Allah Bux Sargano

795 total citations
29 papers, 519 citations indexed

About

Allah Bux Sargano is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Allah Bux Sargano has authored 29 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 4 papers in Computational Mechanics. Recurrent topics in Allah Bux Sargano's work include Human Pose and Action Recognition (8 papers), Anomaly Detection Techniques and Applications (8 papers) and Advanced Vision and Imaging (5 papers). Allah Bux Sargano is often cited by papers focused on Human Pose and Action Recognition (8 papers), Anomaly Detection Techniques and Applications (8 papers) and Advanced Vision and Imaging (5 papers). Allah Bux Sargano collaborates with scholars based in Pakistan, United Kingdom and China. Allah Bux Sargano's co-authors include Zulfiqar Habib, Plamen Angelov, Xiaofeng Wang, Liang Xiao, Jingxiang Yang, Muhammad Sarfraz, Rehan Raza, Qichao Liu, Fatima Zulfiqar and Usama Ijaz Bajwa and has published in prestigious journals such as International Journal of Remote Sensing, Remote Sensing and Applied Soft Computing.

In The Last Decade

Allah Bux Sargano

25 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allah Bux Sargano Pakistan 12 332 255 70 61 39 29 519
Zilin Gao China 5 407 1.2× 195 0.8× 36 0.5× 92 1.5× 19 0.5× 7 542
Feifei Lee Japan 15 399 1.2× 174 0.7× 21 0.3× 72 1.2× 7 0.2× 70 619
Boubakeur Boufama Canada 13 476 1.4× 103 0.4× 60 0.9× 77 1.3× 10 0.3× 59 603
Jiebo Song China 3 343 1.0× 337 1.3× 20 0.3× 46 0.8× 8 0.2× 3 594
Federico Raue Germany 7 399 1.2× 177 0.7× 20 0.3× 52 0.9× 12 0.3× 18 633
Haoji Hu China 12 311 0.9× 132 0.5× 44 0.6× 42 0.7× 4 0.1× 55 544
Wankou Yang China 13 382 1.2× 231 0.9× 17 0.2× 78 1.3× 11 0.3× 32 522
Soumendu Chakraborty India 11 413 1.2× 93 0.4× 16 0.2× 102 1.7× 24 0.6× 20 555
Ouiem Bchir Saudi Arabia 11 125 0.4× 76 0.3× 62 0.9× 88 1.4× 39 1.0× 63 373
Zhiqiang He China 8 160 0.5× 168 0.7× 29 0.4× 47 0.8× 11 0.3× 25 425

Countries citing papers authored by Allah Bux Sargano

Since Specialization
Citations

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

Fields of papers citing papers by Allah Bux Sargano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allah Bux Sargano. 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 Allah Bux Sargano. The network helps show where Allah Bux Sargano may publish in the future.

Co-authorship network of co-authors of Allah Bux Sargano

This figure shows the co-authorship network connecting the top 25 collaborators of Allah Bux Sargano. A scholar is included among the top collaborators of Allah Bux Sargano 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 Allah Bux Sargano. Allah Bux Sargano 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.
Sargano, Allah Bux, et al.. (2025). Attention-Based Inception-Residual CNN: Skin Cancer Diagnosis with Attention-Based Inception-Residual CNN Model. Information. 16(2). 120–120. 1 indexed citations
2.
Sargano, Allah Bux, et al.. (2024). 3D estimation of single-view 2d images using shape priors and transfer learning. Multimedia Tools and Applications. 83(23). 62637–62649. 1 indexed citations
3.
Sargano, Allah Bux, et al.. (2024). AnomalyNet: a spatiotemporal motion-aware CNN approach for detecting anomalies in real-world autonomous surveillance. The Visual Computer. 40(11). 7823–7844. 5 indexed citations
4.
5.
Raza, Rehan, et al.. (2024). Magnification Independent Breast Cancer Analysis Using Vision Transformer. Multimedia Tools and Applications. 84(5). 2029–2057. 5 indexed citations
6.
Sargano, Allah Bux, et al.. (2024). Evaluation of Head Pose Estimation Algorithms for Sign Language Analysis. Jyväskylä University Digital Archive (University of Jyväskylä). 1–6.
7.
Sargano, Allah Bux, et al.. (2023). Comparing Different Oversampling Methods in Predicting Multi-Class Educational Datasets Using Machine Learning Techniques. Cybernetics and Information Technologies. 23(4). 199–212. 6 indexed citations
8.
Xiao, Liang, et al.. (2023). A dual attention driven multiscale-multilevel feature fusion approach for hyperspectral image classification. International Journal of Remote Sensing. 44(4). 1151–1178. 12 indexed citations
9.
Liu, Qichao, et al.. (2023). Swin transformer with multiscale 3D atrous convolution for hyperspectral image classification. Engineering Applications of Artificial Intelligence. 126. 107070–107070. 21 indexed citations
10.
Sargano, Allah Bux, et al.. (2023). Robust learning for real-world anomalies in surveillance videos. Multimedia Tools and Applications. 82(13). 20303–20322. 6 indexed citations
11.
Sargano, Allah Bux, et al.. (2023). Attention-based multimodal sentiment analysis and emotion recognition using deep neural networks. Applied Soft Computing. 144. 110494–110494. 28 indexed citations
12.
Sargano, Allah Bux, et al.. (2021). Voxel-Based 3D Object Reconstruction from Single 2D Image Using Variational Autoencoders. Mathematics. 9(18). 2288–2288. 22 indexed citations
13.
Sargano, Allah Bux, et al.. (2021). DSTnet: Deformable Spatio-Temporal Convolutional Residual Network for Video Super-Resolution. Mathematics. 9(22). 2873–2873. 1 indexed citations
14.
Xiao, Liang, et al.. (2021). Hyperspectral Image Classification via a Novel Spectral–Spatial 3D ConvLSTM-CNN. Remote Sensing. 13(21). 4348–4348. 29 indexed citations
15.
Sargano, Allah Bux, et al.. (2020). Fast Learning Through Deep Multi-Net CNN Model For Violence Recognition In Video Surveillance. The Computer Journal. 65(3). 457–472. 25 indexed citations
16.
You, Lihua, Xiaosong Yang, Junjun Pan, et al.. (2020). Fast character modeling with sketch-based PDE surfaces. Multimedia Tools and Applications. 79(31-32). 23161–23187. 4 indexed citations
17.
Sarfraz, Muhammad, et al.. (2019). An intelligent system for paper currency verification using support vector machines. Scientia Iranica. 26(Special Issue). 59–71. 3 indexed citations
18.
Sargano, Allah Bux, Xiaofeng Wang, Plamen Angelov, & Zulfiqar Habib. (2017). Human action recognition using transfer learning with deep representations. Lancaster EPrints (Lancaster University). 463–469. 114 indexed citations
19.
Rahman, Ubaid ur, Allah Bux Sargano, & Usama Ijaz Bajwa. (2017). Android-Based Verification System for Banknotes. Journal of Imaging. 3(4). 54–54. 8 indexed citations
20.
Sargano, Allah Bux, Plamen Angelov, & Zulfiqar Habib. (2016). Human Action Recognition from Multiple Views Based on View-Invariant Feature Descriptor Using Support Vector Machines. Applied Sciences. 6(10). 309–309. 24 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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