T. Andrew Yang

975 total citations
31 papers, 634 citations indexed

About

T. Andrew Yang is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, T. Andrew Yang has authored 31 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 11 papers in Information Systems and 8 papers in Signal Processing. Recurrent topics in T. Andrew Yang's work include Energy Efficient Wireless Sensor Networks (7 papers), Advanced Malware Detection Techniques (6 papers) and Network Security and Intrusion Detection (5 papers). T. Andrew Yang is often cited by papers focused on Energy Efficient Wireless Sensor Networks (7 papers), Advanced Malware Detection Techniques (6 papers) and Network Security and Intrusion Detection (5 papers). T. Andrew Yang collaborates with scholars based in United States, China and Japan. T. Andrew Yang's co-authors include Kewei Sha, Sadegh Davari, Wei Wei, Wei Wei, Zhiwei Wang, Weisong Shi, Bo Sun, Yang Xiao, Giuseppe De Marco and Leonard Barolli and has published in prestigious journals such as Electronics Letters, Future Generation Computer Systems and Computer Communications.

In The Last Decade

T. Andrew Yang

31 papers receiving 585 citations

Peers

T. Andrew Yang
Comparison fields: 5 of 73
  • Computer Networks and Communications 423
  • Information Systems 253
  • Artificial Intelligence 156
  • Electrical and Electronic Engineering 138
  • Signal Processing 134
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Hicham Lakhlef France
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Citations per field, relative to T. Andrew Yang
T. Andrew Yang · 1×
Citations per year, relative to T. Andrew Yang
T. Andrew Yang · 1×

Countries citing papers authored by T. Andrew Yang

Since Specialization
Citations

This map shows the geographic impact of T. Andrew Yang'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 T. Andrew Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Andrew Yang more than expected).

Fields of papers citing papers by T. Andrew Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Andrew Yang. 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 T. Andrew Yang. The network helps show where T. Andrew Yang may publish in the future.

Co-authorship network of co-authors of T. Andrew Yang

This figure shows the co-authorship network connecting the top 25 collaborators of T. Andrew Yang. A scholar is included among the top collaborators of T. Andrew Yang 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 T. Andrew Yang. T. Andrew Yang 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
# Work Indexed citations
1 173
2
Exploring How the NICE Cybersecurity Workforce Framework Aligns Cybersecurity Jobs with Potential Candidates
2
3 1
4 43
5 19
6
Rootkit attacks and protection: a case study of teaching network security
4
7
WSNED : a suite of data collection and dissemination applications for W ireless S ensor N etwork ED ucation
1
8 1
9 28
10
Network security development process: a framework for teaching network security courses
4
11 3
12 29
13 28
14 18
15 14
16 12
17 2
18 1
19 25
20 1

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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