Danlei Gu
Impact in
- Transportation top 5%
- Transportation Planning and Optimization
- Building and Construction top 5%
- Traffic Prediction and Management Techniques
Papers in
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- Chaos control and synchronization 5
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- Complex Systems and Time Series Analysis 7
- Co-authors
- Aijing Lin (7 shared papers)Guancen Lin (4 shared papers)Jingjing Huang (2 shared papers)Riccardo Pernice (1 shared paper)Yuri Antonacci (1 shared paper)Luca Faes (1 shared paper)Chiara Barà (1 shared paper)Xiyun Zhang (1 shared paper)
In The Last Decade
Danlei Gu
11 papers receiving 292 citations
Danlei Gu's Hit Papers
Peers
Comparison fields: 5 of 73
- Transportation 69
- Building and Construction 110
- Control and Systems Engineering 72
- Finance 24
- Management Science and Operations Research 30
Countries citing papers authored by Danlei Gu
This map shows the geographic impact of Danlei Gu'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 Danlei Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danlei Gu more than expected).
Fields of papers citing papers by Danlei Gu
This network shows the impact of papers produced by Danlei Gu. 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 Danlei Gu. The network helps show where Danlei Gu may publish in the future.
Co-authors
The 9 scholars most cited alongside Danlei Gu, 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 | Using support vector regression and K-nearest neighbors for short-term traffic flow prediction based on maximal information coefficient Hit paper breakdown → | 2022 | 196 |
| 2 | 2019 | 21 | |
| 3 | 2024 | 17 | |
| 4 | 2023 | 17 | |
| 5 | 2019 | 13 | |
| 6 | 2021 | 11 | |
| 7 | 2019 | 8 | |
| 8 | 2023 | 5 | |
| 9 | 2021 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 2 |
About Danlei Gu
Danlei Gu is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics, Finance, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 297 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (7 papers), Chaos control and synchronization (5 papers), Neural dynamics and brain function (4 papers), Financial Risk and Volatility Modeling (3 papers), EEG and Brain-Computer Interfaces (3 papers), Heart Rate Variability and Autonomic Control (2 papers), Theoretical and Computational Physics (1 paper) and Advanced Chemical Sensor Technologies (1 paper). The work is most often cited by research in Transportation (69 citations), Building and Construction (110 citations), Control and Systems Engineering (72 citations), Finance (24 citations) and Management Science and Operations Research (30 citations). Danlei Gu has collaborated with scholars based in China, Serbia and Italy. Frequent co-authors include Aijing Lin, Guancen Lin, Jingjing Huang, Riccardo Pernice, Yuri Antonacci, Luca Faes, Chiara Barà, Xiyun Zhang and Xiaolin Huang. Their work appears in journals such as Fractals, Chaos Solitons & Fractals, Communications in Nonlinear Science and Numerical Simulation, Expert Systems with Applications and Physica A Statistical Mechanics and its 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.