Chenkai Li
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
Papers in
-
- Antimicrobial Peptides and Activities 8
-
- Biochemical and Structural Characterization 5
- vaccines and immunoinformatics approaches 2
- Co-authors
- İnanç Birol (9 shared papers)René L. Warren (8 shared papers)Caren C. Helbing (5 shared papers)Linda Hoang (6 shared papers)Chen Yang (1 shared paper)Caroline E. Cameron (1 shared paper)Titus Wong (1 shared paper)S. Austin Hammond (1 shared paper)
- Journals
- Protein Science (3 papers)Antibiotics (2 papers)Remote Sensing (1 paper)Wireless Networks (1 paper)IEEE Access (1 paper)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Chenkai Li
15 papers receiving 288 citations
Chenkai Li's Hit Papers
Peers
Comparison fields: 5 of 61
- Microbiology 153
- Applied Microbiology and Biotechnology 7
- Media Technology 22
- Molecular Biology 159
- Clinical Biochemistry 8
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 | 140 |
| 2 | 2021 | 35 | |
| 3 | 2022 | 18 | |
| 4 | 2024 | 16 | |
| 5 | 2024 | 13 | |
| 6 | 2022 | 13 | |
| 7 | 2022 | 12 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 10 | |
| 10 | 2022 | 10 | |
| 11 | 2013 | 4 | |
| 12 | 2021 | 3 | |
| 13 | 2021 | 3 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 0 |
About Chenkai Li
Chenkai Li is a scholar working on Microbiology, Molecular Biology, Media Technology, Aerospace Engineering and Electrical and Electronic Engineering, having authored 17 papers that have together received 292 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (8 papers), Biochemical and Structural Characterization (5 papers), Advanced Image Fusion Techniques (4 papers), Remote-Sensing Image Classification (4 papers), Infrared Target Detection Methodologies (2 papers), vaccines and immunoinformatics approaches (2 papers), Invertebrate Immune Response Mechanisms (2 papers) and Optical Systems and Laser Technology (1 paper). The work is most often cited by research in Microbiology (153 citations), Applied Microbiology and Biotechnology (7 citations), Media Technology (22 citations), Molecular Biology (159 citations) and Clinical Biochemistry (8 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, Chen Yang, Caroline E. Cameron, Titus Wong, S. Austin Hammond, Lauren C. Bergman and Simon Houston. Their work appears in journals such as Protein Science, Antibiotics, Remote Sensing, Wireless Networks and IEEE Access.
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.