Yubo Song

978 citations
66 papers · 396 indexed · h-index 12
Topics
Advanced Malware Detection Techniques (21 papers)Network Security and Intrusion Detection (19 papers)Internet Traffic Analysis and Secure E-voting (12 papers)
Partner nations
ChinaHong KongBangladesh

In The Last Decade

Yubo Song

52 papers receiving 359 citations

Peers

Yubo Song
Comparison fields: 5 of 43
  • Computer Networks and Communications 217
  • Artificial Intelligence 198
  • Signal Processing 144
  • Information Systems 113
  • Electrical and Electronic Engineering 56
Replace Wafa Ben Jaballah with:
Wafa Ben Jaballah France
Alfredo Nascita Italy
Ali A. Ghorbani Canada
Giampaolo Bovenzi Italy
Amarsinh Vidhate India
Vipindev Adat Vasudevan Greece
Muhammad Yousaf Pakistan
Yazan Otoum Canada
Trung V. Phan Germany
Benamar Kadri Algeria
Yubo Song relative to Wafa Ben Jaballah France Wafa Ben Jaballah's profile →
Citations per field
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Wafa Ben Jaballah · 1×
Citations per year

Countries citing papers authored by Yubo Song

Since Specialization
Citations

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

Fields of papers citing papers by Yubo Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yubo Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yubo Song. A scholar is included among the top collaborators of Yubo Song 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 Yubo Song. Yubo Song 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 2
3 0
4 0
5 1
6 1
7 3
8 1
9 0
10 41
11 12
12 1
13 50
14 1
15 2
16 0
17 0
18 1
19
An adaptive demodulation method for MPAM signals
2
20
Design and Implementation of WLAN Protocol Analysis System
1

About Yubo Song

Yubo Song is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 66 papers that have together received 396 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (21 papers), Network Security and Intrusion Detection (19 papers) and Internet Traffic Analysis and Secure E-voting (12 papers). The work is most often cited by research in Signal Processing (144 citations), Computer Networks and Communications (217 citations) and Artificial Intelligence (198 citations). Yubo Song has collaborated with scholars based in China, Hong Kong and Bangladesh. Frequent co-authors include Bin Xiao, Shang Gao, Aiqun Hu, Zhe Peng, Kui Ren, Linzhong Liu, Xi Chen, Ming Fan, Songtao Guo and Yuanyuan Yang. Their work appears in journals such as Analytical Chemistry, IEEE Internet of Things Journal and Applied Soft Computing.

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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