C. Wolfe
Impact in
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- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Genetics, Bioinformatics, and Biomedical Research
Papers in
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- Advanced Neural Network Applications 4
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- Domain Adaptation and Few-Shot Learning 2
- Machine Learning and Data Classification 2
- Stochastic Gradient Optimization Techniques 2
- Adversarial Robustness in Machine Learning 1
- Co-authors
- Anastasios Kyrillidis (5 shared papers)Chen Dun (3 shared papers)Richard G. Baraniuk (1 shared paper)Mohammadamin Edrisi (1 shared paper)Bryce Kille (1 shared paper)R. A. Leo Elworth (1 shared paper)Amirali Aghazadeh (1 shared paper)Dinler A. Antunes (1 shared paper)
- Journals
- Nature Communications (1 paper)Proceedings of the VLDB Endowment (1 paper)Machine Learning (1 paper)Proceedings of the Genetic and Evolutionary Computation Conference (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)
- Partner nations
- United StatesSingapore
In The Last Decade
C. Wolfe
6 papers receiving 238 citations
C. Wolfe's Hit Papers
Peers
Comparison fields: 5 of 80
- Health Informatics 6
- Molecular Biology 127
- Artificial Intelligence 59
- Computational Theory and Mathematics 21
- Biophysics 7
Countries citing papers authored by C. Wolfe
This map shows the geographic impact of C. Wolfe'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 C. Wolfe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Wolfe more than expected).
Fields of papers citing papers by C. Wolfe
This network shows the impact of papers produced by C. Wolfe. 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 C. Wolfe. The network helps show where C. Wolfe may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Wolfe, 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 | Current progress and open challenges for applying deep learning across the biosciences Hit paper breakdown → | 2022 | 202 |
| 2 | 2022 | 21 | |
| 3 | 2022 | 11 | |
| 4 | 2023 | 5 | |
| 5 | 2019 | 2 | |
| 6 | 2024 | 1 | |
| 7 | Data Augmentation for Deep Transfer Learning. | 2019 | 1 |
About C. Wolfe
C. Wolfe is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Computational Mechanics and Computational Theory and Mathematics, having authored 7 papers that have together received 243 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (2 papers), Machine Learning and Data Classification (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Cell Image Analysis Techniques (1 paper), Adversarial Robustness in Machine Learning (1 paper), Bioinformatics and Genomic Networks (1 paper) and Laser and Thermal Forming Techniques (1 paper). The work is most often cited by research in Health Informatics (6 citations), Molecular Biology (127 citations), Artificial Intelligence (59 citations), Computational Theory and Mathematics (21 citations) and Biophysics (7 citations). C. Wolfe has collaborated with scholars based in United States and Singapore. Frequent co-authors include Anastasios Kyrillidis, Chen Dun, Richard G. Baraniuk, Mohammadamin Edrisi, Bryce Kille, R. A. Leo Elworth, Amirali Aghazadeh, Dinler A. Antunes, Luay Nakhleh and Nicolae Sapoval. Their work appears in journals such as Nature Communications, Proceedings of the VLDB Endowment, Machine Learning, Proceedings of the Genetic and Evolutionary Computation Conference and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
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.