Ruoxi Jia

2.8k citations
48 papers · 1.3k indexed · 1 hit paper · h-index 20
Topics
Adversarial Robustness in Machine Learning (14 papers)Privacy-Preserving Technologies in Data (14 papers)Anomaly Detection Techniques and Applications (7 papers)
Journals
SHILAP Revista de lepidopterologíaProceedings of the IEEEApplied Energy

In The Last Decade

Ruoxi Jia

45 papers receiving 1.3k citations

Hit Papers

The Secret Revealer: Generative Model-Inversion Attacks A...2020202620222024202050100150200

Peers

Ruoxi Jia
Comparison fields: 5 of 93
  • Artificial Intelligence 677
  • Electrical and Electronic Engineering 316
  • Building and Construction 277
  • Computer Vision and Pattern Recognition 171
  • Information Systems 126
Replace Hany F. ElYamany with:
Hany F. ElYamany Egypt
Vincent C. S. Lee Australia
Bouziane Brik France
Jie Yang China
Tehseen Mazhar Pakistan
Xuan Li China
Sebastian Stein United Kingdom
Huaxiu Yao United States
Mostafa Haghi Kashani Iran
Basit Qureshi Saudi Arabia
Ruoxi Jia relative to Hany F. ElYamany Egypt Hany F. ElYamany's profile →
Citations per field
00.5×
Hany F. ElYamany · 1×
Citations per year

Countries citing papers authored by Ruoxi Jia

Since Specialization
Citations

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

Fields of papers citing papers by Ruoxi Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruoxi Jia

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 1
4 21
5 2
6 4
7 0
8 0
9 6
10 1
11 81
12 20
13 5
14
Robust anomaly detection and backdoor attack detection via differential privacy
11
15 15
16 63
17 27
18 37
19 1
20 24

About Ruoxi Jia

Ruoxi Jia is a scholar working on Artificial Intelligence, Health Informatics and Building and Construction, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (14 papers), Privacy-Preserving Technologies in Data (14 papers) and Anomaly Detection Techniques and Applications (7 papers). The work is most often cited by research in Health Informatics (36 citations), Artificial Intelligence (677 citations) and Building and Construction (277 citations). Ruoxi Jia has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Costas J. Spanos, Ming Jin, Dawn Song, Yuheng Zhang, Tianzhen Hong, Bo Li, Wenxiao Wang, Hengzhi Pei, Frances Ann Hubis and Nezihe Merve Gürel. Their work appears in journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Applied Energy.

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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