Sajid Ali Khan

1.6k citations
27 papers · 1.1k indexed · 1 hit paper · h-index 17

Sajid Ali Khan

26 papers receiving 1.0k citations

Hit Papers

A review on multimodal medical image fusion: Compendious ...230202220262023202450100150200

Peers

Sajid Ali Khan
Comparison fields: 5 of 121
  • Computer Vision and Pattern Recognition 550
  • Media Technology 144
  • Human-Computer Interaction 70
  • Health Informatics 17
  • Artificial Intelligence 394
Replace Shuihua Wang with:
Shuihua Wang United Kingdom
Farhan Riaz Pakistan
Jaehyuk Cha South Korea
Vishnuvarthanan Govindaraj India
Omneya Attallah Egypt
Ahmed Sedik Egypt
Walid Barhoumi Tunisia
Mohammad Farukh Hashmi India
Yuji Iwahori Japan
Mohammed A.‐M. Salem Egypt
Sajid Ali Khan relative to Shuihua Wang United Kingdom Shuihua Wang's profile →
Citations per field
00.5×1.5×2.5×
Shuihua Wang · 1×
Citations per year

Countries citing papers authored by Sajid Ali Khan

Since Specialization
Citations

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

Fields of papers citing papers by Sajid Ali Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Sajid Ali Khan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sajid Ali Khan Line = papers co-authored together Sajid Ali Khan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 202347
4 202315
5
A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metricsbreakdown →
2022230
6 202216
7 202214
8 20222
9 20213
10 202026
11 202084
12 202045
13 202030
14 2020157
15 202065
16 201922
17 201985
18 201828
19 20171
20 20157

About Sajid Ali Khan

Sajid Ali Khan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Gastroenterology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Advanced Image Fusion Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Biometric Identification and Security (3 papers), Colorectal Cancer Screening and Detection (3 papers), Human Pose and Action Recognition (3 papers), Gastrointestinal Bleeding Diagnosis and Treatment (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (550 citations), Media Technology (144 citations) and Human-Computer Interaction (70 citations). Sajid Ali Khan has collaborated with scholars based in Pakistan, Saudi Arabia and South Korea. Frequent co-authors include Muhammad Attique Khan, Shariq Hussain, Tanzila Saba, Shunkun Yang, Kashif Javed, Muhammad Nazir, Muhammad Adeel Azam, Khan Bahadar Khan, Eid Rehman and Amir H. Gandomi. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.

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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