Wenpeng Yin
- Artificial Intelligence top 0.5%
- Topic Modeling 45
- Natural Language Processing Techniques 40
- Advanced Text Analysis Techniques 12
- Speech and dialogue systems 6
- Sentiment Analysis and Opinion Mining 6
- Text and Document Classification Technologies 6
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- Multimodal Machine Learning Applications 13
- Information Systems top 2%
- General Social Sciences top 2%
- Health Informatics top 10%
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- Cardiac Arrest and Resuscitation 6
Wenpeng Yin
61 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Artificial Intelligence 1.8k
- Computer Vision and Pattern Recognition 361
- Information Systems 311
- General Social Sciences 29
- Health Informatics 12
Countries citing papers authored by Wenpeng Yin
This map shows the geographic impact of Wenpeng Yin'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 Wenpeng Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenpeng Yin more than expected).
Fields of papers citing papers by Wenpeng Yin
This network shows the impact of papers produced by Wenpeng Yin. 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 Wenpeng Yin. The network helps show where Wenpeng Yin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wenpeng Yin, 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 | 2024 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 8 | |
| 8 | 2021 | 22 | |
| 9 | 2020 | 49 | |
| 10 | Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approachbreakdown → | 2019 | 273 |
| 11 | 2019 | 36 | |
| 12 | Attentive Convolution | 2017 | 5 |
| 13 | Optimizing sentence modeling and selection for document summarization | 2015 | 55 |
| 14 | 2015 | 4 | |
| 15 | 2014 | 8 | |
| 16 | 2013 | 26 | |
| 17 | A Supervised Aggregation Framework for Multi-Document Summarization | 2012 | 9 |
| 18 | SentTopic-MultiRank: a Novel Ranking Model for Multi-Document Summarization | 2012 | 7 |
| 19 | 2012 | 39 | |
| 20 | RelationListwise for Query-Focused Multi-Document Summarization | 2012 | 1 |
About Wenpeng Yin
Wenpeng Yin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Emergency Medicine, having authored 66 papers that have together received 2.3k indexed citations. Recurring topics across this work include Topic Modeling (45 papers), Natural Language Processing Techniques (40 papers), Multimodal Machine Learning Applications (13 papers), Advanced Text Analysis Techniques (12 papers), Speech and dialogue systems (6 papers), Sentiment Analysis and Opinion Mining (6 papers), Cardiac Arrest and Resuscitation (6 papers) and Text and Document Classification Technologies (6 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Computer Vision and Pattern Recognition (361 citations) and Information Systems (311 citations). Wenpeng Yin has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Hinrich Schütze, Bowen Zhou, Bing Xiang, Dan Roth, Yulong Pei, Dragomir Radev, Caiming Xiong, Kazi Saidul Hasan, Cícero dos Santos and Mo Yu. Their work appears in journals such as IEEE Access, IEEE Transactions on Knowledge and Data Engineering and Resuscitation.
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.