Li‐Ling Peng

933 citations
34 papers · 679 · h-index 12

Impact in

Papers in

Li‐Ling Peng

30 papers receiving 665 citations

Peers

Li‐Ling Peng
Comparison fields: 5 of 107
  • Management Science and Operations Research 199
  • Electrical and Electronic Engineering 409
  • Energy Engineering and Power Technology 21
  • Building and Construction 70
  • Computer Vision and Pattern Recognition 93
Replace Yanfei Li with:
Yanfei Li China
Ranjeeta Bisoi India
Binsu C. Kovoor India
Ali Lahouar Tunisia
Yi Bao China
Chao Ren China
A. Abaye United States
Junyi Zhou United States
Heng Shi United Kingdom
Minghao Xu United Kingdom
Li‐Ling Peng relative to Yanfei Li China Yanfei Li's profile →
Citations per field
00.5×10×16×
Yanfei Li · 1×
Citations per year

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-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.

Border = papers with Li‐Ling Peng Line = papers co-authored together Li‐Ling Peng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015204
2 2018145
3 202353
4 201750
5 202126
6 201625
7 202320
8 202319
9 202319
10 202115
11 202213
12 202212
13 201911
14 202410
15 20229
16 20248
17 20246
18 20234
19 20224
20 20244

About Li‐Ling Peng

Li‐Ling Peng is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 34 papers that have together received 679 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (17 papers), Grey System Theory Applications (10 papers), Functional Brain Connectivity Studies (7 papers), EEG and Brain-Computer Interfaces (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Neurological disorders and treatments (4 papers), Image and Signal Denoising Methods (4 papers) and Stock Market Forecasting Methods (3 papers). The work is most often cited by research in Management Science and Operations Research (199 citations), Electrical and Electronic Engineering (409 citations), Energy Engineering and Power Technology (21 citations), Building and Construction (70 citations) and Computer Vision and Pattern Recognition (93 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, Xiangjun Zhao, Yi‐Hsuan Yeh, Jinwei Li, Xiaowen Xu, Weikai Li and Zhengxia Wang. Their work appears in journals such as Frontiers in Aging Neuroscience, Energies, Cerebral Cortex, Electric Power Systems Research and Frontiers in Psychiatry.

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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