Jinlan Fu
Impact in
- Health Informatics top 1%
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
Papers in
-
- Topic Modeling 20
- Natural Language Processing Techniques 19
- Sentiment Analysis and Opinion Mining 3
-
- Expert finding and Q&A systems 2
- Co-authors
- Pengfei Liu (4 shared papers)Graham Neubig (5 shared papers)Weizhe Yuan (3 shared papers)Hiroaki Hayashi (1 shared paper)Zhengbao Jiang (1 shared paper)Xuanjing Huang (9 shared papers)Qi Zhang (5 shared papers)Xiaoyu Liu (1 shared paper)
- Journals
- IEEE Electron Device Letters (2 papers)ACM Computing Surveys (1 paper)ECS Transactions (1 paper)National University of Singapore (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jinlan Fu
24 papers receiving 2.8k citations
Jinlan Fu's Hit Papers
Peers
Comparison fields: 5 of 139
- Health Informatics 121
- Artificial Intelligence 2.1k
- Computer Vision and Pattern Recognition 538
- Software 80
- Information Systems 439
Countries citing papers authored by Jinlan Fu
This map shows the geographic impact of Jinlan Fu'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 Jinlan Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinlan Fu more than expected).
Fields of papers citing papers by Jinlan Fu
This network shows the impact of papers produced by Jinlan Fu. 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 Jinlan Fu. The network helps show where Jinlan Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinlan Fu, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Hit paper breakdown → | 2022 | 2003 |
| 2 | 2018 | 233 | |
| 3 | 2019 | 154 | |
| 4 | 2021 | 78 | |
| 5 | 2021 | 65 | |
| 6 | 2008 | 65 | |
| 7 | 2020 | 43 | |
| 8 | 2020 | 39 | |
| 9 | 2018 | 31 | |
| 10 | 2019 | 29 | |
| 11 | 2021 | 25 | |
| 12 | 2020 | 21 | |
| 13 | 2020 | 18 | |
| 14 | 2021 | 17 | |
| 15 | 2009 | 15 | |
| 16 | 2020 | 13 | |
| 17 | 2007 | 13 | |
| 18 | 2022 | 7 | |
| 19 | 2022 | 5 | |
| 20 | 2019 | 5 |
About Jinlan Fu
Jinlan Fu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Biomedical Engineering, having authored 28 papers that have together received 2.9k indexed citations. Recurring topics across this work include Topic Modeling (20 papers), Natural Language Processing Techniques (19 papers), Multimodal Machine Learning Applications (4 papers), Semiconductor materials and devices (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Nanowire Synthesis and Applications (3 papers) and Expert finding and Q&A systems (2 papers). The work is most often cited by research in Health Informatics (121 citations), Artificial Intelligence (2.1k citations), Computer Vision and Pattern Recognition (538 citations), Software (80 citations) and Information Systems (439 citations). Jinlan Fu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Pengfei Liu, Graham Neubig, Weizhe Yuan, Hiroaki Hayashi, Zhengbao Jiang, Xuanjing Huang, Qi Zhang, Xiaoyu Liu, Zhongyu Wei and Qi Zhang. Their work appears in journals such as IEEE Electron Device Letters, ACM Computing Surveys, ECS Transactions, National University of Singapore and Proceedings of the AAAI Conference on Artificial Intelligence.
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.