Wei Chu
Impact in
- Environmental Engineering top 0.5%
- Environmental Impact and Sustainability
- Economics and Econometrics top 0.5%
- Energy, Environment, Economic Growth
- Climate Change Policy and Economics
- Market Dynamics and Volatility
- Fiscal Policy and Economic Growth
Papers in
-
- Environmental Impact and Sustainability 26
-
- Energy, Environment, Economic Growth 36
Wei Chu
134 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Environmental Engineering 1.4k
- Economics and Econometrics 2.0k
- Renewable Energy, Sustainability and the Environment 1.1k
- Pollution 579
- Energy Engineering and Power Technology 103
Countries citing papers authored by Wei Chu
This map shows the geographic impact of Wei Chu'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 Wei Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Chu more than expected).
Fields of papers citing papers by Wei Chu
This network shows the impact of papers produced by Wei Chu. 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 Wei Chu. The network helps show where Wei Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Chu, 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 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 62 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 1 | |
| 11 | 2021 | 125 | |
| 12 | 2020 | 71 | |
| 13 | 2020 | 1 | |
| 14 | 2019 | 21 | |
| 15 | DETERMINANTS OF RESIDENTIAL ENERGY CONSUMPTION: A URBANRURAL COMPARISON | 2019 | 3 |
| 16 | Residential coal consumption and its determinants in rural China | 2017 | 7 |
| 17 | 2016 | 4 | |
| 18 | A comprehensive evaluation of various sensitivity analysis methods: A case study with a hydrological model Hit paper breakdown → | 2013 | 270 |
| 19 | A Discussion of Selection of Schemes for Municipal Solid Waste Treatment in Hefei City | 2008 | 0 |
| 20 | Parallel collaborative evolutionary genetic algorithm for multi-workshop planning and scheduling problems | 2008 | 3 |
About Wei Chu
Wei Chu is a scholar working on Environmental Engineering, Economics and Econometrics, Signal Processing, Developmental Biology and Pollution, having authored 144 papers that have together received 4.4k indexed citations. Recurring topics across this work include Energy, Environment, Economic Growth (36 papers), Environmental Impact and Sustainability (26 papers), Energy, Environment, and Transportation Policies (19 papers), Earthquake Detection and Analysis (16 papers), Energy and Environment Impacts (15 papers), Speech and Audio Processing (14 papers), Music and Audio Processing (12 papers) and Building Energy and Comfort Optimization (10 papers). The work is most often cited by research in Environmental Engineering (1.4k citations), Economics and Econometrics (2.0k citations), Renewable Energy, Sustainability and the Environment (1.1k citations), Pollution (579 citations) and Energy Engineering and Power Technology (103 citations). Wei Chu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Limin Du, Jinlan Ni, Xinye Zheng, Andreas Löschel, Shimei Wu, Jin Guo, Soroosh Sorooshian, Yanan He, Xiaogang Gao and Manhong Shen. Their work appears in journals such as Energy Policy, China Economic Review, Energy Economics, Resources Conservation and Recycling and Journal of Cleaner Production.
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.