Anuoluwapo Ajayi

4.5k total citations · 4 hit papers
44 papers, 3.0k citations indexed

About

Anuoluwapo Ajayi is a scholar working on Building and Construction, Electrical and Electronic Engineering and Radiological and Ultrasound Technology. According to data from OpenAlex, Anuoluwapo Ajayi has authored 44 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Building and Construction, 10 papers in Electrical and Electronic Engineering and 7 papers in Radiological and Ultrasound Technology. Recurrent topics in Anuoluwapo Ajayi's work include BIM and Construction Integration (10 papers), Building Energy and Comfort Optimization (7 papers) and Occupational Health and Safety Research (7 papers). Anuoluwapo Ajayi is often cited by papers focused on BIM and Construction Integration (10 papers), Building Energy and Comfort Optimization (7 papers) and Occupational Health and Safety Research (7 papers). Anuoluwapo Ajayi collaborates with scholars based in United Kingdom, Nigeria and Pakistan. Anuoluwapo Ajayi's co-authors include Olúgbénga O. Akinadé, Lukumon O. Oyedele, Lukman Akanbi, Muhammad Bilal, Juan Manuel Dávila Delgado, Hakeem A. Owolabi, Ashraf Ahmed, Sururah A. Bello, Xiaojun Luo and Lukumon O. Oyedele and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.

In The Last Decade

Anuoluwapo Ajayi

44 papers receiving 2.9k 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.

Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges

2021 503 citations Sofiat Abioye, Lukumon O. Oyedele et al. Journal of Building Engineering profile →
Robotics and automated systems in construction: Understanding industry-specific challenges for adoption

2019 388 citations Juan Manuel Dávila Delgado, Lukumon O. Oyedele et al. Journal of Building Engineering profile →
Deep learning in the construction industry: A review of present status and future innovations

2020 337 citations Taofeek Akinosho, Lukumon O. Oyedele et al. Journal of Building Engineering profile →
Cloud computing in construction industry: Use cases, benefits and challenges

2020 262 citations Sururah A. Bello, Lukumon O. Oyedele et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anuoluwapo Ajayi United Kingdom	23	1.6k	512	424	417	367	44	3.0k
Lukman Akanbi United Kingdom	22	1.5k 0.9×	454 0.9×	481 1.1×	311 0.7×	381 1.0×	30	2.8k
Juan Manuel Dávila Delgado United Kingdom	24	1.6k 1.0×	446 0.9×	307 0.7×	458 1.1×	529 1.4×	35	3.1k
Hakeem A. Owolabi United Kingdom	32	2.6k 1.6×	1.0k 2.0×	691 1.6×	386 0.9×	383 1.0×	46	4.0k
Farzad Pour Rahimian United Kingdom	30	2.0k 1.2×	579 1.1×	245 0.6×	336 0.8×	349 1.0×	126	3.1k
Chimay Anumba United States	37	2.4k 1.5×	1.2k 2.3×	587 1.4×	423 1.0×	689 1.9×	193	4.4k
Saheed Ajayi United Kingdom	29	2.9k 1.7×	1.1k 2.1×	662 1.6×	372 0.9×	243 0.7×	91	4.0k
Fernanda Leite United States	29	2.1k 1.3×	792 1.5×	357 0.8×	674 1.6×	298 0.8×	140	3.2k
Ron Wakefield Australia	27	1.3k 0.8×	903 1.8×	263 0.6×	229 0.5×	350 1.0×	107	2.5k
Muhammad Bilal United Kingdom	31	3.0k 1.8×	1.2k 2.4×	792 1.9×	601 1.4×	533 1.5×	52	4.8k
J.H.M. Tah United Kingdom	34	1.8k 1.1×	1.4k 2.7×	410 1.0×	609 1.5×	335 0.9×	79	3.4k

Countries citing papers authored by Anuoluwapo Ajayi

Since Specialization

Citations

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

Fields of papers citing papers by Anuoluwapo Ajayi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anuoluwapo Ajayi

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

Ajayi, Anuoluwapo, et al.. (2025). Ai-driven adaptive asset allocation: A machine learning approach to dynamic portfolio optimization in volatile financial markets. 8(1). 320–332. 2 indexed citations

Akinosho, Taofeek, Muhammad Bilal, Enda Hayes, et al.. (2023). Deep learning-based multi-target regression for traffic-related air pollution forecasting. SHILAP Revista de lepidopterología. 12. 100474–100474. 3 indexed citations

Akinosho, Taofeek, Muhammad Bilal, Enda Hayes, et al.. (2022). Deep Learning-Based Multi-Target Regression for Traffic-Related Air Pollution Forecasting. SSRN Electronic Journal. 5 indexed citations

