Kaiya Wu

1.1k citations
26 papers · 936 · h-index 11

Impact in

Papers in

Kaiya Wu

22 papers receiving 920 citations

Peers

Kaiya Wu
Comparison fields: 5 of 73
  • Environmental Engineering 381
  • Global and Planetary Change 412
  • Economics and Econometrics 444
  • Health, Toxicology and Mutagenesis 214
  • Transportation 101
Replace Xiao Ouyang with:
Xiao Ouyang China
Jincai Zhao China
Guoen Wei China
Binbin Yu China
Andrea Sarzynski United States
Changyan Wu China
Jiaming Li China
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Citations per field
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Citations per year

Countries citing papers authored by Kaiya Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kaiya Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kaiya Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kaiya Wu Line = papers co-authored together Kaiya Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011219
2 2014163
3 2012150
4 2014129
5 2018108
6 201652
7 201432
8 202315
9 202414
10 200513
11 200910
12 20086
13
Diagnosis Assessment Model of Watershed Water SecurityBased on Index System
20085
14 20244
15
The Principal Component Projection Method and Its Application to Regional Ecological Security Evaluation
20043
16
Calculation and Analysis on Indirect Carbon Emissions from Residential Consumption Based on Input-Output Model
20123
17
Principal Component Projection Applied to Evaluation of Regional Ecologic Security
20032
18
Indirect Carbon Emissions of Shanghai’s Residents Consumption and its Influence Factors
20132
19
Driving factors analysis of traffic carbon emissions in Shanghai
20202
20 20252

About Kaiya Wu

Kaiya Wu is a scholar working on Economics and Econometrics, Ecology, Environmental Engineering, Ecological Modeling and Automotive Engineering, having authored 26 papers that have together received 936 indexed citations. Recurring topics across this work include Energy, Environment, Economic Growth (8 papers), Environmental Impact and Sustainability (7 papers), Research studies in Vietnam (5 papers), Evaluation Methods in Various Fields (4 papers), Evaluation and Optimization Models (3 papers), Environmental Quality and Pollution (3 papers), Vehicle emissions and performance (3 papers) and Land Use and Ecosystem Services (3 papers). The work is most often cited by research in Environmental Engineering (381 citations), Global and Planetary Change (412 citations), Economics and Econometrics (444 citations), Health, Toxicology and Mutagenesis (214 citations) and Transportation (101 citations). Kaiya Wu has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Hao Zhang, Xizhe Peng, Qin Zhu, Xu Guo, Guixin Wang, Malin Song, Malin Song, Jay Lee, Lan Zheng and Jiuchang Wei. Their work appears in journals such as Journal of Cleaner Production, Quality & Quantity, Cities, Chinese Geographical Science and Economic Analysis and Policy.

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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