Diane Gan

34 papers receiving 524 citations

Peers

Diane Gan
Comparison fields: 5 of 54
  • Signal Processing 242
  • Computer Networks and Communications 334
  • Information Systems 173
  • Artificial Intelligence 198
  • Control and Systems Engineering 107
Replace Tuan Vuong with:
Tuan Vuong United Kingdom
Francisco J. Aparicio‐Navarro United Kingdom
Georgia Sakellari United Kingdom
Marianne A. Azer Egypt
Shahrear Iqbal Canada
Firooz B. Saghezchi Portugal
Rachid Zagrouba Saudi Arabia
Anatolij Bezemskij United Kingdom
Anhtuan Le United Kingdom
Kyounggon Kim Saudi Arabia
Diane Gan relative to Tuan Vuong United Kingdom Tuan Vuong's profile →
Citations per field
00.5×1.5×2.0×
Tuan Vuong · 1×
Citations per year

Countries citing papers authored by Diane Gan

Since Specialization
Citations

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

Fields of papers citing papers by Diane Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Diane Gan, 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 Diane Gan Line = papers co-authored together Diane Gan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017183
2 201658
3 201555
4 201737
5 201633
6 201529
7 201425
8 201324
9 201412
10 201710
11 20159
12 20139
13
Social engineering in the internet of everything
20169
14 20227
15 20226
16 20166
17 20166
18 19994
19 20164
20
Threat evaluation based on automatic sensor signal characterisation and anomaly detection
20164

About Diane Gan

Diane Gan is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Artificial Intelligence and Electrical and Electronic Engineering, having authored 37 papers that have together received 551 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (21 papers), Network Security and Intrusion Detection (17 papers), Digital and Cyber Forensics (8 papers), Internet Traffic Analysis and Secure E-voting (8 papers), Vehicular Ad Hoc Networks (VANETs) (5 papers), Spam and Phishing Detection (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Smart Grid Security and Resilience (4 papers). The work is most often cited by research in Signal Processing (242 citations), Computer Networks and Communications (334 citations), Information Systems (173 citations), Artificial Intelligence (198 citations) and Control and Systems Engineering (107 citations). Diane Gan has collaborated with scholars based in United Kingdom and Bangladesh. Frequent co-authors include George Loukas, Tuan Vuong, Ryan Heartfield, Anatolij Bezemskij, Georgia Sakellari, Richard Anthony, Avgoustinos Filippoupolitis, David Gresty, S. Cecchini and David Chadwick. Their work appears in journals such as IEEE Access, Future Internet, Digital Investigation, Computer Communications and International Journal of Grid and Utility 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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