Zigang Lu
- Artificial Intelligence top 0.5%
- Neural Networks and Applications 2
- Anomaly Detection Techniques and Applications 2
- Statistics and Probability top 1%
- Environmental Engineering top 1%
- Signal Processing top 2%
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- Energy Load and Power Forecasting 4
- Power System Optimization and Stability 4
- Optimal Power Flow Distribution 2
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- Power Systems Fault Detection 2
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- Advanced Thermodynamics and Statistical Mechanics 1
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- Image and Signal Denoising Methods 1
Zigang Lu
16 papers receiving 8.5k citations
Hit Papers
Peers
Comparison fields: 5 of 231
- Artificial Intelligence 2.1k
- Statistics and Probability 476
- Environmental Engineering 660
- Management Science and Operations Research 495
- Signal Processing 425
Countries citing papers authored by Zigang Lu
This map shows the geographic impact of Zigang 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 Zigang Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zigang Lu more than expected).
Fields of papers citing papers by Zigang Lu
This network shows the impact of papers produced by Zigang 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 Zigang Lu. The network helps show where Zigang Lu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zigang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2022 | 2 | |
| 3 | 2021 | 0 | |
| 4 | 2021 | 4 | |
| 5 | 2020 | 1 | |
| 6 | 2020 | 5 | |
| 7 | 2020 | 1 | |
| 8 | 2018 | 3 | |
| 9 | 2018 | 2 | |
| 10 | 2018 | 5 | |
| 11 | 2017 | 1 | |
| 12 | 2016 | 2 | |
| 13 | 2016 | 3 | |
| 14 | 2015 | 31 | |
| 15 | 2013 | 7 | |
| 16 | The Elements of Statistical Learning: Data Mining, Inference, and Predictionbreakdown → | 2010 | 8668 |
| 17 | 2009 | 20 |
About Zigang Lu
Zigang Lu is a scholar working on Control and Systems Engineering, Ecological Modeling, Modeling and Simulation, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 8.8k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (4 papers), Power System Optimization and Stability (4 papers), Neural Networks and Applications (2 papers), Optimal Power Flow Distribution (2 papers), Anomaly Detection Techniques and Applications (2 papers), Power Systems Fault Detection (2 papers), Advanced Thermodynamics and Statistical Mechanics (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Artificial Intelligence (2.1k citations), Statistics and Probability (476 citations), Environmental Engineering (660 citations), Management Science and Operations Research (495 citations) and Signal Processing (425 citations). Zigang Lu has collaborated with scholars based in China and United States. Frequent co-authors include Yonghui Sun, Zhinong Wei, Xiaopeng Wu, Wenjie Yu, Minrui Xu, Adam Downey, Li Huang, Qingshan Xu, M. Otani and W. Wong‐Ng. Their work appears in journals such as Journal of Research of the National Institute of Standards and Technology, Fire Technology, Journal of the Royal Statistical Society Series A (Statistics in Society), Computer Standards & Interfaces and Journal of the Franklin Institute.
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.