Yong Liu

7.4k total citations · 4 hit papers
225 papers, 4.6k citations indexed

About

Yong Liu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yong Liu has authored 225 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Artificial Intelligence, 72 papers in Information Systems and 37 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yong Liu's work include Recommender Systems and Techniques (52 papers), Advanced Graph Neural Networks (30 papers) and Topic Modeling (18 papers). Yong Liu is often cited by papers focused on Recommender Systems and Techniques (52 papers), Advanced Graph Neural Networks (30 papers) and Topic Modeling (18 papers). Yong Liu collaborates with scholars based in China, Singapore and United States. Yong Liu's co-authors include Chunyan Miao, Xiwang Yang, Min Wu, Xiaoli Li, Harald Steck, Aixin Sun, Peilin Zhao, Yang Guo, Xin Liu and Wei Wei and has published in prestigious journals such as Bioinformatics, Analytical Chemistry and Journal of Cleaner Production.

In The Last Decade

Yong Liu

207 papers receiving 4.5k citations

Hit Papers

A survey of collaborative filtering based social recommen... 2013 2026 2017 2021 2013 2014 2023 2024 100 200 300
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. A survey of collaborative filtering based social recommender systems
    2013 342 citations Yong Liu et al. profile →
  2. Exploiting Geographical Neighborhood Characteristics for Location Recommendation
    2014 236 citations Yong Liu, Chunyan Miao et al. profile →
  3. Bootstrap Latent Representations for Multi-modal Recommendation
    2023 103 citations Yong Liu, Chunyan Miao et al. profile →
  4. How Can Recommender Systems Benefit from Large Language Models: A Survey
    2024 53 citations Jianghao Lin, Xinyi Dai et al. ACM Transactions on Information Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong Liu China 37 1.9k 1.7k 744 716 706 225 4.6k
Ling Chen China 38 1.5k 0.8× 2.0k 1.2× 1.1k 1.5× 782 1.1× 777 1.1× 331 5.3k
Cheng Yang China 28 1.2k 0.6× 3.5k 2.1× 1.0k 1.4× 325 0.5× 681 1.0× 148 6.5k
Yuxiao Dong China 29 1.6k 0.8× 3.7k 2.2× 756 1.0× 232 0.3× 575 0.8× 115 5.7k
Aditya Grover United States 11 1.5k 0.8× 4.5k 2.7× 826 1.1× 372 0.5× 748 1.1× 29 7.5k
Lizhen Cui China 35 2.1k 1.1× 2.2k 1.3× 606 0.8× 275 0.4× 1.0k 1.5× 324 4.6k
Stan Matwin Canada 36 1.3k 0.7× 4.3k 2.6× 664 0.9× 217 0.3× 545 0.8× 263 6.8k
Jia Wu Australia 46 1.5k 0.8× 4.5k 2.6× 1.8k 2.4× 285 0.4× 780 1.1× 356 7.8k
David W. Cheung Hong Kong 28 1.6k 0.8× 1.7k 1.0× 449 0.6× 193 0.3× 681 1.0× 85 3.7k
Hao Peng China 34 1.0k 0.5× 2.9k 1.7× 544 0.7× 517 0.7× 671 1.0× 177 5.1k
Chuan Shi China 46 3.0k 1.6× 5.8k 3.4× 1.2k 1.6× 217 0.3× 904 1.3× 224 7.7k

Countries citing papers authored by Yong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Liu. A scholar is included among the top collaborators of Yong 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 Yong Liu. Yong 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.
2.
Li, Xianneng, Zhaocheng Du, Huifeng Guo, et al.. (2025). LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration. 3889–3900.
3.
Li, Aijun, Yong Liu, & Huajun Li. (2024). A review of pressure loss characteristics during water waves passaging through perforated plates. Applied Ocean Research. 153. 104300–104300. 2 indexed citations
4.
5.
Han, Xinghui, et al.. (2024). Enhanced Kalman filter methods for end pose measurement of parallel kinematic machine considering the error sensitivity. Measurement. 239. 115517–115517. 2 indexed citations
6.
Wang, Linfeng, et al.. (2024). A lightweight tomato leaf disease identification method based on shared‐twin neural networks. IET Image Processing. 18(9). 2291–2303. 2 indexed citations
7.
Lin, Jianghao, Xinyi Dai, Weiwen Liu, et al.. (2024). How Can Recommender Systems Benefit from Large Language Models: A Survey. ACM Transactions on Information Systems. 43(2). 1–47. 53 indexed citations breakdown →
8.
Luo, Senlin, et al.. (2024). A novel prompt-tuning method: Incorporating scenario-specific concepts into a verbalizer. Expert Systems with Applications. 247. 123204–123204. 1 indexed citations
9.
Lyu, Y. F., Yong Liu, & Qiangfu Zhao. (2023). Maintain a Better Balance between Performance and Cost for Image Captioning by a Size-Adjustable Convolutional Module. Electronics. 12(14). 3187–3187.
10.
Liu, Siming, Fan Zhang, Yanjie Ji, et al.. (2023). Understanding spatial-temporal travel demand of private and shared e-bikes as a feeder mode of metro stations. Journal of Cleaner Production. 398. 136602–136602. 36 indexed citations
11.
Yang, Wei, Jie Hu, Yong Liu, & Wenbo Guo. (2023). Examining the influence of neighborhood and street-level built environment on fitness jogging in Chengdu, China: A massive GPS trajectory data analysis. Journal of Transport Geography. 108. 103575–103575. 43 indexed citations
12.
Xu, Yonghui, et al.. (2023). Multicomponent Adversarial Domain Adaptation: A General Framework. IEEE Transactions on Neural Networks and Learning Systems. 34(10). 6824–6838. 4 indexed citations
13.
14.
Liu, Yong, Fan Lin, Lixin Zou, et al.. (2023). A Survey on Reinforcement Learning for Recommender Systems. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 13164–13184. 20 indexed citations
15.
Lin, Fan, et al.. (2022). Federated low-rank tensor projections for sequential recommendation. Knowledge-Based Systems. 255. 109483–109483. 10 indexed citations
16.
Long, Yahui, Min Wu, Yong Liu, et al.. (2021). Graph contextualized attention network for predicting synthetic lethality in human cancers. Bioinformatics. 37(16). 2432–2440. 31 indexed citations
17.
Cao, Houwei, et al.. (2020). Realtime mobile bandwidth prediction using LSTM neural network and Bayesian fusion. Computer Networks. 182. 107515–107515. 40 indexed citations
18.
Zhong, Peixiang, Chen Zhang, Hao Wang, Yong Liu, & Chunyan Miao. (2020). Towards Persona-Based Empathetic Conversational Models. DR-NTU (Nanyang Technological University). 6556–6566. 61 indexed citations
19.
Xue, Yong, et al.. (2017). Application of Deep Learning in Automated Analysis of Molecular Images in Cancer: A Survey. Contrast Media & Molecular Imaging. 2017. 1–10. 39 indexed citations
20.
Zhang, Yuxing, et al.. (2016). Method of arresting cable tension control. 38(6). 53. 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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