effectiveness of environmental policy. Environmental Science and Pollution Research. 25(8). 7454–7468. 53 indexed citations
19.
Liu, Fengyun, Deqiang Liu, Reza Malekian, Zhixiong Li, & Deqing Wang. (2017). A measurement model for real estate bubble size based on the panel data analysis: An empirical case study. PLoS ONE. 12(3). e0173287–e0173287. 9 indexed citations
20.
Wang, Deqing, et al.. (2014). D2L Learning Management System in America: It’s Character and It’s Inspiration Towards Online Education of China. Higher education of social science. 7(3). 47–52. 1 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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