Qingyu Tan

409 total citations
10 papers, 193 citations indexed

About

Qingyu Tan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Qingyu Tan has authored 10 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Qingyu Tan's work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Speech and dialogue systems (2 papers). Qingyu Tan is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Speech and dialogue systems (2 papers). Qingyu Tan collaborates with scholars based in Singapore, Cayman Islands and China. Qingyu Tan's co-authors include Lidong Bing, Ruidan He, Hwee Tou Ng, Hai Ye, Luo Si, Linlin Liu, Bosheng Ding, Juntao Li, Zhijun Fang and Chaoqun Liu and has published in prestigious journals such as Applied Sciences and Findings of the Association for Computational Linguistics: ACL 2022.

In The Last Decade

Qingyu Tan

8 papers receiving 187 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingyu Tan Singapore 5 172 28 21 12 9 10 193
Daniel Deutsch United States 9 211 1.2× 35 1.3× 23 1.1× 6 0.5× 9 1.0× 31 226
Nicola De Cao Netherlands 4 196 1.1× 51 1.8× 18 0.9× 24 2.0× 15 1.7× 6 208
Thomas Scialom France 6 158 0.9× 46 1.6× 18 0.9× 5 0.4× 5 0.6× 12 178
Or Honovich Israel 7 199 1.2× 40 1.4× 29 1.4× 5 0.4× 6 0.7× 10 221
Yongjing Yin China 9 206 1.2× 86 3.1× 15 0.7× 6 0.5× 8 0.9× 25 226
Sujith Ravi United States 7 90 0.5× 26 0.9× 21 1.0× 9 0.8× 5 0.6× 10 101
Nafise Sadat Moosavi Germany 7 191 1.1× 28 1.0× 17 0.8× 10 0.8× 16 1.8× 28 209
Yixuan Su United Kingdom 8 184 1.1× 56 2.0× 19 0.9× 4 0.3× 12 1.3× 18 208

Countries citing papers authored by Qingyu Tan

Since Specialization
Citations

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

Fields of papers citing papers by Qingyu Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingyu Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Qingyu Tan. A scholar is included among the top collaborators of Qingyu Tan 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 Qingyu Tan. Qingyu Tan 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.
Zhang, Wenxuan, Zhi‐Qiang Hu, Yew Ken Chia, et al.. (2024). SeaLLMs - Large Language Models for Southeast Asia. 294–304. 4 indexed citations
2.
Tan, Qingyu, Hwee Tou Ng, & Lidong Bing. (2024). Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning. 6272–6286. 1 indexed citations
3.
Tan, Qingyu, Hwee Tou Ng, & Lidong Bing. (2023). Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models. 14820–14835. 8 indexed citations
4.
Tan, Qingyu, Zhijun Fang, & Xiaoyan Jiang. (2023). KD-PatchMatch: A Self-Supervised Training Learning-Based PatchMatch. Applied Sciences. 13(4). 2224–2224.
5.
Tan, Qingyu, et al.. (2023). Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data. 8630–8643. 1 indexed citations
6.
Tan, Qingyu, Ruidan He, Lidong Bing, & Hwee Tou Ng. (2022). Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation. Findings of the Association for Computational Linguistics: ACL 2022. 1672–1681. 54 indexed citations
7.
Tan, Qingyu, et al.. (2022). Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction. 8472–8487. 25 indexed citations
8.
He, Ruidan, Linlin Liu, Hai Ye, et al.. (2021). On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation. 2208–2222. 73 indexed citations
9.
Ye, Hai, Qingyu Tan, Ruidan He, et al.. (2020). Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training. 7386–7399. 27 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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