Salman Khan

1.6k total citations · 1 hit paper
18 papers, 742 citations indexed

About

Salman Khan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Salman Khan has authored 18 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Health Information Management. Recurrent topics in Salman Khan's work include Advanced Neural Network Applications (3 papers), Artificial Intelligence in Healthcare (3 papers) and Advanced Image Fusion Techniques (2 papers). Salman Khan is often cited by papers focused on Advanced Neural Network Applications (3 papers), Artificial Intelligence in Healthcare (3 papers) and Advanced Image Fusion Techniques (2 papers). Salman Khan collaborates with scholars based in United States, United Arab Emirates and Saudi Arabia. Salman Khan's co-authors include Fahad Shahbaz Khan, Fahad Shamshad, Syed Waqas Zamir, Muhammad Haris Khan, Huazhu Fu, Munawar Hayat, Prasun Kumar Gupta, Salman A. AlQahtani, Chetan Bettegowda and Frank Loganzo and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Computer Vision and Medical Image Analysis.

In The Last Decade

Salman Khan

11 papers receiving 727 citations

Hit Papers

align trajectories

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.

Transformers in medical imaging: A survey

2023 600 citations Fahad Shamshad, Salman Khan et al. Medical Image Analysis profile →

Peers

Salman Khan

RNMI

AI

CVPR

BE

NEURO

Majid Harouni Iran

Marı́a J. Carreira Spain

Rui Yan China

Sen Yang China

Meng Lou China

Cesare Valenti Italy

Alireza Norouzi Malaysia

Junjun He China

Dimitris Samaras United States

Majid Harouni Iran

Salman Khan

211 ×0.7

RNMI

100 ×0.4

AI

174 ×0.7

CVPR

218 ×1.7

BE

115 ×1.1

NEURO

Citations per year, relative to Salman Khan Salman Khan (= 1×) peers Majid Harouni

Countries citing papers authored by Salman Khan

Since Specialization

Citations

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

Fields of papers citing papers by Salman Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salman Khan

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

All Works

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18 of 18 papers shown

1.

AlQahtani, Salman A., et al.. (2025). Deep-m6Am: a deep learning model for identifying N6, 2′-O-Dimethyladenosine (m6Am) sites using hybrid features. AIMS bioengineering. 12(1). 145–161. 4 indexed citations

2.

AlQahtani, Salman A., et al.. (2025). XGBoost-Liver: An Intelligent Integrated Features Approach for Classifying Liver Diseases Using Ensemble XGBoost Training Model. Computers, materials & continua/Computers, materials & continua (Print). 83(1). 1435–1450. 5 indexed citations

3.

Khan, Salman, et al.. (2025). Modeling and Forecasting Monthly Humidity in South Asia: A SARIMA Approach. Earth Systems and Environment. 10(1). 493–509.

4.

Almusallam, Naif & Salman Khan. (2025). Chronic liver disease classification using deep learning with SHAP-optimized hybrid features. iScience. 28(12). 113972–113972.

5.

Ullah, Syed Sajid, et al.. (2025). Attention-Augmented YOLOv8 with Ghost Convolution for Real-Time Vehicle Detection in Intelligent Transportation Systems. 7(1). 255–274.

6.

Sural, Sumit, et al.. (2025). Does injectable platelet-rich fibrin enhance healing in intracapsular femoral neck fractures?: A preliminary study. Annals of the National Academy of Medical Sciences (India). 62. 20–31.

7.

AlQahtani, Salman A., et al.. (2025). Chronic liver disease detection using ranking and projection-based feature optimization with deep learning. AIMS bioengineering. 12(1). 50–68. 8 indexed citations

8.

Feng, Chun-Mei, Yonghong He, Jian Zou, et al.. (2025). Diffusion-Enhanced Test-Time Adaptation with Text and Image Augmentation. International Journal of Computer Vision. 133(8). 5083–5098.

9.

Arora, Sumit, et al.. (2024). Shortening Dome Osteotomy for the Correction of Coronal Plane Elbow Deformities. JBJS Essential Surgical Techniques. 14(4).

10.

Lahoud, Jean, Fahad Shahbaz Khan, Hisham Cholakkal, Rao Muhammad Anwer, & Salman Khan. (2024). Long-Tailed 3D Semantic Segmentation with Adaptive Weight Constraint and Sampling. 5037–5044.

11.

Naseer, Muzammal, et al.. (2024). Composed Video Retrieval via Enriched Context and Discriminative Embeddings. 26886–26896. 3 indexed citations

12.

Naseer, Muzammal, et al.. (2024). Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery. 27811–27819. 27 indexed citations

13.

Shamshad, Fahad, Salman Khan, Syed Waqas Zamir, et al.. (2023). Transformers in medical imaging: A survey. Medical Image Analysis. 88. 102802–102802. 600 indexed citations breakdown →

14.

Khan, Muhammad Haris, Syed Zaidi, Salman Khan, & Fahad Shahbaz Khan. (2021). Mode-Guided Feature Augmentation for Domain Generalization. 1 indexed citations

15.

Khan, Salman. (2019). A Mechanism for Offline Character Recognition. International Journal for Research in Applied Science and Engineering Technology. 7(4). 1086–1090. 1 indexed citations

16.

Khan, Salman & Prasun Kumar Gupta. (2018). COMPARITIVE STUDY OF TREE COUNTING ALGORITHMS IN DENSE AND SPARSE VEGETATIVE REGIONS. SHILAP Revista de lepidopterología. XLII-5. 801–808. 12 indexed citations

17.

Khan, Salman, et al.. (2015). Autism Tutor An E-Parenting Tool. International Journal of Computer Applications. 115(21). 13–19. 1 indexed citations

18.

Dang, Long H., Chetan Bettegowda, Nishant Agrawal, et al.. (2004). Targeting Vascular and Avascular Compartments of Tumors withC. novyi-NTand Anti-microtubule Agents. Cancer Biology & Therapy. 3(3). 326–337. 80 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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