Yijun Li
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Sensory Systems top 10%
- Artificial Intelligence
- Co-authors
- Jie YangKeren FuMichael EttredgeFeng GuoZhi LiuMagdy BayoumiDmitri PerkinsShaobo Li
- Topics
- Advanced Image and Video Retrieval Techniques (11 papers)Visual Attention and Saliency Detection (8 papers)Olfactory and Sensory Function Studies (5 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yijun Li
33 papers receiving 329 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 179
- Computer Networks and Communications 70
- Information Systems 65
- Sensory Systems 44
- Artificial Intelligence 43
Countries citing papers authored by Yijun Li
This map shows the geographic impact of Yijun 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 Yijun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yijun Li more than expected).
Fields of papers citing papers by Yijun Li
This network shows the impact of papers produced by Yijun 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 Yijun Li. The network helps show where Yijun Li may publish in the future.
Co-authorship network of co-authors of Yijun Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yijun Li. A scholar is included among the top collaborators of Yijun 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 Yijun Li. Yijun 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 | 3 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 59 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 10 | |
| 9 | 4 | |
| 10 | Service Failure Complaints Identification in Social Media: A Text Classification Approach | 8 |
| 11 | Literature review on sentiment analysis of online product reviews | 8 |
| 12 | A confidence based recognition system for TV commercial extraction | 12 |
| 13 | 14 | |
| 14 | Fuzzy multiple criteria decision-making method and application based on rough entropy weight | 1 |
| 15 | Analysis of dynamic consumer detailed segmentation model based on cloud model | 4 |
| 16 | 6 | |
| 17 | 2 | |
| 18 | An Risk-Analysis-Centric Model of Information System Security Engineering | 0 |
| 19 | 19 | |
| 20 | 5 |
About Yijun Li
Yijun Li is a scholar working on Sensory Systems, Computer Vision and Pattern Recognition and Information Systems, having authored 36 papers that have together received 348 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (11 papers), Visual Attention and Saliency Detection (8 papers) and Olfactory and Sensory Function Studies (5 papers). The work is most often cited by research in Sensory Systems (44 citations), Computer Vision and Pattern Recognition (179 citations) and Signal Processing (38 citations). Yijun Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jie Yang, Keren Fu, Michael Ettredge, Feng Guo, Zhi Liu, Magdy Bayoumi, Dmitri Perkins, Shaobo Li, H. y. Wu and Jialin Lu. Their work appears in journals such as Information Sciences, Neurocomputing 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.