Ayodele Lasisi

460 total citations
34 papers, 198 citations indexed

About

Ayodele Lasisi is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ayodele Lasisi has authored 34 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Electrical and Electronic Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ayodele Lasisi's work include Metaheuristic Optimization Algorithms Research (4 papers), IoT and Edge/Fog Computing (3 papers) and Educational Technology and Assessment (3 papers). Ayodele Lasisi is often cited by papers focused on Metaheuristic Optimization Algorithms Research (4 papers), IoT and Edge/Fog Computing (3 papers) and Educational Technology and Assessment (3 papers). Ayodele Lasisi collaborates with scholars based in Saudi Arabia, India and Ethiopia. Ayodele Lasisi's co-authors include Quadri Noorulhasan Naveed, Shankha Shubhra Goswami, Saiful Islam, Reem Alshahrani, Fares Alharbi, Nadeem A. Khan, Sasan Zahmatkesh, S. Gopal Krishna Patro, Mohammed A. M. AlGerafi and Chandrakanta Mahanty and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Ayodele Lasisi

31 papers receiving 177 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayodele Lasisi Saudi Arabia 8 41 37 32 30 21 34 198
Ketan Rathor India 8 41 1.0× 48 1.3× 40 1.3× 40 1.3× 31 1.5× 11 365
Irfan Syamsuddin Indonesia 8 39 1.0× 76 2.1× 45 1.4× 14 0.5× 17 0.8× 42 255
Olivier Camp France 7 41 1.0× 43 1.2× 31 1.0× 22 0.7× 26 1.2× 28 177
Chinnasami Sivaji India 9 40 1.0× 31 0.8× 13 0.4× 37 1.2× 38 1.8× 50 328
Haoyu Wen China 8 48 1.2× 41 1.1× 47 1.5× 21 0.7× 17 0.8× 40 268
Alla G. Kravets Russia 8 31 0.8× 52 1.4× 18 0.6× 29 1.0× 11 0.5× 68 219
Muhammad Tahir Pakistan 9 23 0.6× 43 1.2× 31 1.0× 38 1.3× 7 0.3× 37 219
Alex Khang India 8 33 0.8× 37 1.0× 62 1.9× 22 0.7× 8 0.4× 28 210
Yuheng Ren China 9 57 1.4× 28 0.8× 19 0.6× 13 0.4× 7 0.3× 31 248
Akash Singh India 9 29 0.7× 27 0.7× 30 0.9× 48 1.6× 19 0.9× 38 227

Countries citing papers authored by Ayodele Lasisi

Since Specialization
Citations

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

Fields of papers citing papers by Ayodele Lasisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayodele Lasisi

