Yu Su
Impact in
- Computer Science Applications top 0.2%
- Online Learning and Analytics
- Artificial Intelligence top 0.5%
- Intelligent Tutoring Systems and Adaptive Learning
- Topic Modeling
- Natural Language Processing Techniques
Papers in
-
- Topic Modeling 36
- Natural Language Processing Techniques 25
- Intelligent Tutoring Systems and Adaptive Learning 18
- Advanced Graph Neural Networks 10
- Text and Document Classification Technologies 10
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- Multimodal Machine Learning Applications 12
- Co-authors
- Enhong Chen (22 shared papers)Frédéric Jurie (4 shared papers)Qi Liu (18 shared papers)Zhenya Huang (21 shared papers)Bingpeng Ma (2 shared papers)Yu Yin (9 shared papers)Пэйдэ Лю (5 shared papers)Xifeng Yan (13 shared papers)
- Journals
- The Journal of Chemical Physics (8 papers)Mechanical Systems and Signal Processing (3 papers)Journal of Manufacturing Processes (3 papers)Knowledge-Based Systems (3 papers)IEEE Transactions on Knowledge and Data Engineering (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yu Su
147 papers receiving 3.7k citations
Yu Su's Hit Papers
Peers
Comparison fields: 5 of 129
- Computer Science Applications 750
- Artificial Intelligence 2.2k
- Computer Vision and Pattern Recognition 1.1k
- Management Science and Operations Research 332
- Information Systems 546
Countries citing papers authored by Yu Su
This map shows the geographic impact of Yu Su'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 Yu Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Su more than expected).
Fields of papers citing papers by Yu Su
This network shows the impact of papers produced by Yu Su. 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 Yu Su. The network helps show where Yu Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction Hit paper breakdown → | 2019 | 289 |
| 2 | 2014 | 198 | |
| 3 | LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models Hit paper breakdown → | 2023 | 197 |
| 4 | 2011 | 174 | |
| 5 | 2018 | 152 | |
| 6 | 2012 | 144 | |
| 7 | 2018 | 116 | |
| 8 | 2010 | 102 | |
| 9 | 2021 | 88 | |
| 10 | 2021 | 84 | |
| 11 | 2017 | 82 | |
| 12 | 2012 | 75 | |
| 13 | 2020 | 75 | |
| 14 | 2022 | 69 | |
| 15 | 2020 | 69 | |
| 16 | 2016 | 59 | |
| 17 | 2016 | 54 | |
| 18 | 2017 | 54 | |
| 19 | 2010 | 50 | |
| 20 | 2018 | 50 |
About Yu Su
Yu Su is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and Computer Science Applications, having authored 155 papers that have together received 3.9k indexed citations. Recurring topics across this work include Topic Modeling (36 papers), Natural Language Processing Techniques (25 papers), Intelligent Tutoring Systems and Adaptive Learning (18 papers), Online Learning and Analytics (13 papers), Multimodal Machine Learning Applications (12 papers), Spectroscopy and Quantum Chemical Studies (11 papers), Advanced Graph Neural Networks (10 papers) and Text and Document Classification Technologies (10 papers). The work is most often cited by research in Computer Science Applications (750 citations), Artificial Intelligence (2.2k citations), Computer Vision and Pattern Recognition (1.1k citations), Management Science and Operations Research (332 citations) and Information Systems (546 citations). Yu Su has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Enhong Chen, Frédéric Jurie, Qi Liu, Zhenya Huang, Bingpeng Ma, Yu Yin, Пэйдэ Лю, Xifeng Yan, Xilin Chen and Shiguang Shan. Their work appears in journals such as The Journal of Chemical Physics, Mechanical Systems and Signal Processing, Journal of Manufacturing Processes, Knowledge-Based Systems and IEEE Transactions on Knowledge and Data Engineering.
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.