Zhouxing Shi

502 total citations
11 papers, 116 citations indexed

About

Zhouxing Shi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Zhouxing Shi has authored 11 papers receiving a total of 116 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Zhouxing Shi's work include Topic Modeling (5 papers), Adversarial Robustness in Machine Learning (5 papers) and Advanced Neural Network Applications (4 papers). Zhouxing Shi is often cited by papers focused on Topic Modeling (5 papers), Adversarial Robustness in Machine Learning (5 papers) and Advanced Neural Network Applications (4 papers). Zhouxing Shi collaborates with scholars based in United States, China and Switzerland. Zhouxing Shi's co-authors include Minlie Huang, Cho‐Jui Hsieh, Kai-Wei Chang, Fan Yin, Jinfeng Yi, Huan Zhang, Pin‐Yu Chen, Yihan Wang, Bhavya Kailkhura and Minlie Huang and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, arXiv (Cornell University) and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Zhouxing Shi

10 papers receiving 114 citations

Peers

Zhouxing Shi
Comparison fields: 5 of 30
  • Artificial Intelligence 106
  • Signal Processing 14
  • Computer Vision and Pattern Recognition 12
  • Information Systems 10
  • Experimental and Cognitive Psychology 4
Replace Suhaila Abuowaida with:
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Siddhant Arora United States
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Suhaila Abuowaida Jordan View profile →
Citations per field, relative to Zhouxing Shi
Zhouxing Shi · 1×
Citations per year, relative to Zhouxing Shi
Zhouxing Shi · 1×

Countries citing papers authored by Zhouxing Shi

Since Specialization
Citations

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

Fields of papers citing papers by Zhouxing Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhouxing Shi

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 8
2 4
3 10
4 12
5
Fast Certified Robust Training via Better Initialization and Shorter Warmup.
2
6
Fast Certified Robust Training with Short Warmup
1
7
Provable, Scalable and Automatic Perturbation Analysis on General Computational Graphs
0
8
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond
7
9 13
10 14
11 45

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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