Li‐Ling Peng

933 total citations
34 papers, 679 citations indexed

About

Li‐Ling Peng is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research and Cognitive Neuroscience. According to data from OpenAlex, Li‐Ling Peng has authored 34 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 12 papers in Management Science and Operations Research and 8 papers in Cognitive Neuroscience. Recurrent topics in Li‐Ling Peng's work include Energy Load and Power Forecasting (17 papers), Grey System Theory Applications (10 papers) and Functional Brain Connectivity Studies (7 papers). Li‐Ling Peng is often cited by papers focused on Energy Load and Power Forecasting (17 papers), Grey System Theory Applications (10 papers) and Functional Brain Connectivity Studies (7 papers). Li‐Ling Peng collaborates with scholars based in China, Taiwan and United States. Li‐Ling Peng's co-authors include Guo‐Feng Fan, Wei‐Chiang Hong, Fan Sun, Xin Gao, Yi‐Hsuan Yeh, Xiangjun Zhao, Jinwei Li, Xiaowen Xu, Zhengxia Wang and Weikai Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Cerebral Cortex.

In The Last Decade

Li‐Ling Peng

30 papers receiving 665 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li‐Ling Peng China 12 409 199 118 93 83 34 679
Ziqing Ma China 7 137 0.3× 119 0.6× 203 1.7× 51 0.5× 59 0.7× 14 689
Liang Du Singapore 10 173 0.4× 144 0.7× 169 1.4× 46 0.5× 44 0.5× 13 528
Jiazheng Li China 7 311 0.8× 450 2.3× 179 1.5× 72 0.8× 34 0.4× 12 971
Chao Ren China 8 279 0.7× 76 0.4× 143 1.2× 31 0.3× 67 0.8× 19 617
Zaiqing Chen China 13 350 0.9× 64 0.3× 343 2.9× 117 1.3× 33 0.4× 54 743
Harsh S. Dhiman India 14 357 0.9× 88 0.4× 168 1.4× 27 0.3× 230 2.8× 31 804
L. G. B. Ruiz Spain 15 317 0.8× 104 0.5× 198 1.7× 46 0.5× 60 0.7× 31 742
Youru Li China 9 127 0.3× 98 0.5× 183 1.6× 43 0.5× 46 0.6× 25 545

Countries citing papers authored by Li‐Ling Peng

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Ling Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Ling Peng. 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 Li‐Ling Peng. The network helps show where Li‐Ling Peng may publish in the future.

Co-authorship network of co-authors of Li‐Ling Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Ling Peng. A scholar is included among the top collaborators of Li‐Ling Peng 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 Li‐Ling Peng. Li‐Ling Peng 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
1.
Peng, Li‐Ling, et al.. (2025). Uncertainty quantification and load forecasting based on CPO-VMD and hybrid deep learning. Electric Power Systems Research. 252. 112444–112444.
2.
Fan, Guo‐Feng, et al.. (2024). The volatility mechanism and intelligent fusion forecast of new energy stock prices. Financial Innovation. 10(1). 6 indexed citations
3.
Fan, Guo‐Feng, et al.. (2024). Uncertainty analysis of photovoltaic power generation system and intelligent coupling prediction. Renewable Energy. 234. 121174–121174. 8 indexed citations
4.
Peng, Li‐Ling, et al.. (2024). Metabolic network connectivity disturbances in Parkinson's disease: a novel imaging biomarker. Cerebral Cortex. 34(9). 4 indexed citations
5.
Fan, Guo‐Feng, et al.. (2023). A new intelligent hybrid forecasting method for power load considering uncertainty. Knowledge-Based Systems. 280. 111034–111034. 20 indexed citations
6.
Fan, Guo‐Feng, et al.. (2023). Use of weighted local constant method to short-term forecasting of electric load in cities at weekends. Electric Power Systems Research. 221. 109464–109464. 4 indexed citations
7.
Peng, Li‐Ling, Rui Zhou, Yan Zhong, et al.. (2023). [18F]FDG PET/MRI combined with chest HRCT in early cancer detection: a retrospective study of 3020 asymptomatic subjects. European Journal of Nuclear Medicine and Molecular Imaging. 50(12). 3723–3734. 3 indexed citations
8.
Xu, Feng, Li‐Ling Peng, Xiaochun Zhu, et al.. (2023). A prediction model of nodal metastasis in cN0 oral squamous cell carcinoma using metabolic and pathological variables. Cancer Imaging. 23(1). 34–34. 2 indexed citations
9.
Li, Weikai, Yongxiang Tang, Li‐Ling Peng, et al.. (2023). The reconfiguration pattern of individual brain metabolic connectome for Parkinson's disease identification. SHILAP Revista de lepidopterología. 4(4). e305–e305. 19 indexed citations
10.
Fan, Guo‐Feng, et al.. (2023). Forecasting residential electricity consumption using the novel hybrid model. Energy and Buildings. 290. 113085–113085. 19 indexed citations
11.
Peng, Li‐Ling, et al.. (2023). Adaptive noise depression for functional brain network estimation. Frontiers in Psychiatry. 13. 1100266–1100266.
12.
Peng, Li‐Ling, et al.. (2022). Alternation of the Rich-Club Organization of Individual Brain Metabolic Networks in Parkinson’s Disease. Frontiers in Aging Neuroscience. 14. 964874–964874. 4 indexed citations
13.
Peng, Li‐Ling, et al.. (2022). The Altered Pattern of the Functional Connectome Related to Pathological Biomarkers in Individuals for Autism Spectrum Disorder Identification. Frontiers in Neuroscience. 16. 913377–913377. 9 indexed citations
14.
Peng, Li‐Ling, et al.. (2022). Rich-Club Organization Disturbances of the Individual Morphological Network in Subjective Cognitive Decline. Frontiers in Aging Neuroscience. 14. 834145–834145. 12 indexed citations
15.
Peng, Li‐Ling, et al.. (2021). Food Safety Education for Elementary School Students Worldwide. SHILAP Revista de lepidopterología. 3 indexed citations
16.
Li, Weikai, Xiaowen Xu, Zhengxia Wang, et al.. (2021). Multiple Connection Pattern Combination From Single-Mode Data for Mild Cognitive Impairment Identification. Frontiers in Cell and Developmental Biology. 9. 782727–782727. 26 indexed citations
17.
18.
Shi, Yong, et al.. (2020). Influence of Lifestyles on Mild Cognitive Impairment: A Decision Tree Model Study. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Saha, Sanjoy, et al.. (2019). Is iodine deficiency still a problem in sub-Saharan Africa?: a review. Proceedings of The Nutrition Society. 78(4). 554–566. 11 indexed citations
20.
Fan, Guo‐Feng, et al.. (2019). Application of GM (1,1) and Seasonal Cross-Trend Model in the Forecast of Tourist Population in Sanya. RePEc: Research Papers in Economics. 10(4). 51–64. 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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