Abdu Salam

790 total citations
33 papers, 421 citations indexed

About

Abdu Salam is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Abdu Salam has authored 33 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 11 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Abdu Salam's work include Brain Tumor Detection and Classification (7 papers), Network Security and Intrusion Detection (5 papers) and Privacy-Preserving Technologies in Data (5 papers). Abdu Salam is often cited by papers focused on Brain Tumor Detection and Classification (7 papers), Network Security and Intrusion Detection (5 papers) and Privacy-Preserving Technologies in Data (5 papers). Abdu Salam collaborates with scholars based in Pakistan, South Korea and Saudi Arabia. Abdu Salam's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Abdu Salam

29 papers receiving 404 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Abdu Salam Pakistan	12	129	122	119	113	65	33	421
Abdel-Hamid M. Emara Saudi Arabia	8	132 1.0×	104 0.9×	86 0.7×	90 0.8×	72 1.1×	22	342
Sudipta Roy India	13	130 1.0×	102 0.8×	104 0.9×	354 3.1×	60 0.9×	93	602
Majed Aborokbah Saudi Arabia	8	180 1.4×	44 0.4×	223 1.9×	72 0.6×	95 1.5×	33	478
Majdi Khalid Saudi Arabia	14	119 0.9×	52 0.4×	67 0.6×	68 0.6×	34 0.5×	42	405
Ghassen Ben Brahim Saudi Arabia	11	123 1.0×	64 0.5×	112 0.9×	86 0.8×	26 0.4×	49	415
Velmurugan Subbiah Parvathy India	10	88 0.7×	44 0.4×	131 1.1×	126 1.1×	75 1.2×	34	427
Gelan Yang China	12	128 1.0×	110 0.9×	60 0.5×	179 1.6×	38 0.6×	37	414
Balajee Maram India	9	109 0.8×	78 0.6×	49 0.4×	108 1.0×	36 0.6×	65	334
A. Manikandan India	15	156 1.2×	41 0.3×	186 1.6×	103 0.9×	60 0.9×	43	545
Omar Hisham Alsadoon Iraq	11	149 1.2×	67 0.5×	39 0.3×	129 1.1×	41 0.6×	37	375

Countries citing papers authored by Abdu Salam

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Abdu Salam

This figure shows the co-authorship network connecting the top 25 collaborators of Abdu Salam. A scholar is included among the top collaborators of Abdu Salam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Abdu Salam. Abdu Salam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Abrar, Mohammad, et al.. (2025). Enhancing brain tumor segmentation using attention based convolutional UNet on MRI images. Scientific Reports. 15(1). 36603–36603. 1 indexed citations

Rahman, Shahid, Jamal Uddin, Hameed Hussain, et al.. (2025). A novel and efficient digital image steganography technique using least significant bit substitution. Scientific Reports. 15(1). 107–107. 4 indexed citations

Sarwar, Nadeem, et al.. (2025). A flexible and lightweight signcryption scheme for underwater wireless sensor networks. Scientific Reports. 15(1). 13511–13511. 1 indexed citations

Anwar, Raja Waseem, Mohammad Abrar, Abdu Salam, & Faizan Ullah. (2025). Federated learning with LSTM for intrusion detection in IoT-based wireless sensor networks: a multi-dataset analysis. PeerJ Computer Science. 11. e2751–e2751. 6 indexed citations

Khan, Abdullah, Shahid Rahman, Abdu Salam, et al.. (2025). An improved hybrid image steganography method using AES algorithm. Scientific Reports. 15(1). 44515–44515.

Abrar, Mohammad, et al.. (2025). Enhanced schizophrenia detection using multichannel EEG and CAOA-RST-based feature selection. Scientific Reports. 15(1). 21814–21814.

Munir, Asim, et al.. (2024). A Dynamic Trust evaluation and update model using advance decision tree for underwater Wireless Sensor Networks. Scientific Reports. 14(1). 22393–22393. 4 indexed citations

Ullah, Faizan, Abdu Salam, Muhammad Nadeem, et al.. (2024). Extended dipeptide composition framework for accurate identification of anticancer peptides. Scientific Reports. 14(1). 17381–17381. 4 indexed citations

Ullah, Faizan, et al.. (2024). Deep Trust: A Novel Framework for Dynamic Trust and Reputation Management in the Internet of Things (IoT)-Based Networks. IEEE Access. 12. 87407–87419. 16 indexed citations

10.

Salam, Abdu, et al.. (2024). Big Data Analytics Model Using Artificial Intelligence (AI) and 6G Technologies for Healthcare. IEEE Access. 12. 97924–97937. 6 indexed citations

11.

Salam, Abdu, et al.. (2024). Securing Smart Manufacturing by Integrating Anomaly Detection With Zero-Knowledge Proofs. IEEE Access. 12. 36346–36360. 26 indexed citations

12.

Salam, Abdu, et al.. (2024). Efficient prediction of anticancer peptides through deep learning. PeerJ Computer Science. 10. e2171–e2171. 8 indexed citations

13.

Hussain, Tariq, et al.. (2024). Enhancing Ocular Health Precision: Cataract Detection Using Fundus Images and ResNet-50. 1(3). 145–160. 6 indexed citations

14.

Salam, Abdu, et al.. (2023). Cluster-Based Data Aggregation in Flying Sensor Networks Enabled Internet of Things. Future Internet. 15(8). 279–279. 9 indexed citations

15.

Ullah, Faizan, Muhammad Nadeem, Mohammad Abrar, et al.. (2023). Enhancing Brain Tumor Segmentation Accuracy through Scalable Federated Learning with Advanced Data Privacy and Security Measures. Mathematics. 11(19). 4189–4189. 54 indexed citations

16.

Salam, Abdu, et al.. (2023). Efficient Data Collaboration Using Multi-Party Privacy Preserving Machine Learning Framework. IEEE Access. 11. 138151–138164. 17 indexed citations

17.

Salam, Abdu, Faizan Ullah, Farhan Amin, & Mohammad Abrar. (2023). Deep Learning Techniques for Web-Based Attack Detection in Industry 5.0: A Novel Approach. SHILAP Revista de lepidopterología. 11(4). 107–107. 32 indexed citations

18.

Ullah, Faizan, Abdu Salam, Mohammad Abrar, & Farhan Amin. (2023). Brain Tumor Segmentation Using a Patch-Based Convolutional Neural Network: A Big Data Analysis Approach. Mathematics. 11(7). 1635–1635. 18 indexed citations

19.

Ullah, Faizan, Muhammad Nadeem, Mohammad Abrar, et al.. (2023). Brain Tumor Segmentation from MRI Images Using Handcrafted Convolutional Neural Network. Diagnostics. 13(16). 2650–2650. 50 indexed citations

20.

Ahmad, Masood, et al.. (2018). A survey on Trust and Reputation-Based Clustering Algorithms in Mobile Ad-hoc Networks. 59–72. 1 indexed citations

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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