Ali Al‐Naji

2.4k total citations · 1 hit paper
83 papers, 1.6k citations indexed

About

Ali Al‐Naji is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ali Al‐Naji has authored 83 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Biomedical Engineering, 23 papers in Computer Vision and Pattern Recognition and 17 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ali Al‐Naji's work include Non-Invasive Vital Sign Monitoring (28 papers), Heart Rate Variability and Autonomic Control (13 papers) and ECG Monitoring and Analysis (9 papers). Ali Al‐Naji is often cited by papers focused on Non-Invasive Vital Sign Monitoring (28 papers), Heart Rate Variability and Autonomic Control (13 papers) and ECG Monitoring and Analysis (9 papers). Ali Al‐Naji collaborates with scholars based in Australia, Iraq and Malaysia. Ali Al‐Naji's co-authors include Javaan Chahl, Munir Oudah, Asanka G. Perera, Kim Gibson, Sang‐Heon Lee, Sadik Kamel Gharghan, Saleem Latteef Mohammed, Ammar Hussein Mutlag, Mahmood Jawad Abu-AlShaeer and Aqeel Mahmood Jawad and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Ali Al‐Naji

78 papers receiving 1.6k citations

Hit Papers

Hand Gesture Recognition ... 2020 2026 2022 2024 2020 100 200 300
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.

  1. Hand Gesture Recognition Based on Computer Vision: A Review of Techniques
    2020 360 citations Munir Oudah, Ali Al‐Naji et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Al‐Naji Australia 21 767 375 350 314 263 83 1.6k
Sarah Ostadabbas United States 21 561 0.7× 389 1.0× 148 0.4× 196 0.6× 145 0.6× 106 1.5k
Jacek Rumiński Poland 17 501 0.7× 246 0.7× 142 0.4× 318 1.0× 132 0.5× 117 1.2k
Horst–Michael Groß Germany 22 421 0.5× 856 2.3× 194 0.6× 178 0.6× 104 0.4× 130 2.1k
Celia Shahnaz Bangladesh 20 388 0.5× 440 1.2× 165 0.5× 429 1.4× 72 0.3× 153 1.8k
Shaikh Anowarul Fattah Bangladesh 25 530 0.7× 656 1.7× 243 0.7× 262 0.8× 76 0.3× 252 2.8k
Susanna Spinsante Italy 26 945 1.2× 973 2.6× 153 0.4× 232 0.7× 84 0.3× 218 2.7k
Κωνσταντίνος Μουστάκας Greece 21 224 0.3× 428 1.1× 173 0.5× 68 0.2× 124 0.5× 189 1.6k
Yannick Benezeth France 17 785 1.0× 618 1.6× 48 0.1× 492 1.6× 235 0.9× 58 1.7k
Thenkurussi Kesavadas United States 19 815 1.1× 245 0.7× 118 0.3× 134 0.4× 796 3.0× 118 1.6k
Steffen Müller Germany 24 568 0.7× 122 0.3× 42 0.1× 196 0.6× 205 0.8× 137 1.8k

Countries citing papers authored by Ali Al‐Naji

Since Specialization
Citations

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

Fields of papers citing papers by Ali Al‐Naji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Al‐Naji. 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 Ali Al‐Naji. The network helps show where Ali Al‐Naji may publish in the future.

Co-authorship network of co-authors of Ali Al‐Naji

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Al‐Naji. A scholar is included among the top collaborators of Ali Al‐Naji 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 Ali Al‐Naji. Ali Al‐Naji 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‐Naji, Ali, et al.. (2024). Computer vision for eye diseases detection using pre‐trained deep learning techniques and raspberry Pi. The Journal of Engineering. 2024(7). 2 indexed citations
2.
Perera, Asanka G., et al.. (2024). Computer Vision for Automated Facial Characteristics Detection. 1(1). 13–19.
3.
Perera, Asanka G., et al.. (2024). Integrating RGB-thermal image sensors for non-contact automatic respiration rate monitoring. Journal of the Optical Society of America A. 41(6). 1140–1140. 3 indexed citations
4.
Al‐Naji, Ali, et al.. (2024). Facial palsy detection using pre-trained deep learning models: A comparative study. AIP conference proceedings. 1 indexed citations
5.
Cheng, Lim Kok, et al.. (2023). Image Denoising Using Hybrid Deep Learning Approach and Self-Improved Orca Predation Algorithm. SHILAP Revista de lepidopterología. 11(4). 111–111. 8 indexed citations
6.
Al‐Naji, Ali, et al.. (2023). Automated Computer Vision System for Urine Color Detection. SHILAP Revista de lepidopterología. 5(1). 66–73. 2 indexed citations
7.
Al‐Naji, Ali, et al.. (2023). Tongue Color Analysis and Diseases Detection Based on a Computer Vision System. SHILAP Revista de lepidopterología. 5(1). 22–37. 1 indexed citations
8.
Perera, Asanka G., et al.. (2023). Facial Recognition Databases: Recent Developments and Review of Methods. SHILAP Revista de lepidopterología. 5(4). 95–104.
9.
Al‐Naji, Ali, et al.. (2023). Computer-Aid System for Automated Jaundice Detection. SHILAP Revista de lepidopterología. 5(1). 8–15. 6 indexed citations
10.
Al‐Naji, Ali, et al.. (2023). Lightweight and Robust Malware Detection Using Dictionaries of API Calls. SHILAP Revista de lepidopterología. 4(4). 746–757. 2 indexed citations
11.
Al‐Naji, Ali, et al.. (2023). Features Engineering to Differentiate between Malware and Legitimate Software. Applied Sciences. 13(3). 1972–1972. 9 indexed citations
12.
Al‐Naji, Ali, et al.. (2023). Lung cancer detection with computer-aided diagnosis (CAD) for various methods, segmentation, classification and analysis: A review. AIP conference proceedings. 2804. 40011–40011. 1 indexed citations
13.
Al‐Naji, Ali, et al.. (2023). Automatic Facial Palsy, Age and Gender Detection Using a Raspberry Pi. SHILAP Revista de lepidopterología. 3(2). 455–466. 5 indexed citations
14.
Al‐Naji, Ali, et al.. (2022). Generating Masked Facial Datasets Using Dlib-Machine Learning Library. 10. 66–70. 1 indexed citations
15.
Al‐Naji, Ali, et al.. (2022). Tongue Color Analysis and Disease Diagnosis Based on a Computer Vision System. 1. 25–30. 1 indexed citations
16.
Al‐Naji, Ali, et al.. (2022). Applying TTIED-CMYK Algorithm in Wireless Sensor Networks Based on Raspberry pi and DHT-11. SHILAP Revista de lepidopterología. 4(3). 1–7.
17.
Al‐Naji, Ali, et al.. (2022). Contactless Blood Pressure Estimation System Using a Computer Vision System. Inventions. 7(3). 84–84. 3 indexed citations
18.
Al‐Naji, Ali, et al.. (2022). Features Engineering for Malware Family Classification Based API Call. Computers. 11(11). 160–160. 8 indexed citations
19.
Oudah, Munir, Ali Al‐Naji, & Javaan Chahl. (2020). Elderly Care Based on Hand Gestures Using Kinect Sensor. Computers. 10(1). 5–5. 21 indexed citations
20.
Al-Hinti, I., et al.. (2008). Energy saving opportunities through heat recovery from cement processing kilns: a case study. International Conference on Energy & Environment. 79–83. 2 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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