Asadullah Shaikh

156 papers receiving 1.9k citations

Asadullah Shaikh's Hit Papers

Detection of Pneumonia from Chest X-ray Images Utilizing MobileNet Model 2023 · 132 citations
1320+1+2Years since publication4080120

Peers

Asadullah Shaikh
Comparison fields: 5 of 154
  • Software 117
  • Health Information Management 129
  • Information Systems 459
  • Artificial Intelligence 558
  • Computer Networks and Communications 349
Replace Vicente García‐Díaz with:
Vicente García‐Díaz Spain
Ajay Rana India
M. Irfan Uddin Pakistan
Mutasem K. Alsmadi Saudi Arabia
Vili Podgorelec Slovenia
Dirk Draheim Estonia
Mamoona Humayun Saudi Arabia
Kamran Shaukat Australia
Jafar A. Alzubi Jordan
Jorge Bernardino Portugal
Asadullah Shaikh relative to Vicente García‐Díaz Spain Vicente García‐Díaz's profile →
Citations per field
00.5×2.6×
Vicente García‐Díaz · 1×
Citations per year

Countries citing papers authored by Asadullah Shaikh

Since Specialization
Citations

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

Fields of papers citing papers by Asadullah Shaikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Detection of Pneumonia from Chest X-ray Images Utilizing MobileNet Model
Hit paper breakdown →
2023132
2 2020114
3 202380
4 202066
5 201961
6 202346
7
International Conference on Complex, Intelligent and Software Intensive Systems, 2009. CISIS '09
200945
8 202339
9 202337
10 202337
11 201036
12 202335
13 202135
14 202234
15 202234
16 202132
17 202330
18 202330
19 200929
20 202128

About Asadullah Shaikh

Asadullah Shaikh is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 166 papers that have together received 2.0k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (15 papers), AI in cancer detection (13 papers), Model-Driven Software Engineering Techniques (12 papers), Artificial Intelligence in Healthcare (12 papers), Software Engineering Research (10 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Software Testing and Debugging Techniques (9 papers) and COVID-19 diagnosis using AI (9 papers). The work is most often cited by research in Software (117 citations), Health Information Management (129 citations), Information Systems (459 citations), Artificial Intelligence (558 citations) and Computer Networks and Communications (349 citations). Asadullah Shaikh has collaborated with scholars based in Saudi Arabia, Pakistan and India. Frequent co-authors include Mana Saleh Al Reshan, Adel Sulaiman, Hani Alshahrani, Sheifali Gupta, M. A. Elmagzoub, Quadri Noorulhasan Naveed, M.N. Qureshi, Vatsala Anand, Nasrullah Memon and Khairan Rajab. Their work appears in journals such as IEEE Access, Sustainability, Electronics, Scientific Reports and PLoS ONE.

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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