Clinton Young

526 total citations
10 papers, 399 citations indexed

About

Clinton Young is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Signal Processing. According to data from OpenAlex, Clinton Young has authored 10 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 5 papers in Automotive Engineering and 4 papers in Signal Processing. Recurrent topics in Clinton Young's work include Vehicular Ad Hoc Networks (VANETs) (8 papers), Autonomous Vehicle Technology and Safety (5 papers) and Advanced Malware Detection Techniques (4 papers). Clinton Young is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (8 papers), Autonomous Vehicle Technology and Safety (5 papers) and Advanced Malware Detection Techniques (4 papers). Clinton Young collaborates with scholars based in United States. Clinton Young's co-authors include Joseph Zambreno, Gedare Bloom, Habeeb Olufowobi, Hali̇l Ceylan, Liang Dong, Peter Taylor, Yueyi Jiao, Shuo Yang, Seval Oren and Sunghwan Kim and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, IEEE Sensors Journal and IEEE Consumer Electronics Magazine.

In The Last Decade

Clinton Young

10 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Clinton Young United States	8	266	198	124	117	87	10	399
Guangsheng Feng China	13	173 0.7×	359 1.8×	183 1.5×	93 0.8×	21 0.2×	59	583
Xuan‐Tu Tran Vietnam	12	297 1.1×	189 1.0×	155 1.3×	63 0.5×	17 0.2×	87	560
Magdy A. El-Moursy Egypt	12	320 1.2×	170 0.9×	22 0.2×	33 0.3×	27 0.3×	70	499
T. S. B. Sudarshan India	11	97 0.4×	159 0.8×	55 0.4×	32 0.3×	11 0.1×	60	347
Feng Ran China	10	194 0.7×	81 0.4×	40 0.3×	31 0.3×	28 0.3×	72	363
Fangming Ye United States	14	385 1.4×	65 0.3×	129 1.0×	14 0.1×	34 0.4×	31	607
Dina Shehada United Arab Emirates	9	107 0.4×	152 0.8×	72 0.6×	24 0.2×	28 0.3×	22	305
Seung Eun Lee South Korea	11	154 0.6×	172 0.9×	59 0.5×	13 0.1×	14 0.2×	70	405
Diego Puschini France	10	136 0.5×	119 0.6×	76 0.6×	18 0.2×	16 0.2×	36	295

Countries citing papers authored by Clinton Young

Since Specialization

Citations

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

Fields of papers citing papers by Clinton Young

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clinton Young

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

All Works

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10 of 10 papers shown

1.

Young, Clinton, et al.. (2020). Towards Reverse Engineering Controller Area Network Messages Using Machine Learning. 1–6. 14 indexed citations

2.

Olufowobi, Habeeb, et al.. (2020). Reverse Engineering Controller Area Network Messages Using Unsupervised Machine Learning. IEEE Consumer Electronics Magazine. 11(1). 50–56. 20 indexed citations

3.

Olufowobi, Habeeb, Clinton Young, Joseph Zambreno, & Gedare Bloom. (2019). SAIDuCANT: Specification-Based Automotive Intrusion Detection Using Controller Area Network (CAN) Timing. IEEE Transactions on Vehicular Technology. 69(2). 1484–1494. 110 indexed citations

4.

Young, Clinton, Habeeb Olufowobi, Gedare Bloom, & Joseph Zambreno. (2019). Automotive Intrusion Detection Based on Constant CAN Message Frequencies Across Vehicle Driving Modes. 9–14. 51 indexed citations

5.

Olufowobi, Habeeb, et al.. (2019). Anomaly Detection Approach Using Adaptive Cumulative Sum Algorithm for Controller Area Network. 25–30. 41 indexed citations

6.

Young, Clinton, Joseph Zambreno, Habeeb Olufowobi, & Gedare Bloom. (2019). Survey of Automotive Controller Area Network Intrusion Detection Systems. IEEE Design and Test. 36(6). 48–55. 94 indexed citations

7.

Olufowobi, Habeeb, Gedare Bloom, Clinton Young, & Joseph Zambreno. (2018). Work-in-Progress: Real-Time Modeling for Intrusion Detection in Automotive Controller Area Network. 161–164. 11 indexed citations

8.

Young, Clinton, Joseph Zambreno, & Gedare Bloom. (2016). Towards a Fail-Operational Intrusion Detection System for In-Vehicle Networks. 2 indexed citations

9.

Jiao, Yueyi, Clinton Young, Shuo Yang, et al.. (2016). Wearable Graphene Sensors With Microfluidic Liquid Metal Wiring for Structural Health Monitoring and Human Body Motion Sensing. IEEE Sensors Journal. 16(22). 7870–7875. 55 indexed citations

10.

Young, Clinton. (1972). A computer program to calculate the pressure distribution on an annular aerofoil. 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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