Kaile Zhou

33 papers receiving 3.0k citations

Hit Papers

A hybrid deep learning model for short-term PV power fore...2019202620212023201920192022100200300

Peers

Kaile Zhou
Comparison fields: 5 of 129
  • Electrical and Electronic Engineering 1.3k
  • Economics and Econometrics 705
  • Renewable Energy, Sustainability and the Environment 639
  • Artificial Intelligence 601
  • Environmental Engineering 406
Replace Patrick Jochem with:
Patrick Jochem Germany
Jin-Hua Xu China
Fausto Cavallaro Italy
Quande Qin China
Jeremy J. Michalek United States
Kaile Zhou China
Wen‐Long Shang China
Huiru Zhao China
Luís C. Dias Portugal
Debin Fang China
Kaile Zhou relative to Patrick Jochem Germany Patrick Jochem's profile →
Citations per field
00.5×9.4×
Patrick Jochem · 1×
Citations per year

Countries citing papers authored by Kaile Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Kaile Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaile Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Kaile Zhou. A scholar is included among the top collaborators of Kaile Zhou 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 Kaile Zhou. Kaile Zhou 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
#WorkIndexed citations
1 0
2 5
3
Spatial and temporal evolution characteristics and spillover effects of China's regional carbon emissionsbreakdown →
137
4 73
5 170
6 142
7 58
8 5
9 6
10
Land use efficiency and influencing factors of urban agglomerations in Chinabreakdown →
269
11 85
12 18
13 19
14 60
15 63
16 13
17 46
18 78
19 65
20 17

About Kaile Zhou

Kaile Zhou is a scholar working on Signal Processing, Renewable Energy, Sustainability and the Environment and Environmental Engineering, having authored 35 papers that have together received 3.1k indexed citations. Recurring topics across this work include Smart Grid Energy Management (8 papers), Energy Load and Power Forecasting (7 papers) and Energy, Environment, Economic Growth (6 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (639 citations), Building and Construction (392 citations) and Transportation (192 citations). Kaile Zhou has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Shanlin Yang, Xinhui Lu, Pengtao Li, YU Jun-qing, Zhifeng Guo, Chi Zhang, Xiaoling Zhang, Chao Shen, Lulu Wen and Shanyong Wang. Their work appears in journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and The Science of The Total 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.

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