Zhenya Huang

4.5k total citations · 1 hit paper
113 papers, 2.3k citations indexed

About

Zhenya Huang is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Zhenya Huang has authored 113 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Artificial Intelligence, 37 papers in Computer Science Applications and 28 papers in Information Systems. Recurrent topics in Zhenya Huang's work include Intelligent Tutoring Systems and Adaptive Learning (50 papers), Topic Modeling (40 papers) and Online Learning and Analytics (34 papers). Zhenya Huang is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (50 papers), Topic Modeling (40 papers) and Online Learning and Analytics (34 papers). Zhenya Huang collaborates with scholars based in China, United States and Poland. Zhenya Huang's co-authors include Enhong Chen, Qi Liu, Yu Su, Yu Yin, Shijin Wang, Guoping Hu, Qi Liu, Shuanghong Shen, Qi Liu and Hui Xiong and has published in prestigious journals such as Journal of Medicinal Chemistry, Expert Systems with Applications and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Zhenya Huang

99 papers receiving 2.3k citations

Hit Papers

EKT: Exercise-Aware Knowledge Tracing for Student Perform... 2019 2026 2021 2023 2019 50 100 150 200 250
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. EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction
    2019 276 citations Qi Liu, Zhenya Huang et al. IEEE Transactions on Knowledge and Data Engineering profile →

Peers

Zhenya Huang
Qi Liu China
Hang Li China
Noriko Kando Japan
Chris Welty United States
Mordechai Ben‐Ari Israel
David Ferrucci United States
Eric Nyberg United States
Amelia Zafra Spain
Kushal Dave India
Qi Liu China
Zhenya Huang
Citations per year, relative to Zhenya Huang Zhenya Huang (= 1×) peers Qi Liu

Countries citing papers authored by Zhenya Huang

Since Specialization
Citations

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

Fields of papers citing papers by Zhenya Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenya Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenya Huang. A scholar is included among the top collaborators of Zhenya Huang 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 Zhenya Huang. Zhenya Huang 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.
Zhu, Mengxiao, et al.. (2025). Live streaming recommendation based on multiple types of repeated behaviors. Expert Systems with Applications. 288. 128217–128217. 1 indexed citations
2.
3.
Cheng, Cheng, Zhenya Huang, Yan Zhuang, et al.. (2024). Towards Explainable Computerized Adaptive Testing with Large Language Model. 2655–2672. 1 indexed citations
4.
Wu, Le, Qi Liu, Zhenya Huang, et al.. (2024). Understanding and improving fairness in cognitive diagnosis. Science China Information Sciences. 67(5). 10 indexed citations
5.
Shen, Shuanghong, et al.. (2024). Multi-task Information Enhancement Recommendation model for educational Self-Directed Learning System. Expert Systems with Applications. 252. 124073–124073. 2 indexed citations
6.
7.
Huang, Zhenya, et al.. (2024). A Diffusion-Based Cognitive Diagnosis Framework for Robust Learner Assessment. IEEE Transactions on Learning Technologies. 17. 2227–2241. 1 indexed citations
8.
Zhao, Chuang, Hongke Zhao, Hengshu Zhu, et al.. (2024). Bi-Discriminator Domain Adversarial Neural Networks With Class-Level Gradient Alignment. IEEE Transactions on Systems Man and Cybernetics Systems. 54(9). 5283–5295. 2 indexed citations
9.
Liu, Qi, et al.. (2024). Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling. 3241–3252. 2 indexed citations
10.
Liu, Qi, et al.. (2024). Unified Uncertainty Estimation for Cognitive Diagnosis Models. arXiv (Cornell University). 3545–3554. 2 indexed citations
11.
Huang, Zhenya, et al.. (2024). Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing. 1395–1406. 2 indexed citations
12.
Shen, Shuanghong, et al.. (2024). Constructing a Confidence-guided Multigraph Model for cognitive diagnosis in personalized learning. Expert Systems with Applications. 252. 124259–124259. 3 indexed citations
13.
14.
Shen, Shuanghong, Linbo Zhu, Le Wu, et al.. (2023). Global and local neural cognitive modeling for student performance prediction. Expert Systems with Applications. 237. 121637–121637. 5 indexed citations
15.
Huang, Zhenya, Qi Liu, Enhong Chen, et al.. (2023). Dynamic Cognitive Diagnosis: An Educational Priors-Enhanced Deep Knowledge Tracing Perspective. IEEE Transactions on Learning Technologies. 16(3). 306–323. 20 indexed citations
16.
17.
18.
Liu, Qi, et al.. (2023). Interventional Rationalization. 5 indexed citations
19.
Liu, Qi, Enhong Chen, Zhenya Huang, et al.. (2022). NeuralCD: A General Framework for Cognitive Diagnosis. IEEE Transactions on Knowledge and Data Engineering. 35(8). 8312–8327. 57 indexed citations
20.
Wang, Fei, Qi Liu, Enhong Chen, & Zhenya Huang. (2019). Interpretable Cognitive Diagnosis with Neural Network for Intelligent Educational Systems.. arXiv (Cornell University). 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Qi Liu Breakdown of academic impact, for papers by Hang Li Breakdown of academic impact, for papers by Noriko Kando Breakdown of academic impact, for papers by Chris Welty Breakdown of academic impact, for papers by Mordechai Ben‐Ari Breakdown of academic impact, for papers by David Ferrucci Breakdown of academic impact, for papers by Eric Nyberg Breakdown of academic impact, for papers by Amelia Zafra Breakdown of academic impact, for papers by Kushal Dave
Rankless by CCL
2026