Philip Asuquo

1.2k total citations · 1 hit paper
24 papers, 811 citations indexed

About

Philip Asuquo is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Philip Asuquo has authored 24 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 10 papers in Artificial Intelligence and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Philip Asuquo's work include Vehicular Ad Hoc Networks (VANETs) (8 papers), Privacy-Preserving Technologies in Data (5 papers) and Network Security and Intrusion Detection (4 papers). Philip Asuquo is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (8 papers), Privacy-Preserving Technologies in Data (5 papers) and Network Security and Intrusion Detection (4 papers). Philip Asuquo collaborates with scholars based in United Kingdom, Nigeria and China. Philip Asuquo's co-authors include Haitham Cruickshank, Zhili Sun, Ao Lei, Chibueze P. Anyigor Ogah, Yue Cao, Jeremy Morley, Dasen Li, Udoinyang G. Inyang, Michael Huth and Omowunmi Mary Longe and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Philip Asuquo

23 papers receiving 787 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Blockchain-Based Dynamic Key Management for Heterogeneous Intelligent Transportation Systems

2017 421 citations Ao Lei, Haitham Cruickshank et al. IEEE Internet of Things Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip Asuquo United Kingdom	11	493	408	357	213	68	24	811
Ao Lei United Kingdom	9	478 1.0×	366 0.9×	352 1.0×	197 0.9×	77 1.1×	17	747
Chibueze P. Anyigor Ogah United Kingdom	6	393 0.8×	312 0.8×	267 0.7×	155 0.7×	48 0.7×	6	607
Marco Steger Austria	7	558 1.1×	311 0.8×	277 0.8×	165 0.8×	100 1.5×	10	716
Yunhua He China	13	492 1.0×	259 0.6×	145 0.4×	277 1.3×	35 0.5×	37	724
Selcuk Uluagac United States	12	332 0.7×	271 0.7×	175 0.5×	180 0.8×	49 0.7×	33	765
Mohamed Baza United States	12	333 0.7×	191 0.5×	221 0.6×	184 0.9×	77 1.1×	53	606
Osman Khalid Pakistan	13	323 0.7×	486 1.2×	144 0.4×	97 0.5×	26 0.4×	25	748
Haoye Chai China	11	354 0.7×	272 0.7×	205 0.6×	252 1.2×	40 0.6×	24	591
Shouzhi Xu China	14	141 0.3×	602 1.5×	406 1.1×	116 0.5×	58 0.9×	58	856
Debashis Das India	13	337 0.7×	168 0.4×	99 0.3×	190 0.9×	39 0.6×	50	560

Countries citing papers authored by Philip Asuquo

Since Specialization

Citations

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

Fields of papers citing papers by Philip Asuquo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Asuquo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Asuquo, Philip, et al.. (2025). Hybrid CNN–BiLSTM–DNN Approach for Detecting Cybersecurity Threats in IoT Networks. Computers. 14(2). 58–58. 4 indexed citations

Asuquo, Philip, et al.. (2024). Customer Churn Prediction using Machine Learning Models. Journal of Engineering Research and Reports. 26(2). 181–193. 11 indexed citations

Asuquo, Philip, et al.. (2024). Analysis of Cybersecurity Vulnerabilities in Mobile Payment Applications. 1–12. 4 indexed citations

Moessner, Klaus, et al.. (2023). A Machine Learning Approach to Resource Management in Cloud Computing Environments. 1–6. 1 indexed citations

Asuquo, Philip, et al.. (2023). Diabetes and hypertension MobileHealth systems: a review of general challenges and advancements. SHILAP Revista de lepidopterología. 70(1). 4 indexed citations

Asuquo, Philip, et al.. (2023). Upper-air meteorological dataset for Uyo, using radiosonde. Data in Brief. 46. 108904–108904. 4 indexed citations

Asuquo, Philip, et al.. (2023). A hybrid machine learning model for detecting cybersecurity threats in IoT applications. International Journal of Information Technology. 15(6). 3359–3370. 24 indexed citations

Asuquo, Philip, et al.. (2023). Data-driven techniques for temperature data prediction: big data analytics approach. Environmental Monitoring and Assessment. 195(2). 343–343. 7 indexed citations

Asuquo, Philip, et al.. (2022). Descriptive and Diagnostic Analysis of NASA and NiMet Big Weather Data. 1–5. 1 indexed citations

10.

Asuquo, Philip, et al.. (2020). An Overview of Neural Network Architectures for Healthcare. 1–8. 3 indexed citations

11.

Cao, Yue, Ao Lei, Philip Asuquo, et al.. (2019). Pseudonym Management Through Blockchain: Cost-Efficient Privacy Preservation on Intelligent Transportation Systems. IEEE Access. 7. 80390–80403. 37 indexed citations

12.

Cruickshank, Haitham, et al.. (2019). Token-based Lightweight Authentication Scheme for Vehicle to Infrastructure Communications. 48 (6 pp.)–48 (6 pp.). 4 indexed citations

13.

Maple, Carsten, Matthew Bradbury, Haitham Cruickshank, et al.. (2019). IoT Transport and Mobility Demonstrator:Cyber Security Testing on National Infrastructure. Lancaster EPrints (Lancaster University). 1 indexed citations

14.

Asuquo, Philip, Haitham Cruickshank, Chibueze P. Anyigor Ogah, Ao Lei, & Zhili Sun. (2018). A Distributed Trust Management Scheme for Data Forwarding in Satellite DTN Emergency Communications. IEEE Journal on Selected Areas in Communications. 36(2). 246–256. 38 indexed citations

15.

Asuquo, Philip, Haitham Cruickshank, Jeremy Morley, et al.. (2018). Security and Privacy in Location-Based Services for Vehicular and Mobile Communications: An Overview, Challenges, and Countermeasures. IEEE Internet of Things Journal. 5(6). 4778–4802. 110 indexed citations

16.

Lei, Ao, Haitham Cruickshank, Yue Cao, et al.. (2017). Blockchain-Based Dynamic Key Management for Heterogeneous Intelligent Transportation Systems. IEEE Internet of Things Journal. 4(6). 1832–1843. 421 indexed citations breakdown →

17.

Cruickshank, Haitham, et al.. (2017). A lightweight authentication and privacy-preserving scheme for VANETs using TESLA and Bloom Filters. ICT Express. 4(4). 221–227. 31 indexed citations

18.

Lei, Ao, Chibueze P. Anyigor Ogah, Philip Asuquo, Haitham Cruickshank, & Zhili Sun. (2016). A Secure Key Management Scheme for Heterogeneous Secure Vehicular Communication Systems. ZTE communications. 14. 21–31. 23 indexed citations

19.

Asuquo, Philip, Haitham Cruickshank, Chibueze P. Anyigor Ogah, Ao Lei, & Zhili Sun. (2016). A collaborative trust management scheme for emergency communication using delay tolerant networks. View. 1–6. 6 indexed citations

20.

Asuquo, Philip, et al.. (2014). QoS Mechanism for RTP voice and RTP video based on Queuing Techniques. 3(5).

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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