Arian Azarang

473 total citations
24 papers, 309 citations indexed

About

Arian Azarang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Arian Azarang has authored 24 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Media Technology, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Arian Azarang's work include Advanced Image Fusion Techniques (9 papers), Remote-Sensing Image Classification (7 papers) and Image and Signal Denoising Methods (4 papers). Arian Azarang is often cited by papers focused on Advanced Image Fusion Techniques (9 papers), Remote-Sensing Image Classification (7 papers) and Image and Signal Denoising Methods (4 papers). Arian Azarang collaborates with scholars based in United States, Iran and Malta. Arian Azarang's co-authors include Nasser Kehtarnavaz, Hassan Ghassemian, Sadegh Kamaei, Mohammad Hassan Asemani, Mehdi Miri, John H. L. Hansen, Abhishek Sehgal, Virginie Papadopoulou, Daniel F. García and Ömer Oralkan and has published in prestigious journals such as PLoS ONE, Journal of Applied Physiology and The Journal of the Acoustical Society of America.

In The Last Decade

Arian Azarang

21 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arian Azarang United States	7	171	147	75	48	25	24	309
Ljubomir Jovanov Belgium	10	103 0.6×	223 1.5×	80 1.1×	17 0.4×	7 0.3×	39	333
Yao Cheng China	12	49 0.3×	143 1.0×	63 0.8×	26 0.5×	21 0.8×	27	363
Hsiao-Chi Li United States	12	136 0.8×	40 0.3×	27 0.4×	17 0.4×	29 1.2×	40	298
Junfeng Yang China	5	504 2.9×	467 3.2×	92 1.2×	17 0.4×	10 0.4×	6	619
Peter C. Tay United States	8	99 0.6×	228 1.6×	54 0.7×	9 0.2×	4 0.2×	34	307
Robert DiPietro United States	5	62 0.4×	73 0.5×	45 0.6×	8 0.2×	32 1.3×	10	223
Pedro Garcia Freitas Brazil	14	90 0.5×	360 2.4×	34 0.5×	21 0.4×	12 0.5×	53	510
William B. Thompson United States	6	47 0.3×	260 1.8×	22 0.3×	7 0.1×	7 0.3×	8	355
R.N. Czerwinski United States	7	56 0.3×	233 1.6×	56 0.7×	9 0.2×	8 0.3×	13	352

Countries citing papers authored by Arian Azarang

Since Specialization

Citations

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

Fields of papers citing papers by Arian Azarang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arian Azarang

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

All Works

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20 of 20 papers shown

Moon, Richard E., Michael J. Natoli, David Brown, et al.. (2025). Ultrasound detection of lymphatic bubbles in a porcine dive model. Journal of Applied Physiology. 139(2). 365–375.

Azarang, Arian, Michael J. Natoli, Richard E. Moon, et al.. (2024). Towards real-time decompression sickness mitigation using wearable capacitive micromachined ultrasonic transducer arrays. The Journal of the Acoustical Society of America. 155(3_Supplement). A325–A326. 1 indexed citations

Azarang, Arian, et al.. (2024). Analysis of gas evolution in the heart, liver, and kidney of turtles presenting with gas embolic pathology based on ultrasonography. The Journal of the Acoustical Society of America. 155(3_Supplement). A52–A53. 1 indexed citations

Azarang, Arian, Michael J. Natoli, Paul A. Dayton, et al.. (2023). An open-source framework for synthetic post-dive Doppler ultrasound audio generation. PLoS ONE. 18(4). e0284922–e0284922. 1 indexed citations

Azarang, Arian, et al.. (2023). A fully automated algorithm for heart rate detection in post-dive precordial Doppler ultrasound. Undersea and Hyperbaric Medicine. 50(1). 45–55. 1 indexed citations

Azarang, Arian, Paul A. Dayton, Michael J. Natoli, et al.. (2022). Deep Learning-Based Venous Gas Emboli Grade Classification in Doppler Ultrasound Audio Recordings. IEEE Transactions on Biomedical Engineering. 70(5). 1436–1446. 2 indexed citations

Azarang, Arian, et al.. (2021). A Review of Deep Learning-Based Contactless Heart Rate Measurement Methods. Sensors. 21(11). 3719–3719. 66 indexed citations

Azarang, Arian & Nasser Kehtarnavaz. (2021). Image Fusion in Remote Sensing. 8 indexed citations

Azarang, Arian & Nasser Kehtarnavaz. (2021). Image Fusion in Remote Sensing: Conventional and Deep Learning Approaches. 10(1). 1–93. 4 indexed citations

10.

Azarang, Arian & Nasser Kehtarnavaz. (2021). Application of deep learning models in nonlinear detail map prediction in pansharpening. Journal of Computational Science. 54. 101431–101431. 3 indexed citations

11.

Azarang, Arian & Nasser Kehtarnavaz. (2020). A review of multi-objective deep learning speech denoising methods. Speech Communication. 122. 1–10.

12.

Azarang, Arian & Nasser Kehtarnavaz. (2020). Image fusion in remote sensing by multi-objective deep learning. International Journal of Remote Sensing. 41(24). 9507–9524. 18 indexed citations

13.

Azarang, Arian & Nasser Kehtarnavaz. (2020). Multispectral image fusion based on map estimation with improved detail. Remote Sensing Letters. 11(8). 797–806. 2 indexed citations

14.

Kehtarnavaz, Nasser, et al.. (2020). Smartphone-Based Real-Time Digital Signal Processing, Third Edition. 11(2). 1–174. 1 indexed citations

15.

Kehtarnavaz, Nasser, Forough Saki, A. Durán, & Arian Azarang. (2020). Anywhere-Anytime Signals and Systems Laboratory. 1 indexed citations

16.

Azarang, Arian, et al.. (2019). Convolutional Autoencoder-Based Multispectral Image Fusion. IEEE Access. 7. 35673–35683. 95 indexed citations

17.

Azarang, Arian, Mehdi Miri, Sadegh Kamaei, & Mohammad Hassan Asemani. (2017). Nonfragile Fuzzy Output Feedback Synchronization of a New Chaotic System: Design and Implementation. Journal of Computational and Nonlinear Dynamics. 13(1). 6 indexed citations

18.

Azarang, Arian & Hassan Ghassemian. (2017). An adaptive multispectral image fusion using particle swarm optimization. 1708–1712. 5 indexed citations

19.

Azarang, Arian & Hassan Ghassemian. (2017). Application of fractional-order differentiation in multispectral image fusion. Remote Sensing Letters. 9(1). 91–100. 32 indexed citations

20.

Azarang, Arian, Sadegh Kamaei, Mehdi Miri, & Mohammad Hassan Asemani. (2016). A new fractional-order chaotic system and its synchronization via Lyapunov and improved Laplacian-based method. Optik. 127(24). 11717–11731. 11 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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