Xinyu Dai

4.7k total citations · 1 hit paper
142 papers, 2.7k citations indexed

About

Xinyu Dai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Xinyu Dai has authored 142 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 18 papers in Molecular Biology. Recurrent topics in Xinyu Dai's work include Topic Modeling (66 papers), Natural Language Processing Techniques (50 papers) and Sentiment Analysis and Opinion Mining (18 papers). Xinyu Dai is often cited by papers focused on Topic Modeling (66 papers), Natural Language Processing Techniques (50 papers) and Sentiment Analysis and Opinion Mining (18 papers). Xinyu Dai collaborates with scholars based in China, United States and Hong Kong. Xinyu Dai's co-authors include Shujian Huang, Jiajun Chen, Jianbing Zhang, Jiajun Chen, Zhen Wu, Fei Zhao, Zhifang Fan, Rui Xia, Qiulin Tang and Hongwei Xia and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Scientific Reports.

In The Last Decade

Xinyu Dai

122 papers receiving 2.6k citations

Hit Papers

Deep Matrix Factorization Models for Recommender Systems 2017 2026 2020 2023 2017 100 200 300 400 500
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. Deep Matrix Factorization Models for Recommender Systems
    2017 594 citations Xinyu Dai, Jianbing Zhang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinyu Dai China 27 1.6k 721 455 316 145 142 2.7k
Yejin Kim South Korea 20 819 0.5× 810 1.1× 301 0.7× 174 0.6× 68 0.5× 92 1.9k
Quan Fang China 26 1.1k 0.7× 777 1.1× 528 1.2× 172 0.5× 79 0.5× 64 2.0k
Yu Rong China 30 1.7k 1.1× 517 0.7× 935 2.1× 627 2.0× 662 4.6× 110 4.2k
Lin Gui China 34 1.8k 1.1× 200 0.3× 214 0.5× 756 2.4× 261 1.8× 333 4.4k
Liang Pang China 19 770 0.5× 261 0.4× 234 0.5× 392 1.2× 341 2.4× 107 1.9k
Zheng Chen China 21 1.1k 0.7× 969 1.3× 429 0.9× 342 1.1× 26 0.2× 74 2.3k
Dilip Kumar Sharma India 20 482 0.3× 495 0.7× 133 0.3× 240 0.8× 187 1.3× 174 1.8k
Bingchen Li China 21 1.0k 0.6× 199 0.3× 200 0.4× 696 2.2× 302 2.1× 79 2.6k
Richard M. Young United Kingdom 23 670 0.4× 406 0.6× 127 0.3× 116 0.4× 104 0.7× 84 2.3k
Qin Lu Hong Kong 29 1.6k 1.0× 391 0.5× 250 0.5× 620 2.0× 323 2.2× 238 3.2k

Countries citing papers authored by Xinyu Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xinyu Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyu Dai

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

All Works

20 of 20 papers shown
1.
Lv, Ying, Xiuzhu Weng, Xinyi Zhang, et al.. (2025). Quercetin alleviates postmenopausal atherosclerosis by suppressing endothelial cell ferroptosis via regulating the KEAP1/NRF2/GPX4 signalling pathway. British Journal of Pharmacology. 183(3). 620–643.
2.
Yan, Jihong, et al.. (2025). How faculty support impact physical education teachers'career satisfaction: A chain mediation model. Acta Psychologica. 259. 105380–105380.
3.
Dai, Xinyu, Tingting Huang, Juan Liu, et al.. (2024). Synthesis and applications of conjugated pillar[5]arenes. Tetrahedron. 159. 134021–134021. 4 indexed citations
4.
Wang, Yifan, et al.. (2024). MultiSQL: A Schema-Integrated Context-Dependent Text2SQL Dataset with Diverse SQL Operations. 13857–13867. 1 indexed citations
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Bai, Xiaoxuan, Ying Wang, Xing Luo, et al.. (2024). Cigarette tar accelerates atherosclerosis progression via RIPK3-dependent necroptosis mediated by endoplasmic reticulum stress in vascular smooth muscle cells. Cell Communication and Signaling. 22(1). 41–41. 9 indexed citations
8.
Wu, Zhen, et al.. (2024). Focus & Gating: A Multimodal Approach for Unveiling Relations in Noisy Social Media. 1379–1388. 1 indexed citations
9.
Dong, Shaochun, et al.. (2024). Biological Classification System Knowledge Graph and Semi-automatic Construction of Its Invertebrate Fossil Branches. Journal of Earth Science. 35(6). 2119–2128.
10.
Bao, Xiaoyi, Xing Luo, Xiaoxuan Bai, et al.. (2023). Cigarette tar mediates macrophage ferroptosis in atherosclerosis through the hepcidin/FPN/SLC7A11 signaling pathway. Free Radical Biology and Medicine. 201. 76–88. 52 indexed citations
11.
12.
Weng, Xiuzhu, Xing Luo, Xinyu Dai, et al.. (2023). Apigenin inhibits macrophage pyroptosis through regulation of oxidative stress and the NF‐κB pathway and ameliorates atherosclerosis. Phytotherapy Research. 37(11). 5300–5314. 24 indexed citations
13.
Huang, Shujian, et al.. (2023). Local Interpretation of Transformer Based on Linear Decomposition. 10270–10287. 4 indexed citations
14.
15.
Wu, Zhen, et al.. (2023). DRIN: Dynamic Relation Interactive Network for Multimodal Entity Linking. 3599–3608. 6 indexed citations
16.
Song, Nan, et al.. (2023). A Sequence-to-Structure Approach to Document-level Targeted Sentiment Analysis. 7687–7698. 1 indexed citations
17.
Wu, Zhen, et al.. (2023). Label-Correction Capsule Network for Hierarchical Text Classification. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 2158–2168. 7 indexed citations
18.
Zhao, Fei, et al.. (2022). Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection. 2390–2402. 7 indexed citations
19.
Cao, Yongchang, et al.. (2020). Integrating BERT and Score-based Feature Gates for Chinese Grammatical Error Diagnosis. 49–56. 2 indexed citations
20.
Zheng, Zaixiang, Shujian Huang, Rongxiang Weng, Xinyu Dai, & Jiajun Chen. (2020). Improving Self-Attention Networks With Sequential Relations. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 1707–1716. 16 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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