Jiyi Li
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Artificial Intelligence top 5%
- Topic Modeling
- Text and Document Classification Technologies
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
Papers in
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- Topic Modeling 24
- Natural Language Processing Techniques 11
- Sentiment Analysis and Opinion Mining 9
- Speech Recognition and Synthesis 7
- Text and Document Classification Technologies 7
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- Multimodal Machine Learning Applications 8
- Image Retrieval and Classification Techniques 7
- Co-authors
- Fumiyo Fukumoto (27 shared papers)Hisashi Kashima (12 shared papers)Yukino Baba (7 shared papers)Jia Su (10 shared papers)Qinglin Yu (7 shared papers)Hailong Sun (3 shared papers)Dongjin Yu (4 shared papers)Rongbo Wang (2 shared papers)
In The Last Decade
Jiyi Li
71 papers receiving 588 citations
Peers
Comparison fields: 5 of 94
- Computer Science Applications 74
- Artificial Intelligence 286
- Signal Processing 48
- Information Systems 99
- Transportation 25
Countries citing papers authored by Jiyi Li
This map shows the geographic impact of Jiyi Li'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 Jiyi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiyi Li more than expected).
Fields of papers citing papers by Jiyi Li
This network shows the impact of papers produced by Jiyi Li. 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 Jiyi Li. The network helps show where Jiyi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiyi Li, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 77 | |
| 2 | 2019 | 47 | |
| 3 | 2020 | 40 | |
| 4 | 2020 | 27 | |
| 5 | 2023 | 22 | |
| 6 | 2023 | 22 | |
| 7 | 2022 | 22 | |
| 8 | 2019 | 20 | |
| 9 | 2022 | 20 | |
| 10 | 2021 | 17 | |
| 11 | 2024 | 17 | |
| 12 | 2018 | 15 | |
| 13 | 2017 | 14 | |
| 14 | 2024 | 14 | |
| 15 | 2021 | 12 | |
| 16 | 2024 | 11 | |
| 17 | A New Point Pattern Matching Method for Palmprint. | 2007 | 10 |
| 18 | 2018 | 10 | |
| 19 | 2019 | 10 | |
| 20 | 2022 | 9 |
About Jiyi Li
Jiyi Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Science Applications, Information Systems and Signal Processing, having authored 86 papers that have together received 600 indexed citations. Recurring topics across this work include Topic Modeling (24 papers), Mobile Crowdsensing and Crowdsourcing (12 papers), Natural Language Processing Techniques (11 papers), Sentiment Analysis and Opinion Mining (9 papers), Multimodal Machine Learning Applications (8 papers), Speech Recognition and Synthesis (7 papers), Image Retrieval and Classification Techniques (7 papers) and Text and Document Classification Technologies (7 papers). The work is most often cited by research in Computer Science Applications (74 citations), Artificial Intelligence (286 citations), Signal Processing (48 citations), Information Systems (99 citations) and Transportation (25 citations). Jiyi Li has collaborated with scholars based in Japan, China and Russia. Frequent co-authors include Fumiyo Fukumoto, Hisashi Kashima, Yukino Baba, Jia Su, Qinglin Yu, Hailong Sun, Dongjin Yu, Rongbo Wang, Xiaojing Li and Wenshuo Yang. Their work appears in journals such as Journal of Clinical Laboratory Analysis, Free Radical Biology and Medicine, European Journal of Pharmacology, Lecture notes in computer science and ACM Transactions on Multimedia Computing Communications and Applications.
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.