Ling-Ling Pei

1.0k citations
29 papers · 835 · h-index 14

Impact in

Papers in

Ling-Ling Pei

28 papers receiving 820 citations

Peers

Ling-Ling Pei
Comparison fields: 5 of 76
  • Management Science and Operations Research 564
  • Environmental Engineering 108
  • Economics and Econometrics 197
  • Electrical and Electronic Engineering 421
  • General Energy 5
Replace Chaoqing Yuan with:
Chaoqing Yuan China
Qinzi Xiao China
Tao Ding China
Pingping Xiong China
Ewa Chodakowska Poland
Beyzanur Çayır Ervural Türkiye
Mohammad Alipour Iran
Reza Hafezi Iran
Jinpeng Liu China
Ling-Ling Pei relative to Chaoqing Yuan China Chaoqing Yuan's profile →
Citations per field
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Chaoqing Yuan · 1×
Citations per year

Countries citing papers authored by Ling-Ling Pei

Since Specialization
Citations

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

Fields of papers citing papers by Ling-Ling Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling-Ling Pei. 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 Ling-Ling Pei. The network helps show where Ling-Ling Pei may publish in the future.

Co-authors

The 19 scholars most cited alongside Ling-Ling Pei, 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 Ling-Ling Pei Line = papers co-authored together Ling-Ling Pei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018240
2 2017126
3 201969
4 202153
5 202050
6 201947
7 201744
8 201925
9 201923
10 201822
11 202218
12 201715
13 201414
14 201914
15 201812
16 201810
17 20179
18 20238
19
Modeling approach for oscillatory sequences based on GM(1,1) power model
20116
20 20186

About Ling-Ling Pei

Ling-Ling Pei is a scholar working on Management Science and Operations Research, Economics and Econometrics, Electrical and Electronic Engineering, Environmental Engineering and Renewable Energy, Sustainability and the Environment, having authored 29 papers that have together received 835 indexed citations. Recurring topics across this work include Grey System Theory Applications (21 papers), Energy, Environment, Economic Growth (8 papers), Energy Load and Power Forecasting (6 papers), Environmental Impact and Sustainability (3 papers), Energy, Environment, and Transportation Policies (2 papers), Market Dynamics and Volatility (2 papers), Diverse Interdisciplinary Research Innovations (1 paper) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Management Science and Operations Research (564 citations), Environmental Engineering (108 citations), Economics and Econometrics (197 citations), Electrical and Electronic Engineering (421 citations) and General Energy (5 citations). Ling-Ling Pei has collaborated with scholars based in China. Frequent co-authors include Zheng‐Xin Wang, Qin Li, Qin Li, Yufeng Zhao, Yi Zhang, Qin Li, Weijie Zhou, Pingping Xiong, Guizhi Wang and Wen‐Jie Yan. Their work appears in journals such as Sustainability, International Journal of Environmental Research and Public Health, Energy, The Science of The Total Environment and Complexity.

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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