Aryan Mobiny

612 total citations
9 papers, 280 citations indexed

About

Aryan Mobiny is a scholar working on Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Epidemiology. According to data from OpenAlex, Aryan Mobiny has authored 9 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pulmonary and Respiratory Medicine, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Epidemiology. Recurrent topics in Aryan Mobiny's work include Advanced Neural Network Applications (2 papers), Cell Image Analysis Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Aryan Mobiny is often cited by papers focused on Advanced Neural Network Applications (2 papers), Cell Image Analysis Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Aryan Mobiny collaborates with scholars based in United States. Aryan Mobiny's co-authors include Hien Van Nguyen, Badrinath Roysam, Gangbing Song, Furui Wang, Hengyang Lu, Navin Varadarajan, Pietro Antonio Cicalese, Dragan Maric, Andrea Sedlock and Chandra Mohan and has published in prestigious journals such as Nature Communications, IEEE Transactions on Medical Imaging and Journal of Neural Engineering.

In The Last Decade

Aryan Mobiny

9 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aryan Mobiny United States	8	81	45	45	36	34	9	280
Xiaoli Zhou China	11	85 1.0×	17 0.4×	110 2.4×	13 0.4×	65 1.9×	39	363
Shan Cong China	11	113 1.4×	17 0.4×	35 0.8×	10 0.3×	22 0.6×	65	353
Christian Leibig Germany	7	270 3.3×	44 1.0×	206 4.6×	15 0.4×	44 1.3×	10	483
Amjad Khan Malaysia	10	97 1.2×	21 0.5×	66 1.5×	16 0.4×	153 4.5×	20	308
Alexandr A. Kalinin United States	10	98 1.2×	19 0.4×	93 2.1×	25 0.7×	74 2.2×	16	384
Nandhini Santhanam Germany	3	175 2.2×	25 0.6×	205 4.6×	18 0.5×	79 2.3×	4	519
Robert Van Uitert United States	9	34 0.4×	42 0.9×	116 2.6×	25 0.7×	157 4.6×	16	352
Fátima N. S. de Medeiros Brazil	12	211 2.6×	10 0.2×	185 4.1×	42 1.2×	203 6.0×	23	502
Rayan Krishnan United States	3	157 1.9×	12 0.3×	123 2.7×	21 0.6×	64 1.9×	3	385
O. Basset France	10	52 0.6×	14 0.3×	206 4.6×	18 0.5×	86 2.5×	20	406

Countries citing papers authored by Aryan Mobiny

Since Specialization

Citations

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

Fields of papers citing papers by Aryan Mobiny

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aryan Mobiny

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

All Works

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9 of 9 papers shown

1.

Maric, Dragan, et al.. (2021). Whole-brain tissue mapping toolkit using large-scale highly multiplexed immunofluorescence imaging and deep neural networks. Nature Communications. 12(1). 1550–1550. 51 indexed citations

2.

Mobiny, Aryan, Pietro Antonio Cicalese, Naveen Garg, et al.. (2021). Memory-Augmented Capsule Network for Adaptable Lung Nodule Classification. IEEE Transactions on Medical Imaging. 40(10). 2869–2879. 21 indexed citations

3.

Mobiny, Aryan, Pietro Antonio Cicalese, & Hien Van Nguyen. (2021). Trans-Caps: Transformer Capsule Networks with Self-attention Routing. 1 indexed citations

4.

Cicalese, Pietro Antonio, et al.. (2020). Kidney Level Lupus Nephritis Classification Using Uncertainty Guided Bayesian Convolutional Neural Networks. IEEE Journal of Biomedical and Health Informatics. 25(2). 315–324. 22 indexed citations

5.

Pirayesh, Hossein, et al.. (2020). LB-SciFi: Online Learning-Based Channel Feedback for MU-MIMO in Wireless LANs. 1–11. 15 indexed citations

6.

Wang, Furui, Aryan Mobiny, Hien Van Nguyen, & Gangbing Song. (2020). If structure can exclaim: a novel robotic-assisted percussion method for spatial bolt-ball joint looseness detection. Structural Health Monitoring. 20(4). 1597–1608. 40 indexed citations

7.

Mobiny, Aryan, Hengyang Lu, Hien Van Nguyen, Badrinath Roysam, & Navin Varadarajan. (2019). Automated Classification of Apoptosis in Phase Contrast Microscopy Using Capsule Network. IEEE Transactions on Medical Imaging. 39(1). 1–10. 46 indexed citations

8.

Mobiny, Aryan, et al.. (2019). Assaying neural activity of children during video game play in public spaces: a deep learning approach. Journal of Neural Engineering. 16(3). 36028–36028. 16 indexed citations

9.

Mobiny, Aryan, et al.. (2019). Risk-Aware Machine Learning Classifier for Skin Lesion Diagnosis. Journal of Clinical Medicine. 8(8). 1241–1241. 68 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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