F.M.A. Salam

1.8k total citations
125 papers, 885 citations indexed

About

F.M.A. Salam is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, F.M.A. Salam has authored 125 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 35 papers in Electrical and Electronic Engineering and 26 papers in Signal Processing. Recurrent topics in F.M.A. Salam's work include Neural Networks and Applications (45 papers), Blind Source Separation Techniques (21 papers) and Advanced Memory and Neural Computing (18 papers). F.M.A. Salam is often cited by papers focused on Neural Networks and Applications (45 papers), Blind Source Separation Techniques (21 papers) and Advanced Memory and Neural Computing (18 papers). F.M.A. Salam collaborates with scholars based in United States, Jordan and United Arab Emirates. F.M.A. Salam's co-authors include Mohammed Awad, Khurram Waheed, Qusai Y. Shambour, M. Hourani, Mohammed Azmi Al‐Betar, Sharif Naser Makhadmeh, Arafat Awajan, Bushra Alhijawi, Salam Al-E’mari and Yousef Sanjalawe and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

F.M.A. Salam

105 papers receiving 816 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F.M.A. Salam United States 15 390 256 220 164 162 125 885
Yuan Qi China 17 443 1.1× 423 1.7× 340 1.5× 214 1.3× 134 0.8× 96 1.3k
Guanggang Geng China 17 415 1.1× 400 1.6× 177 0.8× 297 1.8× 139 0.9× 61 852
Robert F. Mills United States 16 290 0.7× 447 1.7× 193 0.9× 283 1.7× 324 2.0× 83 983
Len Hamey Australia 16 494 1.3× 283 1.1× 194 0.9× 104 0.6× 48 0.3× 61 936
Narendra S. Chaudhari India 17 470 1.2× 471 1.8× 137 0.6× 311 1.9× 225 1.4× 171 1.1k
Xiaolong Yang China 16 288 0.7× 418 1.6× 126 0.6× 104 0.6× 268 1.7× 112 828
Rohan A. Baxter Australia 11 713 1.8× 137 0.5× 147 0.7× 193 1.2× 49 0.3× 19 1.0k
Qingtao Wu China 17 340 0.9× 472 1.8× 47 0.2× 181 1.1× 125 0.8× 135 995
Yau-Hwang Kuo Taiwan 19 357 0.9× 286 1.1× 67 0.3× 173 1.1× 158 1.0× 82 1.1k

Countries citing papers authored by F.M.A. Salam

Since Specialization
Citations

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

Fields of papers citing papers by F.M.A. Salam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.M.A. 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 F.M.A. Salam. The network helps show where F.M.A. Salam may publish in the future.

Co-authorship network of co-authors of F.M.A. Salam

This figure shows the co-authorship network connecting the top 25 collaborators of F.M.A. Salam. A scholar is included among the top collaborators of F.M.A. 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 F.M.A. Salam. F.M.A. Salam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Al‐Betar, Mohammed Azmi, Otto L. Muskens, Mohamed Abd Elaziz, et al.. (2025). Modelling distillate output of a solar distiller with eco-friendly wood-based steam generation basin using machine learning model and starling murmuration optimizer. International Journal of Thermofluids. 27. 101179–101179. 7 indexed citations
2.
Sanjalawe, Yousef, et al.. (2025). A deep learning-driven multi-layered steganographic approach for enhanced data security. Scientific Reports. 15(1). 4761–4761. 7 indexed citations
3.
Sanjalawe, Yousef, et al.. (2025). A Review of 6G and AI Convergence: Enhancing Communication Networks With Artificial Intelligence. IEEE Open Journal of the Communications Society. 6. 2308–2355. 16 indexed citations
4.
Makhadmeh, Sharif Naser, F.M.A. Salam, Mohammed Awad, et al.. (2025). A crossover-integrated Marine Predator Algorithm for feature selection in intrusion detection systems within IoT environments. Internet of Things. 31. 101536–101536.
5.
Sanjalawe, Yousef, et al.. (2025). Smart load balancing in cloud computing: Integrating feature selection with advanced deep learning models. PLoS ONE. 20(9). e0329765–e0329765.
6.
Al‐Betar, Mohammed Azmi, et al.. (2024). A Communication-Efficient Federated Learning Framework for Sustainable Development Using Lemurs Optimizer. Algorithms. 17(4). 160–160. 1 indexed citations
7.
Salam, F.M.A., Qusai Y. Shambour, Mohammed Azmi Al‐Betar, & Sharif Naser Makhadmeh. (2024). Variational Autoencoders-Based Algorithm for Multi-Criteria Recommendation Systems. Algorithms. 17(12). 561–561. 1 indexed citations
8.
Sanjalawe, Yousef, et al.. (2024). Novel, Fast, Strong, and Parallel: A Colored Image Cipher Based on SBTM CPRNG. Symmetry. 16(5). 593–593. 1 indexed citations
9.
Salam, F.M.A., et al.. (2023). Intrusion detection system for large-scale IoT NetFlow networks using machine learning with modified Arithmetic Optimization Algorithm. Internet of Things. 22. 100819–100819. 59 indexed citations
10.
Awad, Mohammed & F.M.A. Salam. (2023). Recursive Feature Elimination with Cross-Validation with Decision Tree: Feature Selection Method for Machine Learning-Based Intrusion Detection Systems. Journal of Sensor and Actuator Networks. 12(5). 67–67. 68 indexed citations
11.
Sanjalawe, Yousef, et al.. (2023). Cryptographic Grade Chaotic Random Number Generator Based on Tent-Map. Journal of Sensor and Actuator Networks. 12(5). 73–73. 7 indexed citations
12.
Alhijawi, Bushra, F.M.A. Salam, & Arafat Awajan. (2023). Multi-factor ranking method for trading-off accuracy, diversity, novelty, and coverage of recommender systems. International Journal of Information Technology. 15(3). 1427–1433. 6 indexed citations
13.
Alhijawi, Bushra, F.M.A. Salam, & Arafat Awajan. (2023). Adaptable inheritance-based prediction model for multi-criteria recommender system. Multimedia Tools and Applications. 82(21). 32421–32442. 3 indexed citations
14.
Awad, Mohammed, et al.. (2022). Examining the Suitability of NetFlow Features in Detecting IoT Network Intrusions. Sensors. 22(16). 6164–6164. 23 indexed citations
15.
Alhijawi, Bushra, Arafat Awajan, & F.M.A. Salam. (2022). Survey on the Objectives of Recommender Systems: Measures, Solutions, Evaluation Methodology, and New Perspectives. ACM Computing Surveys. 55(5). 1–38. 37 indexed citations
16.
Shambour, Qusai Y., F.M.A. Salam, & M. Hourani. (2018). The Implementation of Mobile Technologies in Higher Education: A Mobile Application for University Course Advising. 網際網路技術學刊. 19(5). 1327–1337. 4 indexed citations
17.
Salam, F.M.A., et al.. (2003). Neural circuits for programmable analog MOS VLSI implementation. 240–243.
18.
Salam, F.M.A., et al.. (2003). Compliant control of constrained robot manipulators: stabilization on the constraint surface. 1622–1627. 2 indexed citations
19.
Salam, F.M.A., et al.. (1991). A real-time experiment using a 50-neuron CMOS analog silicon chip with on-chip digital learning. IEEE Transactions on Neural Networks. 2(4). 461–464. 7 indexed citations
20.
Salam, F.M.A. & Song Bai. (1991). A new feedback neural network with supervised learning. IEEE Transactions on Neural Networks. 2(1). 170–173. 9 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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