Ruiyuan Li

6.1k total citations · 3 hit papers
92 papers, 4.0k citations indexed

About

Ruiyuan Li is a scholar working on Signal Processing, Transportation and Building and Construction. According to data from OpenAlex, Ruiyuan Li has authored 92 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Signal Processing, 17 papers in Transportation and 16 papers in Building and Construction. Recurrent topics in Ruiyuan Li's work include Data Management and Algorithms (26 papers), Human Mobility and Location-Based Analysis (14 papers) and Traffic Prediction and Management Techniques (12 papers). Ruiyuan Li is often cited by papers focused on Data Management and Algorithms (26 papers), Human Mobility and Location-Based Analysis (14 papers) and Traffic Prediction and Management Techniques (12 papers). Ruiyuan Li collaborates with scholars based in China, United States and Singapore. Ruiyuan Li's co-authors include Yu Zheng, Xiuwen Yi, Junbo Zhang, Dekang Qi, Ziyue Chen, Tianrui Li, Danlu Chen, Yan Zhuang, Bingbo Gao and Sijie Ruan and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

Ruiyuan Li

85 papers receiving 4.0k citations

Hit Papers

Influence of meteorological conditions on PM2.5 conc... 2016 2026 2019 2022 2020 2016 2018 100 200 300 400
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. Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism
    2020 481 citations Ruiyuan Li et al. profile →
  2. DNN-based prediction model for spatio-temporal data
    2016 478 citations Junbo Zhang, Yu Zheng et al. profile →
  3. Predicting citywide crowd flows using deep spatio-temporal residual networks
    2018 392 citations Junbo Zhang, Yu Zheng et al. profile →

Peers

Ruiyuan Li
Mikko Kolehmainen Finland
Zhixiang Fang China
Juanjuan Zhao China
Hai Xiang Lin Netherlands
Uzair Aslam Bhatti China
Tianhe Chi China
Xinrong Li China
Yingyi Chen China
Yan Lu China
Mikko Kolehmainen Finland
Ruiyuan Li
Citations per year, relative to Ruiyuan Li Ruiyuan Li (= 1×) peers Mikko Kolehmainen

Countries citing papers authored by Ruiyuan Li

Since Specialization
Citations

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

Fields of papers citing papers by Ruiyuan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiyuan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ruiyuan Li. A scholar is included among the top collaborators of Ruiyuan Li 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 Ruiyuan Li. Ruiyuan Li 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.
Li, Zheng, Ruiyuan Li, Yi Wu, et al.. (2025). Adaptive Encoding Strategies for Lossless Floating-Point Compression. IEEE Internet of Things Journal. 12(14). 26071–26085.
2.
Li, Ruiyuan, et al.. (2025). Serf : Streaming Error-Bounded Floating-Point Compression. Proceedings of the ACM on Management of Data. 3(3). 1–27. 1 indexed citations
3.
Li, Ruiyuan, Jiaxin Liu, Lulu Yang, et al.. (2025). Hybrid near-infrared-activated luminescent gold nanoparticle platform for efficient cancer therapy. Advanced Composites and Hybrid Materials. 8(2). 3 indexed citations
4.
Li, Ruiyuan, et al.. (2025). Liquid metal-based biomaterials and flexible devices for injectable and implantable healthcare. Acta Biomaterialia. 207. 1–33.
5.
Li, Ruiyuan, Xiang He, Yingying Sun, et al.. (2024). Spatio-Temporal Keyword Query Processing Based on Key-Value Stores. Data Science and Engineering. 10(1). 98–116. 1 indexed citations
6.
Li, Ruiyuan, et al.. (2024). Field-based physical fitness assessment in preschool children in China. BMC Public Health. 24(1). 2722–2722. 1 indexed citations
7.
Gu, Fuqiang, Mingyan Li, Songtao Guo, et al.. (2024). EventAugment: Learning Augmentation Policies From Asynchronous Event-Based Data. IEEE Transactions on Cognitive and Developmental Systems. 16(4). 1521–1532. 3 indexed citations
8.
Zhao, Jie, Chao Chen, Wanyi Zhang, et al.. (2023). Coupling Makes Better: An Intertwined Neural Network for Taxi and Ridesourcing Demand Co-Prediction. IEEE Transactions on Intelligent Transportation Systems. 25(2). 1691–1705. 8 indexed citations
9.
Liu, Tong, et al.. (2023). Region Profile Enhanced Urban Spatio-Temporal Prediction via Adaptive Meta-Learning. 224–233. 3 indexed citations
10.
Cao, Kun, et al.. (2023). A study of the role of multiple layer‐by‐layer assembled bionic extracellular matrix in promoting wound healing via activation of the Wnt signaling pathway. Journal of Biomedical Materials Research Part B Applied Biomaterials. 111(6). 1159–1170. 8 indexed citations
11.
Gu, Fuqiang, Yong Lee, Yuan Zhuang, et al.. (2022). MDOE: A Spatiotemporal Event Representation Considering the Magnitude and Density of Events. IEEE Robotics and Automation Letters. 7(3). 7966–7973. 2 indexed citations
12.
Yi, Xiuwen, et al.. (2020). Predicting Fine-Grained Air Quality Based on Deep Neural Networks. IEEE Transactions on Big Data. 8(5). 1326–1339. 30 indexed citations
13.
Li, Ruiyuan, Sijie Ruan, Jie Bao, et al.. (2018). Efficient Path Query Processing Over Massive Trajectories on the Cloud. IEEE Transactions on Big Data. 6(1). 66–79. 8 indexed citations
14.
Bayer, Philipp E., Bhavna Hurgobin, Agnieszka A. Golicz, et al.. (2017). Assembly and comparison of two closely related Brassica napus genomes. Plant Biotechnology Journal. 15(12). 1602–1610. 104 indexed citations
15.
Li, Ruiyuan, et al.. (2017). Analysis of SSR information in Camellia tetracocca Zhang transcriptome.. Anhui Nongye Daxue xuebao. 44(4). 558–562. 2 indexed citations
16.
Guo, Yushuang, et al.. (2016). Genome-Wide Selection and Testing of Superior ReferenceGenes for Quantitative Gene Expression Normalization in Tobacco(Nicotiana tabacum). 5(3). 68–75. 1 indexed citations
17.
Shi, Jiaqin, Jiepeng Zhan, Yuhua Yang, et al.. (2015). Linkage and regional association analysis reveal two new tightly-linked major-QTLs for pod number and seed number per pod in rapeseed (Brassica napus L.). Scientific Reports. 5(1). 14481–14481. 57 indexed citations
18.
Li, Ruiyuan, Qi Chen, Jie Jiang, et al.. (2014). [Evaluation of nutrient level and its factors of breast milk in Shenzhen City].. PubMed. 43(4). 550–5, 561. 1 indexed citations
19.
Jiang, Congcong, Nirala Ramchiary, Mina Jin, et al.. (2011). Structural and functional comparative mapping between the Brassica A genomes in allotetraploid Brassica napus and diploid Brassica rapa. Theoretical and Applied Genetics. 123(6). 927–941. 25 indexed citations
20.
Hu, Xuehai, et al.. (2010). A hybrid Fisher/SVM method for SNP discovery in Brassica oilseed rape.. Journal of Food Agriculture & Environment. 8. 705–708. 1 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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