Ting Guo
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 10%
- Computer Vision and Pattern Recognition
- Information Systems top 10%
- Mechanical Engineering
- Co-authors
- Xingquan ZhuChengqi ZhangYang WangShirui PanShuihua WangYudong ZhangFang ChenHongjian Lu
- Topics
- Advanced Graph Neural Networks (8 papers)Complex Network Analysis Techniques (5 papers)Experimental Behavioral Economics Studies (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied EnergyPattern Recognition
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Ting Guo
42 papers receiving 359 citations
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 153
- Statistical and Nonlinear Physics 56
- Computer Vision and Pattern Recognition 55
- Information Systems 46
- Mechanical Engineering 27
Countries citing papers authored by Ting Guo
This map shows the geographic impact of Ting 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 Ting Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Guo more than expected).
Fields of papers citing papers by Ting Guo
This network shows the impact of papers produced by Ting 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 Ting Guo. The network helps show where Ting Guo may publish in the future.
Co-authorship network of co-authors of Ting Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Ting Guo. A scholar is included among the top collaborators of Ting Guo 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 Ting Guo. Ting Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 27 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 18 | |
| 14 | A conditional Bayesian delay propagation model for large-scale railway traffic networks | 3 |
| 15 | 16 | |
| 16 | 36 | |
| 17 | 7 | |
| 18 | 10 | |
| 19 | Infinite hidden semi-Markov modulated interaction point process | 2 |
| 20 | 4 |
About Ting Guo
Ting Guo is a scholar working on General Engineering, Artificial Intelligence and Transportation, having authored 50 papers that have together received 375 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (8 papers), Complex Network Analysis Techniques (5 papers) and Experimental Behavioral Economics Studies (3 papers). The work is most often cited by research in General Engineering (6 citations), Artificial Intelligence (153 citations) and Statistical and Nonlinear Physics (56 citations). Ting Guo has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xingquan Zhu, Chengqi Zhang, Yang Wang, Shirui Pan, Shuihua Wang, Yudong Zhang, Fang Chen, Hongjian Lu, Na Yang and Zefan Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Energy and Pattern Recognition.
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.