Amjad Ali

606 total citations · 1 hit paper
46 papers, 410 citations indexed

About

Amjad Ali is a scholar working on Artificial Intelligence, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Amjad Ali has authored 46 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Surgery and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Amjad Ali's work include Gene expression and cancer classification (6 papers), Face and Expression Recognition (5 papers) and Medical Imaging Techniques and Applications (3 papers). Amjad Ali is often cited by papers focused on Gene expression and cancer classification (6 papers), Face and Expression Recognition (5 papers) and Medical Imaging Techniques and Applications (3 papers). Amjad Ali collaborates with scholars based in Pakistan, United States and United Arab Emirates. Amjad Ali's co-authors include Zardad Khan, Dost Muhammad Khan, Michael K. O’Connor, Raymond J. Gibbons, James H. O’Keefe, Jack E. Juni, James C.H. Chu, Cam Nguyen, Vikas Saxena and Robert C. Hendel and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.

In The Last Decade

Amjad Ali

39 papers receiving 401 citations

Hit Papers

Nanofluids for Advanced Applications: A Comprehensive Rev... 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amjad Ali Pakistan 10 145 83 56 56 54 46 410
Hee Jun Kang South Korea 12 150 1.0× 55 0.7× 46 0.8× 51 0.9× 109 2.0× 48 555
Jiamin Liu China 10 202 1.4× 53 0.6× 35 0.6× 41 0.7× 144 2.7× 27 568
Shuo Zhou China 11 40 0.3× 42 0.5× 62 1.1× 41 0.7× 52 1.0× 42 459
Parisa Movahedi Finland 8 119 0.8× 24 0.3× 22 0.4× 65 1.2× 38 0.7× 15 326
Jing Lv China 14 60 0.4× 55 0.7× 45 0.8× 38 0.7× 20 0.4× 77 654
Zhiwen Huang China 14 94 0.6× 28 0.3× 89 1.6× 82 1.5× 32 0.6× 42 624
R. Summers United Kingdom 11 137 0.9× 89 1.1× 23 0.4× 35 0.6× 195 3.6× 58 606
Omar Mohd Rijal Malaysia 12 180 1.2× 35 0.4× 79 1.4× 80 1.4× 26 0.5× 53 369
Xiaoli Tang China 11 165 1.1× 39 0.5× 24 0.4× 51 0.9× 52 1.0× 29 429

Countries citing papers authored by Amjad Ali

Since Specialization
Citations

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

Fields of papers citing papers by Amjad Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amjad Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Amjad Ali. A scholar is included among the top collaborators of Amjad Ali 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 Amjad Ali. Amjad Ali 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.
Ali, Amjad, et al.. (2025). Optimized feature selection in high-dimensional gene expression data using weighted differential gene expression analysis. Applied Soft Computing. 180. 113329–113329. 1 indexed citations
2.
Khan, Zardad, et al.. (2025). Customer Lifetime Value Modeling via Two Stage Selected Trees Ensembles. IEEE Access. 13. 115236–115247.
3.
Ali, Amjad, et al.. (2025). Double weighted k nearest neighbours for binary classification of high dimensional genomic data. Scientific Reports. 15(1). 12681–12681.
4.
Li, Xiansheng, Jing Huang, Amjad Ali, et al.. (2025). Multifunctional Dithiol Crosslinking Additive Enables Highly Efficient and Stable Inkjet‐Printed Perovskite Quantum Dot Light‐Emitting Diodes. Advanced Materials. 38(4). e15555–e15555.
5.
Ali, Amjad, et al.. (2024). An Optimal Random Projection k Nearest Neighbors Ensemble via Extended Neighborhood Rule for Binary Classification. IEEE Access. 12. 61401–61409. 6 indexed citations
6.
Chen, Yong, et al.. (2024). DC voltage and active power regulations in multi terminal high voltage direct current transmission system: A review. Renewable and Sustainable Energy Reviews. 209. 115142–115142. 2 indexed citations
7.
Ali, Amjad, et al.. (2023). Feature selection for high dimensional microarray gene expression data via weighted signal to noise ratio. PLoS ONE. 18(4). e0284619–e0284619. 9 indexed citations
8.
Khan, Dost Muhammad, et al.. (2023). Optimal -k nearest neighbours based ensemble for classification and feature selection in chemometrics data. Chemometrics and Intelligent Laboratory Systems. 240. 104882–104882. 6 indexed citations
9.
Ali, Amjad, et al.. (2022). Optimal Causal Decision Trees Ensemble for Improved Prediction and Causal Inference. IEEE Access. 10. 13000–13011. 11 indexed citations
10.
Ali, Amjad, Dost Muhammad Khan, Zardad Khan, et al.. (2022). A New Member of T‐X Family with Applications in Different Sectors. Journal of Mathematics. 2022(1). 9 indexed citations
11.
Khan, Zardad, et al.. (2022). Gene Selection in Binary Classification Problems Within Functional Genomics Experiments via Robust Fisher Score. IEEE Access. 10. 51682–51692. 12 indexed citations
12.
Ali, Amjad, et al.. (2017). A Case of Left Ventricular False Tendon with Ventricular Tachycardia. SHILAP Revista de lepidopterología. 18(1). 30–31.
13.
Ali, Amjad, et al.. (2016). Rare case of double atrial septum, an incidentally detected anomaly. Journal of Echocardiography. 14(2). 79–80. 1 indexed citations
14.
Wang, Xinkang, Stan Kurowski, Weizhen Wu, et al.. (2016). Inhibition of Factor XIa Reduces the Frequency of Cerebral Microembolic Signals Derived from Carotid Arterial Thrombosis in Rabbits. Journal of Pharmacology and Experimental Therapeutics. 360(3). 476–483. 7 indexed citations
15.
Ali, Amjad, et al.. (2015). Unusual site of left ventricular thrombus after acute myocardial infarction. Journal of Cardiovascular Echography. 25(3). 83–83.
16.
Ali, Amjad, et al.. (2015). 'Tendon xanthomas' as an indicator of premature coronary artery disease. Oxford Medical Case Reports. 2015(1). 177–178. 1 indexed citations
17.
Ali, Amjad, et al.. (2001). Uptake of FDG in Osseous Hemangioendothelioma. Clinical Nuclear Medicine. 26(6). 572–572. 4 indexed citations
18.
Chu, James C.H., et al.. (1999). CT and PET lung image registration and fusion in radiotherapy treatment planning using the chamfer-matching method. International Journal of Radiation Oncology*Biology*Physics. 43(4). 883–891. 57 indexed citations
19.
Alibazoglu, Haluk, et al.. (1999). False-Negative FDG PET Imaging in a Patient With Metastatic Melanoma and Ileal Intussusception. Clinical Nuclear Medicine. 24(2). 129–129. 5 indexed citations
20.
Alibazoglu, Haluk, et al.. (1997). FDG Uptake in Gestational Sac. Clinical Nuclear Medicine. 22(8). 557–557. 5 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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