Qi Liu

3.9k total citations · 1 hit paper
144 papers, 2.1k citations indexed

About

Qi Liu is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Qi Liu has authored 144 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Artificial Intelligence, 35 papers in Computer Science Applications and 32 papers in Information Systems. Recurrent topics in Qi Liu's work include Intelligent Tutoring Systems and Adaptive Learning (45 papers), Topic Modeling (35 papers) and Online Learning and Analytics (33 papers). Qi Liu is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (45 papers), Topic Modeling (35 papers) and Online Learning and Analytics (33 papers). Qi Liu collaborates with scholars based in China, United States and Singapore. Qi Liu's co-authors include Enhong Chen, Zhenya Huang, Yu Su, Yu Yin, Shijin Wang, Hui Xiong, Hao Wang, Shuanghong Shen, Guoping Hu and Hongke Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Expert Systems with Applications and Chemical Science.

In The Last Decade

Qi Liu

122 papers receiving 2.0k citations

Hit Papers

align trajectories

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.

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

Qi Liu

AI

CSA

IS

CVPR

DEP

Mária Bieliková Slovakia

Roger Nkambou Canada

Nicola Capuano Italy

Anna Y.Q. Huang Taiwan

Tessa Lau United States

Keeley Crockett United Kingdom

Analı́a Amandi Argentina

Silvia Schiaffino Argentina

Greg Little United States

Felisa Verdejo Spain

Mária Bieliková Slovakia

Qi Liu

790 ×0.5

AI

329 ×0.5

CSA

865 ×1.9

IS

200 ×0.9

CVPR

144 ×1.2

DEP

Citations per year, relative to Qi Liu Qi Liu (= 1×) peers Mária Bieliková

Countries citing papers authored by Qi Liu

Since Specialization

Citations

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

Fields of papers citing papers by Qi Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Liu. A scholar is included among the top collaborators of Qi 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 Qi Liu. Qi Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Cheng, Mingyue, et al.. (2025). Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study. 3931–3941.

2.

Zhang, Kai, et al.. (2025). DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing. IEEE Transactions on Knowledge and Data Engineering. 37(4). 1714–1727. 7 indexed citations

3.

Zhang, Kai, et al.. (2025). Adaptive ensemble learning for efficient keyphrase extraction: Diagnosis, aggregation, and distillation. Expert Systems with Applications. 278. 127236–127236.

4.

Zhang, Kai, et al.. (2024). Target hierarchy-guided knowledge tracing : Fine-grained knowledge state modeling. Expert Systems with Applications. 251. 123898–123898. 6 indexed citations

5.

Cai, Peng, et al.. (2024). Chat2Query: A Zero-Shot Automatic Exploratory Data Analysis System with Large Language Models. 5429–5432. 5 indexed citations

6.

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

7.

Liu, Qi, et al.. (2024). Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models. arXiv (Cornell University). 2221–2230.

8.

Liu, Yang, et al.. (2024). Digger-Guider: High-Frequency Factor Extraction for Stock Trend Prediction. IEEE Transactions on Knowledge and Data Engineering. 36(12). 7973–7985. 1 indexed citations

9.

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

10.

Liu, Qi, et al.. (2024). Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation. 2352–2356. 2 indexed citations

11.

Liu, Qi, et al.. (2024). Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm. 3420–3431. 6 indexed citations

12.

Zhang, Hao, et al.. (2024). Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information. 4288–4292. 1 indexed citations

13.

Liu, Qi, et al.. (2024). Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling. 3241–3252. 2 indexed citations

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.

Liu, Qi, et al.. (2023). Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering. 3073–3082. 6 indexed citations

16.

Tong, Shiwei, et al.. (2023). Search-Efficient Computerized Adaptive Testing. 773–782. 2 indexed citations

17.

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

18.

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

19.

Zhao, Hongke, Qi Liu, Yong Ge, et al.. (2019). Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding. IEEE Transactions on Knowledge and Data Engineering. 32(8). 1652–1665. 39 indexed citations

20.

Chen, Enhong, et al.. (2018). Maximum a Posteriori Estimation for Information Source Detection. IEEE Transactions on Systems Man and Cybernetics Systems. 50(6). 2242–2256. 19 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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