Kai Wei
- Artificial Intelligence top 5%
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Computational Theory and Mathematics top 10%
- Topics
- Bioinformatics and Genomic Networks (12 papers)Functional Brain Connectivity Studies (7 papers)Topic Modeling (5 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Kai Wei
32 papers receiving 476 citations
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 243
- Molecular Biology 127
- Computer Vision and Pattern Recognition 64
- Signal Processing 54
- Computational Theory and Mathematics 54
Countries citing papers authored by Kai Wei
This map shows the geographic impact of Kai Wei'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 Kai Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Wei more than expected).
Fields of papers citing papers by Kai Wei
This network shows the impact of papers produced by Kai Wei. 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 Kai Wei. The network helps show where Kai Wei may publish in the future.
Co-authorship network of co-authors of Kai Wei
This figure shows the co-authorship network connecting the top 25 collaborators of Kai Wei. A scholar is included among the top collaborators of Kai Wei 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 Kai Wei. Kai Wei 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 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 14 | |
| 15 | 102 | |
| 16 | Algorithms for optimizing the ratio of submodular functions | 9 |
| 17 | Submodularity in Data Subset Selection and Active Learning | 104 |
| 18 | Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications | 10 |
| 19 | Using Document Summarization Techniques for Speech Data Subset Selection | 29 |
| 20 | 28 |
About Kai Wei
Kai Wei is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Instrumentation, having authored 37 papers that have together received 500 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (12 papers), Functional Brain Connectivity Studies (7 papers) and Topic Modeling (5 papers). The work is most often cited by research in Artificial Intelligence (243 citations), Signal Processing (54 citations) and Agronomy and Crop Science (39 citations). Kai Wei has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jeff Bilmes, Rishabh Iyer, Katrin Kirchhoff, Yuzong Liu, Wei Kong, Shuaiqun Wang, Na Liu, Lin Zhu, Yujian Wang and Hao Zhang. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, IEEE Access and Applied Microbiology and Biotechnology.
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.