Eugene Ie
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Natural Language Processing Techniques
Papers in
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- Topic Modeling 5
- Natural Language Processing Techniques 4
- Speech and dialogue systems 4
- Domain Adaptation and Few-Shot Learning 3
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- Multimodal Machine Learning Applications 7
- Co-authors
- Christina S. Leslie (7 shared papers)Jason Baldridge (8 shared papers)William Stafford Noble (5 shared papers)Jason Weston (5 shared papers)Alexander Ku (5 shared papers)Rui Kuang (3 shared papers)Vihan Jain (9 shared papers)Yoav Freund (3 shared papers)
- Journals
- Journal of Bioinformatics and Computational Biology (1 paper)Bioinformatics (1 paper)BMC Bioinformatics (1 paper)Journal of Machine Learning Research (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Eugene Ie
23 papers receiving 860 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 353
- Artificial Intelligence 384
- Signal Processing 88
- Molecular Biology 324
- Management Science and Operations Research 57
Countries citing papers authored by Eugene Ie
This map shows the geographic impact of Eugene Ie'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 Eugene Ie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Ie more than expected).
Fields of papers citing papers by Eugene Ie
This network shows the impact of papers produced by Eugene Ie. 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 Eugene Ie. The network helps show where Eugene Ie may publish in the future.
Co-authors
The 25 scholars most cited alongside Eugene Ie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 147 | |
| 2 | 2020 | 128 | |
| 3 | 2005 | 128 | |
| 4 | 2008 | 66 | |
| 5 | 2019 | 66 | |
| 6 | 2004 | 55 | |
| 7 | 2019 | 49 | |
| 8 | 2007 | 40 | |
| 9 | 2007 | 29 | |
| 10 | 2021 | 25 | |
| 11 | 2005 | 25 | |
| 12 | 2010 | 22 | |
| 13 | 2019 | 19 | |
| 14 | 2020 | 16 | |
| 15 | 2019 | 15 | |
| 16 | 2020 | 14 | |
| 17 | Effective and General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping | 2019 | 12 |
| 18 | 2020 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2023 | 9 |
About Eugene Ie
Eugene Ie is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Signal Processing and Management Science and Operations Research, having authored 23 papers that have together received 894 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (7 papers), Multimodal Machine Learning Applications (7 papers), Genomics and Phylogenetic Studies (7 papers), Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers), Speech and dialogue systems (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (353 citations), Artificial Intelligence (384 citations), Signal Processing (88 citations), Molecular Biology (324 citations) and Management Science and Operations Research (57 citations). Eugene Ie has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Christina S. Leslie, Jason Baldridge, William Stafford Noble, Jason Weston, Alexander Ku, Rui Kuang, Vihan Jain, Yoav Freund, Peter Anderson and Roma Patel. Their work appears in journals such as Journal of Bioinformatics and Computational Biology, Bioinformatics, BMC Bioinformatics, Journal of Machine Learning Research and Nucleic Acids Research.
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.