Jason Wei

3.4k total citations · 1 hit paper
16 papers, 1.4k citations indexed

About

Jason Wei is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Jason Wei has authored 16 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Oncology. Recurrent topics in Jason Wei's work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Jason Wei is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Jason Wei collaborates with scholars based in United States, United Kingdom and Switzerland. Jason Wei's co-authors include Kai Zou, Arief A. Suriawinata, Louis Vaickus, Saeed Hassanpour, Bing Ren, Soroush Vosoughi, Ruibo Liu, Chenyan Jia, Xiaoying Liu and Naofumi Tomita and has published in prestigious journals such as Artificial Intelligence, JAMA Network Open and Cancer Cytopathology.

In The Last Decade

Jason Wei

16 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

2019 1.1k citations Jason Wei, Kai Zou profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jason Wei United States	11	1.1k	203	173	146	107	16	1.4k
Fabio Massimo Zanzotto Italy	21	1.1k 1.0×	94 0.5×	131 0.8×	100 0.7×	26 0.2×	99	1.4k
Franck Dernoncourt United States	20	951 0.8×	183 0.9×	102 0.6×	99 0.7×	18 0.2×	102	1.4k
Rahul G. Krishnan Canada	6	734 0.6×	340 1.7×	624 3.6×	152 1.0×	30 0.3×	20	1.1k
Jason Martin United States	7	765 0.7×	96 0.5×	113 0.7×	333 2.3×	34 0.3×	12	1.1k
Nazik Alturki Saudi Arabia	16	594 0.5×	135 0.7×	113 0.7×	201 1.4×	34 0.3×	50	1.1k
Antoine Doucet France	15	468 0.4×	202 1.0×	130 0.8×	31 0.2×	89 0.8×	76	848
Hong‐Jun Yoon United States	16	586 0.5×	75 0.4×	48 0.3×	244 1.7×	85 0.8×	68	1.0k
Mathias Lux Austria	19	498 0.4×	973 4.8×	114 0.7×	367 2.5×	432 4.0×	102	1.8k
Wenting Tu China	17	445 0.4×	57 0.3×	118 0.7×	400 2.7×	38 0.4×	58	1.1k
Souad Larabi-Marie-Sainte Saudi Arabia	12	451 0.4×	123 0.6×	107 0.6×	85 0.6×	120 1.1×	38	797

Countries citing papers authored by Jason Wei

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jason Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Wei. A scholar is included among the top collaborators of Jason Wei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jason Wei. Jason Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

1.

Guan, Melody Y., Manas Joglekar, Eric Wallace, et al.. (2025). Deliberative Alignment: Reasoning Enables Safer Language Models. 2(3). 4 indexed citations

2.

Liu, Ruibo, et al.. (2022). Quantifying and alleviating political bias in language models. Artificial Intelligence. 304. 103654–103654. 35 indexed citations

3.

Schuurmans, Dale, et al.. (2022). Chain-Of-Thought Prompting Elicits Reasoning in Large Language Models. 24824–24837. 14 indexed citations

4.

Wei, Jason, et al.. (2021). Text Augmentation in a Multi-Task View. 2888–2894. 5 indexed citations

5.

Liu, Ruibo, et al.. (2021). Mitigating Political Bias in Language Models through Reinforced Calibration. Proceedings of the AAAI Conference on Artificial Intelligence. 35(17). 14857–14866. 42 indexed citations

6.

Wei, Jerry, Arief A. Suriawinata, Bing Ren, et al.. (2021). Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification. 2472–2482. 34 indexed citations

7.

Wei, Jason, Dan Garrette, Tal Linzen, & Ellie Pavlick. (2021). Frequency Effects on Syntactic Rule Learning in Transformers. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 932–948. 29 indexed citations

8.

Wei, Jason, et al.. (2021). Linguistic Complexity Loss in Text-Based Therapy. 4450–4459. 4 indexed citations

9.

Wei, Jason, Clara Meister, & Ryan Cotterell. (2021). A Cognitive Regularizer for Language Modeling. 5191–5202. 11 indexed citations

10.

Nasir-Moin, Mustafa, Arief A. Suriawinata, Bing Ren, et al.. (2021). Evaluation of an Artificial Intelligence–Augmented Digital System for Histologic Classification of Colorectal Polyps. JAMA Network Open. 4(11). e2135271–e2135271. 22 indexed citations

11.

Wei, Jason, Arief A. Suriawinata, Louis Vaickus, et al.. (2020). Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic Slides. JAMA Network Open. 3(4). e203398–e203398. 74 indexed citations

12.

Wei, Jason. (2020). Label Noise Reduction Without Assumptions. 2 indexed citations

13.

Wei, Jason, Jerry Wei, Christopher R. Jackson, et al.. (2019). Automated Detection of Celiac Disease on Duodenal Biopsy Slides: A Deep Learning Approach. Journal of Pathology Informatics. 10(1). 7–7. 46 indexed citations

14.

Wei, Jason & Kai Zou. (2019). EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks. 6381–6387. 1061 indexed citations breakdown →

15.

Vaickus, Louis, Arief A. Suriawinata, Jason Wei, & Xiaoying Liu. (2019). Automating the Paris System for urine cytopathology—A hybrid deep‐learning and morphometric approach. Cancer Cytopathology. 127(2). 98–115. 48 indexed citations

16.

Tomita, Naofumi, Behnaz Abdollahi, Jason Wei, et al.. (2018). Finding a Needle in the Haystack: Attention-Based Classification of High Resolution Microscopy Images.. arXiv (Cornell University). 4 indexed citations

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.

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