Ling-Ling Pei

1.0k total citations
30 papers, 820 citations indexed

About

Ling-Ling Pei is a scholar working on Management Science and Operations Research, Economics and Econometrics and Electrical and Electronic Engineering. According to data from OpenAlex, Ling-Ling Pei has authored 30 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Management Science and Operations Research, 14 papers in Economics and Econometrics and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Ling-Ling Pei's work include Grey System Theory Applications (22 papers), Energy, Environment, Economic Growth (9 papers) and Energy Load and Power Forecasting (6 papers). Ling-Ling Pei is often cited by papers focused on Grey System Theory Applications (22 papers), Energy, Environment, Economic Growth (9 papers) and Energy Load and Power Forecasting (6 papers). Ling-Ling Pei collaborates with scholars based in China. Ling-Ling Pei's co-authors include Zheng‐Xin Wang, Qin Li, Qin Li, Yufeng Zhao, Pingping Xiong, Yan Xing, Weijie Zhou, Yi Zhang, Qin Li and Guizhi Wang and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Energy Policy.

In The Last Decade

Ling-Ling Pei

29 papers receiving 800 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ling-Ling Pei China	14	558	418	199	106	73	30	820
Qinzi Xiao China	11	410 0.7×	229 0.5×	191 1.0×	126 1.2×	44 0.6×	20	728
Tao Ding China	14	362 0.6×	163 0.4×	292 1.5×	151 1.4×	49 0.7×	26	747
Pingping Xiong China	13	388 0.7×	224 0.5×	189 0.9×	131 1.2×	35 0.5×	35	655
Chaoqing Yuan China	11	494 0.9×	401 1.0×	454 2.3×	251 2.4×	246 3.4×	35	1.1k
Beyzanur Çayır Ervural Türkiye	8	262 0.5×	226 0.5×	146 0.7×	69 0.7×	100 1.4×	24	634
Xiaobo Zhang China	9	213 0.4×	410 1.0×	157 0.8×	108 1.0×	29 0.4×	17	743
Chengshi Tian China	11	230 0.4×	570 1.4×	291 1.5×	169 1.6×	140 1.9×	17	896
Jinpeng Liu China	15	115 0.2×	424 1.0×	239 1.2×	156 1.5×	130 1.8×	63	909
Lu‐Tao Zhao China	18	181 0.3×	144 0.3×	502 2.5×	142 1.3×	229 3.1×	67	865
Xiping Wang China	13	124 0.2×	142 0.3×	197 1.0×	127 1.2×	68 0.9×	31	468

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-authorship network of co-authors of Ling-Ling Pei

This figure shows the co-authorship network connecting the top 25 collaborators of Ling-Ling Pei. A scholar is included among the top collaborators of Ling-Ling Pei 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 Ling-Ling Pei. Ling-Ling Pei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Pei, Ling-Ling, et al.. (2021). A Predictive Analysis of the Business Environment of Economies along the Belt and Road Using the Fractional-Order Grey Model. Journal of Mathematics. 2021. 1–13. 6 indexed citations

Pei, Ling-Ling, et al.. (2021). Forecasting seasonal variations in electricity consumption and electricity usage efficiency of industrial sectors using a grey modeling approach. Energy. 222. 119952–119952. 50 indexed citations

Xing, Yan, Yi Zhang, & Ling-Ling Pei. (2020). The impact of risk-taking level on green technology innovation: Evidence from energy-intensive listed companies in China. Journal of Cleaner Production. 281. 124685–124685. 46 indexed citations

Wang, Zheng‐Xin, et al.. (2020). EVALUATION OF THE BUSINESS ENVIRONMENT OF PARTICIPATING COUNTRIES OF THE BELT AND ROAD INITIATIVE. Technological and Economic Development of Economy. 26(6). 1339–1365. 5 indexed citations

Zhou, Weijie & Ling-Ling Pei. (2019). The grey generalized Verhulst model and its application for forecasting Chinese pig price index. Soft Computing. 24(7). 4977–4990. 23 indexed citations

Pei, Ling-Ling, et al.. (2019). An optimised grey buffer operator for forecasting the production and sales of new energy vehicles in China. The Science of The Total Environment. 704. 135321–135321. 68 indexed citations

Xiong, Pingping, Wen‐Jie Yan, Guizhi Wang, & Ling-Ling Pei. (2019). Grey extended prediction model based on IRLS and its application on smog pollution. Applied Soft Computing. 80. 797–809. 47 indexed citations

Pei, Ling-Ling, et al.. (2018). The NLS-based nonlinear grey Bernoulli model with an application to employee demand prediction of high-tech enterprises in China. Grey Systems Theory and Application. 8(2). 133–143. 22 indexed citations

Pei, Ling-Ling, et al.. (2018). Investigation of a Brownfield Conflict Considering the Strength of Preferences. International Journal of Environmental Research and Public Health. 15(2). 393–393. 10 indexed citations

10.

Pei, Ling-Ling, Qin Li, & Zheng‐Xin Wang. (2018). The NLS-Based Nonlinear Grey Multivariate Model for Forecasting Pollutant Emissions in China. International Journal of Environmental Research and Public Health. 15(3). 471–471. 6 indexed citations

11.

Duan, Huiming, Xinping Xiao, & Ling-Ling Pei. (2017). Forecasting the Short-Term Traffic Flow in the Intelligent Transportation System Based on an Inertia Nonhomogenous Discrete Gray Model. Complexity. 2017. 1–16. 15 indexed citations

12.

Wang, Zheng‐Xin, Qin Li, & Ling-Ling Pei. (2017). Grey forecasting method of quarterly hydropower production in China based on a data grouping approach. Applied Mathematical Modelling. 51. 302–316. 123 indexed citations

13.

Wang, Zheng‐Xin, et al.. (2017). Decomposition of the factors influencing export fluctuation in China's new energy industry based on a constant market share model. Energy Policy. 109. 22–35. 43 indexed citations

14.

Pei, Ling-Ling. (2012). Combinatorial Optimization of the Initial Value in GM(1,1) Power Model. Tongji yu xinxi luntan. 2 indexed citations

15.

Pei, Ling-Ling & Zheng‐Xin Wang. (2012). Application of Grey Dynamic Programming Model for Optimizing Regional Industrial Structure. 285–288. 1 indexed citations

16.

Pei, Ling-Ling. (2011). Optimization of the Initial Conditions in Unbiased Grey Verhulst Model. Tongji yu xinxi luntan. 2 indexed citations

17.

Pei, Ling-Ling. (2011). Modeling approach for oscillatory sequences based on GM(1,1) power model. Systems engineering and electronics. 6 indexed citations

18.

Pei, Ling-Ling. (2010). The smoothness of buffer operators. Systems Engineering - Theory & Practice. 4 indexed citations

19.

Pei, Ling-Ling, et al.. (2010). A Research on the Evaluating Targets System and Method of the Capability of Regional Technical Innovative Personnel. Science of Science and Management of S.& T. 31(2). 196–199.

20.

Pei, Ling-Ling, et al.. (2009). Weighted degree of grey incidence based on optimization entropy. 340–343. 2 indexed citations

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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