Alexander Jung

1.4k total citations
73 papers, 747 citations indexed

About

Alexander Jung is a scholar working on Artificial Intelligence, Computational Mechanics and Statistics and Probability. According to data from OpenAlex, Alexander Jung has authored 73 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 18 papers in Computational Mechanics and 17 papers in Statistics and Probability. Recurrent topics in Alexander Jung's work include Sparse and Compressive Sensing Techniques (18 papers), Statistical Methods and Inference (17 papers) and Blind Source Separation Techniques (9 papers). Alexander Jung is often cited by papers focused on Sparse and Compressive Sensing Techniques (18 papers), Statistical Methods and Inference (17 papers) and Blind Source Separation Techniques (9 papers). Alexander Jung collaborates with scholars based in Finland, Austria and Germany. Alexander Jung's co-authors include Jens Smiatek, Erich Bluhmki, Franz Hlawatsch, Yonina C. Eldar, Georg Tauböck, Gerald Matz, Norbert Goertz, Li Liu, Pedro H. J. Nardelli and Zvika Ben‐Haim and has published in prestigious journals such as Advanced Materials, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Alexander Jung

69 papers receiving 720 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Jung Finland 15 235 110 108 97 97 73 747
Aurélie Lozano United States 16 323 1.4× 202 1.8× 126 1.2× 105 1.1× 35 0.4× 52 857
Olga Valenzuela Spain 18 462 2.0× 133 1.2× 45 0.4× 131 1.4× 157 1.6× 84 1.1k
Zongben Xu China 7 199 0.8× 55 0.5× 244 2.3× 48 0.5× 91 0.9× 14 732
Daniel Hernández-Lobato Spain 18 639 2.7× 49 0.4× 58 0.5× 60 0.6× 82 0.8× 43 1.1k
Masahiro Tanaka Japan 15 263 1.1× 82 0.7× 52 0.5× 125 1.3× 122 1.3× 160 986
Ling Jian China 18 373 1.6× 65 0.6× 33 0.3× 209 2.2× 62 0.6× 78 1.1k
Fernando Rojas Spain 15 353 1.5× 122 1.1× 19 0.2× 107 1.1× 125 1.3× 68 866
Zhongshi He China 21 432 1.8× 142 1.3× 41 0.4× 85 0.9× 42 0.4× 96 1.3k
Bin Gu China 8 414 1.8× 47 0.4× 56 0.5× 115 1.2× 129 1.3× 10 1000

Countries citing papers authored by Alexander Jung

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Jung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Jung

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Jung. A scholar is included among the top collaborators of Alexander Jung 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 Alexander Jung. Alexander Jung 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.
Jung, Alexander, et al.. (2024). Nanomechanical Crystalline AlN Resonators with High Quality Factors for Quantum Optoelectromechanics. Advanced Materials. 36(44). e2403155–e2403155. 2 indexed citations
2.
Jung, Alexander, et al.. (2024). Thickness dependence of the mechanical properties of piezoelectric high-Q m nanomechanical resonators made from aluminium nitride. SHILAP Revista de lepidopterología. 4(4). 46301–46301.
3.
Jung, Alexander, et al.. (2024). Analyzing image data to detect a CT system’s error state and identify the corresponding root cause. SHILAP Revista de lepidopterología. 29(3). 1 indexed citations
4.
Jung, Alexander, et al.. (2024). From intangible to tangible: The role of big data and machine learning in walkability studies. Computers Environment and Urban Systems. 109. 102087–102087. 13 indexed citations
5.
Jung, Alexander. (2024). Analysis of Total Variation Minimization for Clustered Federated Learning. 1027–1031. 1 indexed citations
6.
7.
Walther, Cornelia, Anja Friedrich, Alexander Jung, et al.. (2023). Solubilization of inclusion bodies: insights from explainable machine learning approaches. SHILAP Revista de lepidopterología. 5. 3 indexed citations
8.
Narayanan, Arun, Gustavo Almeida, Yu Tian, et al.. (2023). A perspective on the enabling technologies of explainable AI-based industrial packetized energy management. iScience. 26(12). 108415–108415. 6 indexed citations
9.
Zhang, Linli, et al.. (2023). Explainable empirical risk minimization. Neural Computing and Applications. 36(8). 3983–3996. 1 indexed citations
10.
Jung, Alexander, et al.. (2023). Automated 3D Defect Detectionm based on Simulated Reference. e-Journal of Nondestructive Testing. 28(3). 2 indexed citations
11.
Abdar, Moloud, Leonardo Rundo, Petia Radeva, et al.. (2022). Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification. IEEE Transactions on Industrial Informatics. 19(1). 274–285. 47 indexed citations
12.
Jung, Alexander, et al.. (2021). Predicting power outages caused by extratropical storms. Natural hazards and earth system sciences. 21(2). 607–627. 23 indexed citations
13.
Smiatek, Jens, Alexander Jung, & Erich Bluhmki. (2021). Validation Is Not Verification: Precise Terminology and Scientific Methods in Bioprocess Modeling. Trends in biotechnology. 39(11). 1117–1119. 9 indexed citations
14.
Knape, Matthias J., Virginia Mazzini, Alexander Jung, et al.. (2020). Artificial neural networks for the prediction of solvation energies based on experimental and computational data. Physical Chemistry Chemical Physics. 22(42). 24359–24364. 15 indexed citations
15.
Smiatek, Jens, Alexander Jung, & Erich Bluhmki. (2020). Towards a Digital Bioprocess Replica: Computational Approaches in Biopharmaceutical Development and Manufacturing. Trends in biotechnology. 38(10). 1141–1153. 69 indexed citations
16.
Jung, Alexander, et al.. (2019). Automating Root Cause Analysis via Machine Learning in Agile Software Testing Environments. Aaltodoc (Aalto University). 379–390. 14 indexed citations
17.
Ambos, H.Dieter, et al.. (2019). Outlier Detection from Non-Smooth Sensor Data. Aaltodoc (Aalto University). 1–5. 1 indexed citations
18.
Liu, Zhen, Li Liu, Alexander Jung, et al.. (2019). Sparse Subspace Clustering for Evolving Data Streams. University of Oulu Repository (University of Oulu). 7455–7459. 7 indexed citations
19.
Jung, Alexander. (2018). A Gentle Introduction to Supervised Machine Learning.. arXiv (Cornell University).
20.
Jung, Alexander, et al.. (2018). PREDICTIVE MAINTENANCE OF PHOTOVOLTAIC PANELS VIA DEEP LEARNING. 66–70. 48 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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