Salman Khan

2.0k total citations · 1 hit paper
56 papers, 1.1k citations indexed

About

Salman Khan is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Salman Khan has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Salman Khan's work include Machine Learning in Bioinformatics (21 papers), Genomics and Phylogenetic Studies (13 papers) and RNA and protein synthesis mechanisms (9 papers). Salman Khan is often cited by papers focused on Machine Learning in Bioinformatics (21 papers), Genomics and Phylogenetic Studies (13 papers) and RNA and protein synthesis mechanisms (9 papers). Salman Khan collaborates with scholars based in Pakistan, Saudi Arabia and United States. Salman Khan's co-authors include Shahid Akbar, Maqsood Hayat, Farman Ali, Nadeem Iqbal, Mukhtaj Khan, Ashfaq Ahmad, Fahad Shahbaz Khan, Muhammad Tahir, Muzammal Naseer and Sarah Gul and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Access.

In The Last Decade

Salman Khan

49 papers receiving 1.1k citations

Hit Papers

align trajectories sort by overperformance

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.

GeoChat:Grounded Large Vision-Language Model for Remote Sensing

2024 83 citations Muzammal Naseer, Salman Khan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Salman Khan Pakistan	21	566	217	167	128	91	56	1.1k
Ruiquan Ge China	12	163 0.3×	123 0.6×	90 0.5×	31 0.2×	38 0.4×	56	452
Suresh Dara India	9	277 0.5×	260 1.2×	81 0.5×	264 2.1×	8 0.1×	31	790
Carlos Andrés Peña-Reyes Switzerland	13	183 0.3×	543 2.5×	99 0.6×	65 0.5×	7 0.1×	35	857
Liang Lan China	15	235 0.4×	243 1.1×	152 0.9×	50 0.4×	5 0.1×	63	824
Jamal Uddin Pakistan	12	137 0.2×	71 0.3×	76 0.5×	45 0.4×	12 0.1×	22	515
Zaheer Ullah Khan China	16	460 0.8×	148 0.7×	37 0.2×	93 0.7×	33 0.4×	32	894
Mingjie Zhao China	10	209 0.4×	447 2.1×	320 1.9×	54 0.4×	4 0.0×	20	1.0k
Hong Qin United States	17	731 1.3×	140 0.6×	76 0.5×	15 0.1×	4 0.0×	83	1.2k
Majdi Khalid Saudi Arabia	14	78 0.1×	119 0.5×	68 0.4×	25 0.2×	8 0.1×	42	405

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

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

20 of 20 papers shown

Khan, Salman, et al.. (2025). Deep-ProBind: binding protein prediction with transformer-based deep learning model. BMC Bioinformatics. 26(1). 88–88. 2 indexed citations

Almusallam, Naif, et al.. (2025). A robust deep learning framework for RNA 5-methyluridine modification prediction using integrated features. BMC Biology. 23(1). 328–328. 1 indexed citations

Khan, Salman, et al.. (2025). N6-methyladenine identification using deep learning and discriminative feature integration. BMC Medical Genomics. 18(1). 58–58. 6 indexed citations

Khan, Salman, et al.. (2025). Optimizing performance of parallel computing platforms for large-scale genome data analysis. Computing. 107(3). 7 indexed citations

Fraccaro, Paolo, et al.. (2025). EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues. 14303–14313. 2 indexed citations

Khan, Salman, et al.. (2025). Fuzzy Logic Based Evaluation of Hybrid Termination Criteria in the Genetic Algorithms for the Wind Farm Layout Design Problem. Computers, materials & continua/Computers, materials & continua (Print). 84(1). 553–581.

Khan, Salman, et al.. (2025). XGBoost-enhanced ensemble model using discriminative hybrid features for the prediction of sumoylation sites. BioData Mining. 18(1). 12–12. 13 indexed citations

Shaker, Abdelrahman, Hisham Cholakkal, Rao Muhammad Anwer, et al.. (2024). XrayGPT: Chest Radiographs Summarization using Large Medical Vision-Language Models. 440–448. 41 indexed citations

Naseem, Afshan, et al.. (2024). Deep-m5U: a deep learning-based approach for RNA 5-methyluridine modification prediction using optimized feature integration. BMC Bioinformatics. 25(1). 360–360. 11 indexed citations

10.

Naseer, Muzammal, et al.. (2024). Language Guided Domain Generalized Medical Image Segmentation. 1–5. 2 indexed citations

11.

Huang, Lei, Xi Weng, Rao Muhammad Anwer, et al.. (2024). Understanding Whitening Loss in Self-Supervised Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 9479–9492. 1 indexed citations

12.

Khan, Salman, et al.. (2024). PSSM-Sumo: deep learning based intelligent model for prediction of sumoylation sites using discriminative features. BMC Bioinformatics. 25(1). 284–284. 24 indexed citations

13.

Khan, Salman, et al.. (2024). Sequence based model using deep neural network and hybrid features for identification of 5-hydroxymethylcytosine modification. Scientific Reports. 14(1). 9116–9116. 25 indexed citations

14.

Engelbrecht, Andries P., et al.. (2024). An Analysis of Differential Evolution Population Size. Applied Sciences. 14(21). 9976–9976. 3 indexed citations

15.

Khan, Salman, et al.. (2024). A hybrid residue based sequential encoding mechanism with XGBoost improved ensemble model for identifying 5-hydroxymethylcytosine modifications. Scientific Reports. 14(1). 20819–20819. 23 indexed citations

16.

Khan, Salman, Muhammad Abbas Khan, Mukhtaj Khan, et al.. (2023). Optimized Feature Learning for Anti-Inflammatory Peptide Prediction Using Parallel Distributed Computing. Applied Sciences. 13(12). 7059–7059. 23 indexed citations

17.

Khan, Mukhtaj, Nadeem Iqbal, Salman Khan, et al.. (2021). iEnhancer-DHF: Identification of Enhancers and Their Strengths Using Optimize Deep Neural Network With Multiple Features Extraction Methods. IEEE Access. 9. 40783–40796. 31 indexed citations

18.

Akbar, Shahid, Ashfaq Ahmad, Maqsood Hayat, et al.. (2021). iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model. Computers in Biology and Medicine. 137. 104778–104778. 77 indexed citations

19.

Khan, Salman, et al.. (2015). Comparison of Cooperative Diversity Protocols in Various Relay Locations through Network Coding. VFAST Transactions on Software Engineering. 8(1). 1–1. 3 indexed citations

20.

Mehmood, Amjad, Salman Khan, Daqiang Zhang, Jaime Lloret, & Syed Hassan Ahmed. (2014). IoTEC: IoT based Efficient Clustering Protocol for Wireless Sensor Network. 10–11. 6 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