Muhammad Ubale Kiru

753 total citations · 1 hit paper
5 papers, 478 citations indexed

About

Muhammad Ubale Kiru is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Muhammad Ubale Kiru has authored 5 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Muhammad Ubale Kiru's work include Video Surveillance and Tracking Methods (1 paper), Advanced Malware Detection Techniques (1 paper) and Neural Networks and Applications (1 paper). Muhammad Ubale Kiru is often cited by papers focused on Video Surveillance and Tracking Methods (1 paper), Advanced Malware Detection Techniques (1 paper) and Neural Networks and Applications (1 paper). Muhammad Ubale Kiru collaborates with scholars based in Malaysia, Nigeria and India. Muhammad Ubale Kiru's co-authors include Usman M. Gana, Abiodun Esther Omolara, Oludare Isaac Abiodun, Humaira Arshad, Bahari Belaton, Aman Jantan, Maryam Aminu, Khaled H. Almotairi, XinYing Chew and Ahmad MohdAziz Hussein and has published in prestigious journals such as IEEE Access, Journal of Intelligent & Fuzzy Systems and Journal of Computer Virology and Hacking Techniques.

In The Last Decade

Muhammad Ubale Kiru

5 papers receiving 465 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.

Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition

2019 456 citations Oludare Isaac Abiodun, Muhammad Ubale Kiru et al. IEEE Access profile →

Peers

Muhammad Ubale Kiru

AI

EEE

CSE

CNC

BE

Usman M. Gana Nigeria

Esra’a Alkafaween Jordan

Anurag Sharma India

Susmita Ray India

Laila Abdel‐Fatah Egypt

Muhammad Zubair Rehman Malaysia

Srishti Verma India

Md. Jakir Hossen Malaysia

Sanchita Basak United States

Usman M. Gana Nigeria

Muhammad Ubale Kiru

163 ×1.3

AI

122 ×1.1

EEE

40 ×0.9

CSE

43 ×1.0

CNC

40 ×1.0

BE

Citations per year, relative to Muhammad Ubale Kiru Muhammad Ubale Kiru (= 1×) peers Usman M. Gana

Countries citing papers authored by Muhammad Ubale Kiru

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Ubale Kiru

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Ubale Kiru. 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 Muhammad Ubale Kiru. The network helps show where Muhammad Ubale Kiru may publish in the future.

Co-authorship network of co-authors of Muhammad Ubale Kiru

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

All Works

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5 of 5 papers shown

1.

Kiru, Muhammad Ubale, Bahari Belaton, XinYing Chew, et al.. (2022). Comparative analysis of some selected generative adversarial network models for image augmentation: a case study of COVID-19 x-ray and CT images. Journal of Intelligent & Fuzzy Systems. 43(6). 7153–7172. 5 indexed citations

2.

Kiru, Muhammad Ubale, et al.. (2020). Intelligent Automatic Door System based on Supervised Learning. 43–47. 6 indexed citations

3.

Jantan, Aman, et al.. (2020). The effects of feature selection on the classification of encrypted botnet. Journal of Computer Virology and Hacking Techniques. 17(1). 61–74. 8 indexed citations

4.

Abiodun, Oludare Isaac, et al.. (2019). Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition. IEEE Access. 7. 158820–158846. 456 indexed citations breakdown →

5.

Kiru, Muhammad Ubale. (2016). A Critical Review of the Challenges, Threats, and Drawbacks of Humanoid and Autonomous Robots. Institute of Research Advances (Institute of Research Advances Press Of Institute Of Research Advances). 4(3). 135–135. 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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