Xiaoyu Ji

3.6k citations
190 papers · 2.3k indexed · 1 hit paper · h-index 22

Impact in

    • Advanced Malware Detection Techniques
    • Speech and Audio Processing
    • Music and Audio Processing
    • Adversarial Robustness in Machine Learning
    • Speech Recognition and Synthesis

Papers in

Xiaoyu Ji

165 papers receiving 2.2k citations

Hit Papers

DolphinAttack 2017 · 375 citations
3752017202620202023100200300

Peers

Xiaoyu Ji
Comparison fields: 5 of 129
  • Signal Processing 746
  • Artificial Intelligence 817
  • Computer Networks and Communications 515
  • Information Systems 409
  • Computer Vision and Pattern Recognition 361
Replace Manju Khari with:
Manju Khari India
Selvakumar Manickam Malaysia
Saqib Hakak Canada
Minglu Li China
Zahid Halim Pakistan
Ahmad Y. Javaid United States
Longzhi Yang United Kingdom
Shonali Krishnaswamy Australia
Ankit Thakkar India
Chao Lu United States
Xiaoyu Ji relative to Manju Khari India Manju Khari's profile →
Citations per field
00.5×
Manju Khari · 1×
Citations per year

Countries citing papers authored by Xiaoyu Ji

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyu Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20250
5 202413
6 20240
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11 20244
12 20240
13 202316
14 202312
15 20225
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17 20225
18 20226
19 202237
20 20131

About Xiaoyu Ji

Xiaoyu Ji is a scholar working on Signal Processing, Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 190 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (34 papers), User Authentication and Security Systems (29 papers), Digital Media Forensic Detection (18 papers), Speech and Audio Processing (17 papers), Adversarial Robustness in Machine Learning (16 papers), Cryptographic Implementations and Security (15 papers), Network Security and Intrusion Detection (15 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (15 papers). The work is most often cited by research in Signal Processing (746 citations), Artificial Intelligence (817 citations), Computer Networks and Communications (515 citations), Information Systems (409 citations) and Computer Vision and Pattern Recognition (361 citations). Xiaoyu Ji has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wenyuan Xu, Chen Yan, Taimin Zhang, Guoming Zhang, Tianchen Zhang, Wenyuan Xu, Zhen Shao, Yushi Cheng, Yi‐Chao Chen and Xinyan Zhou. Their work appears in journals such as ACM Transactions on Sensor Networks, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal and Sensors.

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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