Min Lu
Impact in
- Geology top 10%
- 3D Surveying and Cultural Heritage
Papers in
-
- Smart Grid Energy Management 5
- Power System Optimization and Stability 4
- Energy Load and Power Forecasting 4
-
- Microgrid Control and Optimization 6
- Power Systems Fault Detection 4
- Co-authors
- Zhiwei Wang (3 shared papers)Wei‐Ying Ma (2 shared papers)Hang Li (2 shared papers)Jun Xu (2 shared papers)Tie‐Yan Liu (2 shared papers)Min Xia (2 shared papers)Mi Zhao (6 shared papers)Songhuai Du (1 shared paper)
- Journals
- IEEE Access (2 papers)Colloids and Surfaces A Physicochemical and Engineering Aspects (2 papers)Measurement Science and Technology (2 papers)IEEE Transactions on Power Systems (2 papers)Journal of environmental chemical engineering (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Min Lu
67 papers receiving 758 citations
Peers
Comparison fields: 5 of 122
- Geology 47
- Space and Planetary Science 8
- Computer Vision and Pattern Recognition 117
- Energy Engineering and Power Technology 16
- Automotive Engineering 60
Countries citing papers authored by Min Lu
This map shows the geographic impact of Min Lu'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 Min Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Lu more than expected).
Fields of papers citing papers by Min Lu
This network shows the impact of papers produced by Min Lu. 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 Min Lu. The network helps show where Min Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Lu, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 89 | |
| 2 | 2021 | 57 | |
| 3 | 2023 | 55 | |
| 4 | 2006 | 54 | |
| 5 | 2013 | 49 | |
| 6 | 2024 | 41 | |
| 7 | 2021 | 35 | |
| 8 | 2022 | 35 | |
| 9 | 2022 | 32 | |
| 10 | 2021 | 29 | |
| 11 | 2013 | 28 | |
| 12 | 2022 | 21 | |
| 13 | 2023 | 21 | |
| 14 | Peer-and-Self Assessment to Reveal the Ranking of Each Individual's Contribution to a Group Project | 2004 | 17 |
| 15 | 2023 | 16 | |
| 16 | 2021 | 16 | |
| 17 | 2023 | 14 | |
| 18 | 2023 | 12 | |
| 19 | 2006 | 11 | |
| 20 | 2022 | 10 |
About Min Lu
Min Lu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering and Energy Engineering and Power Technology, having authored 80 papers that have together received 794 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (6 papers), Power Systems and Renewable Energy (6 papers), Smart Grid Energy Management (5 papers), Image Processing and 3D Reconstruction (5 papers), Power Systems Fault Detection (4 papers), Power System Optimization and Stability (4 papers), Energy Load and Power Forecasting (4 papers) and 3D Shape Modeling and Analysis (4 papers). The work is most often cited by research in Geology (47 citations), Space and Planetary Science (8 citations), Computer Vision and Pattern Recognition (117 citations), Energy Engineering and Power Technology (16 citations) and Automotive Engineering (60 citations). Min Lu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhiwei Wang, Wei‐Ying Ma, Hang Li, Jun Xu, Tie‐Yan Liu, Min Xia, Mi Zhao, Songhuai Du, Xuan Hui and Jun Liu. Their work appears in journals such as IEEE Access, Colloids and Surfaces A Physicochemical and Engineering Aspects, Measurement Science and Technology, IEEE Transactions on Power Systems and Journal of environmental chemical engineering.
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.