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 21
- Natural Language Processing Techniques 19
- Sentiment Analysis and Opinion Mining 4
- Intelligent Tutoring Systems and Adaptive Learning 2
- Co-authors
- Pengfei Liu (4 shared papers)Graham Neubig (5 shared papers)Weizhe Yuan (3 shared papers)Zhengbao Jiang (1 shared paper)Hiroaki Hayashi (1 shared paper)Xuanjing Huang (9 shared papers)Qi Zhang (6 shared papers)Xiaoyu Liu (1 shared paper)
- Journals
- IEEE Electron Device Letters (2 papers)ACM Computing Surveys (1 paper)Lecture notes in computer science (1 paper)ECS Transactions (1 paper)National University of Singapore (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jinlan Fu
26 papers receiving 3.2k citations
Jinlan Fu's Hit Papers
Peers
Comparison fields: 5 of 140
- Health Informatics 124
- Artificial Intelligence 2.3k
- Computer Vision and Pattern Recognition 625
- Information Systems 498
- Software 89
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 30 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 | 2329 |
| 2 | 2018 | 265 | |
| 3 | 2019 | 182 | |
| 4 | 2021 | 95 | |
| 5 | 2021 | 75 | |
| 6 | 2008 | 65 | |
| 7 | 2020 | 44 | |
| 8 | 2020 | 43 | |
| 9 | 2018 | 35 | |
| 10 | 2019 | 32 | |
| 11 | 2021 | 26 | |
| 12 | 2020 | 24 | |
| 13 | 2020 | 22 | |
| 14 | 2021 | 17 | |
| 15 | 2009 | 16 | |
| 16 | 2020 | 13 | |
| 17 | 2007 | 13 | |
| 18 | 2022 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2019 | 6 |
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 30 papers that have together received 3.3k indexed citations. Recurring topics across this work include Topic Modeling (21 papers), Natural Language Processing Techniques (19 papers), Multimodal Machine Learning Applications (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Semiconductor materials and devices (4 papers), Nanowire Synthesis and Applications (3 papers) and Intelligent Tutoring Systems and Adaptive Learning (2 papers). The work is most often cited by research in Health Informatics (124 citations), Artificial Intelligence (2.3k citations), Computer Vision and Pattern Recognition (625 citations), Information Systems (498 citations) and Software (89 citations). Jinlan Fu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Pengfei Liu, Graham Neubig, Weizhe Yuan, Zhengbao Jiang, Hiroaki Hayashi, 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, Lecture notes in computer science, ECS Transactions and National University of Singapore.
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.