Shang-Tse Chen

715 total citations
18 papers, 214 citations indexed

About

Shang-Tse Chen is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Shang-Tse Chen has authored 18 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Signal Processing and 2 papers in Computer Networks and Communications. Recurrent topics in Shang-Tse Chen's work include Adversarial Robustness in Machine Learning (4 papers), Machine Learning and Algorithms (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Shang-Tse Chen is often cited by papers focused on Adversarial Robustness in Machine Learning (4 papers), Machine Learning and Algorithms (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Shang-Tse Chen collaborates with scholars based in United States and Taiwan. Shang-Tse Chen's co-authors include Duen Horng Chau, Michael E. Kounavis, Li Chen, Fred Hohman, Nilaksh Das, Madhuri Shanbhogue, Siwei Li, Jason Martin, Cory Cornelius and Bistra Dilkina and has published in prestigious journals such as IEEE Transactions on Magnetics, ACM Transactions on Interactive Intelligent Systems and arXiv (Cornell University).

In The Last Decade

Shang-Tse Chen

13 papers receiving 206 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shang-Tse Chen United States 8 140 85 35 18 17 18 214
Chris Poppe Belgium 10 59 0.4× 187 2.2× 64 1.8× 26 1.4× 22 1.3× 31 244
Eric S. Téllez Mexico 12 175 1.3× 53 0.6× 47 1.3× 3 0.2× 47 2.8× 42 317
Zhen Qin United States 9 158 1.1× 209 2.5× 18 0.5× 9 0.5× 33 1.9× 24 301
Ziqiang Li China 10 93 0.7× 101 1.2× 29 0.8× 11 0.6× 43 2.5× 29 243
Huiping Zhuang China 7 97 0.7× 100 1.2× 17 0.5× 7 0.4× 7 0.4× 51 272
Chabane Djeraba France 7 122 0.9× 148 1.7× 23 0.7× 6 0.3× 42 2.5× 20 228
Chao Du China 8 104 0.7× 132 1.6× 21 0.6× 3 0.2× 43 2.5× 34 268

Countries citing papers authored by Shang-Tse Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shang-Tse Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shang-Tse Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shang-Tse Chen. A scholar is included among the top collaborators of Shang-Tse Chen 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 Shang-Tse Chen. Shang-Tse Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
2.
Chen, Shang-Tse, et al.. (2024). Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization. Proceedings of the AAAI Conference on Artificial Intelligence. 38(19). 21285–21293.
3.
4.
Chen, Shang-Tse, et al.. (2024). Enhancing Targeted Attack Transferability via Diversified Weight Pruning. 2904–2914.
5.
Mazumder, Sahisnu, Wenda Chen, Eda Okur, et al.. (2023). Position Matters! Empirical Study of Order Effect in Knowledge-grounded Dialogue. 36–43. 2 indexed citations
6.
Wu, Tsung-Han, Hung-Ting Su, Shang-Tse Chen, & Winston H. Hsu. (2023). Fair Robust Active Learning by Joint Inconsistency. 3624–3633.
7.
Chen, Shang-Tse, Cory Cornelius, Jason Martin, & Duen Horng Chau. (2018). Robust Physical Adversarial Attack on Faster R-CNN Object Detector. arXiv (Cornell University). 31 indexed citations
8.
Das, Nilaksh, Madhuri Shanbhogue, Shang-Tse Chen, et al.. (2018). Compression to the Rescue: Defending from Adversarial Attacks Across Modalities. Knowledge Discovery and Data Mining. 7 indexed citations
9.
Balcan, Maria-Florina, Avrim Blum, & Shang-Tse Chen. (2018). Diversified Strategies for Mitigating Adversarial Attacks in Multiagent Systems. Adaptive Agents and Multi-Agents Systems. 407–415. 3 indexed citations
10.
Chen, Shang-Tse, Minsuk Kahng, Kaya de Barbaro, et al.. (2018). Chronodes. ACM Transactions on Interactive Intelligent Systems. 8(1). 1–21. 18 indexed citations
11.
Das, Nilaksh, Madhuri Shanbhogue, Shang-Tse Chen, et al.. (2018). SHIELD. 196–204. 75 indexed citations
12.
Chen, Shang-Tse, et al.. (2017). Predicting Cyber Threats with Virtual Security Products. 189–199. 7 indexed citations
13.
Chen, Shang-Tse, Maria-Florina Balcan, & Duen Horng Chau. (2016). Communication Efficient Distributed Agnostic Boosting. International Conference on Artificial Intelligence and Statistics. 1299–1307. 4 indexed citations
14.
Madaio, Michael, Shang-Tse Chen, Oliver L. Haimson, et al.. (2016). Firebird. 185–194. 39 indexed citations
15.
Chen, Shang-Tse, et al.. (2015). TimeStitch: Interactive multi-focus cohort discovery and comparison. 209–210. 10 indexed citations
16.
Chen, Shang-Tse, Hsuan-Tien Lin, & Chi-Jen Lu. (2014). Boosting with Online Binary Learners for the Multiclass Bandit Problem. International Conference on Machine Learning. 342–350. 5 indexed citations
17.
Chen, Sheng‐Chi, et al.. (2014). Effect of Underlayer Structures on Microstructures and Magnetic Properties of Co-Rich Co-Pt Films Prepared at Ambient Temperature. IEEE Transactions on Magnetics. 50(7). 1–4. 2 indexed citations
18.
Lo, Hung-Yi, Kai‐Wei Chang, Shang-Tse Chen, et al.. (2009). An ensemble of three classifiers for KDD cup 2009: expanded linear model, heterogeneous boosting, and selective naïve Bayes. Knowledge Discovery and Data Mining. 57–64. 11 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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