Yupan Huang

960 total citations · 1 hit paper
6 papers, 376 citations indexed

About

Yupan Huang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Yupan Huang has authored 6 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Yupan Huang's work include Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Video Analysis and Summarization (2 papers). Yupan Huang is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Video Analysis and Summarization (2 papers). Yupan Huang collaborates with scholars based in China and United States. Yupan Huang's co-authors include Yutong Lu, Tengchao Lv, Furu Wei, Lei Cui, Jianlong Fu, Zhaoyang Zeng, Bei Liu, Zhicheng Huang, Dongmei Fu and Xingbo Liu and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Yupan Huang

5 papers receiving 355 citations

Hit Papers

align trajectories sort by overperformance

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.

LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking

2022 181 citations Yupan Huang, Tengchao Lv et al. Proceedings of the 30th ACM International Conference on Multimedia profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yupan Huang China	4	295	211	35	15	14	6	376
Yichong Xu United States	9	202 0.7×	294 1.4×	20 0.6×	14 0.9×	10 0.7×	20	396
Yawen Zeng China	10	222 0.8×	107 0.5×	28 0.8×	14 0.9×	6 0.4×	23	287
Devendra Singh Sachan United States	7	118 0.4×	289 1.4×	32 0.9×	11 0.7×	14 1.0×	11	331
Yi Wen China	6	162 0.5×	187 0.9×	22 0.6×	14 0.9×	12 0.9×	8	257
Jin-Ge Yao China	12	211 0.7×	398 1.9×	42 1.2×	27 1.8×	11 0.8×	24	564
Sebastian Bruch Italy	7	72 0.2×	126 0.6×	63 1.8×	23 1.5×	22 1.6×	18	195
Xuwu Wang China	6	105 0.4×	185 0.9×	36 1.0×	28 1.9×	7 0.5×	8	254
Lluís Garcia Pueyo United States	7	278 0.9×	85 0.4×	74 2.1×	13 0.9×	25 1.8×	10	363
Shitao Xiao China	9	89 0.3×	184 0.9×	68 1.9×	16 1.1×	12 0.9×	24	299
Tamir Hassan Austria	6	163 0.6×	75 0.4×	51 1.5×	35 2.3×	9 0.6×	20	227

Countries citing papers authored by Yupan Huang

Since Specialization

Citations

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

Fields of papers citing papers by Yupan Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yupan Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Yupan Huang. A scholar is included among the top collaborators of Yupan Huang 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 Yupan Huang. Yupan Huang 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:

6 of 6 papers shown

1.

Huang, Yupan, Tengchao Lv, Lei Cui, Yutong Lu, & Furu Wei. (2022). LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking. Proceedings of the 30th ACM International Conference on Multimedia. 4083–4091. 181 indexed citations breakdown →

2.

Huang, Yupan, Bei Liu, Houwen Peng, et al.. (2021). Probing Inter-modality: Visual Parsing with Self-Attention for Vision-and-Language Pre-training. Neural Information Processing Systems. 34. 23 indexed citations

3.

Huang, Zhicheng, Zhaoyang Zeng, Yupan Huang, et al.. (2021). Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning. 12971–12980. 146 indexed citations

4.

Huang, Yupan, Bei Liu, Jianlong Fu, & Yutong Lu. (2021). A Picture is Worth a Thousand Words: A Unified System for Diverse Captions and Rich Images Generation. arXiv (Cornell University).

5.

Huang, Yupan, Zhaoyang Zeng, & Yutong Lu. (2021). Be Specific, Be Clear: Bridging Machine and Human Captions by Scene-Guided Transformer. 4–13. 3 indexed citations

6.

Liu, Xingbo, Xiushan Nie, Qi Dai, et al.. (2020). Reinforced Short-Length Hashing. IEEE Transactions on Circuits and Systems for Video Technology. 31(9). 3655–3668. 23 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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