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
- Topic Modeling
Papers in
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- Topic Modeling 5
- Speech and dialogue systems 4
- Natural Language Processing Techniques 4
- Algorithms and Data Compression 3
- 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
- Bioinformatics (1 paper)Nucleic Acids Research (1 paper)Journal of Bioinformatics and Computational Biology (1 paper)Journal of Machine Learning Research (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Eugene Ie
23 papers receiving 866 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 357
- Artificial Intelligence 382
- Signal Processing 88
- Management Science and Operations Research 57
- Molecular Biology 304
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 | 132 | |
| 3 | 2005 | 128 | |
| 4 | 2019 | 66 | |
| 5 | 2008 | 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 | 17 | |
| 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 | 2023 | 10 | |
| 20 | 2021 | 10 |
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 900 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (7 papers), Machine Learning in Bioinformatics (7 papers), Topic Modeling (5 papers), Genomics and Phylogenetic Studies (5 papers), Speech and dialogue systems (4 papers), Natural Language Processing Techniques (4 papers), Algorithms and Data Compression (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (357 citations), Artificial Intelligence (382 citations), Signal Processing (88 citations), Management Science and Operations Research (57 citations) and Molecular Biology (304 citations). Eugene Ie has collaborated with scholars based in United States, Germany and United Kingdom. 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 Bioinformatics, Nucleic Acids Research, Journal of Bioinformatics and Computational Biology, Journal of Machine Learning Research and BMC Bioinformatics.
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.