Imputing environmental impact missing data of the industrial sector for Chinese cities
A machine learning approach
Bibliographic Data
| ID | 11367757 |
|---|---|
| Authors | Xi Chen (0000-0002-2058-0351, Southwest University), Chenyang Shuai (0000-0001-8789-0111, University of Michigan, corresponding author), Bu Zhao (0000-0001-5310-4020, University of Michigan), Yu Zhang (0000-0002-0059-270X, Chongqing Jiaotong University), Kaijian Li (0000-0002-8264-7662, Chongqing University) |
| Year | 2023 |
| Volume | 100 |
| Pages | 107050 |
| Publication date | 2023-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Impact Assessment Review (JOURNAL) |
| Journal identifiers | ISSN: 0195-9255 • E-ISSN: 1873-6432 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.eiar.2023.107050 |
| OpenAlex | W4319456060 |
| Language | EN |
| Citations received | 12 |
| References cited | 45 |
Boosting (machine learning · Data collection · Data quality · Decision tree · Econometrics · Economics · Environmental data · Environmental economics · Environmental pollution · Environmental protection · Geography · Gradient boosting · Investment (military · Machine learning · Missing data · Operations management · Random forest · Raw data · Statistics · Computer Science · Energy, Environment, Economic Growth · Engineering · Environmental Impact and Sustainability · Mathematics · Water Quality and Pollution Assessment
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| Unique citing works | 12 |
|---|---|
| Citations per year | 4 |
| Citation span | 2023 - 2025 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 12 |