Ruiyang Liu

3.6k total citations
39 papers, 630 citations indexed

About

Ruiyang Liu is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ruiyang Liu has authored 39 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ruiyang Liu's work include Multiple Myeloma Research and Treatments (3 papers), Natural Language Processing Techniques (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Ruiyang Liu is often cited by papers focused on Multiple Myeloma Research and Treatments (3 papers), Natural Language Processing Techniques (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Ruiyang Liu collaborates with scholars based in China, United States and Poland. Ruiyang Liu's co-authors include Jingyi Yu, Hai-Tao Zheng, Honghai Wu, Ling Ding, Bo Yang, Yulu Zhou, Jieqiong Zhang, Guikai Liang, Zhangting Yao and Huihui Chen and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.

In The Last Decade

Ruiyang Liu

36 papers receiving 620 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruiyang Liu China 13 153 105 104 81 76 39 630
Jie Lian China 11 73 0.5× 82 0.8× 102 1.0× 35 0.4× 77 1.0× 41 651
Yuenan Li China 22 197 1.3× 142 1.4× 473 4.5× 76 0.9× 33 0.4× 64 1.3k
Zifan Chen China 15 84 0.5× 113 1.1× 28 0.3× 44 0.5× 70 0.9× 40 657
Xiaoyan Lu China 17 155 1.0× 70 0.7× 210 2.0× 27 0.3× 53 0.7× 52 1.1k
Jianxia Li China 16 223 1.5× 228 2.2× 26 0.3× 95 1.2× 166 2.2× 105 964
Zhenglin Wang China 22 327 2.1× 216 2.1× 76 0.7× 132 1.6× 20 0.3× 102 1.8k
Shuo Yan China 14 241 1.6× 76 0.7× 60 0.6× 61 0.8× 54 0.7× 35 717
Deqing Chen China 18 241 1.6× 43 0.4× 47 0.5× 34 0.4× 45 0.6× 68 895
Jin Ben China 15 336 2.2× 42 0.4× 76 0.7× 50 0.6× 29 0.4× 53 911
Ye Du China 17 311 2.0× 71 0.7× 138 1.3× 34 0.4× 124 1.6× 47 836

Countries citing papers authored by Ruiyang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ruiyang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiyang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ruiyang Liu. A scholar is included among the top collaborators of Ruiyang Liu 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 Ruiyang Liu. Ruiyang Liu 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.
Liu, Ruiyang, et al.. (2024). Study on tritium permeation behavior in primary and second circuits of the hydrogen production system by methane steam reforming using HTGR. Nuclear Engineering and Design. 421. 113101–113101. 3 indexed citations
2.
Xu, Zhijie, Ruiyang Liu, Weiyu Zhang, et al.. (2024). ATP6V1D drives hepatocellular carcinoma stemness and progression via both lysosome acidification-dependent and -independent mechanisms. Autophagy. 21(3). 513–529. 3 indexed citations
3.
Liu, Ruiyang, Zhiyi Peng, Huaqiang Yin, & Huang Zhang. (2024). Design and Analysis of a Nuclear Hydrogen Production System by Methanol Reforming Using Light Water Reactor (LWR). 1 indexed citations
4.
Xu, Zhijie, Juan Ye, Jianxu Chen, et al.. (2023). B4GALNT1 promotes hepatocellular carcinoma stemness and progression via integrin α2β1-mediated FAK and AKT activation. JHEP Reports. 5(12). 100903–100903. 3 indexed citations
5.
Storrs, Erik, Daniel Cui Zhou, Michael C. Wendl, et al.. (2022). Pollock: fishing for cell states. Bioinformatics Advances. 2(1). vbac028–vbac028. 2 indexed citations
6.
Li, Yinghui, Qingyu Zhou, Yangning Li, et al.. (2022). The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking. Findings of the Association for Computational Linguistics: ACL 2022. 3202–3213. 23 indexed citations
7.
Li, Yinghui, Shirong Ma, Qingyu Zhou, et al.. (2022). Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking. 238–249. 13 indexed citations
8.
Chen, Anpei, Ruiyang Liu, Ling Xie, et al.. (2022). SofGAN: A Portrait Image Generator with Dynamic Styling. ACM Transactions on Graphics. 41(1). 1–26. 45 indexed citations
9.
Liu, Xu, Yu Shi, Teng Yang, et al.. (2022). Distinct Co-occurrence Relationships and Assembly Processes of Active Methane-Oxidizing Bacterial Communities Between Paddy and Natural Wetlands of Northeast China. Frontiers in Microbiology. 13. 809074–809074. 4 indexed citations
10.
Liu, Ruiyang, Yinghui Li, Linmi Tao, Dun Liang, & Hai-Tao Zheng. (2022). Are we ready for a new paradigm shift? A survey on visual deep MLP. Patterns. 3(7). 100520–100520. 51 indexed citations
11.
Ma, Shirong, Yinghui Li, Qingyu Zhou, et al.. (2022). Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction. 576–589. 7 indexed citations
12.
Zhang, Peiying, et al.. (2022). The beneficial effect of growth mindset intervention for adolescents in economically disadvantaged areas of China. Journal of Pacific Rim Psychology. 16. 4 indexed citations
13.
14.
Huang, Kuan‐lin, Adam Scott, Daniel Cui Zhou, et al.. (2021). Spatially interacting phosphorylation sites and mutations in cancer. Nature Communications. 12(1). 2313–2313. 13 indexed citations
15.
Bi, Ye, Venktesh S. Shirure, Ruiyang Liu, et al.. (2020). Tumor-on-a-chip platform to interrogate the role of macrophages in tumor progression. Integrative Biology. 12(9). 221–232. 55 indexed citations
16.
Li, Ya, et al.. (2019). AIDS prevention and control in the Yunnan region by T cell subset assessment. PLoS ONE. 14(4). e0214800–e0214800. 1 indexed citations
17.
Dai, Liang, Honglei Wang, Lu‐Yu Zhou, et al.. (2017). Regional and local new particle formation events observed in the Yangtze River Delta region, China. Journal of Geophysical Research Atmospheres. 122(4). 2389–2402. 50 indexed citations
18.
Sewastianik, Tomasz, Meng Jiang, Kumar Sukhdeo, et al.. (2017). Constitutive Ras signaling and Ink4a/Arf inactivation cooperate during the development of B-ALL in mice. Blood Advances. 1(25). 2361–2374. 7 indexed citations
19.
Chen, Pingjun, et al.. (2015). Fiber segmentation using a density-peaks clustering algorithm. 633–637. 4 indexed citations
20.
Xing, Huabin, Xiao Zhang, Qiwei Yang, et al.. (2013). Separation of long chain fatty acids with different number of unsaturated bonds by fractional extraction: Experimental and COSMO-RS study. Food Chemistry. 143. 411–417. 22 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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