Kang‐Di Lu
Impact in
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- Smart Grid Security and Resilience
- Microgrid Control and Optimization
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research
Papers in
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- Smart Grid Security and Resilience 14
- Advanced Control Systems Optimization 7
- Advanced Control Systems Design 6
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- Metaheuristic Optimization Algorithms Research 8
- Anomaly Detection Techniques and Applications 7
- Evolutionary Algorithms and Applications 6
- Co-authors
- Guo‐Qiang Zeng (38 shared papers)Min-Rong Chen (14 shared papers)Zheng‐Guang Wu (8 shared papers)Wuneng Zhou (4 shared papers)Jian Weng (13 shared papers)Wei Du (1 shared paper)Jie Chen (1 shared paper)Tingwen Huang (1 shared paper)
In The Last Decade
Kang‐Di Lu
47 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Control and Systems Engineering 813
- Artificial Intelligence 683
- Energy Engineering and Power Technology 62
- Electrical and Electronic Engineering 971
- Computer Networks and Communications 332
Countries citing papers authored by Kang‐Di Lu
This map shows the geographic impact of Kang‐Di 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 Kang‐Di Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kang‐Di Lu more than expected).
Fields of papers citing papers by Kang‐Di Lu
This network shows the impact of papers produced by Kang‐Di 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 Kang‐Di Lu. The network helps show where Kang‐Di Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kang‐Di 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Wind speed forecasting using nonlinear-learning ensemble of deep learning time series prediction and extremal optimization Hit paper breakdown → | 2018 | 327 |
| 2 | 2019 | 220 | |
| 3 | 2005 | 184 | |
| 4 | 2018 | 160 | |
| 5 | 2019 | 124 | |
| 6 | 2022 | 110 | |
| 7 | 2019 | 97 | |
| 8 | 2020 | 85 | |
| 9 | 2021 | 77 | |
| 10 | 2015 | 73 | |
| 11 | 2014 | 72 | |
| 12 | 2019 | 65 | |
| 13 | 2022 | 59 | |
| 14 | 2021 | 57 | |
| 15 | 2022 | 52 | |
| 16 | 2019 | 50 | |
| 17 | 2014 | 49 | |
| 18 | 2018 | 48 | |
| 19 | 2023 | 47 | |
| 20 | 2018 | 42 |
About Kang‐Di Lu
Kang‐Di Lu is a scholar working on Control and Systems Engineering, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Computational Theory and Mathematics, having authored 49 papers that have together received 2.3k indexed citations. Recurring topics across this work include Smart Grid Security and Resilience (14 papers), Network Security and Intrusion Detection (14 papers), Metaheuristic Optimization Algorithms Research (8 papers), Advanced Control Systems Optimization (7 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Anomaly Detection Techniques and Applications (7 papers), Evolutionary Algorithms and Applications (6 papers) and Advanced Control Systems Design (6 papers). The work is most often cited by research in Control and Systems Engineering (813 citations), Artificial Intelligence (683 citations), Energy Engineering and Power Technology (62 citations), Electrical and Electronic Engineering (971 citations) and Computer Networks and Communications (332 citations). Kang‐Di Lu has collaborated with scholars based in China, Qatar and Taiwan. Frequent co-authors include Guo‐Qiang Zeng, Min-Rong Chen, Zheng‐Guang Wu, Wuneng Zhou, Jian Weng, Wei Du, Jie Chen, Tingwen Huang, Yuxing Dai and Xizhao Luo. Their work appears in journals such as Neurocomputing, IEEE Transactions on Industrial Informatics, Swarm and Evolutionary Computation, IEEE Transactions on Instrumentation and Measurement and Expert Systems with Applications.
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.