Hasan Tercan

806 total citations · 1 hit paper
23 papers, 482 citations indexed

About

Hasan Tercan is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Hasan Tercan has authored 23 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Industrial and Manufacturing Engineering, 7 papers in Mechanical Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Hasan Tercan's work include Manufacturing Process and Optimization (6 papers), Industrial Vision Systems and Defect Detection (6 papers) and Advanced machining processes and optimization (5 papers). Hasan Tercan is often cited by papers focused on Manufacturing Process and Optimization (6 papers), Industrial Vision Systems and Defect Detection (6 papers) and Advanced machining processes and optimization (5 papers). Hasan Tercan collaborates with scholars based in Germany and United States. Hasan Tercan's co-authors include Tobias Meisen, Thomas Thiele, Christian Hopmann, Sabina Jeschke, Christian Büscher, Richard Meyes, Christian Brecher, Urs Eppelt, Benjamin Maschler and Michael Weyrich and has published in prestigious journals such as Journal of Intelligent Manufacturing, Autonomous Agents and Multi-Agent Systems and Procedia Manufacturing.

In The Last Decade

Hasan Tercan

19 papers receiving 459 citations

Hit Papers

Machine learning and deep learning based predictive quali... 2022 2026 2023 2024 2022 50 100 150
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. Machine learning and deep learning based predictive quality in manufacturing: a systematic review
    2022 162 citations Hasan Tercan, Tobias Meisen Journal of Intelligent Manufacturing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hasan Tercan Germany 10 189 189 107 78 46 23 482
Vincent Boyer France 15 257 1.4× 104 0.6× 60 0.6× 37 0.5× 29 0.6× 36 526
Shahin Siahpour United States 9 146 0.8× 115 0.6× 43 0.4× 121 1.6× 54 1.2× 17 424
Giovanna Martínez-Arellano United Kingdom 8 213 1.1× 313 1.7× 56 0.5× 58 0.7× 172 3.7× 25 485
Germán Terrazas United Kingdom 10 217 1.1× 320 1.7× 43 0.4× 51 0.7× 165 3.6× 19 489
A. Anglani Italy 9 165 0.9× 90 0.5× 44 0.4× 89 1.1× 17 0.4× 26 394
Hongbing Yang China 14 192 1.0× 142 0.8× 39 0.4× 76 1.0× 120 2.6× 35 582
Sadek Crisóstomo Absi Alfaro Brazil 16 130 0.7× 489 2.6× 27 0.3× 80 1.0× 71 1.5× 63 702
Lam M. Nguyen United States 10 217 1.1× 134 0.7× 107 1.0× 31 0.4× 42 0.9× 31 533
P. Broomhead United Kingdom 11 154 0.8× 145 0.8× 121 1.1× 27 0.3× 24 0.5× 18 425

Countries citing papers authored by Hasan Tercan

Since Specialization
Citations

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

Fields of papers citing papers by Hasan Tercan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hasan Tercan

This figure shows the co-authorship network connecting the top 25 collaborators of Hasan Tercan. A scholar is included among the top collaborators of Hasan Tercan 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 Hasan Tercan. Hasan Tercan 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
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Tercan, Hasan, et al.. (2025). Emergent language: a survey and taxonomy. Autonomous Agents and Multi-Agent Systems. 39(1). 2 indexed citations
3.
Bergmann, Dirk, et al.. (2025). AI-driven Configuration for Filling Systems using Generative Adversarial Networks. Procedia CIRP. 134. 921–926.
4.
Voets, J. P., et al.. (2025). Out of Distribution Detection for Efficient Continual Learning in Quality Prediction for Arc Welding. arXiv (Cornell University). 5699–5706.
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Su, Yu, et al.. (2024). CenterPoint Transformer for BEV Object Detection with Automotive Radar. 4451–4460. 1 indexed citations
7.
Tercan, Hasan & Tobias Meisen. (2023). Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning. 4914–4923. 2 indexed citations
8.
Tercan, Hasan, et al.. (2023). Towards a Deep Learning-based Online Quality Prediction System for Welding Processes. Procedia CIRP. 120. 1047–1052. 9 indexed citations
9.
Maschler, Benjamin, et al.. (2022). Insights and Example Use Cases on Industrial Transfer Learning. Procedia CIRP. 107. 511–516. 13 indexed citations
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Tercan, Hasan, et al.. (2021). Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer. Journal of Intelligent Manufacturing. 33(1). 283–292. 49 indexed citations
13.
Tercan, Hasan, et al.. (2021). Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application. 610–617. 7 indexed citations
14.
Hopmann, Christian, et al.. (2019). Combined learning processes for injection moulding based on simulation and experimental data. AIP conference proceedings. 2139. 30003–30003. 10 indexed citations
15.
Tercan, Hasan, et al.. (2018). Transfer-Learning: Bridging the Gap between Real and Simulation Data for Machine Learning in Injection Molding. Procedia CIRP. 72. 185–190. 83 indexed citations
16.
Meyes, Richard, Hasan Tercan, Thomas Thiele, et al.. (2018). Interdisciplinary Data Driven Production Process Analysis for the Internet of Production. Procedia Manufacturing. 26. 1065–1076. 13 indexed citations
17.
Tercan, Hasan, et al.. (2017). Improving the laser cutting process design by machine learning techniques. Production Engineering. 11(2). 195–203. 27 indexed citations
18.
Meyes, Richard, Hasan Tercan, Thomas Thiele, et al.. (2017). Motion Planning for Industrial Robots using Reinforcement Learning. Procedia CIRP. 63. 107–112. 54 indexed citations
19.
Tercan, Hasan, et al.. (2017). Advanced data enrichment and data analysis in manufacturing industry by an example of laser drilling process. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–5. 2 indexed citations
20.
Tercan, Hasan, et al.. (2016). Use of Classification Techniques to Design Laser Cutting Processes. Procedia CIRP. 52. 292–297. 10 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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