Yuntian Deng
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Signal Processing
- Computational Theory and Mathematics
- Co-authors
- Alexander M. RushSebastian GehrmannEric P. XingZachary M. ZieglerPengtao XieZhiting HuYoon KimJeffrey Ling
- Topics
- Topic Modeling (12 papers)Natural Language Processing Techniques (10 papers)Handwritten Text Recognition Techniques (4 papers)
- Journals
- Transportation Research Part B MethodologicalJournal of Management Science and EngineeringData Archiving and Networked Services (DANS)
- Partner nations
- United StatesIsraelAustralia
In The Last Decade
Yuntian Deng
20 papers receiving 725 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 626
- Computer Vision and Pattern Recognition 251
- Information Systems 63
- Signal Processing 29
- Computational Theory and Mathematics 29
Countries citing papers authored by Yuntian Deng
This map shows the geographic impact of Yuntian Deng'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 Yuntian Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuntian Deng more than expected).
Fields of papers citing papers by Yuntian Deng
This network shows the impact of papers produced by Yuntian Deng. 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 Yuntian Deng. The network helps show where Yuntian Deng may publish in the future.
Co-authorship network of co-authors of Yuntian Deng
This figure shows the co-authorship network connecting the top 25 collaborators of Yuntian Deng. A scholar is included among the top collaborators of Yuntian Deng 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 Yuntian Deng. Yuntian Deng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 13 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | Cascaded Text Generation with Markov Transformers | 1 |
| 8 | Energy-Based Models for Text | 2 |
| 9 | 3 | |
| 10 | 38 | |
| 11 | 69 | |
| 12 | 20 | |
| 13 | OpenNMT: Neural Machine Translation Toolkit | 27 |
| 14 | Bottom-Up Abstractive Summarizationbreakdown → | 372 |
| 15 | 31 | |
| 16 | Learning Latent Space Models with Angular Constraints | 9 |
| 17 | Image-to-Markup Generation with Coarse-to-Fine Attention | 42 |
| 18 | 29 | |
| 19 | 40 | |
| 20 | The Ecofys Energy Scenario | 3 |
About Yuntian Deng
Yuntian Deng is a scholar working on General Social Sciences, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 771 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (10 papers) and Handwritten Text Recognition Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (626 citations), Computer Vision and Pattern Recognition (251 citations) and Computational Mathematics (4 citations). Yuntian Deng has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include Alexander M. Rush, Sebastian Gehrmann, Eric P. Xing, Zachary M. Ziegler, Pengtao Xie, Zhiting Hu, Yoon Kim, Jeffrey Ling, Anssi Kanervisto and Po-Yao Huang. Their work appears in journals such as Transportation Research Part B Methodological, Journal of Management Science and Engineering and Data Archiving and Networked Services (DANS).
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.