Lu Peng
Impact in
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- Stock Market Forecasting Methods
- Software top 5%
Papers in
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- Electric Power System Optimization 14
- Energy Load and Power Forecasting 10
- Optimal Power Flow Distribution 8
- Smart Grid Energy Management 6
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- Scheduling and Optimization Algorithms 6
- Co-authors
- Lin Wang (18 shared papers)Jianzhong Zhou (7 shared papers)Shan Liu (3 shared papers)Chao Wang (5 shared papers)Rui Liu (3 shared papers)Sheng-Xiang Lv (4 shared papers)Mo Li (5 shared papers)Chunlong Li (5 shared papers)
- Journals
- Energy Conversion and Management (5 papers)Energy (5 papers)Applied Soft Computing (3 papers)Soft Computing (2 papers)Information Sciences (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lu Peng
59 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 116
- Management Science and Operations Research 251
- Software 59
- Electrical and Electronic Engineering 885
- Ocean Engineering 184
- Artificial Intelligence 347
Countries citing papers authored by Lu Peng
This map shows the geographic impact of Lu 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 Lu Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Peng more than expected).
Fields of papers citing papers by Lu Peng
This network shows the impact of papers produced by Lu 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 Lu Peng. The network helps show where Lu Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 245 | |
| 2 | 2021 | 157 | |
| 3 | 2014 | 92 | |
| 4 | 2017 | 76 | |
| 5 | 2019 | 69 | |
| 6 | 2020 | 67 | |
| 7 | 2016 | 67 | |
| 8 | 2014 | 63 | |
| 9 | 2014 | 62 | |
| 10 | 2014 | 58 | |
| 11 | 2017 | 58 | |
| 12 | 2018 | 53 | |
| 13 | 2019 | 50 | |
| 14 | 2013 | 49 | |
| 15 | 2022 | 48 | |
| 16 | 2016 | 41 | |
| 17 | 2020 | 41 | |
| 18 | 2015 | 36 | |
| 19 | 2024 | 31 | |
| 20 | 1995 | 31 |
About Lu Peng
Lu Peng is a scholar working on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Control and Systems Engineering, Artificial Intelligence and Civil and Structural Engineering, having authored 64 papers that have together received 1.6k indexed citations. Recurring topics across this work include Electric Power System Optimization (14 papers), Energy Load and Power Forecasting (10 papers), Optimal Power Flow Distribution (8 papers), Software Reliability and Analysis Research (7 papers), Supply Chain and Inventory Management (7 papers), Scheduling and Optimization Algorithms (6 papers), Smart Grid Energy Management (6 papers) and Structural Health Monitoring Techniques (6 papers). The work is most often cited by research in Management Science and Operations Research (251 citations), Software (59 citations), Electrical and Electronic Engineering (885 citations), Ocean Engineering (184 citations) and Artificial Intelligence (347 citations). Lu Peng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lin Wang, Jianzhong Zhou, Shan Liu, Chao Wang, Rui Liu, Sheng-Xiang Lv, Mo Li, Chunlong Li, De Xia and Yu‐Rong Zeng. Their work appears in journals such as Energy Conversion and Management, Energy, Applied Soft Computing, Soft Computing and Information Sciences.
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.