Khan Bahadar Khan

1.3k total citations · 1 hit paper
33 papers, 766 citations indexed

About

Khan Bahadar Khan is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Khan Bahadar Khan has authored 33 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Khan Bahadar Khan's work include Retinal Imaging and Analysis (7 papers), Advanced Image Fusion Techniques (6 papers) and Glaucoma and retinal disorders (6 papers). Khan Bahadar Khan is often cited by papers focused on Retinal Imaging and Analysis (7 papers), Advanced Image Fusion Techniques (6 papers) and Glaucoma and retinal disorders (6 papers). Khan Bahadar Khan collaborates with scholars based in Pakistan, Italy and Malaysia. Khan Bahadar Khan's co-authors include Muhammad Shafiq Shahid, Muhammad Adeel Azam, Amir A. Khaliq, Eid Rehman, Amir H. Gandomi, Seifedine Kadry, Sajid Ali Khan, Muhammad Attique Khan, Muhammad Ahmad and Manuel Mazzara and has published in prestigious journals such as PLoS ONE, IEEE Access and BioMed Research International.

In The Last Decade

Khan Bahadar Khan

31 papers receiving 723 citations

Hit Papers

A review on multimodal medical image fusion: Compendious ... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khan Bahadar Khan Pakistan 14 342 288 161 128 113 33 766
Guanghui Yue China 19 241 0.7× 517 1.8× 61 0.4× 190 1.5× 269 2.4× 87 1.0k
Xiaosheng Yu China 13 204 0.6× 376 1.3× 86 0.5× 43 0.3× 153 1.4× 99 653
Meenakshi Sood India 13 219 0.6× 220 0.8× 121 0.8× 30 0.2× 82 0.7× 65 572
Priyanka Kokil India 16 233 0.7× 206 0.7× 82 0.5× 60 0.5× 131 1.2× 91 931
Javad Rahebi Türkiye 16 188 0.5× 186 0.6× 110 0.7× 31 0.2× 197 1.7× 75 759
Leandro A. Passos Brazil 15 142 0.4× 229 0.8× 54 0.3× 42 0.3× 211 1.9× 48 666
Jingye Cai China 18 186 0.5× 179 0.6× 37 0.2× 67 0.5× 183 1.6× 76 776
Lai Jiang China 16 432 1.3× 669 2.3× 259 1.6× 86 0.7× 186 1.6× 57 1.1k
Philipp Seeböck Austria 9 460 1.3× 274 1.0× 217 1.3× 57 0.4× 661 5.8× 19 1.2k

Countries citing papers authored by Khan Bahadar Khan

Since Specialization
Citations

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

Fields of papers citing papers by Khan Bahadar Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khan Bahadar Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Khan Bahadar Khan. A scholar is included among the top collaborators of Khan Bahadar Khan 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 Khan Bahadar Khan. Khan Bahadar Khan 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.
Ali, Sajid, et al.. (2025). Advanced EEG-based brain monitoring for early detection of harmful neural activities using EfficientNet architecture. Biomedical Signal Processing and Control. 112. 108360–108360.
2.
Sohaib, Ahmed, et al.. (2025). Spectral band selection for nondestructive detection of edible oil adulteration using hyperspectral imaging and chemometric analysis. Journal of Food Measurement & Characterization. 20(2). 1482–1503. 1 indexed citations
3.
Khan, Khan Bahadar, et al.. (2024). Dual-band independently tunable 8-element MIMO antenna for 5G smartphones. Heliyon. 10(4). e25712–e25712. 6 indexed citations
4.
Shah, Syed Ahson Ali, et al.. (2024). Self-Decoupled 8-Element Dual Polarized MIMO Antenna for B5G Handsets With Sub-6 GHz and mmWave Integration. IEEE Access. 12. 167324–167332. 4 indexed citations
5.
Khan, Khan Bahadar, et al.. (2024). Investigating the impact of novel XRayGAN in feature extraction for thoracic disease detection in chest radiographs: lung cancer. Signal Image and Video Processing. 18(5). 3957–3972. 2 indexed citations
6.
Khan, Khan Bahadar, et al.. (2023). From 5G to beyond 5G: A Comprehensive Survey of Wireless Network Evolution, Challenges, and Promising Technologies. Electronics. 12(10). 2200–2200. 46 indexed citations
7.
Khan, Khan Bahadar, et al.. (2023). A compact CNN model for automated detection of COVID-19 using thorax x-ray images. Journal of Intelligent & Fuzzy Systems. 44(5). 7887–7907. 5 indexed citations
8.
Azam, Muhammad Adeel, Khan Bahadar Khan, Eid Rehman, et al.. (2022). A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics. Computers in Biology and Medicine. 144. 105253–105253. 230 indexed citations breakdown →
10.
Khan, Khan Bahadar, et al.. (2020). A Hybrid Unsupervised Approach for Retinal Vessel Segmentation. BioMed Research International. 2020(1). 8365783–8365783. 28 indexed citations
11.
Khan, Khan Bahadar, et al.. (2020). Retinal disorder as a biomarker for detection of human diseases. 1–6. 7 indexed citations
13.
Rehman, Eid, et al.. (2019). Secure Cluster-Head Selection Algorithm Using Pattern for Wireless Mobile Sensor Networks. Tehnicki vjesnik - Technical Gazette. 26(2). 1 indexed citations
14.
Amir, Muhammad, et al.. (2019). Application of Compressive Sensing to Ultrasound Images: A Review. BioMed Research International. 2019. 1–14. 9 indexed citations
15.
Khan, Khan Bahadar, et al.. (2017). A Novel Fast GLM Approach for Retinal Vascular Segmentation and Denoising.. Journal of information science and engineering. 33(6). 1611–1627. 18 indexed citations
16.
Rehman, Eid, et al.. (2017). Energy Efficient Secure Trust Based Clustering Algorithm for Mobile Wireless Sensor Network. Journal of Computer Networks and Communications. 2017. 1–8. 46 indexed citations
17.
Khan, Khan Bahadar, et al.. (2016). Poisson noise reduction in scintigraphic images using Gradient Adaptive Trimmed Mean filter. 301–305. 10 indexed citations
18.
Khan, Khan Bahadar, et al.. (2016). A new approach of weighted gradient filter for denoising of medical images in the presence of Poisson noise. Tehnicki vjesnik - Technical Gazette. 23(6). 9 indexed citations
19.
Khan, Khan Bahadar, Amir A. Khaliq, & Muhammad Shafiq Shahid. (2016). A Morphological Hessian Based Approach for Retinal Blood Vessels Segmentation and Denoising Using Region Based Otsu Thresholding. PLoS ONE. 11(7). e0158996–e0158996. 90 indexed citations
20.
Khan, Khan Bahadar, et al.. (2016). B-COSFIRE filter and VLM based retinal blood vessels segmentation and denoising. 132–137. 17 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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