Stephen Ojo

1.2k total citations
60 papers, 617 citations indexed

About

Stephen Ojo is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Stephen Ojo has authored 60 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 16 papers in Artificial Intelligence and 13 papers in Computer Networks and Communications. Recurrent topics in Stephen Ojo's work include Advanced MIMO Systems Optimization (10 papers), Millimeter-Wave Propagation and Modeling (9 papers) and Advanced Malware Detection Techniques (7 papers). Stephen Ojo is often cited by papers focused on Advanced MIMO Systems Optimization (10 papers), Millimeter-Wave Propagation and Modeling (9 papers) and Advanced Malware Detection Techniques (7 papers). Stephen Ojo collaborates with scholars based in United States, Saudi Arabia and Nigeria. Stephen Ojo's co-authors include Agbotiname Lucky Imoize, Joseph Isabona, Gabriel Avelino Sampedro, Timothy O. Olawumi, Daniel W.M. Chan, Michael C.H. Yam, Abdullah Al Hejaili, Ahmad Almadhor, Cheng‐Chi Lee and Sidra Abbas and has published in prestigious journals such as Scientific Reports, IEEE Access and Molecules.

In The Last Decade

Stephen Ojo

51 papers receiving 596 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen Ojo United States	16	165	139	108	103	64	60	617
Anas Basalamah Saudi Arabia	15	223 1.4×	215 1.5×	60 0.6×	86 0.8×	82 1.3×	35	650
Jingyu Zhang China	12	199 1.2×	158 1.1×	129 1.2×	107 1.0×	33 0.5×	45	700
Huyin Zhang China	12	129 0.8×	229 1.6×	46 0.4×	177 1.7×	67 1.0×	74	604
Mingliang Hou China	14	103 0.6×	149 1.1×	114 1.1×	196 1.9×	39 0.6×	47	606
Khac‐Hoai Nam Bui South Korea	14	135 0.8×	106 0.8×	264 2.4×	111 1.1×	52 0.8×	28	675
Angelo Difino Italy	9	145 0.9×	202 1.5×	59 0.5×	82 0.8×	30 0.5×	17	672
Kan Chen Singapore	11	160 1.0×	104 0.7×	88 0.8×	103 1.0×	49 0.8×	80	739
Kunal Gupta India	8	127 0.8×	96 0.7×	30 0.3×	140 1.4×	39 0.6×	33	597
Xiang Su China	9	115 0.7×	213 1.5×	96 0.9×	109 1.1×	24 0.4×	27	650

Countries citing papers authored by Stephen Ojo

Since Specialization

Citations

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

Fields of papers citing papers by Stephen Ojo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Ojo

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Ojo. A scholar is included among the top collaborators of Stephen Ojo 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 Stephen Ojo. Stephen Ojo 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

Almadhor, Ahmad, et al.. (2025). A cross-domain framework for emotion and stress detection using WESAD, SCIENTISST-MOVE, and DREAMER datasets. Frontiers in Bioengineering and Biotechnology. 13. 1659002–1659002.

Kim, Tae Hoon, et al.. (2024). TSSG-CNN: A Tuberculosis Semantic Segmentation-Guided Model for Detecting and Diagnosis Using the Adaptive Convolutional Neural Network. Diagnostics. 14(11). 1174–1174. 3 indexed citations

Abbas, Sidra, et al.. (2024). Securing Data From Side-Channel Attacks: A Graph Neural Network-Based Approach for Smartphone-Based Side Channel Attack Detection. IEEE Access. 12. 138904–138920. 3 indexed citations

Kim, Tae Hoon, et al.. (2024). Single and Mixed Sensory Anomaly Detection in Connected and Automated Vehicle Sensor Networks. Electronics. 13(10). 1885–1885. 2 indexed citations

