Chenkai Li
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
-
- Biochemical and Structural Characterization 7
- Machine Learning in Bioinformatics 2
- vaccines and immunoinformatics approaches 2
-
- Antimicrobial Peptides and Activities 8
- Co-authors
- İnanç Birol (9 shared papers)René L. Warren (8 shared papers)Caren C. Helbing (5 shared papers)Linda Hoang (6 shared papers)Caroline E. Cameron (1 shared paper)Simon Houston (1 shared paper)S. Austin Hammond (1 shared paper)Chen Yang (1 shared paper)
- Journals
- Protein Science (3 papers)Antibiotics (2 papers)Microbial Pathogenesis (1 paper)Measurement (1 paper)Physical Communication (1 paper)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Chenkai Li
14 papers receiving 252 citations
Chenkai Li's Hit Papers
Peers
Comparison fields: 5 of 62
- Microbiology 137
- Applied Microbiology and Biotechnology 7
- Molecular Biology 163
- Media Technology 18
- Food Science 23
Countries citing papers authored by Chenkai Li
This map shows the geographic impact of Chenkai 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 Chenkai Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenkai Li more than expected).
Fields of papers citing papers by Chenkai Li
This network shows the impact of papers produced by Chenkai 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 Chenkai Li. The network helps show where Chenkai Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenkai Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogens Hit paper breakdown → | 2022 | 126 |
| 2 | 2021 | 33 | |
| 3 | 2022 | 18 | |
| 4 | 2022 | 11 | |
| 5 | 2022 | 11 | |
| 6 | 2023 | 10 | |
| 7 | 2024 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2024 | 8 | |
| 10 | 2023 | 8 | |
| 11 | 2013 | 4 | |
| 12 | 2021 | 3 | |
| 13 | 2021 | 3 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Chenkai Li
Chenkai Li is a scholar working on Molecular Biology, Microbiology, Media Technology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 18 papers that have together received 256 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (8 papers), Biochemical and Structural Characterization (7 papers), Advanced Image Fusion Techniques (4 papers), Remote-Sensing Image Classification (4 papers), Invertebrate Immune Response Mechanisms (2 papers), Machine Learning in Bioinformatics (2 papers), Infrared Target Detection Methodologies (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Microbiology (137 citations), Applied Microbiology and Biotechnology (7 citations), Molecular Biology (163 citations), Media Technology (18 citations) and Food Science (23 citations). Chenkai Li has collaborated with scholars based in Canada, China and United States. Frequent co-authors include İnanç Birol, René L. Warren, Caren C. Helbing, Linda Hoang, Caroline E. Cameron, Simon Houston, S. Austin Hammond, Chen Yang, Titus Wong and Lauren C. Bergman. Their work appears in journals such as Protein Science, Antibiotics, Microbial Pathogenesis, Measurement and Physical Communication.
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.