Yu‐an Tan

3.1k citations
138 papers · 2.1k indexed · 1 hit paper · h-index 26
Topics
Adversarial Robustness in Machine Learning (29 papers)Advanced Malware Detection Techniques (28 papers)Advanced Data Storage Technologies (21 papers)

In The Last Decade

Yu‐an Tan

123 papers receiving 2.0k citations

Hit Papers

Secure Multi-Party Computation: Theory, practice and appl...2018202620202023201850100150200250

Peers

Yu‐an Tan
Comparison fields: 5 of 109
  • Artificial Intelligence 1.4k
  • Computer Networks and Communications 776
  • Information Systems 610
  • Signal Processing 416
  • Computer Vision and Pattern Recognition 391
Replace Chunfu Jia with:
Chunfu Jia China
Hung–Min Sun Taiwan
Alina Oprea United States
Andreas Haeberlen United States
Luca Caviglione Italy
Marco Canini Saudi Arabia
Chun‐I Fan Taiwan
Kexin Pei United States
Sharma Chakravarthy United States
Úlfar Erlingsson United States
Yu‐an Tan relative to Chunfu Jia China Chunfu Jia's profile →
Citations per field
00.5×1.5×2.4×
Chunfu Jia · 1×
Citations per year

Countries citing papers authored by Yu‐an Tan

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐an Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐an Tan. 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‐an Tan. The network helps show where Yu‐an Tan may publish in the future.

Co-authorship network of co-authors of Yu‐an Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐an Tan. A scholar is included among the top collaborators of Yu‐an Tan 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 Yu‐an Tan. Yu‐an Tan 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 1
2 0
3 2
4 1
5 8
6 4
7 3
8 3
9 1
10 1
11 7
12 1
13 3
14 15
15 4
16 9
17 1
18 27
19 11
20 1

About Yu‐an Tan

Yu‐an Tan is a scholar working on Hardware and Architecture, Signal Processing and Artificial Intelligence, having authored 138 papers that have together received 2.1k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (29 papers), Advanced Malware Detection Techniques (28 papers) and Advanced Data Storage Technologies (21 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Signal Processing (416 citations) and Computer Networks and Communications (776 citations). Yu‐an Tan has collaborated with scholars based in China, United Kingdom and United Arab Emirates. Frequent co-authors include Quanxin Zhang, Yuanzhang Li, Liehuang Zhu, Xiaosong Zhang, Liang Chen, Xiaohui Kuang, Xianmin Wang, Jun Zheng, Zhenxiang Chen and Shengnan Zhao. Their work appears in journals such as IEEE Access, Sensors and Applied Surface Science.

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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