Rahim Khan

561 total citations
19 papers, 365 citations indexed

About

Rahim Khan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rahim Khan has authored 19 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rahim Khan's work include Brain Tumor Detection and Classification (3 papers), AI in cancer detection (3 papers) and Wireless Signal Modulation Classification (3 papers). Rahim Khan is often cited by papers focused on Brain Tumor Detection and Classification (3 papers), AI in cancer detection (3 papers) and Wireless Signal Modulation Classification (3 papers). Rahim Khan collaborates with scholars based in China, Pakistan and Saudi Arabia. Rahim Khan's co-authors include Ahsan Bin Tufail, Inam Ullah, Yongkui Ma, Alam Noor, Longwen Wu, Mohammed K. A. Kaabar, Yaqin Zhao, Francisco Martínez, Anis Koubâa and Ateeq Ur Rehman and has published in prestigious journals such as Scientific Reports, Food Chemistry and Sustainability.

In The Last Decade

Rahim Khan

14 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rahim Khan China	9	124	112	74	66	41	19	365
Yunendah Nur Fuadah Indonesia	10	91 0.7×	66 0.6×	47 0.6×	74 1.1×	18 0.4×	36	359
Jahanzaib Latif China	8	106 0.9×	185 1.7×	49 0.7×	93 1.4×	54 1.3×	9	338
Erdal Özbay Türkiye	12	132 1.1×	72 0.6×	58 0.8×	120 1.8×	29 0.7×	39	344
Hossam El-Din Moustafa Egypt	12	220 1.8×	159 1.4×	223 3.0×	110 1.7×	110 2.7×	56	536
Amena Mahmoud Egypt	11	151 1.2×	77 0.7×	53 0.7×	76 1.2×	25 0.6×	27	340
Sarah Mazhar China	9	97 0.8×	220 2.0×	66 0.9×	120 1.8×	96 2.3×	15	397
Grace Ugochi Nneji China	14	236 1.9×	263 2.3×	42 0.6×	118 1.8×	50 1.2×	45	477
D. Narain Ponraj India	10	137 1.1×	106 0.9×	41 0.6×	83 1.3×	11 0.3×	28	281
Hasib Iqbal Bangladesh	6	302 2.4×	148 1.3×	49 0.7×	67 1.0×	146 3.6×	6	475
Karim Gasmi Saudi Arabia	11	119 1.0×	72 0.6×	57 0.8×	92 1.4×	19 0.5×	34	345

Countries citing papers authored by Rahim Khan

Since Specialization

Citations

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

Fields of papers citing papers by Rahim Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahim Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Rahim Khan. A scholar is included among the top collaborators of Rahim 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 Rahim Khan. Rahim 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:

19 of 19 papers shown

Khan, Rahim, et al.. (2026). Carboxymethyl cellulose/sodium alginate composite films encapsulated with turmeric essential oil-in-water nanoemulsion and gallic acid for grapes preservation. Food Chemistry. 504. 147954–147954.

Khan, Rahim, et al.. (2025). Pyramidal attention with progressive multi-stage iterative feature refinement for salient object segmentation. Image and Vision Computing. 162. 105670–105670. 1 indexed citations

Khan, Rahim, et al.. (2025). High-precision brain tumor classification from MRI images using an advanced hybrid deep learning method with minimal radiation exposure. Journal of Radiation Research and Applied Sciences. 18(4). 101858–101858.

Khan, Rahim, et al.. (2025). Bilateral collaborative streams with multi-modal attention network for accurate polyp segmentation. Scientific Reports. 15(1). 34182–34182.

Khan, Rahim, et al.. (2025). Optimizing adaptive modulation technique using standard propagation model for enhanced wireless communication channels. Scientific Reports. 15(1). 30796–30796.

Ma, Xuefei, et al.. (2025). Research on pedestrian and vehicle detection method based on improved YOLOv8 model. Signal Image and Video Processing. 19(14).

Khan, Rahim, et al.. (2024). Deep Spectral Spatial Feature Enhancement Through Transformer for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 2 indexed citations

Tufail, Ahsan Bin, Inam Ullah, Ateeq Ur Rehman, et al.. (2022). On Disharmony in Batch Normalization and Dropout Methods for Early Categorization of Alzheimer’s Disease. Sustainability. 14(22). 14695–14695. 21 indexed citations

Khan, Rahim, Qiang Yang, Ahsan Bin Tufail, Alam Noor, & Yongkui Ma. (2021). Classification of Digital Modulated COVID‐19 Images in the Presence of Channel Noise Using 2D Convolutional Neural Networks. Wireless Communications and Mobile Computing. 2021(1). 5 indexed citations

10.

Tufail, Ahsan Bin, Yongkui Ma, Mohammed K. A. Kaabar, et al.. (2021). Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions. Computational and Mathematical Methods in Medicine. 2021. 1–28. 95 indexed citations

11.

Khan, Rahim, Qiang Yang, Inam Ullah, et al.. (2021). 3D convolutional neural networks based automatic modulation classification in the presence of channel noise. IET Communications. 16(5). 497–509. 37 indexed citations

12.

Ali, Luqman, Cong Wang, Inam Ullah, et al.. (2021). Design and Optimization of Microwave Sensor for the Non-Contact Measurement of Pure Dielectric Materials. Electronics. 10(24). 3057–3057. 12 indexed citations

13.

Tufail, Ahsan Bin, Yongkui Ma, Mohammed K. A. Kaabar, et al.. (2021). Classification of Initial Stages of Alzheimer’s Disease through Pet Neuroimaging Modality and Deep Learning: Quantifying the Impact of Image Filtering Approaches. Mathematics. 9(23). 3101–3101. 16 indexed citations

14.

Tufail, Ahsan Bin, Inam Ullah, Wali Ullah Khan, et al.. (2021). Diagnosis of Diabetic Retinopathy through Retinal Fundus Images and 3D Convolutional Neural Networks with Limited Number of Samples. Wireless Communications and Mobile Computing. 2021(1). 44 indexed citations

15.

Tufail, Ahsan Bin, Yongkui Ma, Adil Khan, et al.. (2021). 3D convolutional neural networks-based multiclass classification of Alzheimer’s and Parkinson’s diseases using PET and SPECT neuroimaging modalities. Brain Informatics. 8(1). 23–23. 35 indexed citations

16.

Khan, Rahim, Qiang Yang, Alam Noor, et al.. (2021). An efficient adaptive modulation technique over realistic wireless communication channels based on distance and SINR. Frequenz. 76(1-2). 83–95. 2 indexed citations

17.

Noor, Alam, et al.. (2020). Automated sheep facial expression classification using deep transfer learning. Computers and Electronics in Agriculture. 175. 105528–105528. 67 indexed citations

18.

Khan, Rahim, Qiang Yang, Ahsan Bin Tufail, Yongkui Ma, & Alam Noor. (2020). Binary Classification of Modulation Formats in the Presence of Noise through Convolutional Neural Networks. 386–390. 3 indexed citations

19.

Noor, Alam, et al.. (2020). Median filters combined with denoising convolutional neural network for Gaussian and impulse noises. Multimedia Tools and Applications. 79(25-26). 18553–18568. 25 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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