Yuntian Deng

71 total papers · 2.3k total citations
21 papers, 765 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 765 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 China. 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 717 citations

Hit Papers

Bottom-Up Abstractive Sum... 2018 2026 2020 2023 2018 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yuntian Deng 624 252 60 30 29 21 765
Xiangyu Song 530 0.8× 158 0.6× 140 2.3× 16 0.5× 29 1.0× 28 732
Manuel Montes 474 0.8× 366 1.5× 71 1.2× 25 0.8× 28 1.0× 33 785
Łukasz Kaiser 591 0.9× 227 0.9× 27 0.5× 89 3.0× 37 1.3× 30 767
Wei Bi 727 1.2× 210 0.8× 162 2.7× 31 1.0× 62 2.1× 32 890
Jennifer Gillenwater 493 0.8× 116 0.5× 97 1.6× 33 1.1× 41 1.4× 19 622
Manzil Zaheer 573 0.9× 138 0.5× 96 1.6× 12 0.4× 36 1.2× 21 794
Xiubo Geng 543 0.9× 274 1.1× 222 3.7× 20 0.7× 60 2.1× 42 792
Nikolaos Pappas 498 0.8× 244 1.0× 131 2.2× 11 0.4× 51 1.8× 33 693
Yilun Jin 503 0.8× 81 0.3× 83 1.4× 13 0.4× 32 1.1× 28 681
Yuyin Sun 352 0.6× 354 1.4× 72 1.2× 50 1.7× 45 1.6× 25 647

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

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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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