Ruiyi Zhang

2.8k total citations · 1 hit paper
79 papers, 1.2k citations indexed

About

Ruiyi Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Ruiyi Zhang has authored 79 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 13 papers in Molecular Biology. Recurrent topics in Ruiyi Zhang's work include Topic Modeling (23 papers), Natural Language Processing Techniques (14 papers) and Multimodal Machine Learning Applications (13 papers). Ruiyi Zhang is often cited by papers focused on Topic Modeling (23 papers), Natural Language Processing Techniques (14 papers) and Multimodal Machine Learning Applications (13 papers). Ruiyi Zhang collaborates with scholars based in United States, China and Canada. Ruiyi Zhang's co-authors include V. Wee Yong, Mengzhou Xue, Tong Yu, Ryan A. Rossi, Suliman Khan, Sungchul Kim, Yanhui Lu, Kaimin Wu, Ranran Duan and Yaobing Yao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Frontiers in Immunology.

In The Last Decade

Ruiyi Zhang

71 papers receiving 1.2k citations

Hit Papers

Bias and Fairness in Large Language Models: A Survey 2024 2026 2024 40 80 120
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. Bias and Fairness in Large Language Models: A Survey
    2024 141 citations Ryan A. Rossi, Sungchul Kim 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
Ruiyi Zhang United States 19 386 296 223 182 100 79 1.2k
William Speier United States 27 464 1.2× 188 0.6× 181 0.8× 69 0.4× 163 1.6× 90 1.8k
Juan Liu China 17 218 0.6× 263 0.9× 480 2.2× 57 0.3× 67 0.7× 122 1.5k
Juan A. Botía Spain 22 222 0.6× 397 1.3× 258 1.2× 171 0.9× 34 0.3× 94 1.5k
Vanathi Gopalakrishnan United States 18 191 0.5× 455 1.5× 48 0.2× 170 0.9× 49 0.5× 52 1.0k
Rubén Armañanzas Spain 17 308 0.8× 755 2.6× 100 0.4× 66 0.4× 32 0.3× 37 1.5k
Kevin Chen United States 21 153 0.4× 719 2.4× 322 1.4× 76 0.4× 45 0.5× 56 1.8k
Shufen Liu China 19 122 0.3× 381 1.3× 60 0.3× 31 0.2× 108 1.1× 146 1.1k
Yitan Zhu United States 18 555 1.4× 746 2.5× 90 0.4× 50 0.3× 59 0.6× 41 2.2k
Xiaoying Gao New Zealand 19 421 1.1× 389 1.3× 81 0.4× 32 0.2× 26 0.3× 93 1.4k
Hong Zhao China 22 779 2.0× 180 0.6× 592 2.7× 31 0.2× 37 0.4× 106 1.7k

Countries citing papers authored by Ruiyi Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ruiyi Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiyi Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruiyi Zhang. A scholar is included among the top collaborators of Ruiyi Zhang 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 Ruiyi Zhang. Ruiyi Zhang 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.
2.
Zhang, Ruiyi, et al.. (2024). LXR agonism for CNS diseases: promises and challenges. Journal of Neuroinflammation. 21(1). 97–97. 15 indexed citations
3.
Chen, Jian, Ruiyi Zhang, Yufan Zhou, et al.. (2024). TextLap: Customizing Language Models for Text-to-Layout Planning. 14275–14289. 2 indexed citations
4.
Zhang, Ruiyi, et al.. (2024). AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning. 5048–5060. 2 indexed citations
5.
Zhu, Wanrong, et al.. (2024). Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models. 167–172. 2 indexed citations
6.
Zhang, Ruiyi, et al.. (2024). KaPQA: Knowledge-Augmented Product Question-Answering. 15–29. 1 indexed citations
7.
Gu, Jiuxiang, Jason Kuen, Vlad I. Morariu, et al.. (2023). A Critical Analysis of Document Out-of-Distribution Detection. 4973–4999.
8.
9.
Zhang, Ruiyi, Yunan Luo, Jianzhu Ma, Ming Zhang, & Sheng Wang. (2022). scPretrain: multi-task self-supervised learning for cell-type classification. Bioinformatics. 38(6). 1607–1614. 10 indexed citations
10.
Li, Zhe, Yang Liu, Ruixue Wei, et al.. (2022). Iron Neurotoxicity and Protection by Deferoxamine in Intracerebral Hemorrhage. Frontiers in Molecular Neuroscience. 15. 927334–927334. 21 indexed citations
11.
Zhang, Hongxin, Yanzhe Zhang, Ruiyi Zhang, & Diyi Yang. (2022). Robustness of Demonstration-based Learning Under Limited Data Scenario. 1769–1782. 5 indexed citations
12.
Wu, Junda, Rui Wang, Ruiyi Zhang, et al.. (2022). Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling. 3436–3448. 1 indexed citations
13.
Zhang, Ruiyi, Haoyu Wang, Lei Wu, et al.. (2021). {EOSAFE}: Security Analysis of {EOSIO} Smart Contracts. USENIX Security Symposium. 1271–1288. 12 indexed citations
14.
Li, Jianqiao, Chunyuan Li, Guoyin Wang, et al.. (2020). Improving Text Generation with Student-Forcing Optimal Transport. 9144–9156. 8 indexed citations
15.
Bai, Qian, Zhao‐Fu Sheng, Yang Liu, et al.. (2020). Intracerebral haemorrhage: from clinical settings to animal models. Stroke and Vascular Neurology. 5(4). 388–395. 42 indexed citations
16.
Zhang, Ruiyi, Qian Bai, Yang Liu, et al.. (2020). Intracerebral hemorrhage in translational research. SHILAP Revista de lepidopterología. 1(1). 13–18. 10 indexed citations
17.
Yu, Tong, Branislav Kveton, Zheng Wen, Ruiyi Zhang, & Ole J. Mengshoel. (2020). Graphical Models Meet Bandits: A Variational Thompson Sampling Approach.. International Conference on Machine Learning. 10902–10912. 2 indexed citations
18.
Tao, Chenyang, Shuyang Dai, Liqun Chen, et al.. (2019). Variational annealing of GANs: A Langevin perspective. International Conference on Machine Learning. 6176–6185. 1 indexed citations
19.
Lu, Yanhui, Yan Zhou, Ruiyi Zhang, et al.. (2019). Bone Mesenchymal Stem Cell-Derived Extracellular Vesicles Promote Recovery Following Spinal Cord Injury via Improvement of the Integrity of the Blood-Spinal Cord Barrier. Frontiers in Neuroscience. 13. 209–209. 146 indexed citations
20.
Chen, Changyou, Ruiyi Zhang, Wenlin Wang, Bai Li, & Liqun Chen. (2018). A Unified Particle-Optimization Framework for Scalable Bayesian Sampling.. Uncertainty in Artificial Intelligence. 746–755. 2 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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