Muhammad Shehzad Hanif

811 total citations
30 papers, 502 citations indexed

About

Muhammad Shehzad Hanif is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Muhammad Shehzad Hanif has authored 30 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Muhammad Shehzad Hanif's work include Video Surveillance and Tracking Methods (8 papers), Advanced Neural Network Applications (7 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Muhammad Shehzad Hanif is often cited by papers focused on Video Surveillance and Tracking Methods (8 papers), Advanced Neural Network Applications (7 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Muhammad Shehzad Hanif collaborates with scholars based in Saudi Arabia, Pakistan and France. Muhammad Shehzad Hanif's co-authors include Lionel Prévost, Muhammad Bilal, Pablo Negri, Syed Farooq Ali, Xavier Clady, Muhammad Bilal, Muhammad Yaqoob, Ubaid M. Al‐Saggaf, Khurram Khurshid and Muhammad Jaleed Khan and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Muhammad Shehzad Hanif

27 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Shehzad Hanif Saudi Arabia 12 341 104 99 68 47 30 502
Soo Siang Teoh Malaysia 12 261 0.8× 109 1.0× 37 0.4× 41 0.6× 95 2.0× 24 447
K. Suganya Devi India 13 165 0.5× 42 0.4× 41 0.4× 57 0.8× 22 0.5× 53 489
Edgar A. Bernal United States 10 193 0.6× 16 0.2× 83 0.8× 32 0.5× 46 1.0× 35 355
Khaled Bayoudh Tunisia 5 173 0.5× 59 0.6× 45 0.5× 135 2.0× 20 0.4× 6 408
Tao Sheng China 3 524 1.5× 50 0.5× 88 0.9× 131 1.9× 25 0.5× 4 655
Tomasz Marciniak Poland 10 181 0.5× 62 0.6× 17 0.2× 98 1.4× 39 0.8× 84 389
Abdelmalik Ouamane Algeria 16 385 1.1× 28 0.3× 26 0.3× 64 0.9× 13 0.3× 51 656
Xiaokang Jin China 7 371 1.1× 16 0.2× 176 1.8× 53 0.8× 30 0.6× 9 499
Moran Ju China 9 208 0.6× 29 0.3× 66 0.7× 59 0.9× 19 0.4× 31 429
Yanting Liu China 9 280 0.8× 15 0.1× 113 1.1× 84 1.2× 27 0.6× 34 491

Countries citing papers authored by Muhammad Shehzad Hanif

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Shehzad Hanif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Shehzad Hanif

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Shehzad Hanif. A scholar is included among the top collaborators of Muhammad Shehzad Hanif 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 Shehzad Hanif. Muhammad Shehzad Hanif 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.
Bilal, Muhammad & Muhammad Shehzad Hanif. (2025). Fast Anomaly Detection for Vision-Based Industrial Inspection Using Cascades of Null Subspace PCA Detectors. Sensors. 25(15). 4853–4853.
2.
Ali, Syed Farooq, et al.. (2024). Exploiting the features of deep residual network with SVM classifier for human posture recognition. PLoS ONE. 19(12). e0314959–e0314959. 1 indexed citations
3.
Irfan, Muhammad, et al.. (2024). PowerX: A Probabilistic Graph Model for Complex Smart Grid Networks. IEEE Access. 12. 48725–48736. 1 indexed citations
4.
Bilal, Muhammad, et al.. (2024). Using multi-label ensemble CNN classifiers to mitigate labelling inconsistencies in patch-level Gleason grading. PLoS ONE. 19(7). e0304847–e0304847. 3 indexed citations
5.
6.
Bilal, Muhammad, et al.. (2024). Efficient Framework for Real-Time Color Cast Correction and Dehazing Using Online Algorithms to Approximate Image Statistics. IEEE Access. 12. 72813–72827. 1 indexed citations
7.
Mehedi, Ibrahim M., et al.. (2024). Remote Sensing and Decision Support System Applications in Precision Agriculture: Challenges and Possibilities. IEEE Access. 12. 44786–44798. 23 indexed citations
8.
Raza, Rehan, et al.. (2024). GAIR-U-Net: 3D guided attention inception residual u-net for brain tumor segmentation using multimodal MRI images. Journal of King Saud University - Computer and Information Sciences. 36(6). 102086–102086. 10 indexed citations
9.
Hanif, Muhammad Shehzad, Muhammad Bilal, Abdullah Balamash, & Ubaid M. Al‐Saggaf. (2023). Hypotheses Generation and Verification Based Framework for Crowd Anomaly Detection in Single-Scene Surveillance Videos. Traitement du signal. 40(1). 115–122. 1 indexed citations
10.
Ali, Syed Farooq, et al.. (2022). Multi-Stream Deep Neural Network for Diabetic Retinopathy Severity Classification Under a Boosting Framework. IEEE Access. 10. 113172–113183. 47 indexed citations
11.
Aldhaheri, Rabah W., et al.. (2021). Vehicle Speed Estimation Using Gaussian Mixture Model and Kalman Filter. International Journal of Computers Communications & Control. 16(4). 1 indexed citations
12.
Yaqoob, Muhammad, Syed Farooq Ali, Muhammad Bilal, Muhammad Shehzad Hanif, & Ubaid M. Al‐Saggaf. (2021). ResNet Based Deep Features and Random Forest Classifier for Diabetic Retinopathy Detection. Sensors. 21(11). 3883–3883. 63 indexed citations
13.
Bilal, Muhammad & Muhammad Shehzad Hanif. (2019). Benchmark Revision for HOG-SVM Pedestrian Detector Through Reinvigorated Training and Evaluation Methodologies. IEEE Transactions on Intelligent Transportation Systems. 21(3). 1277–1287. 26 indexed citations
14.
Yousaf, Adeel, et al.. (2019). Robust and computationally efficient online image stabilisation framework based on adaptive dual motion vector integration. IET Computer Vision. 13(5). 461–468. 1 indexed citations
15.
Hanif, Muhammad Shehzad & Muhammad Bilal. (2019). Competitive residual neural network for image classification. ICT Express. 6(1). 28–37. 35 indexed citations
16.
Bilal, Muhammad & Muhammad Shehzad Hanif. (2018). High Performance Real-Time Pedestrian Detection Using Light Weight Features and Fast Cascaded Kernel SVM Classification. Journal of Signal Processing Systems. 91(2). 117–129. 11 indexed citations
17.
Hanif, Muhammad Shehzad, et al.. (2017). On the improvement of foreground–background model‐based object tracker. IET Computer Vision. 11(6). 488–496. 12 indexed citations
18.
Yousaf, Adeel, Khurram Khurshid, Muhammad Jaleed Khan, & Muhammad Shehzad Hanif. (2017). Real time video stabilization methods in IR domain for UAVs — A review. 1–9. 4 indexed citations
19.
Hanif, Muhammad Shehzad, Lionel Prévost, & Pablo Negri. (2008). A cascade detector for text detection in natural scene images. Proceedings - International Conference on Pattern Recognition. 1–4. 26 indexed citations
20.
Hanif, Muhammad Shehzad, Lionel Prévost, Rachid Belaroussi, & Maurice Milgram. (2007). Real-time facial feature localization by combining space displacement neural networks. Pattern Recognition Letters. 29(8). 1094–1104. 6 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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