Hui Lu
Impact in
-
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
- Software 5
-
- Metaheuristic Optimization Algorithms Research 20
- Evolutionary Algorithms and Applications 13
- Anomaly Detection Techniques and Applications 7
- Co-authors
- Hillel J. ChielYuhui ShiShi ChengZongming FeiJeffrey M. McManusE. JansenMichael W. JenkinsAustin R. Duke
- Journals
- Applied Soft Computing (7 papers)IEEE Access (5 papers)Journal of Visualized Experiments (3 papers)Information Sciences (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Hui Lu
82 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 133
- Cellular and Molecular Neuroscience 365
- Cognitive Neuroscience 234
- Artificial Intelligence 332
- Computational Theory and Mathematics 150
- Industrial and Manufacturing Engineering 85
Countries citing papers authored by Hui Lu
This map shows the geographic impact of Hui 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 Hui Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Lu more than expected).
Fields of papers citing papers by Hui Lu
This network shows the impact of papers produced by Hui 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 Hui Lu. The network helps show where Hui Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui 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 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 1 | |
| 13 | 2021 | 10 | |
| 14 | 2021 | 12 | |
| 15 | 2020 | 47 | |
| 16 | 2020 | 11 | |
| 17 | 2019 | 6 | |
| 18 | 2018 | 53 | |
| 19 | 2015 | 16 | |
| 20 | 2012 | 20 |
About Hui Lu
Hui Lu is a scholar working on Software, Artificial Intelligence, Computational Theory and Mathematics, Cellular and Molecular Neuroscience and Industrial and Manufacturing Engineering, having authored 89 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (20 papers), Neuroscience and Neural Engineering (15 papers), Evolutionary Algorithms and Applications (13 papers), Advanced Multi-Objective Optimization Algorithms (13 papers), EEG and Brain-Computer Interfaces (9 papers), Anomaly Detection Techniques and Applications (7 papers), Scheduling and Optimization Algorithms (6 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (365 citations), Cognitive Neuroscience (234 citations), Artificial Intelligence (332 citations), Computational Theory and Mathematics (150 citations) and Industrial and Manufacturing Engineering (85 citations). Hui Lu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hillel J. Chiel, Yuhui Shi, Shi Cheng, Zongming Fei, Jeffrey M. McManus, E. Jansen, Michael W. Jenkins, Austin R. Duke, Xiujuan Lei and Xiaoteng Wang. Their work appears in journals such as Applied Soft Computing, IEEE Access, Journal of Visualized Experiments, Information Sciences and Scientific Reports.
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.