Yiheng Xu
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Information Systems top 10%
- Mechanical Engineering
- Signal Processing
- Topics
- Handwritten Text Recognition Techniques (5 papers)Multimodal Machine Learning Applications (3 papers)Natural Language Processing Techniques (3 papers)
- Journals
- Science and Technology of Welding & JoiningProceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Partner nations
- ChinaUnited States
In The Last Decade
Yiheng Xu
9 papers receiving 533 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 323
- Artificial Intelligence 285
- Information Systems 85
- Mechanical Engineering 42
- Signal Processing 33
Countries citing papers authored by Yiheng Xu
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 31 | |
| 4 | 64 | |
| 5 | 10 | |
| 6 | 29 | |
| 7 | LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understandingbreakdown → | 194 |
| 8 | 82 | |
| 9 | 108 | |
| 10 | 40 |
About Yiheng Xu
Yiheng Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 10 papers that have together received 560 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (5 papers), Multimodal Machine Learning Applications (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (323 citations), Artificial Intelligence (285 citations) and Information Systems (85 citations). Yiheng Xu has collaborated with scholars based in China and United States. Frequent co-authors include Furu Wei, Cha Zhang, Tengchao Lv, Lei Cui, Enhong Chen, Yongji Wu, Le Wu, Defu Lian, Dinei Florêncio and Guoxin Wang. Their work appears in 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.
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.