Arshad Ali

49 papers receiving 805 citations

Arshad Ali's Hit Papers

A Comparison of Pooling Methods for Convolutional Neural Networks 2022 · 214 citations
2140+1+2Years since publication50100150200

Peers

Arshad Ali
Comparison fields: 5 of 136
  • Software 42
  • Internal Medicine 28
  • Cardiology and Cardiovascular Medicine 178
  • Computer Vision and Pattern Recognition 125
  • Radiology, Nuclear Medicine and Imaging 103
Replace Yujun Li with:
Yujun Li China
Saif Ur Rehman Pakistan
Hakan Duman Türkiye
Ivan Štajduhar Croatia
Rizwan Khan China
Juan Zamorano Spain
Alessandro Pappalardo Italy
André Bauer Germany
Erico Tjoa Singapore
Arshad Ali relative to Yujun Li China Yujun Li's profile →
Citations per field
00.5×10×14×
Yujun Li · 1×
Citations per year

Countries citing papers authored by Arshad Ali

Since Specialization
Citations

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

Fields of papers citing papers by Arshad Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Comparison of Pooling Methods for Convolutional Neural Networks
Hit paper breakdown →
2022214
2 2006172
3 202147
4 201939
5 201833
6 200031
7 202125
8
Use of platelet glycoprotein IIb/IIIa inhibitors and spontaneous pulmonary hemorrhage.
200324
9 199724
10 201824
11 200622
12 201818
13 202416
14 199515
15 200413
16 201911
17 200111
18 201810
19 201710
20 20069

About Arshad Ali

Arshad Ali is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing and Information Systems, having authored 59 papers that have together received 859 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (12 papers), Advanced Malware Detection Techniques (9 papers), Anomaly Detection Techniques and Applications (7 papers), Chaos-based Image/Signal Encryption (6 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Acute Myocardial Infarction Research (4 papers), Advanced Neural Network Applications (3 papers) and Time Series Analysis and Forecasting (3 papers). The work is most often cited by research in Software (42 citations), Internal Medicine (28 citations), Cardiology and Cardiovascular Medicine (178 citations), Computer Vision and Pattern Recognition (125 citations) and Radiology, Nuclear Medicine and Imaging (103 citations). Arshad Ali has collaborated with scholars based in Pakistan, China and United States. Frequent co-authors include Saman Riaz, Licheng Jiao, Ashit Kumar Dutta, Sultan Almotairi, Abdulrahman Alruban, Nazri Mohd Nawi, Muhammad Aamir, Dwight Stapleton, Michael Azrin and Jeffrey J. Popma. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), IEEE Access, Applied Sciences, Journal of the American College of Cardiology and CHEST Journal.

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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