Teng Guo
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Science Applications top 10%
- Information Systems
- Experimental and Cognitive Psychology
- Co-authors
- Feng LiuChuan-Kun WuFeng XiaXiaomei BaiYun WeiJinzhou LiFuli ZhangQing Tian
- Topics
- Online Learning and Analytics (11 papers)Advanced Steganography and Watermarking Techniques (8 papers)Intelligent Tutoring Systems and Adaptive Learning (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Science ApplicationsArtificial Intelligence
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Teng Guo
33 papers receiving 331 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 200
- Artificial Intelligence 101
- Computer Science Applications 48
- Information Systems 36
- Experimental and Cognitive Psychology 19
Countries citing papers authored by Teng Guo
This map shows the geographic impact of Teng 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 Teng Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teng Guo more than expected).
Fields of papers citing papers by Teng Guo
This network shows the impact of papers produced by Teng 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 Teng Guo. The network helps show where Teng Guo may publish in the future.
Co-authorship network of co-authors of Teng Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Teng Guo. A scholar is included among the top collaborators of Teng 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 Teng Guo. Teng 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 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 24 | |
| 11 | 10 | |
| 12 | 2 | |
| 13 | 49 | |
| 14 | 2 | |
| 15 | Predicting the Future Impact of Scholars through Time-aware Academic Networks. | 1 |
| 16 | 39 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | 67 | |
| 20 | Study on mechanism of photochromism and anti-oxidative activities of Chrysanthemum tea brewed with tap water. | 1 |
About Teng Guo
Teng Guo is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 37 papers that have together received 358 indexed citations. Recurring topics across this work include Online Learning and Analytics (11 papers), Advanced Steganography and Watermarking Techniques (8 papers) and Intelligent Tutoring Systems and Adaptive Learning (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (200 citations), Computer Science Applications (48 citations) and Artificial Intelligence (101 citations). Teng Guo has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Feng Liu, Chuan-Kun Wu, Feng Xia, Xiaomei Bai, Yun Wei, Jinzhou Li, Fuli Zhang, Qing Tian, A. Rashid A. Aziz and Sally Firmin. Their work appears in journals such as Expert Systems with Applications, IEEE Access and ACM Computing Surveys.
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.