Muhammad Adnan Khan

13.0k citations
280 papers · 7.3k indexed · 7 hit papers · h-index 50

Muhammad Adnan Khan

258 papers receiving 6.8k citations

Hit Papers

Signature-based...23202120262022202450100150200

Peers

Muhammad Adnan Khan
Comparison fields: 5 of 192
  • Health Information Management 602
  • Artificial Intelligence 2.3k
  • Health Informatics 84
  • Neurology 509
  • Information Systems 1.3k
Replace K. Shankar with:
K. Shankar India
Gunasekaran Manogaran United States
Seifedine Kadry Lebanon
Sagheer Abbas Pakistan
Mazin Abed Mohammed Iraq
Praveen Kumar Reddy Maddikunta India
Mehedi Masud Saudi Arabia
Deepak Gupta India
Gaurav Dhiman India
N. Z. Jhanjhi Malaysia
Muhammad Adnan Khan relative to K. Shankar India K. Shankar's profile →
Citations per field
00.5×
K. Shankar · 1×
Citations per year

Countries citing papers authored by Muhammad Adnan Khan

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Adnan Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Muhammad Adnan 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 Muhammad Adnan Khan Line = papers co-authored together Muhammad Adnan Khan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202511
2
Smart buildings: Federated learning-driven secure, transparent and smart energy management system using XAIbreakdown →
202514
3 20250
4 20250
5 20250
6 202412
7 202431
8 202416
9 20242
10 20246
11 20244
12 20241
13 20234
14 202326
15 202350
16 20222
17 20224
18 202167
19 20209
20 20160

About Muhammad Adnan Khan

Muhammad Adnan Khan is a scholar working on Health Information Management, Artificial Intelligence and Orthodontics, having authored 280 papers that have together received 7.3k indexed citations. Recurring topics across this work include AI in cancer detection (29 papers), Artificial Intelligence in Healthcare (24 papers), COVID-19 diagnosis using AI (24 papers), Blockchain Technology Applications and Security (13 papers), Chaos-based Image/Signal Encryption (13 papers), Traffic Prediction and Management Techniques (13 papers), Dental materials and restorations (13 papers) and Machine Learning and ELM (12 papers). The work is most often cited by research in Health Information Management (602 citations), Artificial Intelligence (2.3k citations) and Health Informatics (84 citations). Muhammad Adnan Khan has collaborated with scholars based in Pakistan, South Korea and Saudi Arabia. Frequent co-authors include Sagheer Abbas, Taher M. Ghazal, Munir Ahmad, Areej Fatima, Abdur Rehman, Muzammil Hussain, Shahan Yamin Siddiqui, Muhammad Waqas Nadeem, Atta Rahman and Mohammed A. Al Ghamdi.

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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