Bello, Sururah A., Lukumon O. Oyedele, Kolawole Adisa Olonade, et al.. (2022). A deep learning approach to concrete water-cement ratio prediction. Results in Materials. 15. 100300–100300. 16 indexed citations

Ajayi, Anuoluwapo, Lukumon O. Oyedele, Juan Manuel Dávila Delgado, et al.. (2021). Deep learning and Boosted trees for injuries prediction in power infrastructure projects. Applied Soft Computing. 110. 107587–107587. 32 indexed citations

Abioye, Sofiat, Lukumon O. Oyedele, Lukman Akanbi, et al.. (2021). Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges. Journal of Building Engineering. 44. 103299–103299. 503 indexed citations breakdown →

Ajayi, Anuoluwapo, et al.. (2021). Machine learning predictions for lost time injuries in power transmission and distribution projects. SHILAP Revista de lepidopterología. 6. 100158–100158. 14 indexed citations

Luo, Xiaojun, Lukumon O. Oyedele, Anuoluwapo Ajayi, et al.. (2020). Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings. Energy and AI. 2. 100015–100015. 58 indexed citations

Luo, Xiaojun, Lukumon O. Oyedele, Anuoluwapo Ajayi, & Olúgbénga O. Akinadé. (2020). Comparative study of machine learning-based multi-objective prediction framework for multiple building energy loads. Sustainable Cities and Society. 61. 102283–102283. 101 indexed citations

10.

Ajayi, Anuoluwapo, et al.. (2020). A Decision Tree Classification Model for Cocoa Beans Quality Evaluation based on Digital Imaging. 27(1). 6–13. 2 indexed citations

11.

Luo, Xiaojun, Lukumon O. Oyedele, Olúgbénga O. Akinadé, & Anuoluwapo Ajayi. (2020). Two-stage capacity optimization approach of multi-energy system considering its optimal operation. Energy and AI. 1. 100005–100005. 24 indexed citations

12.

Luo, Xiaojun, Lukumon O. Oyedele, Olúgbénga O. Akinadé, & Anuoluwapo Ajayi. (2020). 3D pattern identification approach for cooling load profiles in different buildings. Journal of Building Engineering. 31. 101339–101339. 3 indexed citations

13.

Akinosho, Taofeek, Lukumon O. Oyedele, Muhammad Bilal, et al.. (2020). Deep learning in the construction industry: A review of present status and future innovations. Journal of Building Engineering. 32. 101827–101827. 337 indexed citations breakdown →

14.

Delgado, Juan Manuel Dávila, Lukumon O. Oyedele, Anuoluwapo Ajayi, et al.. (2019). Robotics and automated systems in construction: Understanding industry-specific challenges for adoption. Journal of Building Engineering. 26. 100868–100868. 388 indexed citations breakdown →

15.

Akinadé, Olúgbénga O., Lukumon O. Oyedele, Juan Manuel Dávila Delgado, et al.. (2019). Design for deconstruction using a circular economy approach: barriers and strategies for improvement. Production Planning & Control. 31(10). 829–840. 117 indexed citations

16.

Ajayi, Anuoluwapo, Lukumon O. Oyedele, Hakeem A. Owolabi, et al.. (2019). Deep Learning Models for Health and Safety Risk Prediction in Power Infrastructure Projects. Risk Analysis. 40(10). 2019–2039. 68 indexed citations

17.

Monyei, Chukwuka G., Lukumon O. Oyedele, Olúgbénga O. Akinadé, Anuoluwapo Ajayi, & Xiaojun Luo. (2019). Benchmarks for energy access: Policy vagueness and incoherence as barriers to sustainable electrification of the global south. Energy Research & Social Science. 54. 113–116. 16 indexed citations

18.

Ajayi, Anuoluwapo, et al.. (2018). Predicting Student Academic Performance in Computer Science Courses: A Comparison of Neural Network Models. International Journal of Modern Education and Computer Science. 10(6). 1–9. 25 indexed citations

19.

Akanbi, Lukman, Lukumon O. Oyedele, Juan Manuel Dávila Delgado, et al.. (2018). Reusability analytics tool for end-of-life assessment of building materials in a circular economy. World Journal of Science Technology and Sustainable Development. 16(1). 40–55. 37 indexed citations

20.

Ajayi, Anuoluwapo, et al.. (2010). Development and Testing of a Graphical FORTRAN Learning Tool for Novice Programmers. Interdisciplinary Journal of Information Knowledge and Management. 5. 277–291. 3 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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