Sannyuya Liu

3.9k total citations · 2 hit papers
158 papers, 2.8k citations indexed

About

Sannyuya Liu is a scholar working on Artificial Intelligence, Computer Science Applications and Education. According to data from OpenAlex, Sannyuya Liu has authored 158 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 55 papers in Computer Science Applications and 37 papers in Education. Recurrent topics in Sannyuya Liu's work include Online Learning and Analytics (54 papers), Online and Blended Learning (30 papers) and Innovative Teaching and Learning Methods (24 papers). Sannyuya Liu is often cited by papers focused on Online Learning and Analytics (54 papers), Online and Blended Learning (30 papers) and Innovative Teaching and Learning Methods (24 papers). Sannyuya Liu collaborates with scholars based in China, Germany and Australia. Sannyuya Liu's co-authors include Zhaoli Zhang, Zhi Liu, Jianwen Sun, Zongkai Yang, Hai Liu, Xian Peng, Tao Huang, Tingting Liu, Youfu Li and Xiaoxuan Shen and has published in prestigious journals such as Computers in Human Behavior, Optics Express and Expert Systems with Applications.

In The Last Decade

Sannyuya Liu

145 papers receiving 2.7k citations

Hit Papers

Automated detection of emotional and cognitive engagement... 2022 2026 2023 2024 2022 2024 50 100 150
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. Automated detection of emotional and cognitive engagement in MOOC discussions to predict learning achievement
    2022 161 citations Sannyuya Liu, Zhi Liu et al. profile →
  2. Profiling students’ learning engagement in MOOC discussions to identify learning achievement: An automated configurational approach
    2024 41 citations Zhi Liu, Sannyuya Liu 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
Sannyuya Liu China 29 852 689 556 550 377 158 2.8k
George D. Magoulas United Kingdom 28 1.1k 1.3× 584 0.8× 366 0.7× 452 0.8× 367 1.0× 145 2.8k
Gideon Dror Israel 27 1.3k 1.5× 174 0.3× 921 1.7× 638 1.2× 50 0.1× 57 3.8k
Andreas Kerren Sweden 21 794 0.9× 155 0.2× 1.0k 1.9× 181 0.3× 25 0.1× 159 2.1k
Tingting Liu China 25 505 0.6× 42 0.1× 853 1.5× 160 0.3× 38 0.1× 70 2.1k
Konstantinos Diamantaras Greece 22 1.0k 1.2× 53 0.1× 686 1.2× 408 0.7× 54 0.1× 139 3.0k
Ruimin Shen China 24 698 0.8× 282 0.4× 572 1.0× 804 1.5× 406 1.1× 115 2.5k
Chris North United States 39 1.2k 1.4× 221 0.3× 3.8k 6.9× 367 0.7× 23 0.1× 203 5.4k
Hai Liu China 15 335 0.4× 86 0.1× 519 0.9× 233 0.4× 52 0.1× 44 1.3k
S. Levialdi Italy 25 432 0.5× 151 0.2× 1.1k 2.1× 274 0.5× 124 0.3× 128 2.3k

Countries citing papers authored by Sannyuya Liu

Since Specialization
Citations

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

Fields of papers citing papers by Sannyuya Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sannyuya Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Sannyuya Liu. A scholar is included among the top collaborators of Sannyuya 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 Sannyuya Liu. Sannyuya 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.
Yuan, X., et al.. (2025). Dual-view multi-scale cognitive representation for deep knowledge tracing. Knowledge-Based Systems. 310. 113010–113010. 5 indexed citations
2.
Shao, Zhongjun, et al.. (2025). Ecological network analysis of attention flow in online learning: Insights into knowledge acquisition and dropout behaviors. Information Processing & Management. 62(5). 104163–104163.
3.
4.
Peng, Xian, et al.. (2024). Exploring the effect of stress arousal on the positive emotional design of multimedia learning. Education and Information Technologies. 29(15). 20267–20298. 5 indexed citations
5.
Sun, Jianwen, et al.. (2024). Interpretable Knowledge Tracing with Multiscale State Representation. 3265–3276. 11 indexed citations
6.
7.
Liu, Sannyuya, et al.. (2024). How academic stress affects academic performance: A chain-mediated model of sex moderation. Journal of Psychology in Africa. 34(5). 487–494. 2 indexed citations
8.
Liu, Sannyuya, et al.. (2023). Hyperbolic embedding of discrete evolution graphs for intelligent tutoring systems. Expert Systems with Applications. 241. 122451–122451. 1 indexed citations
9.
Huang, Tao, et al.. (2023). PQSCT: Pseudo-Siamese BERT for Concept Tagging With Both Questions and Solutions. IEEE Transactions on Learning Technologies. 16(5). 831–846. 5 indexed citations
10.
Wan, Qian, et al.. (2023). Document-level relation extraction with hierarchical dependency tree and bridge path. Knowledge-Based Systems. 278. 110873–110873. 8 indexed citations
11.
Sun, Jianwen, et al.. (2023). Adversarial Bootstrapped Question Representation Learning for Knowledge Tracing. 8016–8025. 9 indexed citations
12.
Liu, Sannyuya, et al.. (2023). Heterogeneous Evolution Network Embedding with Temporal Extension for Intelligent Tutoring Systems. ACM Transactions on Information Systems. 42(2). 1–28. 4 indexed citations
13.
Liu, Zhi, et al.. (2022). Looking at MOOC discussion data to uncover the relationship between discussion pacings, learners’ cognitive presence and learning achievements. Education and Information Technologies. 27(6). 8265–8288. 21 indexed citations
14.
Liu, Sannyuya, et al.. (2022). The Efficient Design of Lossy P-LDPC Codes over AWGN Channels. Electronics. 11(20). 3337–3337. 1 indexed citations
15.
16.
Shen, Xiaoxuan, et al.. (2022). Autobalanced Multitask Node Embedding Framework for Intelligent Education. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 8653–8667. 2 indexed citations
17.
Liu, Sannyuya, Zhi Liu, Jing Fang, et al.. (2021). Computer-supported collaborative concept mapping: the impact of students’ perceptions of collaboration on their knowledge understanding and behavioral patterns. Interactive Learning Environments. 31(6). 3340–3359. 20 indexed citations
18.
Liu, Sannyuya, Chen Chen, Lin Wang, & Shaohua Hong. (2019). Edge Connection Optimization for JSCC System Based on DP-LDPC Codes. IEEE Wireless Communications Letters. 8(4). 996–999. 12 indexed citations
19.
Liu, Zhi, et al.. (2019). Temporal emotion-aspect modeling for discovering what students are concerned about in online course forums. Interactive Learning Environments. 27(5-6). 598–627. 56 indexed citations
20.
Chen, Chen, Lin Wang, & Sannyuya Liu. (2018). The Design of Protograph LDPC Codes as Source Codes in a JSCC System. IEEE Communications Letters. 22(4). 672–675. 27 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by George D. Magoulas Breakdown of academic impact, for papers by Gideon Dror Breakdown of academic impact, for papers by Andreas Kerren Breakdown of academic impact, for papers by Tingting Liu Breakdown of academic impact, for papers by Konstantinos Diamantaras Breakdown of academic impact, for papers by Ruimin Shen Breakdown of academic impact, for papers by Chris North Breakdown of academic impact, for papers by Hai Liu Breakdown of academic impact, for papers by S. Levialdi
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