Tinghui Ouyang

1.8k total citations
50 papers, 1.4k citations indexed

About

Tinghui Ouyang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Tinghui Ouyang has authored 50 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 24 papers in Electrical and Electronic Engineering and 8 papers in Control and Systems Engineering. Recurrent topics in Tinghui Ouyang's work include Energy Load and Power Forecasting (20 papers), Rough Sets and Fuzzy Logic (8 papers) and Machine Learning and ELM (7 papers). Tinghui Ouyang is often cited by papers focused on Energy Load and Power Forecasting (20 papers), Rough Sets and Fuzzy Logic (8 papers) and Machine Learning and ELM (7 papers). Tinghui Ouyang collaborates with scholars based in China, Japan and United States. Tinghui Ouyang's co-authors include Yusen He, Liang Qin, Andrew Kusiak, Zhenhao Tang, Xiaoming Zha, Jing Yan, Nick J. Pizzi, Witold Pedrycz, Stephen Baek and Zhiyu Sun and has published in prestigious journals such as Expert Systems with Applications, Energy Conversion and Management and IEEE Access.

In The Last Decade

Tinghui Ouyang

49 papers receiving 1.3k citations

Peers

Tinghui Ouyang
Wenlong Liao China
Mahdi Khodayar United States
Haiyang Zheng United States
Huan Long China
Wentao Ma China
Hui Jiang China
Zhongda Tian China
Ahmed Shaharyar Khwaja Canada
Hao Yin China
Na Zhang China
Wenlong Liao China
Tinghui Ouyang
Citations per year, relative to Tinghui Ouyang Tinghui Ouyang (= 1×) peers Wenlong Liao

Countries citing papers authored by Tinghui Ouyang

Since Specialization
Citations

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

Fields of papers citing papers by Tinghui Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tinghui Ouyang

This figure shows the co-authorship network connecting the top 25 collaborators of Tinghui Ouyang. A scholar is included among the top collaborators of Tinghui Ouyang 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 Tinghui Ouyang. Tinghui Ouyang 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.
Ouyang, Tinghui, et al.. (2025). Textual out-of-distribution (OOD) detection for LLM quality assurance. Knowledge-Based Systems. 310. 112975–112975. 1 indexed citations
2.
Ouyang, Tinghui, et al.. (2025). Direction-aware convolutional autoencoder based on positional encoding for one-dimensional anomaly detection. Information Sciences. 716. 122227–122227.
3.
Tang, Zhenhao, et al.. (2024). Theory-guided deep neural network for boiler 3-D NOx concentration distribution prediction. Energy. 299. 131500–131500. 24 indexed citations
4.
Xue, Yu, et al.. (2024). Neural architecture search via similarity adaptive guidance. Applied Soft Computing. 162. 111821–111821. 2 indexed citations
5.
Ouyang, Tinghui & Xun Shen. (2022). Online structural clustering based on DBSCAN extension with granular descriptors. Information Sciences. 607. 688–704. 23 indexed citations
6.
Zhang, Xinhui, Xun Shen, & Tinghui Ouyang. (2022). Extension of DBSCAN in Online Clustering: An Approach Based on Three-Layer Granular Models. Applied Sciences. 12(19). 9402–9402. 10 indexed citations
7.
8.
Ouyang, Tinghui, et al.. (2022). Quality assurance study with mismatched data in sentiment analysis. 442–446. 2 indexed citations
9.
Ouyang, Tinghui, et al.. (2021). AI robustness analysis with consideration of corner cases. 29–36. 6 indexed citations
10.
Ouyang, Tinghui, et al.. (2021). Improved Surprise Adequacy Tools for Corner Case Data Description and Detection. Applied Sciences. 11(15). 6826–6826. 7 indexed citations
11.
Ouyang, Tinghui, Chongwu Wang, Zhangjun Yu, et al.. (2020). NOx Measurements in Vehicle Exhaust Using Advanced Deep ELM Networks. IEEE Transactions on Instrumentation and Measurement. 70. 1–10. 23 indexed citations
12.
Shen, Xun, Xingguo Zhang, Tinghui Ouyang, Yuanchao Li, & Pongsathorn Raksincharoensak. (2020). Cooperative Comfortable-Driving at Signalized Intersections for Connected and Automated Vehicles. IEEE Robotics and Automation Letters. 5(4). 6247–6254. 37 indexed citations
13.
Ouyang, Tinghui, Witold Pedrycz, Orion F. Reyes-Galaviz, & Nick J. Pizzi. (2019). Granular Description of Data Structures: A Two-Phase Design. IEEE Transactions on Cybernetics. 51(4). 1902–1912. 35 indexed citations
14.
Yan, Jing & Tinghui Ouyang. (2018). Advanced wind power prediction based on data-driven error correction. Energy Conversion and Management. 180. 302–311. 88 indexed citations
15.
Ouyang, Tinghui, Andrew Kusiak, & Yusen He. (2017). Predictive model of yaw error in a wind turbine. Energy. 123. 119–130. 51 indexed citations
16.
He, Yusen, Andrew Kusiak, Tinghui Ouyang, & Wei Teng. (2017). Data-driven modeling of truck engine exhaust valve failures: A case study. Journal of Mechanical Science and Technology. 31(6). 2747–2757. 22 indexed citations
17.
Ouyang, Tinghui, et al.. (2017). Model of selecting prediction window in ramps forecasting. Renewable Energy. 108. 98–107. 23 indexed citations
18.
Ouyang, Tinghui, et al.. (2016). Medium-or Long-Term Wind Power Prediction With Combined Models of Meteorological Multi-Variables. 40(3). 852. 5 indexed citations
19.
Ouyang, Tinghui, et al.. (2016). Short-term wind power prediction based on kernel function switching. 36(9). 86. 3 indexed citations
20.
Ouyang, Tinghui, Andrew Kusiak, & Yusen He. (2016). Modeling wind-turbine power curve: A data partitioning and mining approach. Renewable Energy. 102. 1–8. 154 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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