Yiheng Xu

35 total papers · 1.9k total citations
10 papers, 540 citations indexed

About

Yiheng Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Yiheng Xu has authored 10 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 1 paper in Control and Systems Engineering. Recurrent topics in Yiheng Xu's work include Handwritten Text Recognition Techniques (5 papers), Natural Language Processing Techniques (3 papers) and Multimodal Machine Learning Applications (3 papers). Yiheng Xu is often cited by papers focused on Handwritten Text Recognition Techniques (5 papers), Natural Language Processing Techniques (3 papers) and Multimodal Machine Learning Applications (3 papers). Yiheng Xu collaborates with scholars based in China and United States. Yiheng Xu's co-authors include Furu Wei, Tengchao Lv, Cha Zhang, Lei Cui, Yongji Wu, Le Wu, Defu Lian, Enhong Chen, Guoxin Wang and Yijuan Lu and has published in prestigious journals such as Science and Technology of Welding & Joining, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Yiheng Xu

8 papers receiving 514 citations

Hit Papers

LayoutLMv2: Multi-modal P... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Yiheng Xu 312 281 82 41 30 10 540
Haiping Yu 221 0.7× 194 0.7× 178 2.2× 20 0.5× 16 0.5× 14 483
Dylan Anderson 294 0.9× 264 0.9× 40 0.5× 12 0.3× 38 1.3× 10 553
Dara Bahri 205 0.7× 339 1.2× 61 0.7× 13 0.3× 62 2.1× 15 612
Yin Zhu 154 0.5× 234 0.8× 56 0.7× 15 0.4× 36 1.2× 13 475
Lipo Wang 117 0.4× 267 1.0× 40 0.5× 12 0.3× 42 1.4× 14 497
Shima Kashef 214 0.7× 415 1.5× 79 1.0× 28 0.7× 13 0.4× 11 595
Murtadha Ahmed 104 0.3× 329 1.2× 54 0.7× 9 0.2× 48 1.6× 17 608
Shuangfei Zhai 278 0.9× 308 1.1× 66 0.8× 6 0.1× 49 1.6× 16 571
Chong Peng 315 1.0× 209 0.7× 45 0.5× 16 0.4× 38 1.3× 18 460
Naresh Babu Bynagari 288 0.9× 136 0.5× 23 0.3× 11 0.3× 28 0.9× 14 485

Countries citing papers authored by Yiheng Xu

Since Specialization
Citations

This map shows the geographic impact of Yiheng Xu'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 Yiheng Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiheng Xu more than expected).

Fields of papers citing papers by Yiheng Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yiheng Xu. 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 Yiheng Xu. The network helps show where Yiheng Xu may publish in the future.

Co-authorship network of co-authors of Yiheng Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Yiheng Xu. A scholar is included among the top collaborators of Yiheng Xu 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 Yiheng Xu. Yiheng Xu 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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