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 30
- Natural Language Processing Techniques 18
- Speech and dialogue systems 17
- Co-authors
- Boi Faltings (6 shared papers)Minlie Huang (9 shared papers)Jianping Xu (9 shared papers)Yang Jiang (3 shared papers)Lei Chen (6 shared papers)Zhao Zhang (4 shared papers)Yasheng Wang (16 shared papers)Minlie Huang (2 shared papers)
- Journals
- Mycology: An International Journal on Fungal Biology (2 papers)INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (2 papers)BMC Public Health (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaSwedenUnited Kingdom
In The Last Decade
Fei Mi
66 papers receiving 857 citations
Peers
Comparison fields: 5 of 130
- Artificial Intelligence 313
- Health Informatics 8
- Renewable Energy, Sustainability and the Environment 86
- Materials Chemistry 215
- Pharmacology 74
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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 100 | |
| 2 | 2016 | 64 | |
| 3 | 2019 | 43 | |
| 4 | 2021 | 42 | |
| 5 | 2020 | 38 | |
| 6 | 2022 | 34 | |
| 7 | 2016 | 34 | |
| 8 | 2020 | 30 | |
| 9 | 2022 | 25 | |
| 10 | 2022 | 23 | |
| 11 | 2013 | 22 | |
| 12 | 2015 | 22 | |
| 13 | 2020 | 22 | |
| 14 | 2017 | 20 | |
| 15 | 2021 | 20 | |
| 16 | 2018 | 19 | |
| 17 | 2017 | 18 | |
| 18 | 2021 | 18 | |
| 19 | 2023 | 16 | |
| 20 | 2019 | 16 |
About Fei Mi
Fei Mi is a scholar working on Artificial Intelligence, Molecular Biology, Plant Science, Pharmacology and Materials Chemistry, having authored 72 papers that have together received 878 indexed citations. Recurring topics across this work include Topic Modeling (30 papers), Natural Language Processing Techniques (18 papers), Speech and dialogue systems (17 papers), Mycorrhizal Fungi and Plant Interactions (8 papers), Fungal Biology and Applications (7 papers), Luminescence Properties of Advanced Materials (6 papers), Plant Pathogens and Fungal Diseases (5 papers) and Multimodal Machine Learning Applications (5 papers). The work is most often cited by research in Artificial Intelligence (313 citations), Health Informatics (8 citations), Renewable Energy, Sustainability and the Environment (86 citations), Materials Chemistry (215 citations) and Pharmacology (74 citations). Fei Mi has collaborated with scholars based in China, Sweden and United Kingdom. Frequent co-authors include Boi Faltings, Minlie Huang, Jianping Xu, Yang Jiang, Lei Chen, Zhao Zhang, Yasheng Wang, Minlie Huang, Jiyong Zhang and Pengfei Wang. Their work appears in journals such as Mycology: An International Journal on Fungal Biology, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, BMC Public Health, The Journal of Clinical Endocrinology & Metabolism and PLoS ONE.
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.