Almadhor, Ahmad, Sidra Abbas, Gabriel Avelino Sampedro, et al.. (2024). Multi-Class Adaptive Active Learning for Predicting Student Anxiety. IEEE Access. 12. 58097–58105. 2 indexed citations

Ojo, Stephen, et al.. (2024). Scalable Hybrid Switching-Driven Software Defined Networking Issue: From the Perspective of Reinforcement Learning Standpoint. IEEE Access. 12. 63334–63350. 4 indexed citations

Abbas, Sidra, et al.. (2024). A Novel Deep Learning Approach for Myocardial Infarction Detection and Multi-Label Classification. IEEE Access. 12. 76003–76021. 3 indexed citations

Sampedro, Gabriel Avelino, et al.. (2024). Defending AI Models Against Adversarial Attacks in Smart Grids Using Deep Learning. IEEE Access. 12. 157408–157417. 5 indexed citations

Abbas, Sidra, Gabriel Avelino Sampedro, Shtwai Alsubai, et al.. (2024). Advancing Healthcare and Elderly Activity Recognition: Active Machine and Deep Learning for Fine- Grained Heterogeneity Activity Recognition. IEEE Access. 12. 44949–44959. 9 indexed citations

10.

Ojo, Stephen, et al.. (2024). TXAI-ADV: Trustworthy XAI for Defending AI Models against Adversarial Attacks in Realistic CIoT. Electronics. 13(9). 1769–1769. 2 indexed citations

11.

Ojo, Stephen, Sidra Abbas, Mehrez Marzougui, et al.. (2023). Graph Neural Network for Smartphone Recommendation System: A Sentiment Analysis Approach for Smartphone Rating. IEEE Access. 11. 140451–140463. 2 indexed citations

12.

Isabona, Joseph, Agbotiname Lucky Imoize, Stephen Ojo, Dinh‐Thuan Do, & Cheng‐Chi Lee. (2023). Machine Learning-Based GPR with LBFGS Kernel Parameters Selection for Optimal Throughput Mining in 5G Wireless Networks. Sustainability. 15(2). 1678–1678. 5 indexed citations

13.

Ojo, Stephen, et al.. (2023). Object detection and classification from compressed video streams. Expert Systems. 42(1). 3 indexed citations

14.

Joshi, Shubham, Stephen Ojo, Mohammed S. Alqahtani, et al.. (2023). Enhanced Drug Delivery System Using Mesenchymal Stem Cells and Membrane-Coated Nanoparticles. Molecules. 28(5). 2130–2130. 22 indexed citations

15.

Abbas, Sidra, et al.. (2023). Improving Smart Grids Security: An Active Learning Approach for Smart Grid-Based Energy Theft Detection. IEEE Access. 12. 1706–1717. 15 indexed citations

16.

Uppal, Mudita, Deepali Gupta, Nitin Goyal, et al.. (2023). A Real-Time Data Monitoring Framework for Predictive Maintenance Based on the Internet of Things. Complexity. 2023. 1–14. 17 indexed citations

17.

Isabona, Joseph, et al.. (2023). Accurate Base Station Placement in 4G LTE Networks Using Multiobjective Genetic Algorithm Optimization. Wireless Communications and Mobile Computing. 2023. 1–9. 6 indexed citations

18.

Ojo, Stephen, et al.. (2022). A Review of Artificial Intelligence and Machine Learning for Incident Detectors in Road Transport Systems. Mathematical and Computational Applications. 27(5). 77–77. 58 indexed citations

19.

Olawumi, Timothy O., Daniel W.M. Chan, Stephen Ojo, & Michael C.H. Yam. (2021). Automating the modular construction process: A review of digital technologies and future directions with blockchain technology. Journal of Building Engineering. 46. 103720–103720. 61 indexed citations

20.

Ojo, Stephen, et al.. (2020). A Fuzzy-Logic Based Signal Loss Model At 2.6ghz For Wireless Networks. International journal of scientific and technology research. 9(10). 69–73. 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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