Jwan Najeeb Saeed

1.3k total citations · 1 hit paper
17 papers, 855 citations indexed

About

Jwan Najeeb Saeed is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Jwan Najeeb Saeed has authored 17 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Jwan Najeeb Saeed's work include Face recognition and analysis (6 papers), AI in cancer detection (5 papers) and Evolutionary Psychology and Human Behavior (4 papers). Jwan Najeeb Saeed is often cited by papers focused on Face recognition and analysis (6 papers), AI in cancer detection (5 papers) and Evolutionary Psychology and Human Behavior (4 papers). Jwan Najeeb Saeed collaborates with scholars based in Iraq, Malaysia and Ukraine. Jwan Najeeb Saeed's co-authors include Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree, Rizgar R. Zebari, Subhi R. M. Zeebaree, Dheyaa Ahmed Ibrahim, Dilovan Asaad Zebari, Diyar Qader Zeebaree, Adnan Mohsin Abdulazeez Brifcani, Dathar Abas Hasan and Siddeeq Y. Ameen and has published in prestigious journals such as Applied Sciences, The International Arab Journal of Information Technology and Indonesian Journal of Electrical Engineering and Computer Science.

In The Last Decade

Jwan Najeeb Saeed

16 papers receiving 822 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Comprehensive Review of Dimensionality Reduction Techniques for Feature Selection and Feature Extraction

2020 575 citations Rizgar R. Zebari, Adnan Mohsin Abdulazeez et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jwan Najeeb Saeed Iraq	12	331	231	81	78	70	17	855
Maruthi Rohit Ayyagari United States	7	326 1.0×	178 0.8×	67 0.8×	129 1.7×	93 1.3×	10	940
Michał Wieczorek Poland	12	305 0.9×	326 1.4×	156 1.9×	74 0.9×	58 0.8×	21	886
Jakub Siłka Poland	12	305 0.9×	323 1.4×	154 1.9×	74 0.9×	55 0.8×	14	876
Ahmed A. Elngar Egypt	14	326 1.0×	215 0.9×	62 0.8×	119 1.5×	41 0.6×	84	855
Shamila Nasreen Pakistan	6	377 1.1×	161 0.7×	40 0.5×	93 1.2×	92 1.3×	7	877
Sultan Almotairi Saudi Arabia	14	266 0.8×	238 1.0×	128 1.6×	129 1.7×	55 0.8×	58	873
Sujuan Hou China	14	242 0.7×	278 1.2×	71 0.9×	39 0.5×	39 0.6×	37	887
Chirag Patel India	11	255 0.8×	370 1.6×	120 1.5×	47 0.6×	63 0.9×	37	961
Jafar Tanha Iran	13	512 1.5×	178 0.8×	40 0.5×	79 1.0×	56 0.8×	76	841

Countries citing papers authored by Jwan Najeeb Saeed

Since Specialization

Citations

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

Fields of papers citing papers by Jwan Najeeb Saeed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jwan Najeeb Saeed. 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 Jwan Najeeb Saeed. The network helps show where Jwan Najeeb Saeed may publish in the future.

Co-authorship network of co-authors of Jwan Najeeb Saeed

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

All Works

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17 of 17 papers shown

Saeed, Jwan Najeeb, et al.. (2024). Insights into Automated Attractiveness Evaluation from 2D Facial Images: A Comprehensive Review. The International Arab Journal of Information Technology. 22(1).

Saeed, Jwan Najeeb, Adnan Mohsin Abdulazeez, & Dheyaa Ahmed Ibrahim. (2023). An Ensemble DCNNs-Based Regression Model for Automatic Facial Beauty Prediction and Analyzation. Traitement du signal. 40(1). 55–63. 17 indexed citations

Saeed, Jwan Najeeb, Adnan Mohsin Abdulazeez, & Dheyaa Ahmed Ibrahim. (2023). Automatic Facial Aesthetic Prediction Based on Deep Learning with Loss Ensembles. Applied Sciences. 13(17). 9728–9728. 10 indexed citations

Saeed, Jwan Najeeb, Adnan Mohsin Abdulazeez, & Dheyaa Ahmed Ibrahim. (2022). 2D Facial Images Attractiveness Assessment Based on Transfer Learning of Deep Convolutional Neural Networks. 13–18. 8 indexed citations

Saeed, Jwan Najeeb, Adnan Mohsin Abdulazeez, & Dheyaa Ahmed Ibrahim. (2022). FIAC-Net: Facial Image Attractiveness Classification Based on Light Deep Convolutional Neural Network. 1–6. 13 indexed citations

Saeed, Jwan Najeeb & Adnan Mohsin Abdulazeez. (2021). Facial Beauty Prediction and Analysis based on Deep Convolutional Neural Network: A Review. International Journal of Sustainable Construction Engineering and Technology (Universiti Tun Hussein Onn Malaysia). 2(1). 35 indexed citations

Saeed, Jwan Najeeb & Siddeeq Y. Ameen. (2021). Smart Healthcare for ECG Telemonitoring System. International Journal of Sustainable Construction Engineering and Technology (Universiti Tun Hussein Onn Malaysia). 2(2). 6 indexed citations

Zebari, Dilovan Asaad, et al.. (2021). Significant features for steganography techniques using deoxyribonucleic acid: a review. Indonesian Journal of Electrical Engineering and Computer Science. 21(1). 338–338. 14 indexed citations

Saeed, Jwan Najeeb & Subhi R. M. Zeebaree. (2021). Skin Lesion Classification Based on Deep Convolutional Neural Networks Architectures. 2(1). 41–51. 49 indexed citations

10.

Abdulazeez, Adnan Mohsin, et al.. (2021). Birds Sound Classification Based on Machine Learning Algorithms. Asian Journal of Research in Computer Science. 1–11. 24 indexed citations

11.

Abdulazeez, Adnan Mohsin, et al.. (2021). A Compassion of Three Data Miming Algorithms for Heart Disease Prediction. 2. 1–6. 8 indexed citations

12.

Zeebaree, Diyar Qader, et al.. (2020). Region of Interest Segmentation Based on Clustering Techniques for Breast Cancer Ultrasound Images: A Review. 1(2). 78–91. 16 indexed citations

13.

Zeebaree, Diyar Qader, et al.. (2020). A Review on Region of Interest Segmentation Based on Clustering Techniques for Breast Cancer Ultrasound Images. 1(3). 78–91. 13 indexed citations

14.

Zeebaree, Diyar Qader, et al.. (2020). A Review on Region of Interest Segmentation Based on Clustering Techniques for Breast Cancer Ultrasound Images. 1(3). 78–91. 16 indexed citations

15.

Zebari, Rizgar R., et al.. (2020). A Comprehensive Review of Dimensionality Reduction Techniques for Feature Selection and Feature Extraction. 1(1). 56–70. 575 indexed citations breakdown →

16.

Saeed, Jwan Najeeb. (2020). A SURVEY OF ULTRASONOGRAPHY BREAST CANCER IMAGE SEGMENTATION TECHNIQUES. Academic Journal of Nawroz University. 9(1). 1–1. 17 indexed citations

17.

Saeed, Jwan Najeeb, et al.. (2019). A Comparison of Three Classification Algorithms for Handwritten Digit Recognition. 58–63. 34 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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