Muhammad Salman Khan

105 papers receiving 3.1k citations

Hit Papers

Can AI Help in Screening Viral and COVID-19 Pneumonia?20202026202220242020202120212505007501000

Peers

Muhammad Salman Khan
Comparison fields: 5 of 159
  • Radiology, Nuclear Medicine and Imaging 1.8k
  • Artificial Intelligence 1.4k
  • Computer Vision and Pattern Recognition 530
  • Pulmonary and Respiratory Medicine 392
  • Biomedical Engineering 286
Replace Alexander Wong with:
Alexander Wong Canada
Youbing Yin United States
Yaozong Gao United States
Muhammed Talo Türkiye
Yutong Xie China
Sema Candemir United States
Stefan Jaeger United States
Serena Yeung United States
Tanveer Syeda-Mahmood United States
Muhammad Salman Khan relative to Alexander Wong Canada Alexander Wong's profile →
Citations per field
00.5×1.5×
Alexander Wong · 1×
Citations per year

Countries citing papers authored by Muhammad Salman Khan

Since Specialization
Citations

This map shows the geographic impact of Muhammad 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 Muhammad 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 Muhammad Salman Khan more than expected).

Fields of papers citing papers by Muhammad Salman Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Salman Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Salman Khan. A scholar is included among the top collaborators of Muhammad 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 Muhammad Salman Khan. Muhammad Salman 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
#WorkIndexed citations
1 4
2 0
3 1
4 2
5 2
6 1
7 0
8 12
9 10
10 67
11 13
12 28
13
Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniquesbreakdown →
213
14 2
15 0
16 1
17
Enlarged Prostatic Utricle Cyst with Incidental Finding of Renal Agenesis: A Case Report and Literature Review
2
18
Prevalence of Intron 22 Inversions in Pakistani Hemophilic Patients
1
19 1
20
Multimodal blind source separation with a circular microphone array and robust beamforming
5

About Muhammad Salman Khan

Muhammad Salman Khan is a scholar working on Signal Processing, Issues, ethics and legal aspects and Hardware and Architecture, having authored 119 papers that have together received 3.2k indexed citations. Recurring topics across this work include Speech and Audio Processing (19 papers), Advanced Adaptive Filtering Techniques (10 papers) and Phonocardiography and Auscultation Techniques (9 papers). The work is most often cited by research in Health Informatics (256 citations), Radiology, Nuclear Medicine and Imaging (1.8k citations) and Artificial Intelligence (1.4k citations). Muhammad Salman Khan has collaborated with scholars based in Pakistan, Qatar and United States. Frequent co-authors include Muhammad E. H. Chowdhury, Amith Khandakar, Tawsifur Rahman, Mohammad Tariqul Islam, Mamun Bin Ibne Reaz, Zaid Bin Mahbub, Khandaker Reajul Islam, Rashid Mazhar, Muhammad Abdul Kadir and Atif Iqbal. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Heat and Mass Transfer.

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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