Li‐Ling Peng
Impact in
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- Energy Load and Power Forecasting
- Smart Grid Energy Management
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Grey System Theory Applications
Papers in
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- Functional Brain Connectivity Studies 11
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- Energy Load and Power Forecasting 14
- Co-authors
- Guo‐Feng Fan (20 shared papers)Wei‐Chiang Hong (18 shared papers)Fan Sun (1 shared paper)Xin Gao (10 shared papers)Yi‐Hsuan Yeh (3 shared papers)Jinwei Li (2 shared papers)Xiangjun Zhao (1 shared paper)Xiaowen Xu (4 shared papers)
- Journals
- Frontiers in Aging Neuroscience (3 papers)Electric Power Systems Research (3 papers)Energies (2 papers)Cerebral Cortex (2 papers)Advanced Theory and Simulations (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Li‐Ling Peng
32 papers receiving 754 citations
Peers
Comparison fields: 5 of 73
- Electrical and Electronic Engineering 420
- Management Science and Operations Research 71
- Cognitive Neuroscience 76
- General Engineering 1
- Signal Processing 19
Countries citing papers authored by Li‐Ling Peng
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
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-authors
The 25 scholars most cited alongside Li‐Ling Peng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 214 | |
| 2 | 2018 | 155 | |
| 3 | 2023 | 80 | |
| 4 | 2017 | 54 | |
| 5 | 2021 | 28 | |
| 6 | 2023 | 27 | |
| 7 | 2023 | 26 | |
| 8 | 2016 | 25 | |
| 9 | 2023 | 21 | |
| 10 | 2024 | 18 | |
| 11 | 2021 | 16 | |
| 12 | 2022 | 16 | |
| 13 | 2022 | 11 | |
| 14 | 2024 | 11 | |
| 15 | 2022 | 9 | |
| 16 | 2024 | 8 | |
| 17 | 2023 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2024 | 5 |
About Li‐Ling Peng
Li‐Ling Peng is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence, Management Science and Operations Research and Radiology, Nuclear Medicine and Imaging, having authored 36 papers that have together received 767 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (14 papers), Functional Brain Connectivity Studies (11 papers), Solar Radiation and Photovoltaics (3 papers), Medical Imaging Techniques and Applications (2 papers), Sentiment Analysis and Opinion Mining (1 paper), Dementia and Cognitive Impairment Research (1 paper), Emotion and Mood Recognition (1 paper) and Mental Health via Writing (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (420 citations), Management Science and Operations Research (71 citations), Cognitive Neuroscience (76 citations), General Engineering (1 citation) and Signal Processing (19 citations). Li‐Ling Peng has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Guo‐Feng Fan, Wei‐Chiang Hong, Fan Sun, Xin Gao, Yi‐Hsuan Yeh, Jinwei Li, Xiangjun Zhao, Xiaowen Xu, Zhengxia Wang and Weikai Li. Their work appears in journals such as Frontiers in Aging Neuroscience, Electric Power Systems Research, Energies, Cerebral Cortex and Advanced Theory and Simulations.
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.