Yuxin Chen

674 citations
19 papers · 212 · h-index 9

Impact in

Papers in

Yuxin Chen

19 papers receiving 202 citations

Peers

Yuxin Chen
Comparison fields: 5 of 64
  • Artificial Intelligence 149
  • Computer Vision and Pattern Recognition 57
  • Health Informatics 3
  • Computer Science Applications 11
  • Management Science and Operations Research 25
Replace Yangyu Tao with:
Yangyu Tao China
Ke Zhai China
Lele Yu China
Zongzhang Zhang China
Shengnan Zhao China
Ta Nguyen Binh Duong Singapore
Ching-pei Lee Taiwan
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Sean Chester Canada
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Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Yuxin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yuxin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuxin Chen, 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 Yuxin Chen Line = papers co-authored together Yuxin Chen links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization
201347
2 201934
3 201822
4 202121
5 201417
6
Active Detection via Adaptive Submodularity
201417
7
Sequential Information Maximization: When is Greedy Near-optimal?
201512
8 202110
9 20058
10
Scalable Semidefinite Relaxation for Maximum A Posterior Estimation
20145
11
Near-Optimal Machine Teaching via Explanatory Teaching Sets
20184
12 20174
13 20243
14 20223
15
Learning to Make Decisions via Submodular Regularization
20211
16
The Teaching Dimension of Kernel Perceptron.
20211
17 20251
18
Interpretable Machine Teaching via Feature Feedback
20171
19 20221

About Yuxin Chen

Yuxin Chen is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Management Science and Operations Research and Molecular Biology, having authored 19 papers that have together received 212 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (9 papers), Machine Learning and Data Classification (5 papers), Explainable Artificial Intelligence (XAI) (4 papers), Topic Modeling (4 papers), Anomaly Detection Techniques and Applications (3 papers), Multimodal Machine Learning Applications (2 papers), Neural Networks and Applications (2 papers) and Advanced Bandit Algorithms Research (2 papers). The work is most often cited by research in Artificial Intelligence (149 citations), Computer Vision and Pattern Recognition (57 citations), Health Informatics (3 citations), Computer Science Applications (11 citations) and Management Science and Operations Research (25 citations). Yuxin Chen has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Andreas Krause, Yu Shi, Tian Wang, Hichem Snoussi, Yisong Yue, Guangcun Shan, Yi Zhou, Amin Karbasi, Oisin Mac Aodha and Pietro Perona. Their work appears in journals such as npj Computational Materials, IEEE Transactions on Cognitive and Developmental Systems, Engineering, LWT and Frontiers in Applied Mathematics and Statistics.

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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