Lijun Sun
- Computer Vision and Pattern Recognition top 10%
- Materials Chemistry
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Lian ZhongQimin MaJin LiQiuwen ZhangJun CaiJianyu MiaoAbdellah ChehriXuan Wang
- Topics
- Face and Expression Recognition (9 papers)Iterative Learning Control Systems (9 papers)Indoor and Outdoor Localization Technologies (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONECarbohydrate Polymers
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Lijun Sun
53 papers receiving 539 citations
Peers
Comparison fields: 5 of 124
- Computer Vision and Pattern Recognition 124
- Materials Chemistry 111
- Artificial Intelligence 92
- Electrical and Electronic Engineering 88
- Biomedical Engineering 76
Countries citing papers authored by Lijun Sun
This map shows the geographic impact of Lijun Sun'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 Lijun Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lijun Sun more than expected).
Fields of papers citing papers by Lijun Sun
This network shows the impact of papers produced by Lijun Sun. 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 Lijun Sun. The network helps show where Lijun Sun may publish in the future.
Co-authorship network of co-authors of Lijun Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Lijun Sun. A scholar is included among the top collaborators of Lijun Sun 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 Lijun Sun. Lijun Sun 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 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | A Model Using Support Vector Machines Recursive Feature Elimination (SVM-RFE) Algorithm to Classify Whether COPD Patients Have Been Continuously Managed According to GOLD Guidelines | 1 |
| 12 | 8 | |
| 13 | 7 | |
| 14 | 4 | |
| 15 | 28 | |
| 16 | 1 | |
| 17 | 57 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | 3 |
About Lijun Sun
Lijun Sun is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Media Technology, having authored 61 papers that have together received 549 indexed citations. Recurring topics across this work include Face and Expression Recognition (9 papers), Iterative Learning Control Systems (9 papers) and Indoor and Outdoor Localization Technologies (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (124 citations), Drug Discovery (1 citation) and Biomaterials (51 citations). Lijun Sun has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Lian Zhong, Qimin Ma, Jin Li, Qiuwen Zhang, Jun Cai, Jianyu Miao, Abdellah Chehri, Xuan Wang, Lingfeng Niu and Tiejun Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Carbohydrate Polymers.
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.