Amjad Khan

443 total citations
20 papers, 308 citations indexed

About

Amjad Khan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Amjad Khan has authored 20 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Aerospace Engineering. Recurrent topics in Amjad Khan's work include AI in cancer detection (6 papers), Robotics and Sensor-Based Localization (5 papers) and Colorectal Cancer Screening and Detection (4 papers). Amjad Khan is often cited by papers focused on AI in cancer detection (6 papers), Robotics and Sensor-Based Localization (5 papers) and Colorectal Cancer Screening and Detection (4 papers). Amjad Khan collaborates with scholars based in Malaysia, Switzerland and Pakistan. Amjad Khan's co-authors include Syed Saad Azhar Ali, Fabrice Mériaudeau, Aamir Saeed Malik, Vincent Andrearczyk, Sebastian Otálora, Henning Müller, Manfredo Atzori, Syed Hasan Adil, Heather Dawson and Annika Blank and has published in prestigious journals such as IEEE Access, Modern Pathology and Frontiers in Bioengineering and Biotechnology.

In The Last Decade

Amjad Khan

18 papers receiving 296 citations

Peers

Amjad Khan

CVPR

RNMI

Shubham Innani United States

Hasan Al-Marzouqi United Arab Emirates

Miguel A. Molina‐Cabello Spain

Seonguk Seo South Korea

Nasim Souly United States

Zhengda Lu China

Linfeng Jiang China

Pedro Ribeiro Mendes Júnior Brazil

Yu Peng China

Jonghee Kim South Korea

Shubham Innani United States

Amjad Khan

132 ×0.9

CVPR

72 ×0.7

55 ×0.8

RNMI

26 ×0.5

34 ×1.1

Citations per year, relative to Amjad Khan Amjad Khan (= 1×) peers Shubham Innani

Countries citing papers authored by Amjad Khan

Since Specialization

Citations

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

Fields of papers citing papers by Amjad Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amjad Khan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Khan, Amjad, et al.. (2025). Aligning computational pathology with clinical practice for colorectal cancer. npj Precision Oncology. 9(1). 381–381.

Brouwer, Nelleke P.M., Amjad Khan, John‐Melle Bokhorst, et al.. (2023). The Complexity of Shapes: How the Circularity of Tumor Nodules Affects Prognosis in Colorectal Cancer. Modern Pathology. 37(1). 100376–100376. 3 indexed citations

Khan, Amjad, Nelleke P.M. Brouwer, Annika Blank, et al.. (2023). Computer-Assisted Diagnosis of Lymph Node Metastases in Colorectal Cancers Using Transfer Learning With an Ensemble Model. Modern Pathology. 36(5). 100118–100118. 27 indexed citations

Khan, Amjad, Andrew Janowczyk, F. Müller, et al.. (2022). Impact of scanner variability on lymph node segmentation in computational pathology. Journal of Pathology Informatics. 13. 100127–100127. 12 indexed citations

Khan, Amjad, et al.. (2022). Detection of lung cancer metastases in lymph nodes using a multiple instance learning approach. 50–50. 1 indexed citations

Khan, Amjad, et al.. (2021). A New Technique for Reducing the Segmentation Error of Left Ventricle Contours using Magnetic Resonance Images. Unimas Institutional Repository (Universiti Malaysia Sarawak). 19. 269–274.

Khan, Amjad, Manfredo Atzori, Sebastian Otálora, Vincent Andrearczyk, & Henning Müller. (2020). Generalizing convolution neural networks on stain color heterogeneous data for computational pathology. ArODES (HES-SO (https://www.hes-so.ch/)). 26–26. 9 indexed citations

Otálora, Sebastian, Manfredo Atzori, Amjad Khan, et al.. (2020). A systematic comparison of deep learning strategies for weakly supervised Gleason grading. ArODES (HES-SO (https://www.hes-so.ch/)). 20–20. 13 indexed citations

Otálora, Sebastian, Manfredo Atzori, Vincent Andrearczyk, Amjad Khan, & Henning Müller. (2019). Staining Invariant Features for Improving Generalization of Deep Convolutional Neural Networks in Computational Pathology. Frontiers in Bioengineering and Biotechnology. 7. 198–198. 54 indexed citations

10.

Khan, Amjad, et al.. (2018). Subsea Pipeline Corrosion Estimation by Restoring and Enhancing Degraded Underwater Images. IEEE Access. 6. 40585–40601. 39 indexed citations

11.

Ali, Syed Saad Azhar, et al.. (2017). Smart Wearable EEG Sensor. Procedia Computer Science. 105. 138–143. 9 indexed citations

12.

Ali, Syed Saad Azhar, et al.. (2017). Underwater 3-D Scene Reconstruction Using Kinect v2 Based on Physical Models for Refraction and Time of Flight Correction. IEEE Access. 5. 15960–15970. 41 indexed citations

13.

Ali, Syed Saad Azhar, et al.. (2017). Underwater 3D scanning using Kinect v2 time of flight camera. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10338. 103380C–103380C. 3 indexed citations

14.

Khan, Amjad, et al.. (2017). Visual feedback–based heading control of autonomous underwater vehicle for pipeline corrosion inspection. International Journal of Advanced Robotic Systems. 14(3). 4038852121–4038852121. 32 indexed citations

15.

Khan, Amjad, et al.. (2016). Underwater image enhancement by wavelet based fusion. 83–88. 42 indexed citations

16.

Khan, Amjad, Fabrice Mériaudeau, Syed Saad Azhar Ali, & Aamir Saeed Malik. (2016). Underwater image enhancement and dehazing using wavelet based fusion for pipeline corrosion inspection. 9. 1–5. 2 indexed citations

17.

Ali, Syed Saad Azhar, et al.. (2016). Real-time underwater 3D scene reconstruction using commercial depth sensor. 2010. 67–70. 4 indexed citations

18.

Khan, Amjad, et al.. (2016). Control of autonomous underwater vehicle based on visual feedback for pipeline inspection. 1–5. 5 indexed citations

19.

Khan, Sajid Ullah, et al.. (2015). X-Ray Image Enhancement Using a Boundary Division Wiener Filter and Wavelet-Based Image Fusion Approach. Journal of Information Processing Systems. 11 indexed citations

20.

Khan, Amjad, et al.. (2014). Real-time automatic target detection and tracking using visual feedback. 1–5. 1 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.

Explore authors with similar magnitude of impact