Yunfan Shao

2.2k total citations · 1 hit paper
10 papers, 1.3k citations indexed

About

Yunfan Shao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yunfan Shao has authored 10 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yunfan Shao's work include Topic Modeling (7 papers), Multimodal Machine Learning Applications (5 papers) and Natural Language Processing Techniques (5 papers). Yunfan Shao is often cited by papers focused on Topic Modeling (7 papers), Multimodal Machine Learning Applications (5 papers) and Natural Language Processing Techniques (5 papers). Yunfan Shao collaborates with scholars based in China, United States and France. Yunfan Shao's co-authors include Xipeng Qiu, Tianxiang Sun, Xuanjing Huang, Yige Xu, Ning Dai, Qipeng Guo, Zheng Zhang, Hang Yan, Xiangyang Xue and Pengfei Liu and has published in prestigious journals such as Journal of Materials Chemistry A, Science China Information Sciences and Science China Technological Sciences.

In The Last Decade

Yunfan Shao

8 papers receiving 1.2k citations

Hit Papers

Pre-trained models for natural language processing: A survey 2020 2026 2022 2024 2020 250 500 750
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.

  1. Pre-trained models for natural language processing: A survey
    2020 922 citations Xipeng Qiu, Tianxiang Sun et al. Science China Technological Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunfan Shao China 6 948 247 198 77 73 10 1.3k
Xingcheng Yao China 2 1.1k 1.2× 322 1.3× 223 1.1× 77 1.0× 63 0.9× 3 1.4k
Zhengxiao Du China 9 778 0.8× 221 0.9× 224 1.1× 56 0.7× 42 0.6× 12 1.1k
Ning Dai China 4 696 0.7× 151 0.6× 162 0.8× 66 0.9× 54 0.7× 13 954
Lukáš Chrpa Czechia 12 744 0.8× 276 1.1× 123 0.6× 74 1.0× 40 0.5× 78 1.1k
Yuexin Wu China 14 797 0.8× 262 1.1× 225 1.1× 44 0.6× 54 0.7× 59 1.2k
Cunxiang Wang China 4 628 0.7× 106 0.4× 165 0.8× 46 0.6× 44 0.6× 16 1.1k
Xiaorui Liu United States 13 918 1.0× 184 0.7× 216 1.1× 34 0.4× 44 0.6× 30 1.1k
Oscar Täckström United States 13 1.5k 1.6× 364 1.5× 158 0.8× 54 0.7× 86 1.2× 19 1.7k

Countries citing papers authored by Yunfan Shao

Since Specialization
Citations

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

Fields of papers citing papers by Yunfan Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunfan Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Yunfan Shao. A scholar is included among the top collaborators of Yunfan Shao 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 Yunfan Shao. Yunfan Shao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Shao, Yunfan, et al.. (2024). Balanced Data Sampling for Language Model Training with Clustering. 14012–14023.
2.
Li, Xiaonan, Zhangyue Yin, Yunfan Shao, et al.. (2024). Unified Active Retrieval for Retrieval Augmented Generation. 17153–17166. 2 indexed citations
3.
Shao, Yunfan, Fannie Alloin, Dominic Bresser, & Cristina Iojoiu. (2024). Solvent-free single-ion conducting polymer electrolyte for lithium-metal batteries synthesized via a unique donor–acceptor copolymerization. Journal of Materials Chemistry A. 12(43). 30032–30040. 5 indexed citations
4.
Shao, Yunfan, Yitao Liu, Junqi Dai, et al.. (2024). CPT: a pre-trained unbalanced transformer for both Chinese language understanding and generation. Science China Information Sciences. 67(5). 17 indexed citations
5.
6.
Li, Xiaonan, Yunfan Shao, Tianxiang Sun, et al.. (2021). Accelerating BERT Inference for Sequence Labeling via Early-Exit. 189–199. 17 indexed citations
7.
Sun, Tianxiang, Yunfan Shao, Xipeng Qiu, et al.. (2020). CoLAKE: Contextualized Language and Knowledge Embedding. 3660–3670. 97 indexed citations
8.
Sun, Tianxiang, Yunfan Shao, Xiaonan Li, et al.. (2020). Learning Sparse Sharing Architectures for Multiple Tasks. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 8936–8943. 96 indexed citations
9.
Qiu, Xipeng, Tianxiang Sun, Yige Xu, et al.. (2020). Pre-trained models for natural language processing: A survey. Science China Technological Sciences. 63(10). 1872–1897. 922 indexed citations breakdown →
10.
Guo, Qipeng, Xipeng Qiu, Pengfei Liu, et al.. (2019). Star-Transformer. 1315–1325. 102 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Xingcheng Yao Breakdown of academic impact, for papers by Zhengxiao Du Breakdown of academic impact, for papers by Ning Dai Breakdown of academic impact, for papers by Lukáš Chrpa Breakdown of academic impact, for papers by Yuexin Wu Breakdown of academic impact, for papers by Cunxiang Wang Breakdown of academic impact, for papers by Xiaorui Liu Breakdown of academic impact, for papers by Oscar Täckström
Rankless by CCL
2026