Abdu Salam
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
-
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
-
- Network Security and Intrusion Detection 5
- Security in Wireless Sensor Networks 3
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- Privacy-Preserving Technologies in Data 5
- Co-authors
- Faizan Ullah (20 shared papers)Farhan Amin (21 shared papers)Mohammad Abrar (17 shared papers)Muhammad Nadeem (5 shared papers)Qaisar Javaid (4 shared papers)Masood Ahmad (5 shared papers)Amerah Alabrah (3 shared papers)Salabat Khan (1 shared paper)
- Journals
- Scientific Reports (9 papers)IEEE Access (7 papers)PeerJ Computer Science (3 papers)Future Internet (1 paper)Wireless Networks (1 paper)
- Partner nations
- PakistanSouth KoreaSaudi Arabia
In The Last Decade
Abdu Salam
29 papers receiving 404 citations
Peers
Comparison fields: 5 of 78
- Neurology 122
- Computer Vision and Pattern Recognition 113
- Computer Networks and Communications 119
- Signal Processing 54
- Artificial Intelligence 129
Countries citing papers authored by Abdu Salam
This map shows the geographic impact of Abdu Salam'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 Abdu Salam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdu Salam more than expected).
Fields of papers citing papers by Abdu Salam
This network shows the impact of papers produced by Abdu Salam. 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 Abdu Salam. The network helps show where Abdu Salam may publish in the future.
Co-authors
The 25 scholars most cited alongside Abdu Salam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 54 | |
| 2 | 2023 | 50 | |
| 3 | 2023 | 42 | |
| 4 | 2020 | 35 | |
| 5 | 2023 | 32 | |
| 6 | 2024 | 26 | |
| 7 | 2024 | 22 | |
| 8 | 2023 | 18 | |
| 9 | 2023 | 17 | |
| 10 | 2024 | 16 | |
| 11 | 2023 | 13 | |
| 12 | 2025 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2022 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2024 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2024 | 6 | |
| 19 | 2025 | 6 | |
| 20 | 2024 | 6 |
About Abdu Salam
Abdu Salam is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Neurology and Information Systems, having authored 33 papers that have together received 421 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (7 papers), Privacy-Preserving Technologies in Data (5 papers), Network Security and Intrusion Detection (5 papers), Advanced Neural Network Applications (4 papers), Machine Learning in Bioinformatics (3 papers), Smart Grid Security and Resilience (3 papers), Security in Wireless Sensor Networks (3 papers) and UAV Applications and Optimization (3 papers). The work is most often cited by research in Neurology (122 citations), Computer Vision and Pattern Recognition (113 citations), Computer Networks and Communications (119 citations), Signal Processing (54 citations) and Artificial Intelligence (129 citations). Abdu Salam has collaborated with scholars based in Pakistan, South Korea and Saudi Arabia. Frequent co-authors include Faizan Ullah, Farhan Amin, Mohammad Abrar, Muhammad Nadeem, Qaisar Javaid, Masood Ahmad, Amerah Alabrah, Salabat Khan, Taha Alfakih and Muna Al‐Razgan. Their work appears in journals such as Scientific Reports, IEEE Access, PeerJ Computer Science, Future Internet and Wireless Networks.
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.