Adnan Khan

978 citations
55 papers · 538 indexed · 1 hit paper · h-index 13

Adnan Khan

47 papers receiving 518 citations

Hit Papers

Novel approximations to the fourth-order fractional Cahn–...182025202651015

Peers

Adnan Khan
Comparison fields: 5 of 120
  • Modeling and Simulation 242
  • Health Informatics 18
  • Infectious Diseases 161
  • Public Health, Environmental and Occupational Health 175
  • Hepatology 23
Replace Tiantian Wu with:
Tiantian Wu China
Benjamin Collyer United Kingdom
Nahid Bhadelia United States
Varsha Potdar India
Matt D. T. Hitchings United States
Caroline Guerrisi France
Olalekan John Okesanya Nigeria
Jane Cunningham Switzerland
Kishor Kumar Paul Bangladesh
Caroline S. Brown Netherlands
Adnan Khan relative to Tiantian Wu China Tiantian Wu's profile →
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Citations per year

Countries citing papers authored by Adnan Khan

Since Specialization
Citations

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

Fields of papers citing papers by Adnan Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2
Novel approximations to the fourth-order fractional Cahn–Hillard equations: Application to the Tantawy Technique and other two techniques with Yang transformbreakdown →
202518
3 20240
4 20241
5 20241
6 20231
7 20231
8 20232
9 20230
10 20231
11 20230
12 20221
13 20223
14 202010
15 201743
16 201565
17 201522
18 20147
19 201316
20 201313

About Adnan Khan

Adnan Khan is a scholar working on Modeling and Simulation, Fuel Technology and Health Informatics, having authored 55 papers that have together received 538 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (14 papers), Mathematical and Theoretical Epidemiology and Ecology Models (10 papers), Influenza Virus Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Viral Infections and Vectors (3 papers), Fractional Differential Equations Solutions (3 papers), Pneumonia and Respiratory Infections (3 papers) and Viral Infections and Outbreaks Research (3 papers). The work is most often cited by research in Modeling and Simulation (242 citations), Health Informatics (18 citations) and Infectious Diseases (161 citations). Adnan Khan has collaborated with scholars based in Pakistan, United States and Kuwait. Frequent co-authors include Mudassar Imran, Muhammad Radzi Abu Hassan, Muhammad Usman, Muhammad Altaf Khan, Saeed Islam, Ebenezer Bonyah, Kazeem O. Okosun, Kashif Ali, Ali Ansari and David J. Kelvin. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Stroke.

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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