Jun Xu

164 papers receiving 3.6k citations

Peers

Jun Xu
Comparison fields: 5 of 109
  • Statistics, Probability and Uncertainty 1.4k
  • Software 405
  • Signal Processing 798
  • Civil and Structural Engineering 1.3k
  • Computer Networks and Communications 660
Replace Igor V. Nikiforov with:
Igor V. Nikiforov France
Junbo Zhao United States
Gerhard Venter South Africa
H.A.P. Blom Netherlands
Michael J. Cloud United States
Alessandro Beghi Italy
S. Bittanti Italy
Maoyin Chen China
Dario Petri Italy
P.M. Frank Germany
Jun Xu relative to Igor V. Nikiforov France Igor V. Nikiforov's profile →
Citations per field
00.5×10×15×
Igor V. Nikiforov · 1×
Citations per year

Countries citing papers authored by Jun Xu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007183
2 2018180
3 2006176
4 2012156
5 2005120
6 201898
7 202090
8 201988
9 201987
10 201578
11
Architecture Support for Defending Against Buffer Overflow Attacks
200278
12 201278
13 200571
14 201865
15 200461
16 201457
17 201856
18 201655
19 201854
20 200652

About Jun Xu

Jun Xu is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering, Software, Signal Processing and Mechanics of Materials, having authored 176 papers that have together received 3.8k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (68 papers), Structural Health Monitoring Techniques (40 papers), Fatigue and fracture mechanics (28 papers), Advanced Malware Detection Techniques (25 papers), Seismic Performance and Analysis (22 papers), Security and Verification in Computing (17 papers), Advancements in Semiconductor Devices and Circuit Design (16 papers) and Semiconductor materials and devices (13 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.4k citations), Software (405 citations), Signal Processing (798 citations), Civil and Structural Engineering (1.3k citations) and Computer Networks and Communications (660 citations). Jun Xu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chao Dang, Jie Li, Fan Kong, De‐Cheng Feng, Jianbing Chen, Zbigniew Kalbarczyk, Chongkyung Kil, Ding Wang, Mithun Acharya and Xinyu Xing. Their work appears in journals such as Mechanical Systems and Signal Processing, Reliability Engineering & System Safety, Structural Safety, Engineering Structures and Journal of Engineering Mechanics.

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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