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 20
- Advanced Graph Neural Networks 10
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- Multimodal Machine Learning Applications 12
- Face recognition and analysis 11
- Co-authors
- Frédéric Jurie (7 shared papers)Bingpeng Ma (4 shared papers)Enhong Chen (24 shared papers)Qi Liu (20 shared papers)Zhenya Huang (22 shared papers)Yu Yin (9 shared papers)Пэйдэ Лю (5 shared papers)Xifeng Yan (14 shared papers)
- Journals
- The Journal of Chemical Physics (8 papers)Journal of Manufacturing Processes (3 papers)Reliability Engineering & System Safety (3 papers)IEEE Transactions on Knowledge and Data Engineering (3 papers)Knowledge-Based Systems (3 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Yu Su
154 papers receiving 4.4k citations
Yu Su's Hit Papers
Peers
Comparison fields: 5 of 129
- Computer Science Applications 864
- Artificial Intelligence 2.4k
- Computer Vision and Pattern Recognition 1.5k
- Management Science and Operations Research 345
- Information Systems 603
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 163 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 | 323 |
| 2 | 2012 | 253 | |
| 3 | LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models Hit paper breakdown → | 2023 | 222 |
| 4 | 2014 | 218 | |
| 5 | 2018 | 180 | |
| 6 | 2012 | 179 | |
| 7 | 2011 | 177 | |
| 8 | 2018 | 126 | |
| 9 | 2010 | 111 | |
| 10 | 2021 | 97 | |
| 11 | 2021 | 95 | |
| 12 | 2017 | 89 | |
| 13 | 2020 | 88 | |
| 14 | 2012 | 85 | |
| 15 | 2022 | 75 | |
| 16 | 2020 | 73 | |
| 17 | 2016 | 70 | |
| 18 | 2016 | 61 | |
| 19 | 2006 | 61 | |
| 20 | 2017 | 59 |
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 163 papers that have together received 4.6k indexed citations. Recurring topics across this work include Topic Modeling (36 papers), Natural Language Processing Techniques (25 papers), Intelligent Tutoring Systems and Adaptive Learning (20 papers), Online Learning and Analytics (13 papers), Multimodal Machine Learning Applications (12 papers), Face recognition and analysis (11 papers), Spectroscopy and Quantum Chemical Studies (11 papers) and Advanced Graph Neural Networks (10 papers). The work is most often cited by research in Computer Science Applications (864 citations), Artificial Intelligence (2.4k citations), Computer Vision and Pattern Recognition (1.5k citations), Management Science and Operations Research (345 citations) and Information Systems (603 citations). Yu Su has collaborated with scholars based in China, United States and France. Frequent co-authors include Frédéric Jurie, Bingpeng Ma, Enhong Chen, Qi Liu, Zhenya Huang, Yu Yin, Пэйдэ Лю, Xifeng Yan, Shiguang Shan and Xilin Chen. Their work appears in journals such as The Journal of Chemical Physics, Journal of Manufacturing Processes, Reliability Engineering & System Safety, IEEE Transactions on Knowledge and Data Engineering and Knowledge-Based Systems.
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.