Kashif Shaheed

1.3k total citations · 1 hit paper
26 papers, 832 citations indexed

About

Kashif Shaheed is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kashif Shaheed has authored 26 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 9 papers in Signal Processing and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kashif Shaheed's work include Biometric Identification and Security (9 papers), Retinal Imaging and Analysis (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Kashif Shaheed is often cited by papers focused on Biometric Identification and Security (9 papers), Retinal Imaging and Analysis (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Kashif Shaheed collaborates with scholars based in China, Pakistan and Poland. Kashif Shaheed's co-authors include Imran Qureshi, Qaisar Abbas, Aihua Mao, Munish Kumar, Xingming Zhang, Inam Ullah, Sumaira Hussain, Piotr Szczuko, Yilong Yin and Gongping Yang and has published in prestigious journals such as Expert Systems with Applications, Sensors and Information Sciences.

In The Last Decade

Kashif Shaheed

25 papers receiving 801 citations

Hit Papers

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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.

Medical image segmentation using deep semantic-based methods: A review of techniques, applications and emerging trends

2022 171 citations Imran Qureshi, Junhua Yan et al. Information Fusion profile →

Peers

Countries citing papers authored by Kashif Shaheed

Since Specialization

Citations

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

Fields of papers citing papers by Kashif Shaheed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kashif Shaheed

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Finger Vein Presentation Attack Detection Method Using a Hybridized Gray-Level Co-Occurrence Matrix Feature with Light-Gradient Boosting Machine Model 2024 ·Journal of the Association for Information Systems ·Kashif Shaheed, Piotr Szczuko, Inam Ullah, Hammed A. Mojeed, Abdullateef Oluwagbemiga Balogun, Luiz Fernando Capretz	1
2	Computer-Aided Diagnosis of COVID-19 from Chest X-ray Images Using Hybrid-Features and Random Forest Classifier 2023 ·Healthcare ·Kashif Shaheed, Piotr Szczuko, Qaisar Abbas, Ayyaz Hussain, (unknown)	20
3	Optimized Xception Learning Model and XgBoost Classifier for Detection of Multiclass Chest Disease from X-ray Images 2023 ·Diagnostics ·Kashif Shaheed, Qaisar Abbas, Ayyaz Hussain, Imran Qureshi	10
4	Mobile-HR: An Ophthalmologic-Based Classification System for Diagnosis of Hypertensive Retinopathy Using Optimized MobileNet Architecture 2023 ·Diagnostics ·(unknown), Imran Qureshi, Qaisar Abbas, (unknown), Kashif Shaheed, Ayman Youssef, (unknown), Ayyaz Hussain	14
5	Difficulty-aware prior-guided hierarchical network for adaptive segmentation of breast tumors 2023 ·Science China Information Sciences ·Sumaira Hussain, Xiaoming Xi, Inam Ullah, (unknown), Kashif Shaheed, (unknown), Yilong Yin	3
6	Feature-enhanced fusion of U-NET-based improved brain tumor images segmentation 2023 ·Journal of Cloud Computing Advances Systems and Applications ·(unknown), Zhigang Chen, (unknown), Kashif Shaheed	8
7	EfficientRMT-Net—An Efficient ResNet-50 and Vision Transformers Approach for Classifying Potato Plant Leaf Diseases 2023 ·Sensors ·Kashif Shaheed, Imran Qureshi, Fakhar Abbas, Sohail Jabbar, Qaisar Abbas, (unknown), (unknown)	51
8	CMGNet: Context-aware middle-layer guidance network for salient object detection 2023 ·Journal of King Saud University - Computer and Information Sciences ·Inam Ullah, Sumaira Hussain, Kashif Shaheed, Wajid Ali, Shahid Ali Khan, Yilong Yin, (unknown)	3
9	A Discriminative Level Set Method with Deep Supervision for Breast Tumor Segmentation 2022 ·Computers in Biology and Medicine ·Sumaira Hussain, Xiaoming Xi, Inam Ullah, (unknown), (unknown), Kashif Shaheed, (unknown), (unknown)	23
10	Medical image segmentation using deep semantic-based methods: A review of techniques, applications and emerging trends breakdown → 2022 ·Information Fusion ·Imran Qureshi, Junhua Yan, Qaisar Abbas, Kashif Shaheed, (unknown), Abdul Wahid, (unknown), Piotr Szczuko	171
11	AWANet: Attentive-Aware Wide-Kernels Asymmetrical Network with Blended Contour Information for Salient Object Detection 2022 ·Sensors ·Inam Ullah, Muwei Jian, Kashif Shaheed, Sumaira Hussain, (unknown), (unknown), Khan Muhammad	5
12	A hybrid proposed image quality assessment and enhancement framework for finger vein recognition 2022 ·Multimedia Tools and Applications ·Kashif Shaheed, Imran Qureshi	10
13	Computer-Aided Detection of Hypertensive Retinopathy Using Depth-Wise Separable CNN 2022 ·Applied Sciences ·Imran Qureshi, Qaisar Abbas, (unknown), Ayyaz Hussain, Kashif Shaheed, Abdul Rauf Baig	10
14	Finger-vein presentation attack detection using depthwise separable convolution neural network 2022 ·Expert Systems with Applications ·Kashif Shaheed, Aihua Mao, Imran Qureshi, Qaisar Abbas, Munish Kumar, Xingming Zhang	28
15	A Systematic Review on Physiological-Based Biometric Recognition Systems: Current and Future Trends 2021 ·Archives of Computational Methods in Engineering ·Kashif Shaheed, Aihua Mao, Imran Qureshi, Munish Kumar, Qaisar Abbas, Inam Ullah, Xingming Zhang	52
16	Recent advancements in finger vein recognition technology: Methodology, challenges and opportunities 2021 ·Information Fusion ·Kashif Shaheed, Aihua Mao, Imran Qureshi, Munish Kumar, Sumaira Hussain, Xingming Zhang	59
17	Attention based consistent semantic learning for micro-video scene recognition 2020 ·Information Sciences ·Jie Guo, Xiushan Nie, (unknown), Kashif Shaheed, Inam Ullah, Yilong Yin	21
18	A Hybrid Proposed Fundus Image Enhancement Framework for Diabetic Retinopathy 2019 ·Algorithms ·Imran Qureshi, Jun Ma, Kashif Shaheed	43
19	A Systematic Review of Finger Vein Recognition Techniques 2018 ·Information ·Kashif Shaheed, (unknown), Gongping Yang, Imran Qureshi, Jie Gou, Yilong Yin	101
20	Novel Image Quality Assessment and Enhancement Techniques for Finger Vein Recognition 2018 ·Kashif Shaheed, Lu Yang, Gongping Yang, Imran Qureshi, Yilong Yin	5

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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