Clemens Gühmann

1.2k total citations · 1 hit paper
89 papers, 783 citations indexed

About

Clemens Gühmann is a scholar working on Mechanical Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Clemens Gühmann has authored 89 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Mechanical Engineering, 43 papers in Control and Systems Engineering and 17 papers in Automotive Engineering. Recurrent topics in Clemens Gühmann's work include Gear and Bearing Dynamics Analysis (26 papers), Machine Fault Diagnosis Techniques (26 papers) and Hydraulic and Pneumatic Systems (16 papers). Clemens Gühmann is often cited by papers focused on Gear and Bearing Dynamics Analysis (26 papers), Machine Fault Diagnosis Techniques (26 papers) and Hydraulic and Pneumatic Systems (16 papers). Clemens Gühmann collaborates with scholars based in Germany, China and Denmark. Clemens Gühmann's co-authors include Diwang Ruan, Jianping Yan, Jin Wang, Stephan Rein, Frank H. P. Fitzek, Sven Hartmann, Daniele Rosato, Jinzhao Han, Yuxiang Chen and Sibylle Dieckerhoff and has published in prestigious journals such as Scientific Reports, IEEE Access and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Clemens Gühmann

80 papers receiving 758 citations

Hit Papers

CNN parameter design base... 2023 2026 2024 2023 50 100 150 200
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.

  1. CNN parameter design based on fault signal analysis and its application in bearing fault diagnosis
    2023 240 citations Diwang Ruan, Jianping Yan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clemens Gühmann Germany 14 440 348 143 104 92 89 783
Fangyi Wan China 16 368 0.8× 240 0.7× 141 1.0× 100 1.0× 140 1.5× 67 738
Abbas Harifi Iran 10 404 0.9× 255 0.7× 111 0.8× 61 0.6× 92 1.0× 19 668
Gang Yu China 13 619 1.4× 422 1.2× 196 1.4× 48 0.5× 45 0.5× 38 945
Myeongsu Kang South Korea 13 608 1.4× 409 1.2× 186 1.3× 80 0.8× 82 0.9× 32 807
Song Fu China 12 478 1.1× 205 0.6× 153 1.1× 157 1.5× 31 0.3× 36 759
Xiaoyang Liu China 12 651 1.5× 447 1.3× 224 1.6× 139 1.3× 44 0.5× 21 878
Jian Miao China 12 234 0.5× 203 0.6× 64 0.4× 89 0.9× 89 1.0× 32 614
Zhiwen Liu China 18 610 1.4× 461 1.3× 164 1.1× 47 0.5× 37 0.4× 45 965
Zuqiang Su China 14 458 1.0× 313 0.9× 141 1.0× 72 0.7× 52 0.6× 39 670

Countries citing papers authored by Clemens Gühmann

Since Specialization
Citations

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

Fields of papers citing papers by Clemens Gühmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clemens Gühmann

This figure shows the co-authorship network connecting the top 25 collaborators of Clemens Gühmann. A scholar is included among the top collaborators of Clemens Gühmann 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 Clemens Gühmann. Clemens Gühmann 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.
2.
Fan, Qingbin, et al.. (2025). Multi-expert fusion for state-of-health estimation of lithium-ion batteries. Scientific Reports. 15(1). 42058–42058.
3.
Gühmann, Clemens, et al.. (2024). FranSys—A Fast Non-Autoregressive Recurrent Neural Network for Multi-Step Ahead Prediction. IEEE Access. 12. 145130–145147.
4.
Gühmann, Clemens, et al.. (2024). An experimental study on the applicability of acoustic emission to detection of lift-off state in gas foil bearings. Forschung im Ingenieurwesen. 88(1). 1 indexed citations
5.
Ruan, Diwang, Jinzhao Han, Jianping Yan, & Clemens Gühmann. (2023). Light convolutional neural network by neural architecture search and model pruning for bearing fault diagnosis and remaining useful life prediction. Scientific Reports. 13(1). 5484–5484. 23 indexed citations
6.
Li, Zhaorong, Jiaoying Wang, Diwang Ruan, Jianping Yan, & Clemens Gühmann. (2023). Bearing Digital Twin Based on Response Model and Reinforcement Learning. Lubricants. 11(12). 502–502. 4 indexed citations
7.
Ruan, Diwang, et al.. (2023). Improvement of Generative Adversarial Network and Its Application in Bearing Fault Diagnosis: A Review. Lubricants. 11(2). 74–74. 36 indexed citations
8.
Ruan, Diwang, Clemens Gühmann, & Jianping Yan. (2023). A new solving method for ball bearing dynamics model based on optimization with nonlinear constraints: Contact angles as iterative variables. Journal of Manufacturing Processes. 106. 338–346. 2 indexed citations
9.
Wondrak, W., et al.. (2022). The Impact of an Overlaid Ripple Current on Battery Aging: The Development of the SiCWell Dataset. Batteries. 8(2). 11–11. 21 indexed citations
10.
Gühmann, Clemens, et al.. (2020). Wear monitoring of journal bearings with acoustic emission under different operating conditions. PHM Society European Conference. 5(1). 8–8. 3 indexed citations
11.
12.
Gühmann, Clemens, et al.. (2018). Temperature estimation of induction machines based on wireless sensor networks. Journal of sensors and sensor systems. 7(1). 267–280. 1 indexed citations
13.
Gühmann, Clemens, et al.. (2017). Differentiation of journal bearing friction states and friction intensities based on feature extraction methods applied on acoustic emission signals. tm - Technisches Messen. 84(s1). 42–47. 3 indexed citations
14.
Gühmann, Clemens, et al.. (2016). Simulation and Testing for Vehicle Technology. CERN Document Server (European Organization for Nuclear Research). 13 indexed citations
15.
16.
Gühmann, Clemens, et al.. (2014). Adaptive control of a boost-buck converter for thermoelectric generators. 31. 2121–2126. 1 indexed citations
17.
Gühmann, Clemens, et al.. (2013). Modeling and simulation of an automated manual transmission system. 44–51. 2 indexed citations
18.
Gühmann, Clemens, et al.. (2011). Geräuschgeregelter Dieselmotor. MTZ - Motortechnische Zeitschrift. 72(3). 226–233. 3 indexed citations
19.
Gühmann, Clemens, et al.. (2007). Automatisierter Closed-Loop-Testprozess für Steuergerätefunktionen. ATZelektronik. 2(1). 34–41. 2 indexed citations
20.
Rein, Stephan, Clemens Gühmann, & Frank H. P. Fitzek. (2006). Low-Complexity Compression of Short Messages. 123–132. 13 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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