Yibo Li
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Aerospace Engineering
- Information Systems top 10%
- Co-authors
- John K. AntonioHoward Jay SiegelCong GuoXiong WangZhi TangLiangcai GaoXiaonan GuoXiaofei Ji
- Topics
- Robotic Path Planning Algorithms (8 papers)Robotics and Sensor-Based Localization (7 papers)Machine Learning and ELM (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionHardware and ArchitectureComputer Networks and Communications
- Journals
- IEEE Transactions on Knowledge and Data EngineeringApplied Mathematics and ComputationIEEE Transactions on Parallel and Distributed Systems
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yibo Li
35 papers receiving 288 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 153
- Computer Networks and Communications 87
- Artificial Intelligence 70
- Aerospace Engineering 56
- Information Systems 45
Countries citing papers authored by Yibo Li
This map shows the geographic impact of Yibo Li'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 Yibo Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yibo Li more than expected).
Fields of papers citing papers by Yibo Li
This network shows the impact of papers produced by Yibo Li. 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 Yibo Li. The network helps show where Yibo Li may publish in the future.
Co-authorship network of co-authors of Yibo Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yibo Li. A scholar is included among the top collaborators of Yibo Li 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 Yibo Li. Yibo Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 19 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 6 | |
| 15 | 10 | |
| 16 | 4 | |
| 17 | 5 | |
| 18 | 4 | |
| 19 | Self-study and Adaptive Adjusting of Exam-Question Score Probability and Probability Distribution of Answer-Question Time | 1 |
| 20 | 48 |
About Yibo Li
Yibo Li is a scholar working on Computer Vision and Pattern Recognition, Discrete Mathematics and Combinatorics and Artificial Intelligence, having authored 37 papers that have together received 310 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (8 papers), Robotics and Sensor-Based Localization (7 papers) and Machine Learning and ELM (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (153 citations), Hardware and Architecture (43 citations) and Computer Networks and Communications (87 citations). Yibo Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include John K. Antonio, Howard Jay Siegel, Cong Guo, Xiong Wang, Zhi Tang, Liangcai Gao, Xiaonan Guo, Xiaofei Ji, Xinjing Huang and Fei Du. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Applied Mathematics and Computation and IEEE Transactions on Parallel and Distributed Systems.
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.