Diane Gan

825 total citations
37 papers, 546 citations indexed

About

Diane Gan is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems. According to data from OpenAlex, Diane Gan has authored 37 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 21 papers in Signal Processing and 17 papers in Information Systems. Recurrent topics in Diane Gan's work include Advanced Malware Detection Techniques (21 papers), Network Security and Intrusion Detection (17 papers) and Internet Traffic Analysis and Secure E-voting (8 papers). Diane Gan is often cited by papers focused on Advanced Malware Detection Techniques (21 papers), Network Security and Intrusion Detection (17 papers) and Internet Traffic Analysis and Secure E-voting (8 papers). Diane Gan collaborates with scholars based in United Kingdom and Bangladesh. Diane Gan's co-authors include George Loukas, Tuan Vuong, Ryan Heartfield, Anatolij Bezemskij, Georgia Sakellari, Richard Anthony, Avgoustinos Filippoupolitis, David Gresty, S. Cecchini and Edward H Phillips and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computer Communications.

In The Last Decade

Diane Gan

34 papers receiving 517 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Diane Gan United Kingdom	10	334	242	196	175	149	37	546
Marianne A. Azer Egypt	17	566 1.7×	229 0.9×	245 1.3×	198 1.1×	218 1.5×	89	803
Anatolij Bezemskij United Kingdom	6	254 0.8×	159 0.7×	133 0.7×	105 0.6×	136 0.9×	9	405
Francisco J. Aparicio‐Navarro United Kingdom	12	469 1.4×	282 1.2×	243 1.2×	183 1.0×	91 0.6×	27	572
Georgia Sakellari United Kingdom	11	387 1.2×	124 0.5×	149 0.8×	178 1.0×	151 1.0×	30	572
Shahrear Iqbal Canada	13	257 0.8×	165 0.7×	175 0.9×	118 0.7×	88 0.6×	31	451
Kyounggon Kim Saudi Arabia	11	168 0.5×	165 0.7×	123 0.6×	184 1.1×	126 0.8×	25	467
Firooz B. Saghezchi Portugal	14	407 1.2×	141 0.6×	148 0.8×	209 1.2×	211 1.4×	32	622
Rachid Zagrouba Saudi Arabia	14	538 1.6×	140 0.6×	147 0.8×	215 1.2×	341 2.3×	37	783
M. Omar Al-Kadri United Kingdom	10	307 0.9×	188 0.8×	121 0.6×	137 0.8×	176 1.2×	27	515
Zakaria Abou El Houda France	17	577 1.7×	192 0.8×	506 2.6×	263 1.5×	157 1.1×	38	927

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-authorship network of co-authors of Diane Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Diane Gan. A scholar is included among the top collaborators of Diane Gan 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 Diane Gan. Diane Gan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gresty, David, et al.. (2023). Forensic Implication of a Cyber-Enabled Fraud Taking Advantage of an Offline Adversary-in-the-Middle (AiTM) Attack. Greenwich Academic Literature Archive (University of Greenwich). 1258–1263. 1 indexed citations

Gresty, David, et al.. (2021). Have You Been Framed and Can You Prove It?. Greenwich Academic Literature Archive (University of Greenwich). 1236–1241. 2 indexed citations

Heartfield, Ryan, George Loukas, & Diane Gan. (2017). An eye for deception: A case study in utilizing the human-as-a-security-sensor paradigm to detect zero-day semantic social engineering attacks. Greenwich Academic Literature Archive (University of Greenwich). 371–378. 10 indexed citations

Bezemskij, Anatolij, George Loukas, Diane Gan, & Richard Anthony. (2017). Detecting Cyber-Physical Threats in an Autonomous Robotic Vehicle Using Bayesian Networks. Greenwich Academic Literature Archive (University of Greenwich). 98–103. 37 indexed citations

Loukas, George, et al.. (2017). Cloud-Based Cyber-Physical Intrusion Detection for Vehicles Using Deep Learning. IEEE Access. 6. 3491–3508. 182 indexed citations

Bezemskij, Anatolij, Richard Anthony, George Loukas, & Diane Gan. (2016). Threat evaluation based on automatic sensor signal characterisation and anomaly detection. 4 indexed citations

Gan, Diane, et al.. (2016). The V-network testbed for malware analysis. Greenwich Academic Literature Archive (University of Greenwich). 629–635. 6 indexed citations

Gresty, David, et al.. (2016). Facilitating forensic examinations of multi-user computer environments through session-to-session analysis of Internet history. Digital Investigation. 16. S124–S133. 6 indexed citations

Gan, Diane, et al.. (2016). A countermeasure mechanism for fast scanning malware. Greenwich Academic Literature Archive (University of Greenwich). 34. 1–8. 2 indexed citations

10.

Bezemskij, Anatolij, George Loukas, Richard Anthony, & Diane Gan. (2016). Behaviour-Based Anomaly Detection of Cyber-Physical Attacks on a Robotic Vehicle. Greenwich Academic Literature Archive (University of Greenwich). 61–68. 33 indexed citations

11.

Vuong, Tuan, George Loukas, Diane Gan, & Anatolij Bezemskij. (2015). Decision tree-based detection of denial of service and command injection attacks on robotic vehicles. Greenwich Academic Literature Archive (University of Greenwich). 1–6. 55 indexed citations

12.

Gan, Diane, et al.. (2015). Social Networking Privacy—Who’s Stalking You?. Future Internet. 7(1). 67–93. 9 indexed citations

13.

Vuong, Tuan, George Loukas, & Diane Gan. (2015). Performance Evaluation of Cyber-Physical Intrusion Detection on a Robotic Vehicle. Greenwich Academic Literature Archive (University of Greenwich). 2106–2113. 29 indexed citations

14.

Vuong, Tuan, Avgoustinos Filippoupolitis, George Loukas, & Diane Gan. (2014). Physical indicators of cyber attacks against a rescue robot. Greenwich Academic Literature Archive (University of Greenwich). 338–343. 25 indexed citations

15.

Loukas, George, Diane Gan, & Tuan Vuong. (2013). A Review of Cyber Threats and Defence Approaches in Emergency Management. Future Internet. 5(2). 205–236. 22 indexed citations

16.

Ghassemian, Hassan, et al.. (2012). Technology Perspective: Is Green IT a Threat to IT Security?.

17.

Gan, Diane, et al.. (2012). A forensics investigation into attacks on Linux servers. Greenwich Academic Literature Archive (University of Greenwich). 3 indexed citations

18.

Vuong, Tuan & Diane Gan. (2012). A targeted malicious email (TME) attack tool. Greenwich Academic Literature Archive (University of Greenwich). 2 indexed citations

19.

Gan, Diane, et al.. (1999). Traffic policing in ATM networks with multimedia traffic: the super leaky bucket. Computer Communications. 22(5). 439–450. 4 indexed citations

20.

Gan, Diane. (1995). Performance of an ATM network with multimedia traffic - a simulation study. 1995. 263–268. 1 indexed citations

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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