Danlei Gu

11 papers receiving 269 citations

Danlei Gu's Hit Papers

Using support vector regression and K-nearest neighbors for short-term traffic flow prediction based on maximal information coefficient 2022 · 175 citations
1750+1+2Years since publication50100150

Peers

Danlei Gu
Comparison fields: 5 of 72
  • Transportation 65
  • Building and Construction 96
  • Control and Systems Engineering 65
  • Finance 25
  • Signal Processing 26
Replace Guancen Lin with:
Guancen Lin China
Yitian Chen China
Rui Carvalho United Kingdom
Ying‐Hsin Liang Taiwan
Владимир Швецов Russia
Kun Jin China
Yuntao Du China
Genan Dai China
Dounan Tang China
Danlei Gu relative to Guancen Lin China Guancen Lin's profile →
Citations per field
00.5×3.6×
Guancen Lin · 1×
Citations per year

Countries citing papers authored by Danlei Gu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Danlei Gu Line = papers co-authored together Danlei Gu links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Using support vector regression and K-nearest neighbors for short-term traffic flow prediction based on maximal information coefficient
Hit paper breakdown →
2022175
2 201922
3 202316
4 202413
5 201913
6 202111
7 20198
8 20235
9 20214
10 20223
11 20222

About Danlei Gu

Danlei Gu is a scholar working on Economics and Econometrics, Statistical and Nonlinear Physics, Cognitive Neuroscience, Finance and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 272 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), EEG and Brain-Computer Interfaces (3 papers), Financial Risk and Volatility Modeling (3 papers), Heart Rate Variability and Autonomic Control (2 papers), Nonlinear Dynamics and Pattern Formation (1 paper) and Theoretical and Computational Physics (1 paper). The work is most often cited by research in Transportation (65 citations), Building and Construction (96 citations), Control and Systems Engineering (65 citations), Finance (25 citations) and Signal Processing (26 citations). Danlei Gu has collaborated with scholars based in China, Portugal and Italy. Frequent co-authors include Aijing Lin, Guancen Lin, Jingjing Huang, Luca Faes, Riccardo Pernice, Yuri Antonacci, Chiara Barà, Xiyun Zhang and Xiaolin Huang. Their work appears in journals such as Chaos Solitons & Fractals, Fractals, Communications in Nonlinear Science and Numerical Simulation, Information Sciences 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.

Explore authors with similar magnitude of impact