Hamdan Abdellatef

455 total citations
15 papers, 287 citations indexed

About

Hamdan Abdellatef is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Hamdan Abdellatef has authored 15 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Hamdan Abdellatef's work include Error Correcting Code Techniques (6 papers), Artificial Intelligence in Healthcare (3 papers) and Imbalanced Data Classification Techniques (3 papers). Hamdan Abdellatef is often cited by papers focused on Error Correcting Code Techniques (6 papers), Artificial Intelligence in Healthcare (3 papers) and Imbalanced Data Classification Techniques (3 papers). Hamdan Abdellatef collaborates with scholars based in Malaysia, Lebanon and Australia. Hamdan Abdellatef's co-authors include Abdallah Abdellatif, Hassan Muwafaq Gheni, Mohamed Khalil-Hani, Chee‐Onn Chow, Jeevan Kanesan, Joon Huang Chuah, Hamza Mubarak, Shameem Ahmad, Ab Al-Hadi Ab Rahman and Tofael Ahmed and has published in prestigious journals such as IEEE Access, Sensors and Sustainability.

In The Last Decade

Hamdan Abdellatef

15 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hamdan Abdellatef Malaysia	9	135	100	63	43	42	15	287
Rehan Ali Khan Pakistan	9	98 0.7×	76 0.8×	31 0.5×	41 1.0×	16 0.4×	21	261
Karisma Trinanda Putra Indonesia	9	129 1.0×	51 0.5×	20 0.3×	28 0.7×	36 0.9×	49	325
T. Poongodi India	8	69 0.5×	46 0.5×	43 0.7×	28 0.7×	94 2.2×	28	265
Archana Sarangi India	9	118 0.9×	36 0.4×	27 0.4×	43 1.0×	22 0.5×	22	244
Ali Karsaz Iran	10	153 1.1×	87 0.9×	27 0.4×	46 1.1×	17 0.4×	36	317
Kiran Sultan Saudi Arabia	11	53 0.4×	123 1.2×	10 0.2×	52 1.2×	109 2.6×	30	339
Saidul Islam Canada	3	71 0.5×	50 0.5×	8 0.1×	32 0.7×	14 0.3×	5	215
Hazem Migdady Jordan	10	93 0.7×	54 0.5×	6 0.1×	19 0.4×	24 0.6×	43	281
Uday Shankar Shanthamallu United States	6	110 0.8×	67 0.7×	5 0.1×	30 0.7×	97 2.3×	16	268
T. Manikandan India	8	75 0.6×	61 0.6×	17 0.3×	59 1.4×	69 1.6×	47	265

Countries citing papers authored by Hamdan Abdellatef

Since Specialization

Citations

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

Fields of papers citing papers by Hamdan Abdellatef

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamdan Abdellatef

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

All Works

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15 of 15 papers shown

Abdellatef, Hamdan & Lina J. Karam. (2023). Reduced-complexity Convolutional Neural Network in the compressed domain. Neural Networks. 169. 555–571. 1 indexed citations

Abdellatif, Abdallah, Hamza Mubarak, Hamdan Abdellatef, et al.. (2023). Computational detection and interpretation of heart disease based on conditional variational auto-encoder and stacked ensemble-learning framework. Biomedical Signal Processing and Control. 88. 105644–105644. 13 indexed citations

Abdellatif, Abdallah, Hamza Mubarak, Shameem Ahmad, et al.. (2023). Electricity Price Forecasting One Day Ahead by Employing Hybrid Deep Learning Model. Griffith Research Online (Griffith University, Queensland, Australia). 1–5. 4 indexed citations

Abdellatif, Abdallah, Hamdan Abdellatef, Jeevan Kanesan, et al.. (2022). Improving the Heart Disease Detection and Patients’ Survival Using Supervised Infinite Feature Selection and Improved Weighted Random Forest. IEEE Access. 10. 67363–67372. 29 indexed citations

Abdellatif, Abdallah, Hamdan Abdellatef, Jeevan Kanesan, et al.. (2022). An Effective Heart Disease Detection and Severity Level Classification Model Using Machine Learning and Hyperparameter Optimization Methods. IEEE Access. 10. 79974–79985. 50 indexed citations

Abdellatif, Abdallah, Hamza Mubarak, Shameem Ahmad, et al.. (2022). Forecasting Photovoltaic Power Generation with a Stacking Ensemble Model. Sustainability. 14(17). 11083–11083. 63 indexed citations

Abdellatef, Hamdan, et al.. (2022). A New Correlation Manipulation Circuit for Stochastic Computing. 182–186. 1 indexed citations

Helwan, Abdulkader, Danielle Azar, & Hamdan Abdellatef. (2022). An update on the knee osteoarthritis severity grading using wide residual learning. Journal of X-Ray Science and Technology. 30(5). 1009–1021. 7 indexed citations

Omran, Abdoulhdi A. Borhana, Jawaid I. Inayat-Hussain, Ali Najah Ahmed, et al.. (2022). Bearing Fault Diagnosis Using Lightweight and Robust One-Dimensional Convolution Neural Network in the Frequency Domain. Sensors. 22(15). 5793–5793. 28 indexed citations

10.

Abdellatef, Hamdan, et al.. (2021). Low-area and accurate inner product and digital filters based on stochastic computing. Signal Processing. 183. 108040–108040. 8 indexed citations

11.

Abdellatef, Hamdan, et al.. (2021). Accurate and compact convolutional neural network based on stochastic computing. Neurocomputing. 471. 31–47. 28 indexed citations

12.

Abdellatef, Hamdan, et al.. (2020). Characterization of Correlation in Stochastic Computing Functions. 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE). 1–5. 3 indexed citations

13.

Abdellatef, Hamdan, et al.. (2019). Accurate and compact stochastic computations by exploiting correlation. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 27(1). 547–564. 12 indexed citations

14.

Khalil-Hani, Mohamed, et al.. (2019). Spectral-based convolutional neural network without multiple spatial-frequency domain switchings. Neurocomputing. 364. 152–167. 30 indexed citations

15.

Abdellatef, Hamdan, et al.. (2018). Stochastic Computing Correlation Utilization in Convolutional Neural Network Basic Functions. TELKOMNIKA (Telecommunication Computing Electronics and Control). 16(6). 2835–2835. 10 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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