Oguzhan Dogru

467 total citations
14 papers, 294 citations indexed

About

Oguzhan Dogru is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Oguzhan Dogru has authored 14 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 8 papers in Artificial Intelligence and 2 papers in Computational Theory and Mathematics. Recurrent topics in Oguzhan Dogru's work include Fault Detection and Control Systems (7 papers), Advanced Control Systems Optimization (4 papers) and Extremum Seeking Control Systems (3 papers). Oguzhan Dogru is often cited by papers focused on Fault Detection and Control Systems (7 papers), Advanced Control Systems Optimization (4 papers) and Extremum Seeking Control Systems (3 papers). Oguzhan Dogru collaborates with scholars based in Canada, China and India. Oguzhan Dogru's co-authors include Biao Huang, Kirubakaran Velswamy, Hongtian Chen, Fadi Ibrahim, Zheng Chai, Shu Xu, Mark Nixon, Junyao Xie, Chao Cheng and Xunyuan Yin and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Oguzhan Dogru

13 papers receiving 287 citations

Peers

Countries citing papers authored by Oguzhan Dogru

Since Specialization

Citations

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

Fields of papers citing papers by Oguzhan Dogru

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oguzhan Dogru

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

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Reinforcement learning-based autonomous control of bench-scale primary separation vessel 2025 ·Computers & Chemical Engineering ·Oguzhan Dogru, (unknown), Biao Huang	0
2	Reinforcement Learning in Process Industries: Review and Perspective 2024 ·IEEE/CAA Journal of Automatica Sinica ·Oguzhan Dogru, Junyao Xie, (unknown), (unknown), (unknown), Hongtian Chen, (unknown), Fadi Ibrahim, Biao Huang	27
3	Skew Filtering for Online State Estimation and Control 2023 ·IEEE Transactions on Industrial Informatics ·Oguzhan Dogru, (unknown), Biao Huang	1
4	Reinforcement learning for soft sensor design through autonomous cross-domain data selection 2023 ·Computers & Chemical Engineering ·Junyao Xie, Oguzhan Dogru, Biao Huang, (unknown), (unknown)	9
5	Reinforcement Learning Approach to Autonomous PID Tuning 2022 ·2022 American Control Conference (ACC) ·Oguzhan Dogru, Kirubakaran Velswamy, Fadi Ibrahim, (unknown), (unknown), Biao Huang, Shu Xu, Mark Nixon, (unknown)	2
6	Distributed Process Monitoring for Multiagent Systems Through Cognitive Learning 2022 ·IEEE Transactions on Cognitive and Developmental Systems ·Hongtian Chen, Oguzhan Dogru, (unknown), Xunyuan Yin, Biao Huang	6
7	A Segmental Autoencoder-based Fault Detection for Nonlinear Dynamic Systems: An Interpretable Learning Framework 2022 ·Hongtian Chen, Zhuofu Pan, Oguzhan Dogru, Yalin Wang, Biao Huang	1
8	Performance Evaluation of Few-shot Learning-based System Identification 2022 ·Hongtian Chen, Chao Cheng, Oguzhan Dogru, Biao Huang	4
9	Reinforcement learning approach to autonomous PID tuning 2022 ·Computers & Chemical Engineering ·Oguzhan Dogru, Kirubakaran Velswamy, Fadi Ibrahim, (unknown), (unknown), Biao Huang, Shu Xu, Mark Nixon, (unknown)	87
10	Actor–Critic Reinforcement Learning and Application in Developing Computer-Vision-Based Interface Tracking 2021 ·Engineering ·Oguzhan Dogru, Kirubakaran Velswamy, Biao Huang	22
11	Data-Driven Designs of Fault Detection Systems via Neural Network-Aided Learning 2021 ·IEEE Transactions on Neural Networks and Learning Systems ·Hongtian Chen, Zheng Chai, Oguzhan Dogru, (unknown), Biao Huang	87
12	Online reinforcement learning for a continuous space system with experimental validation 2021 ·Journal of Process Control ·Oguzhan Dogru, (unknown), Kirubakaran Velswamy, Fadi Ibrahim, Biao Huang	38
13	Reinforcement Learning With Constrained Uncertain Reward Function Through Particle Filtering 2021 ·IEEE Transactions on Industrial Electronics ·Oguzhan Dogru, (unknown), Biao Huang	8
14	Modeling Thermal Part of Sulfur Recovery Unit and Simulation Based Analysis of Effects of Air Temperature on Entire Plant 2018 ·Oguzhan Dogru, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Erdoğan Alper	2

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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