Kan Guo
Impact in
- Transportation top 1%
- Transportation Planning and Optimization
- Human Mobility and Location-Based Analysis
- Building and Construction top 1%
- Traffic Prediction and Management Techniques
Papers in
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- Computer Graphics and Visualization Techniques 6
-
- Traffic Prediction and Management Techniques 9
- Co-authors
- Yanfeng Sun (9 shared papers)Baocai Yin (10 shared papers)Yongli Hu (9 shared papers)Junbin Gao (9 shared papers)Sean Si Qian (6 shared papers)Xiaowu Chen (6 shared papers)Dongqing Zou (1 shared paper)Hao Liu (1 shared paper)
- Journals
- IEEE Transactions on Intelligent Transportation Systems (4 papers)Science China Information Sciences (2 papers)IET Intelligent Transport Systems (2 papers)Knowledge-Based Systems (1 paper)IEEE Internet of Things Journal (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Kan Guo
19 papers receiving 975 citations
Kan Guo's Hit Papers
Peers
Comparison fields: 5 of 84
- Transportation 383
- Building and Construction 575
- Computer Graphics and Computer-Aided Design 105
- Signal Processing 137
- Control and Systems Engineering 255
Countries citing papers authored by Kan Guo
This map shows the geographic impact of Kan Guo'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 Kan Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kan Guo more than expected).
Fields of papers citing papers by Kan Guo
This network shows the impact of papers produced by Kan Guo. 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 Kan Guo. The network helps show where Kan Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Kan Guo, 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 | Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction Hit paper breakdown → | 2020 | 290 |
| 2 | 2015 | 174 | |
| 3 | 2021 | 163 | |
| 4 | 2020 | 152 | |
| 5 | 2022 | 92 | |
| 6 | 2013 | 48 | |
| 7 | 2020 | 19 | |
| 8 | 2024 | 12 | |
| 9 | 2023 | 11 | |
| 10 | 2024 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2020 | 4 | |
| 13 | 2018 | 3 | |
| 14 | 2014 | 2 | |
| 15 | 2015 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2013 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Kan Guo
Kan Guo is a scholar working on Computer Graphics and Computer-Aided Design, Building and Construction, Transportation, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 20 papers that have together received 995 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (9 papers), 3D Shape Modeling and Analysis (8 papers), Computer Graphics and Visualization Techniques (6 papers), Transportation Planning and Optimization (5 papers), Traffic control and management (3 papers), Advanced Vision and Imaging (3 papers), Time Series Analysis and Forecasting (3 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Transportation (383 citations), Building and Construction (575 citations), Computer Graphics and Computer-Aided Design (105 citations), Signal Processing (137 citations) and Control and Systems Engineering (255 citations). Kan Guo has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yanfeng Sun, Baocai Yin, Yongli Hu, Junbin Gao, Sean Si Qian, Xiaowu Chen, Dongqing Zou, Hao Liu, Ke Zhang and Fuqing Duan. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Science China Information Sciences, IET Intelligent Transport Systems, Knowledge-Based Systems and IEEE Internet of Things Journal.
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.