Danqi Chen
Impact in
- Artificial Intelligence top 0.05%
- Topic Modeling
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Speech and dialogue systems
- Sentiment Analysis and Opinion Mining
- Information Systems top 0.2%
- Information Retrieval and Search Behavior
Papers in
-
- Topic Modeling 48
- Natural Language Processing Techniques 10
- Domain Adaptation and Few-Shot Learning 8
- Privacy-Preserving Technologies in Data 4
- Adversarial Robustness in Machine Learning 3
- Advanced Graph Neural Networks 3
- Reinforcement Learning in Robotics 2
-
- Information Retrieval and Search Behavior 9
- Co-authors
- Christopher D. Manning (9 shared papers)Tianyu Gao (5 shared papers)Xingcheng Yao (1 shared paper)Kristina Toutanova (2 shared papers)Zexuan Zhong (12 shared papers)Andrew Ng (1 shared paper)Richard Socher (1 shared paper)Sewon Min (3 shared papers)
- Journals
- Theory and applications of categories (2 papers)Transactions of the Association for Computational Linguistics (2 papers)Environmental Science & Technology Letters (1 paper)Americanae (AECID Library) (1 paper)Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (4 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Danqi Chen
64 papers receiving 13.3k citations
Danqi Chen's Hit Papers
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 11k
- Information Systems 2.2k
- Computer Vision and Pattern Recognition 1k
- Health Informatics 96
- Computational Mathematics 12
Countries citing papers authored by Danqi Chen
This map shows the geographic impact of Danqi Chen'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 Danqi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danqi Chen more than expected).
Fields of papers citing papers by Danqi Chen
This network shows the impact of papers produced by Danqi Chen. 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 Danqi Chen. The network helps show where Danqi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Danqi Chen, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dense Passage Retrieval for Open-Domain Question Answering Hit paper breakdown → | 2020 | 1856 |
| 2 | SimCSE: Simple Contrastive Learning of Sentence Embeddings Hit paper breakdown → | 2021 | 1796 |
| 3 | A Fast and Accurate Dependency Parser using Neural Networks Hit paper breakdown → | 2014 | 1280 |
| 4 | SpanBERT: Improving Pre-training by Representing and Predicting Spans Hit paper breakdown → | 2020 | 1265 |
| 5 | Reasoning With Neural Tensor Networks for Knowledge Base Completion Hit paper breakdown → | 2013 | 1133 |
| 6 | Reading Wikipedia to Answer Open-Domain Questions Hit paper breakdown → | 2017 | 1064 |
| 7 | Making Pre-trained Language Models Better Few-shot Learners Hit paper breakdown → | 2021 | 953 |
| 8 | Observed versus latent features for knowledge base and text inference Hit paper breakdown → | 2015 | 672 |
| 9 | CoQA: A Conversational Question Answering Challenge Hit paper breakdown → | 2019 | 672 |
| 10 | Position-aware Attention and Supervised Data Improve Slot Filling Hit paper breakdown → | 2017 | 578 |
| 11 | Representing Text for Joint Embedding of Text and Knowledge Bases Hit paper breakdown → | 2015 | 513 |
| 12 | A Frustratingly Easy Approach for Entity and Relation Extraction Hit paper breakdown → | 2021 | 335 |
| 13 | A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task Hit paper breakdown → | 2016 | 333 |
| 14 | 2021 | 199 | |
| 15 | 2019 | 156 | |
| 16 | Enabling Large Language Models to Generate Text with Citations Hit paper breakdown → | 2023 | 105 |
| 17 | 2019 | 95 | |
| 18 | 2022 | 94 | |
| 19 | 2023 | 80 | |
| 20 | 2021 | 62 |
About Danqi Chen
Danqi Chen is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Science Applications and Statistical and Nonlinear Physics, having authored 66 papers that have together received 13.9k indexed citations. Recurring topics across this work include Topic Modeling (48 papers), Natural Language Processing Techniques (10 papers), Information Retrieval and Search Behavior (9 papers), Domain Adaptation and Few-Shot Learning (8 papers), Privacy-Preserving Technologies in Data (4 papers), Adversarial Robustness in Machine Learning (3 papers), Advanced Graph Neural Networks (3 papers) and Reinforcement Learning in Robotics (2 papers). The work is most often cited by research in Artificial Intelligence (11k citations), Information Systems (2.2k citations), Computer Vision and Pattern Recognition (1k citations), Health Informatics (96 citations) and Computational Mathematics (12 citations). Danqi Chen has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Christopher D. Manning, Tianyu Gao, Xingcheng Yao, Kristina Toutanova, Zexuan Zhong, Andrew Ng, Richard Socher, Sewon Min, Antoine Bordes and Jason Weston. Their work appears in journals such as Theory and applications of categories, Transactions of the Association for Computational Linguistics, Environmental Science & Technology Letters, Americanae (AECID Library) and Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT).
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.