Yuntian Deng

2.3k total citations · 1 hit paper
21 papers, 771 citations indexed

About

Yuntian Deng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Yuntian Deng has authored 21 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Automotive Engineering. Recurrent topics in Yuntian Deng's work include Topic Modeling (12 papers), Natural Language Processing Techniques (10 papers) and Handwritten Text Recognition Techniques (4 papers). Yuntian Deng is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (10 papers) and Handwritten Text Recognition Techniques (4 papers). Yuntian Deng collaborates with scholars based in United States, Israel and France. Yuntian Deng's co-authors include Alexander M. Rush, Sebastian Gehrmann, Eric P. Xing, Zachary M. Ziegler, Pengtao Xie, Zhiting Hu, Yoon Kim, Anssi Kanervisto, Jeffrey Ling and Po-Yao Huang and has published in prestigious journals such as Transportation Research Part B Methodological, Journal of Management Science and Engineering and Data Archiving and Networked Services (DANS).

In The Last Decade

Yuntian Deng

20 papers receiving 725 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.

Bottom-Up Abstractive Summarization

2018 372 citations Sebastian Gehrmann, Yuntian Deng et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuntian Deng United States	11	626	251	63	29	29	21	771
Chengzhang Zhu China	11	263 0.4×	162 0.6×	89 1.4×	22 0.8×	9 0.3×	28	389
Bo Long United States	11	258 0.4×	126 0.5×	96 1.5×	50 1.7×	25 0.9×	23	406
U. V. Kulkarni India	12	228 0.4×	156 0.6×	47 0.7×	22 0.8×	15 0.5×	52	383
Weidong Xiao China	13	321 0.5×	80 0.3×	105 1.7×	39 1.3×	18 0.6×	85	601
Xuancheng Ren China	15	553 0.9×	282 1.1×	52 0.8×	48 1.7×	6 0.2×	41	739
Yiqun Zhang China	13	287 0.5×	149 0.6×	89 1.4×	31 1.1×	33 1.1×	54	435
Hakan Altınçay Cyprus	14	348 0.6×	85 0.3×	110 1.7×	65 2.2×	43 1.5×	40	472
Minhao Cheng United States	12	379 0.6×	95 0.4×	38 0.6×	69 2.4×	11 0.4×	28	468
Inmar E. Givoni Canada	7	196 0.3×	121 0.5×	49 0.8×	30 1.0×	12 0.4×	13	330

Countries citing papers authored by Yuntian Deng

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

20 of 20 papers shown

1.

Singh, Chandan, John X. Morris, Alexander M. Rush, Jianfeng Gao, & Yuntian Deng. (2023). Tree Prompting: Efficient Task Adaptation without Fine-Tuning. 6253–6267. 2 indexed citations

2.

Deng, Yuntian, et al.. (2022). Incentive design and profit sharing in multi-modal transportation networks. Transportation Research Part B Methodological. 163. 1–21. 13 indexed citations

3.

Deng, Yuntian, Abhishek Gupta, & Ness B. Shroff. (2022). Fleet sizing and charger allocation in electric vehicle sharing systems. 22. 100210–100210. 7 indexed citations

4.

Deng, Yuntian, Volodymyr Kuleshov, & Alexander M. Rush. (2022). Model Criticism for Long-Form Text Generation. 11887–11912. 2 indexed citations

5.

Chiu, Justin, Yuntian Deng, & Alexander M. Rush. (2022). Low-Rank Constraints for Fast Inference in Structured Models. arXiv (Cornell University). 34.

6.

Bakhtin, Anton, Yuntian Deng, Sam Gross, et al.. (2020). Energy-Based Models for Text. arXiv (Cornell University). 2 indexed citations

7.

Deng, Yuntian & Alexander M. Rush. (2020). Cascaded Text Generation with Markov Transformers. Neural Information Processing Systems. 33. 170–181. 1 indexed citations

8.

Tambe, Thierry, En-Yu Yang, Zishen Wan, et al.. (2020). Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference. 1–6. 38 indexed citations

9.

Deng, Yuntian, et al.. (2020). Residual Energy-Based Models for Text Generation. arXiv (Cornell University). 3 indexed citations

10.

Ziegler, Zachary M., Yuntian Deng, & Alexander M. Rush. (2019). Neural Linguistic Steganography. 1210–1215. 69 indexed citations

11.

Deng, Yuntian, David S. Rosenberg, & Gideon Mann. (2019). Challenges in End-to-End Neural Scientific Table Recognition. 894–901. 20 indexed citations

12.

Klein, Guillaume, Yoon Kim, Yuntian Deng, et al.. (2018). OpenNMT: Neural Machine Translation Toolkit. arXiv (Cornell University). 1. 177–184. 27 indexed citations

13.

Gehrmann, Sebastian, Yuntian Deng, & Alexander M. Rush. (2018). Bottom-Up Abstractive Summarization. 4098–4109. 372 indexed citations breakdown →

14.

Deng, Yuntian, Yoon Kim, Justin Chiu, Demi Guo, & Alexander M. Rush. (2018). Latent Alignment and Variational Attention. arXiv (Cornell University). 31. 9712–9724. 31 indexed citations

15.

Xie, Pengtao, Yuntian Deng, Yi Zhou, et al.. (2017). Learning Latent Space Models with Angular Constraints. International Conference on Machine Learning. 3799–3810. 9 indexed citations

16.

Deng, Yuntian, Anssi Kanervisto, Jeffrey Ling, & Alexander M. Rush. (2017). Image-to-Markup Generation with Coarse-to-Fine Attention. International Conference on Machine Learning. 980–989. 42 indexed citations

17.

Yang, Zichao, Zhiting Hu, Yuntian Deng, Chris Dyer, & Alex Smola. (2017). Neural Machine Translation with Recurrent Attention Modeling. 29 indexed citations

18.

Hu, Zhiting, et al.. (2015). Entity Hierarchy Embedding. 1292–1300. 40 indexed citations

19.

Xie, Pengtao, Yuntian Deng, & Eric P. Xing. (2015). Diversifying Restricted Boltzmann Machine for Document Modeling. 1315–1324. 55 indexed citations

20.

Deng, Yuntian, et al.. (2011). The Ecofys Energy Scenario. Data Archiving and Networked Services (DANS). 89–253. 3 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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