Shengjun Li
- Molecular Biology
- Artificial Intelligence
- Genetics
- Signal Processing
- Control and Systems Engineering
- Co-authors
- Jin‐Xing LiuChun-Hou ZhengJunliang ShangRuimin ShenYan SunJunying ZhangYing-Lian GaoJuan Wang
- Topics
- Gene expression and cancer classification (6 papers)Machine Learning in Bioinformatics (3 papers)Single-cell and spatial transcriptomics (3 papers)
- Partner nations
- China
In The Last Decade
Shengjun Li
15 papers receiving 187 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 76
- Artificial Intelligence 58
- Genetics 51
- Signal Processing 15
- Control and Systems Engineering 13
Countries citing papers authored by Shengjun Li
This map shows the geographic impact of Shengjun 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 Shengjun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengjun Li more than expected).
Fields of papers citing papers by Shengjun Li
This network shows the impact of papers produced by Shengjun 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 Shengjun Li. The network helps show where Shengjun Li may publish in the future.
Co-authorship network of co-authors of Shengjun Li
This figure shows the co-authorship network connecting the top 25 collaborators of Shengjun Li. A scholar is included among the top collaborators of Shengjun 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 Shengjun Li. Shengjun 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 51 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 40 | |
| 16 | 5 | |
| 17 | 24 | |
| 18 | A Tentative Study in Teaching Reform of "Artificial Intelligence" | 1 |
| 19 | 23 |
About Shengjun Li
Shengjun Li is a scholar working on Computational Mathematics, Molecular Biology and Rheumatology, having authored 19 papers that have together received 190 indexed citations. Recurring topics across this work include Gene expression and cancer classification (6 papers), Machine Learning in Bioinformatics (3 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Computational Mathematics (12 citations), Genetics (51 citations) and Artificial Intelligence (58 citations). Shengjun Li has collaborated with scholars based in China. Frequent co-authors include Jin‐Xing Liu, Chun-Hou Zheng, Junliang Shang, Ruimin Shen, Yan Sun, Junying Zhang, Ying-Lian Gao, Juan Wang, Chun-Mei Feng and Jielin Jiang. Their work appears in journals such as Expert Systems with Applications, Frontiers in Immunology and Molecules.
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.