Fei Mi
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Domain Adaptation and Few-Shot Learning
Papers in
-
- Topic Modeling 33
- Natural Language Processing Techniques 20
- Speech and dialogue systems 18
- Hate Speech and Cyberbullying Detection 5
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- Fungal Biology and Applications 6
- Co-authors
- Boi Faltings (6 shared papers)Minlie Huang (11 shared papers)Boi V. Faltings (3 shared papers)Mengjie Zhao (4 shared papers)Jianping Xu (8 shared papers)Yasheng Wang (18 shared papers)Yang Jiang (2 shared papers)Tao Lin (2 shared papers)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (2 papers)Mycology: An International Journal on Fungal Biology (2 papers)Frontiers in Microbiology (2 papers)INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (2 papers)BMC Public Health (2 papers)
- Partner nations
- ChinaSwedenUnited Kingdom
In The Last Decade
Fei Mi
72 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 130
- Artificial Intelligence 443
- Health Informatics 10
- Computer Vision and Pattern Recognition 117
- Renewable Energy, Sustainability and the Environment 79
- Pharmacology 72
Countries citing papers authored by Fei Mi
This map shows the geographic impact of Fei Mi'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 Fei Mi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Mi more than expected).
Fields of papers citing papers by Fei Mi
This network shows the impact of papers produced by Fei Mi. 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 Fei Mi. The network helps show where Fei Mi may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Mi, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 106 | |
| 2 | 2016 | 67 | |
| 3 | 2019 | 53 | |
| 4 | 2022 | 50 | |
| 5 | 2021 | 48 | |
| 6 | 2020 | 43 | |
| 7 | 2020 | 42 | |
| 8 | 2016 | 38 | |
| 9 | 2020 | 37 | |
| 10 | 2015 | 31 | |
| 11 | 2022 | 31 | |
| 12 | 2022 | 29 | |
| 13 | 2020 | 26 | |
| 14 | 2013 | 26 | |
| 15 | 2021 | 23 | |
| 16 | 2017 | 21 | |
| 17 | 2023 | 20 | |
| 18 | 2021 | 19 | |
| 19 | 2024 | 18 | |
| 20 | 2022 | 18 |
About Fei Mi
Fei Mi is a scholar working on Artificial Intelligence, Pharmacology, Computer Vision and Pattern Recognition, Information Systems and Nephrology, having authored 79 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (33 papers), Natural Language Processing Techniques (20 papers), Speech and dialogue systems (18 papers), Mycorrhizal Fungi and Plant Interactions (7 papers), Fungal Biology and Applications (6 papers), Multimodal Machine Learning Applications (6 papers), Hate Speech and Cyberbullying Detection (5 papers) and Luminescence Properties of Advanced Materials (5 papers). The work is most often cited by research in Artificial Intelligence (443 citations), Health Informatics (10 citations), Computer Vision and Pattern Recognition (117 citations), Renewable Energy, Sustainability and the Environment (79 citations) and Pharmacology (72 citations). Fei Mi has collaborated with scholars based in China, Sweden and United Kingdom. Frequent co-authors include Boi Faltings, Minlie Huang, Boi V. Faltings, Mengjie Zhao, Jianping Xu, Yasheng Wang, Yang Jiang, Tao Lin, Jiyong Zhang and Lei Chen. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Mycology: An International Journal on Fungal Biology, Frontiers in Microbiology, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and BMC Public Health.
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.