Jason Wei
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- AI in cancer detection
- Advanced Text Analysis Techniques
- Health Informatics top 5%
Papers in
-
- Topic Modeling 7
- Natural Language Processing Techniques 6
- AI in cancer detection 5
- Speech and dialogue systems 3
- Text Readability and Simplification 3
-
- Radiomics and Machine Learning in Medical Imaging 4
- Co-authors
- Kai Zou (1 shared paper)Arief A. Suriawinata (8 shared papers)Saeed Hassanpour (8 shared papers)Louis Vaickus (4 shared papers)Bing Ren (6 shared papers)Soroush Vosoughi (4 shared papers)Chenyan Jia (2 shared papers)Ruibo Liu (2 shared papers)
- Journals
- JAMA Network Open (2 papers)Cancer Cytopathology (1 paper)Artificial Intelligence (1 paper)Journal of Pathology Informatics (1 paper)Lecture notes in computer science (3 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Jason Wei
19 papers receiving 1.7k citations
Jason Wei's Hit Papers
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 1.3k
- Health Informatics 46
- Computer Vision and Pattern Recognition 250
- General Social Sciences 31
- Information Systems 208
Countries citing papers authored by Jason Wei
This map shows the geographic impact of Jason Wei'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 Jason Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Wei more than expected).
Fields of papers citing papers by Jason Wei
This network shows the impact of papers produced by Jason Wei. 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 Jason Wei. The network helps show where Jason Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks Hit paper breakdown → | 2019 | 1224 |
| 2 | 2020 | 81 | |
| 3 | 2022 | 73 | |
| 4 | 2019 | 53 | |
| 5 | 2019 | 49 | |
| 6 | 2021 | 46 | |
| 7 | 2021 | 43 | |
| 8 | 2022 | 40 | |
| 9 | 2021 | 39 | |
| 10 | 2021 | 29 | |
| 11 | 2021 | 22 | |
| 12 | 2021 | 11 | |
| 13 | 2025 | 7 | |
| 14 | 2021 | 5 | |
| 15 | Finding a Needle in the Haystack: Attention-Based Classification of High Resolution Microscopy Images. | 2018 | 4 |
| 16 | 2021 | 4 | |
| 17 | 2022 | 3 | |
| 18 | Label Noise Reduction Without Assumptions | 2020 | 2 |
| 19 | 2020 | 2 |
About Jason Wei
Jason Wei is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Oncology, Computer Vision and Pattern Recognition and Surgery, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers), AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Speech and dialogue systems (3 papers), Text Readability and Simplification (3 papers), Colorectal Cancer Screening and Detection (3 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Health Informatics (46 citations), Computer Vision and Pattern Recognition (250 citations), General Social Sciences (31 citations) and Information Systems (208 citations). Jason Wei has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Kai Zou, Arief A. Suriawinata, Saeed Hassanpour, Louis Vaickus, Bing Ren, Soroush Vosoughi, Chenyan Jia, Ruibo Liu, Naofumi Tomita and Jerry Wei. Their work appears in journals such as JAMA Network Open, Cancer Cytopathology, Artificial Intelligence, Journal of Pathology Informatics and Lecture notes in computer science.
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.