Xiaoqing Wang
Impact in
- Communication top 2%
- Knowledge Management and Sharing
-
- Open Source Software Innovations
Papers in
-
- Energy, Environment, Economic Growth 16
- Market Dynamics and Volatility 9
- Climate Change Policy and Economics 6
- Co-authors
- Chi‐Wei SuGerard BeenenKlarissa ChangRobert E. KrautDan FrankowskiOana‐Ramona LobonţPaul ResnickRan Tao
In The Last Decade
Xiaoqing Wang
41 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Communication 278
- Computer Science Applications 169
- General Energy 29
- Economics and Econometrics 721
- Environmental Engineering 208
Countries citing papers authored by Xiaoqing Wang
This map shows the geographic impact of Xiaoqing 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 Xiaoqing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoqing Wang more than expected).
Fields of papers citing papers by Xiaoqing Wang
This network shows the impact of papers produced by Xiaoqing 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 Xiaoqing Wang. The network helps show where Xiaoqing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoqing Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 10 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 7 | |
| 4 | 2025 | 5 | |
| 5 | 2025 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 9 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 12 | |
| 10 | 2024 | 8 | |
| 11 | 2023 | 33 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 72 | |
| 14 | 2023 | 23 | |
| 15 | 2021 | 29 | |
| 16 | 2020 | 35 | |
| 17 | 2018 | 10 | |
| 18 | 2016 | 9 | |
| 19 | Analysis on community characteristics of Brainea insignis in Maluanshan and its adjacent mountains of Shenzhen | 2010 | 2 |
| 20 | Econometric analysis and modeling on residential demand of natural gas in Shanghai | 2009 | 4 |
About Xiaoqing Wang
Xiaoqing Wang is a scholar working on General Energy, Economics and Econometrics, Ecological Modeling, Renewable Energy, Sustainability and the Environment and General Economics, Econometrics and Finance, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Energy, Environment, Economic Growth (16 papers), Market Dynamics and Volatility (9 papers), Environmental Impact and Sustainability (6 papers), Climate Change Policy and Economics (6 papers), Energy, Environment, and Transportation Policies (6 papers), Global Energy and Sustainability Research (4 papers), Evaluation Methods in Various Fields (3 papers) and Monetary Policy and Economic Impact (3 papers). The work is most often cited by research in Communication (278 citations), Computer Science Applications (169 citations), General Energy (29 citations), Economics and Econometrics (721 citations) and Environmental Engineering (208 citations). Xiaoqing Wang has collaborated with scholars based in China, Romania and Macao. Frequent co-authors include Chi‐Wei Su, Gerard Beenen, Klarissa Chang, Robert E. Kraut, Dan Frankowski, Oana‐Ramona Lobonţ, Paul Resnick, Ran Tao, Suisui Chen and Shuhong Wang. Their work appears in journals such as Resources Policy, Economic Analysis and Policy, Energy, Energy Economics and Journal of Housing and the Built Environment.
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.