Yu Su

6.9k citations

152 papers · 3.7k indexed · 2 hit papers · h-index 33

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 ⓘ

Artificial Intelligence 78
- Topic Modeling 36
- Natural Language Processing Techniques 24
- Intelligent Tutoring Systems and Adaptive Learning 18
- Advanced Graph Neural Networks 10
- Text and Document Classification Technologies 10
Computer Science Applications 13
- Online Learning and Analytics 13

Co-authors: Frédéric Jurie (4 shared papers)Enhong Chen (22 shared papers)Zhenya Huang (21 shared papers)Bingpeng Ma (2 shared papers)Qi Liu (12 shared papers)Пэйдэ Лю (5 shared papers)Yu Yin (9 shared papers)Xifeng Yan (13 shared papers)
Journals: The Journal of Chemical Physics (8 papers)Knowledge-Based Systems (3 papers)Mechanical Systems and Signal Processing (3 papers)Journal of Manufacturing Processes (3 papers)IEEE Transactions on Knowledge and Data Engineering (3 papers)
Partner nations: China United States Australia

In The Last Decade

Yu Su

144 papers receiving 3.6k citations

Hit Papers

align trajectories log scale

LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models 2023 · 181 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models
2019 IEEE Transactions on Knowledge and Data Engineering

Peers

Countries citing papers authored by Yu Su

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yu Su Line = papers co-authored together Yu Su links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction IEEE Transactions on Knowledge and Data Engineering ·Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Hui Xiong, Yu Su, Guoping Hu Hit paper breakdown →	2019	276
2	Covariance descriptor based on bio-inspired features for person re-identification and face verification Image and Vision Computing ·Bingpeng Ma, Yu Su, Frédéric Jurie	2014	197
3	LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models Chan Hee Song, Brian M. Sadler, Jiaman Wu, Wei‐Lun Chao, Clayton Washington, Yu Su Hit paper breakdown →	2023	181
4	Research on the multi-attribute decision-making under risk with interval probability based on prospect theory and the uncertain linguistic variables Knowledge-Based Systems ·Пэйдэ Лю, Fang Jin, Xin Zhang, Yu Su, Minghe Wang	2011	174
5	Exercise-Enhanced Sequential Modeling for Student Performance Prediction Proceedings of the AAAI Conference on Artificial Intelligence ·Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris Ding, Si Wei, Guoping Hu	2018	147
6	BiCov: a novel image representation for person re-identification and face verification Bingpeng Ma, Yu Su, Frédéric Jurie	2012	143
7	Fuzzy Cognitive Diagnosis for Modelling Examinee Performance ACM Transactions on Intelligent Systems and Technology ·Qi Liu, Runze Wu, Enhong Chen, Guandong Xu, Yu Su, Zhigang Chen, Guoping Hu	2018	111
8	Adaptive generic learning for face recognition from a single sample per person Yu Su, Shiguang Shan, Xilin Chen, Wen Gao	2010	101
9	RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems Weibo Gao, Qi Liu, Zhenya Huang, Yu Yin, Haoyang Bi, Mu‐Chun Wang, Jianhui Ma, Shijin Wang, Yu Su	2021	83
10	Question Difﬁculty Prediction for READING Problems in Standard Tests Proceedings of the AAAI Conference on Artificial Intelligence ·Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu	2017	81
11	Learning Process-consistent Knowledge Tracing Shuanghong Shen, Qi Liu, Enhong Chen, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang	2021	80
12	Improving Image Classification Using Semantic Attributes International Journal of Computer Vision ·Yu Su, Frédéric Jurie	2012	74
13	Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process Shuanghong Shen, Qi Liu, Enhong Chen, Han Wu, Zhenya Huang, Weihao Zhao, Yu Su, Haiping Ma, Shijin Wang	2020	73
14	KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation Wenhu Chen, Yu Su, Xifeng Yan, William Yang Wang	2020	67
15	Table Cell Search for Question Answering Huan Sun, Hao Ma, Xiaodong He, Wen-tau Yih, Yu Su, Xifeng Yan	2016	58
16	NeuralCD: A General Framework for Cognitive Diagnosis IEEE Transactions on Knowledge and Data Engineering ·Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yu Yin, Shijin Wang, Yu Su	2022	57
17	On Generating Characteristic-rich Question Sets for QA Evaluation Yu Su, Huan Sun, Brian M. Sadler, Mudhakar Srivatsa, İzzeddin Gür, Zenghui Yan, Xifeng Yan	2016	54
18	Tracking Knowledge Proficiency of Students with Educational Priors Yuying Chen, Qi Liu, Zhenya Huang, Le Wu, Enhong Chen, Runze Wu, Yu Su, Guoping Hu	2017	53
19	The Extended TOPSIS Based on Trapezoid Fuzzy Linguistic Variables Journal of Convergence Information Technology ·Пэйдэ Лю, Yu Su	2010	50
20	Finding Similar Exercises in Online Education Systems Qi Liu, Zai Huang, Zhenya Huang, Chuanren Liu, Enhong Chen, Yu Su, Guoping Hu	2018	50

About Yu Su

Yu Su is a scholar working on Artificial Intelligence, Computer Science Applications, Computer Vision and Pattern Recognition, Hardware and Architecture and Software, having authored 152 papers that have together received 3.7k indexed citations. Recurring topics across this work include Topic Modeling (36 papers), Natural Language Processing Techniques (24 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 (734 citations), Artificial Intelligence (2.1k citations), Computer Vision and Pattern Recognition (1.1k citations), Management Science and Operations Research (330 citations) and Information Systems (533 citations). Yu Su has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Frédéric Jurie, Enhong Chen, Zhenya Huang, Bingpeng Ma, Qi Liu, Пэйдэ Лю, Yu Yin, Xifeng Yan, Xilin Chen and Shiguang Shan. Their work appears in journals such as The Journal of Chemical Physics, Knowledge-Based Systems, Mechanical Systems and Signal Processing, Journal of Manufacturing Processes 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.

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