Moslem Azamfar

1.5k total citations · 1 hit paper
13 papers, 1.1k citations indexed

About

Moslem Azamfar is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Mechanical Engineering. According to data from OpenAlex, Moslem Azamfar has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Control and Systems Engineering, 7 papers in Industrial and Manufacturing Engineering and 5 papers in Mechanical Engineering. Recurrent topics in Moslem Azamfar's work include Fault Detection and Control Systems (5 papers), Machine Fault Diagnosis Techniques (5 papers) and Digital Transformation in Industry (4 papers). Moslem Azamfar is often cited by papers focused on Fault Detection and Control Systems (5 papers), Machine Fault Diagnosis Techniques (5 papers) and Digital Transformation in Industry (4 papers). Moslem Azamfar collaborates with scholars based in United States, India and Iran. Moslem Azamfar's co-authors include Jay Lee, Jaskaran Singh, Iñaki Bravo-Imaz, Xiang Li, Shahin Siahpour, Baoyang Jiang, Jianshe Feng, Jun Ni, Fei Li and Behrad Bagheri and has published in prestigious journals such as Mechanical Systems and Signal Processing, Measurement Science and Technology and Mechanism and Machine Theory.

In The Last Decade

Moslem Azamfar

13 papers receiving 1.0k citations

Hit Papers

align trajectories

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.

Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis

2020 268 citations Moslem Azamfar, Jaskaran Singh et al. Mechanical Systems and Signal Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Moslem Azamfar United States	10	504	339	321	176	126	13	1.1k
Symone Gomes Soares Alcalá Brazil	9	388 0.8×	296 0.9×	141 0.4×	84 0.5×	52 0.4×	24	1.1k
João Basto Brazil	4	319 0.6×	284 0.8×	121 0.4×	79 0.4×	45 0.4×	5	880
Roberto da Piedade Francisco Brazil	4	321 0.6×	270 0.8×	115 0.4×	79 0.4×	48 0.4×	8	877
Erkki Jantunen Finland	16	545 1.1×	244 0.7×	780 2.4×	282 1.6×	68 0.5×	73	1.4k
Brian A. Weiss United States	15	374 0.7×	241 0.7×	174 0.5×	35 0.2×	53 0.4×	67	898
Tiago Zonta Brazil	3	254 0.5×	310 0.9×	89 0.3×	58 0.3×	42 0.3×	4	820
Aitor Arnáiz Spain	14	258 0.5×	111 0.3×	169 0.5×	53 0.3×	41 0.3×	52	643
Masoud Ghaffari United States	6	934 1.9×	174 0.5×	431 1.3×	297 1.7×	25 0.2×	18	1.3k
Éric Levrat France	16	352 0.7×	219 0.6×	91 0.3×	68 0.4×	43 0.3×	69	1.3k
Kevin Leahy Ireland	12	298 0.6×	275 0.8×	87 0.3×	36 0.2×	74 0.6×	17	828

Countries citing papers authored by Moslem Azamfar

Since Specialization

Citations

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

Fields of papers citing papers by Moslem Azamfar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moslem Azamfar

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

All Works

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13 of 13 papers shown

Lee, Jay, Moslem Azamfar, & Behrad Bagheri. (2021). A unified digital twin framework for shop floor design in industry 4.0 manufacturing systems. Manufacturing Letters. 27. 87–91. 35 indexed citations

Azamfar, Moslem, Xiang Li, & Jay Lee. (2020). Deep Learning-Based Domain Adaptation Method for Fault Diagnosis in Semiconductor Manufacturing. IEEE Transactions on Semiconductor Manufacturing. 33(3). 445–453. 60 indexed citations

Singh, Jaskaran, Moslem Azamfar, Fei Li, & Jay Lee. (2020). A systematic review of machine learning algorithms for prognostics and health management of rolling element bearings: fundamentals, concepts and applications. Measurement Science and Technology. 32(1). 12001–12001. 67 indexed citations

Azamfar, Moslem, Xiang Li, & Jay Lee. (2020). Intelligent ball screw fault diagnosis using a deep domain adaptation methodology. Mechanism and Machine Theory. 151. 103932–103932. 78 indexed citations

Azamfar, Moslem, Jaskaran Singh, Iñaki Bravo-Imaz, & Jay Lee. (2020). Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis. Mechanical Systems and Signal Processing. 144. 106861–106861. 268 indexed citations breakdown →

Lee, Jay, Jun Ni, Jaskaran Singh, et al.. (2020). Intelligent Maintenance Systems and Predictive Manufacturing. Journal of Manufacturing Science and Engineering. 142(11). 105 indexed citations

Azamfar, Moslem, Jaskaran Singh, Xiang Li, & Jay Lee. (2020). Cross-domain gearbox diagnostics under variable working conditions with deep convolutional transfer learning. Journal of Vibration and Control. 27(7-8). 854–864. 29 indexed citations

Lee, Jay, Moslem Azamfar, Jaskaran Singh, & Shahin Siahpour. (2020). Integration of digital twin and deep learning in cyber‐physical systems: towards smart manufacturing. 2(1). 34–36. 158 indexed citations

Singh, Jaskaran, et al.. (2019). Deep learning-based cross-domain adaptation for gearbox fault diagnosis under variable speed conditions. Measurement Science and Technology. 31(5). 55601–55601. 66 indexed citations

10.

Singh, Jaskaran, et al.. (2019). Industrial AI:is it manufacturing’s guiding light?. 2 indexed citations

11.

Lee, Jay, Moslem Azamfar, & Jaskaran Singh. (2019). A blockchain enabled Cyber-Physical System architecture for Industry 4.0 manufacturing systems. Manufacturing Letters. 20. 34–39. 175 indexed citations

12.

Azamfar, Moslem, et al.. (2019). Detection and diagnosis of bottle capping failures based on motor current signature analysis. Procedia Manufacturing. 34. 840–846. 9 indexed citations

13.

Azamfar, Moslem & Amir H.D. Markazi. (2016). Simple Formulae for Control of Industrial Time Delay Systems. Latin American Journal of Solids and Structures. 13(14). 2763–2786. 3 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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