Jifan Yu

613 total citations
32 papers, 262 citations indexed

About

Jifan Yu is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Jifan Yu has authored 32 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 8 papers in Computer Science Applications and 6 papers in Information Systems. Recurrent topics in Jifan Yu's work include Topic Modeling (21 papers), Natural Language Processing Techniques (13 papers) and Online Learning and Analytics (8 papers). Jifan Yu is often cited by papers focused on Topic Modeling (21 papers), Natural Language Processing Techniques (13 papers) and Online Learning and Analytics (8 papers). Jifan Yu collaborates with scholars based in China, Singapore and United States. Jifan Yu's co-authors include Juanzi Li, Lei Hou, Zhiyuan Liu, Gan Luo, Yuquan Wang, Wenzheng Feng, Jing Zhang, Cuiping Li, Hong Chen and Jie Tang and has published in prestigious journals such as Expert Systems with Applications, Computers & Education and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

In The Last Decade

Jifan Yu

28 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jifan Yu China 9 215 85 66 36 30 32 262
Maryam Karimzadehgan United States 8 144 0.7× 206 2.4× 79 1.2× 29 0.8× 30 1.0× 11 240
Swarnadeep Saha United States 7 201 0.9× 42 0.5× 11 0.2× 35 1.0× 20 0.7× 14 228
Henning Rode Netherlands 7 130 0.6× 148 1.7× 56 0.8× 30 0.8× 11 0.4× 16 224
Hyokun Yun United States 5 92 0.4× 53 0.6× 16 0.2× 59 1.6× 12 0.4× 7 162
Parth Gupta Spain 10 269 1.3× 55 0.6× 9 0.1× 41 1.1× 16 0.5× 30 320
Huazheng Wang United States 7 193 0.9× 161 1.9× 26 0.4× 24 0.7× 165 5.5× 16 271
Florian Laws Germany 8 247 1.1× 16 0.2× 36 0.5× 11 0.3× 8 0.3× 9 277
Faegheh Hasibi Netherlands 8 170 0.8× 75 0.9× 8 0.1× 22 0.6× 40 1.3× 21 200
Benoît Dumoulin United States 9 208 1.0× 189 2.2× 117 1.8× 13 0.4× 11 0.4× 16 290
Rémi Zajac United States 10 285 1.3× 47 0.6× 16 0.2× 12 0.3× 42 1.4× 36 320

Countries citing papers authored by Jifan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jifan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jifan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jifan Yu. A scholar is included among the top collaborators of Jifan Yu 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 Jifan Yu. Jifan Yu 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
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Yu, Jifan, Jing Zhang, Huihui Yuan, et al.. (2025). SoAy: A Solution-based LLM API-using Methodology for Academic Information Seeking. 2660–2671. 3 indexed citations
3.
Yu, Jifan, et al.. (2025). Mapping student-AI interaction dynamics in multi-agent learning environments: Supporting personalized learning and reducing performance gaps. Computers & Education. 241. 105472–105472. 2 indexed citations
4.
Yu, Jifan, Yuanxin Ouyang, Zhuang Liu, et al.. (2025). Explainable Few-Shot Knowledge Tracing. 2(4). 1 indexed citations
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Zhang, Zheyuan, et al.. (2025). Simulating Classroom Education with LLM-Empowered Agents. 10364–10379. 3 indexed citations
7.
Yu, Jifan, et al.. (2024). R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models. arXiv (Cornell University). 5813–5824.
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Wang, Yuquan, et al.. (2023). Distantly Supervised Course Concept Extraction in MOOCs with Academic Discipline. 13044–13059. 3 indexed citations
11.
Yu, Jifan, et al.. (2023). Exploring sequence-to-sequence taxonomy expansion via language model probing. Expert Systems with Applications. 239. 122321–122321. 4 indexed citations
12.
Zhang, Jing, et al.. (2023). GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation. 5564–5575. 10 indexed citations
13.
Yu, Jifan, Xiaozhi Wang, Bin Xu, et al.. (2023). GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation. 5391–5395. 9 indexed citations
14.
Zhu, Fangwei, Jifan Yu, Hailong Jin, et al.. (2023). Learn to Not Link: Exploring NIL Prediction in Entity Linking. 3 indexed citations
15.
Cao, Shulin, Jifan Yu, Hailong Jin, et al.. (2023). VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answering. 179–189. 2 indexed citations
16.
Lv, Xin, et al.. (2023). KoRC: Knowledge Oriented Reading Comprehension Benchmark for Deep Text Understanding. 11689–11707. 1 indexed citations
17.
Qi, Ji, Xiaozhi Wang, Jifan Yu, et al.. (2023). Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction. 5876–5890. 1 indexed citations
18.
Yu, Jifan, Yuquan Wang, Gan Luo, et al.. (2021). MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs. 4643–4652. 24 indexed citations
19.
Yu, Jifan, Gan Luo, Tong Xiao, et al.. (2020). MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs. 3135–3142. 74 indexed citations
20.
Yu, Jifan, Chenyu Wang, Gan Luo, et al.. (2020). ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs. 770–780. 4 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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