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

All Works

20 of 20 papers shown
1.
Santhosh, N., et al.. (2025). ANN and machine learning based predictions of MRR in AWSJ machining of CFRP composites. Scientific Reports. 15(1). 14218–14218. 3 indexed citations
2.
Algburi, Sameer, Hassan Falah Fakhruldeen, I.B. Sapaev, et al.. (2025). Optimizing smart grid flexibility with a hybrid MINLP framework for renewable integration in urban energy systems. Energy Reports. 14. 508–523. 2 indexed citations
3.
Malik, Saleem, S. Gopal Krishna Patro, Chandrakanta Mahanty, et al.. (2025). Hybrid metaheuristic optimization for detecting and diagnosing noncommunicable diseases. Scientific Reports. 15(1). 7816–7816. 2 indexed citations
4.
Malik, Saleem, S. Gopal Krishna Patro, Chandrakanta Mahanty, et al.. (2025). Advancing educational data mining for enhanced student performance prediction: a fusion of feature selection algorithms and classification techniques with dynamic feature ensemble evolution. Scientific Reports. 15(1). 8738–8738. 4 indexed citations
5.
Malik, Saleem, S. Gopal Krishna Patro, Chandrakanta Mahanty, et al.. (2025). Quantum-Inspired gravitationally guided particle swarm optimization for feature selection and classification. Scientific Reports. 15(1). 34155–34155.
6.
Malik, Saleem, S. Gopal Krishna Patro, Chandrakanta Mahanty, Ayodele Lasisi, & Osamah J. Al-sareji. (2025). MutaSwarmClus: enhancing data clustering efficiency with mutation-enhanced swarm algorithm. Cluster Computing. 28(3). 3 indexed citations
7.
Ajaj, Yathrib, Anjan Kumar, Dheyaa J. Jasim, et al.. (2024). Innovative biomass waste heat utilization for green hydrogen production: A comparative and optimization study of steam and organic rankine cycles. Process Safety and Environmental Protection. 190. 148–174. 4 indexed citations
8.
Ghazaly, Nouby M., et al.. (2024). Enhancing quantum capacitance in BNyne/Graphene heterostructures through transition-metal dopants for high-performance supercapacitors. Journal of Organometallic Chemistry. 1022. 123404–123404. 1 indexed citations
9.
Naveed, Quadri Noorulhasan, et al.. (2024). A Multi-Layered Assessment System for Trustworthiness Enhancement and Reliability for Industrial Wireless Sensor Networks. Wireless Personal Communications. 137(4). 1997–2036. 7 indexed citations
10.
Padmaja, B., et al.. (2024). Exploring vision transformers and XGBoost as deep learning ensembles for transforming carcinoma recognition. Scientific Reports. 14(1). 30052–30052. 3 indexed citations
11.
Mustafa, Mohammed Ahmed, et al.. (2024). Design gas sensor based on transition metal doped graphene like nanosheets: A quantum chemical study. Diamond and Related Materials. 143. 110895–110895. 1 indexed citations
12.
Chandra, S., Pooja Bansal, Harpreet Kaur, et al.. (2024). Theoretical and experimental study of flower-like NiMoS/NiO/NF with interface layer as a novel highly efficient bifunctional-electrode toward supercapacitor and HER. Journal of Electroanalytical Chemistry. 960. 118163–118163. 5 indexed citations
13.
Ajaj, Yathrib, et al.. (2024). Investigation of hexagonal boron nitride monolayer with pores as an anode material for sodium-ion batteries. Diamond and Related Materials. 145. 111100–111100. 4 indexed citations
14.
Mahanty, Chandrakanta, et al.. (2024). Effective Alzheimer’s disease detection using enhanced Xception blending with snapshot ensemble. Scientific Reports. 14(1). 29263–29263. 7 indexed citations
15.
AlGerafi, Mohammed A. M., Shankha Shubhra Goswami, Sushil Kumar Sahoo, et al.. (2024). Promoting inclusivity in education amid the post-COVID-19 challenges: An interval-valued fuzzy model for pedagogy method selection. The International Journal of Management Education. 22(3). 101018–101018. 6 indexed citations
16.
Mubarak, Auwalu Saleh, et al.. (2024). Quasi-Newton optimised Kolmogorov-Arnold Networks for wind farm power prediction. Heliyon. 10(23). e40799–e40799. 7 indexed citations
17.
Alshahrani, Reem, Fares Alharbi, Shankha Shubhra Goswami, et al.. (2023). Establishing the fuzzy integrated hybrid MCDM framework to identify the key barriers to implementing artificial intelligence-enabled sustainable cloud system in an IT industry. Expert Systems with Applications. 238. 121732–121732. 52 indexed citations
18.
Shiraz, Muhammad, et al.. (2023). Microservice Application Scheduling in Multi-Tiered Fog-Computing-Enabled IoT. Sensors. 23(16). 7142–7142. 5 indexed citations
19.
Ghazali, Rozaida, et al.. (2020). MCS-MCMC for Optimising Architectures and Weights of Higher Order Neural Networks. International Journal of Intelligent Systems and Applications. 12(5). 52–72. 2 indexed citations
20.
Lasisi, Ayodele, et al.. (2015). Knowledge extraction of agricultural data using artificial immune system. 125c. 1653–1658. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ketan Rathor Breakdown of academic impact, for papers by Irfan Syamsuddin Breakdown of academic impact, for papers by Olivier Camp Breakdown of academic impact, for papers by Chinnasami Sivaji Breakdown of academic impact, for papers by Haoyu Wen Breakdown of academic impact, for papers by Alla G. Kravets Breakdown of academic impact, for papers by Muhammad Tahir Breakdown of academic impact, for papers by Alex Khang Breakdown of academic impact, for papers by Yuheng Ren Breakdown of academic impact, for papers by Akash Singh
Rankless by CCL
2026