HE Guo-guang
About
In The Last Decade
HE Guo-guang
67 papers receiving 391 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 195
- Statistical and Nonlinear Physics 165
- Cognitive Neuroscience 122
- Control and Systems Engineering 108
- Computer Networks and Communications 82
Countries citing papers authored by HE Guo-guang
This map shows the geographic impact of HE Guo-guang'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 HE Guo-guang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites HE Guo-guang more than expected).
Fields of papers citing papers by HE Guo-guang
This network shows the impact of papers produced by HE Guo-guang. 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 HE Guo-guang. The network helps show where HE Guo-guang may publish in the future.
Co-authorship network of co-authors of HE Guo-guang
This figure shows the co-authorship network connecting the top 25 collaborators of HE Guo-guang. A scholar is included among the top collaborators of HE Guo-guang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with HE Guo-guang. HE Guo-guang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Bayesian networks analysis for sequence flight delay and propagation | 1 |
| 3 | Synthetical Optimization Model of Optimal Evacuation Routes and Departure Time Choice in a Dynamic System | 1 |
| 4 | Simulation Study of Freeway Chaos System by Using Fuzzy Delay Feedback Control | 0 |
| 5 | Description and simulation of dynamic route guidance system road network | 2 |
| 6 | Complexity measure for macroscopical transportation system using Lempel-Ziv algorithm | 3 |
| 7 | Application Improvement of Nonparametric Regression to Traffic Flow Forecast | 4 |
| 8 | Research on rapid recognition of chaos in traffic flow based on support vector machine | 0 |
| 9 | Study on tabu search algorithm for stochastic vehicle routing problem | 5 |
| 10 | Study on Urgency Vehicle Scheduling Problem with the Changes of Time Windows and Delivery Weight of Customers | 1 |
| 11 | Improved K nearest neighbor nonparametric regression and its application in short-term traffic flow forecasting | 1 |
| 12 | Using Minimum Cost Flow Model to Optimize Evacuation Routes Considering Delays and Capacity at Intersections | 2 |
| 13 | A Novel Identification Approach of Chaos in Traffic Flow | 0 |
| 14 | One-dimensional Cellular Automaton Simulated Model for Reproducing Uncertainty of Traffic Flow | 0 |
| 15 | A Tabu Search Algorithm for Vehicle Scheduling Problem with Time Windows | 1 |
| 16 | The Identification of Chaos in the Real Traffic Flow Based on the Improved Surrogate-data Technique | 0 |
| 17 | A Short-term Traffic Flow Forecasting Method Based on Combination of Fuzzy C-mean Clustering and Neural Network | 5 |
| 18 | A Hierarchical Coordination Model between Traffic Control and Route Guidance | 0 |
| 19 | Automatic Detection Algorithm of Traffic Incident Using Neural Network Based on Rough Sets Filtration | 1 |
| 20 | On Intelligent Optimization of Multi-Depots Vehicle Scheduling Problem | 2 |
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.