Hui Lu
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
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- Metaheuristic Optimization Algorithms Research 20
- Evolutionary Algorithms and Applications 13
- Anomaly Detection Techniques and Applications 7
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- Neuroscience and Neural Engineering 15
- Co-authors
- Hillel J. Chiel (21 shared papers)Shi Cheng (17 shared papers)Yuhui Shi (15 shared papers)Zongming Fei (10 shared papers)Jeffrey M. McManus (8 shared papers)Michael W. Jenkins (3 shared papers)E. Jansen (3 shared papers)Austin R. Duke (2 shared papers)
- Journals
- Applied Soft Computing (8 papers)IEEE Access (5 papers)Journal of Visualized Experiments (3 papers)Information Sciences (2 papers)Journal of Neural Engineering (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Hui Lu
82 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 126
- Cellular and Molecular Neuroscience 348
- Cognitive Neuroscience 211
- Artificial Intelligence 337
- Computational Theory and Mathematics 151
- Industrial and Manufacturing Engineering 87
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
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 117 | |
| 2 | 2014 | 69 | |
| 3 | 2012 | 63 | |
| 4 | 2005 | 57 | |
| 5 | 2018 | 54 | |
| 6 | 2017 | 52 | |
| 7 | 2012 | 51 | |
| 8 | 2020 | 48 | |
| 9 | 2013 | 45 | |
| 10 | 2020 | 40 | |
| 11 | 2018 | 38 | |
| 12 | 2019 | 38 | |
| 13 | 2008 | 34 | |
| 14 | 2014 | 32 | |
| 15 | 2014 | 27 | |
| 16 | 2013 | 25 | |
| 17 | 2015 | 25 | |
| 18 | 2012 | 20 | |
| 19 | 2013 | 18 | |
| 20 | 2018 | 18 |
About Hui Lu
Hui Lu is a scholar working on Artificial Intelligence, Cellular and Molecular Neuroscience, Computational Theory and Mathematics, Cognitive Neuroscience and Computer Networks and Communications, having authored 90 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), Advanced Multi-Objective Optimization Algorithms (14 papers), Evolutionary Algorithms and Applications (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 (348 citations), Cognitive Neuroscience (211 citations), Artificial Intelligence (337 citations), Computational Theory and Mathematics (151 citations) and Industrial and Manufacturing Engineering (87 citations). Hui Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hillel J. Chiel, Shi Cheng, Yuhui Shi, Zongming Fei, Jeffrey M. McManus, Michael W. Jenkins, E. Jansen, 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 Journal of Neural 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.