Lijun Cai
- Artificial Intelligence top 10%
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Information Systems
- Computer Networks and Communications
- Topics
- Cloud Computing and Resource Management (3 papers)Anomaly Detection Techniques and Applications (3 papers)Advanced Multi-Objective Optimization Algorithms (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Geoscience and Remote SensingFrontiers in Microbiology
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Lijun Cai
41 papers receiving 352 citations
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 135
- Molecular Biology 54
- Computational Theory and Mathematics 45
- Information Systems 40
- Computer Networks and Communications 36
Countries citing papers authored by Lijun Cai
This map shows the geographic impact of Lijun Cai'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 Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lijun Cai more than expected).
Fields of papers citing papers by Lijun Cai
This network shows the impact of papers produced by Lijun Cai. 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 Cai. The network helps show where Lijun Cai may publish in the future.
Co-authorship network of co-authors of Lijun Cai
This figure shows the co-authorship network connecting the top 25 collaborators of Lijun Cai. A scholar is included among the top collaborators of Lijun Cai 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 Cai. Lijun Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | TLR3 Expression is a Potential Prognosis Biomarker and Shapes the Immune-Active Tumor Microenvironment in Esophageal Squamous Cell Carcinoma | 13 |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 17 | |
| 13 | 11 | |
| 14 | S-SMOTE Method in Class Imbalance Data Sets | 1 |
| 15 | ISMOTE algorithm for imbalanced data sets | 2 |
| 16 | 1 | |
| 17 | Sample classification algorithm based on G-ICA | 1 |
| 18 | 26 | |
| 19 | 10 | |
| 20 | 5 |
About Lijun Cai
Lijun Cai is a scholar working on Ecological Modeling, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 42 papers that have together received 365 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Artificial Intelligence (135 citations), Computational Theory and Mathematics (45 citations) and Information Systems (40 citations). Lijun Cai has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Wen Zhu, Bo Liao, Min Chen, Wei Xia, Lei Huang, Peng Wang, Yi Sun, Bo Liao, Xiangtao Chen and Lei Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Frontiers in Microbiology.
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.