Hongyan Yang

2.7k total citations · 1 hit paper
94 papers, 2.1k citations indexed

About

Hongyan Yang is a scholar working on Control and Systems Engineering, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Hongyan Yang has authored 94 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Control and Systems Engineering, 25 papers in Artificial Intelligence and 14 papers in Molecular Biology. Recurrent topics in Hongyan Yang's work include Fault Detection and Control Systems (20 papers), Stability and Control of Uncertain Systems (12 papers) and Adaptive Control of Nonlinear Systems (11 papers). Hongyan Yang is often cited by papers focused on Fault Detection and Control Systems (20 papers), Stability and Control of Uncertain Systems (12 papers) and Adaptive Control of Nonlinear Systems (11 papers). Hongyan Yang collaborates with scholars based in China, Norway and Türkiye. Hongyan Yang's co-authors include Shen Yin, Okyay Kaynak, Yuchen Jiang, Peng Shi, Honggui Han, Huanqing Wang, Hamid Reza Karimi, Peter Liu, Junfei Qiao and Huijun Gao and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Hongyan Yang

84 papers receiving 2.1k citations

Hit Papers

align trajectories

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.

Adaptive Fuzzy Control of Strict-Feedback Nonlinear Time-Delay Systems With Unmodeled Dynamics

2015 269 citations Shen Yin, Hongyan Yang et al. IEEE Transactions on Cybernetics profile →

Peers

Hongyan Yang

CSE

CNC

AI

CTM

EEE

Tomohisa Hayakawa Japan

Dewei Li China

David Muñoz de la Peña Spain

Daniel Limón Spain

Wei Dai China

Yupu Yang China

Jürgen Pannek Germany

Ernesto Kofman Argentina

Alberto Leva Italy

Panagiotis Patrinos Belgium

Tomohisa Hayakawa Japan

Hongyan Yang

2.1k ×1.4

CSE

964 ×2.2

CNC

196 ×0.6

AI

203 ×0.7

CTM

245 ×1.5

EEE

Citations per year, relative to Hongyan Yang Hongyan Yang (= 1×) peers Tomohisa Hayakawa

Countries citing papers authored by Hongyan Yang

Since Specialization

Citations

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

Fields of papers citing papers by Hongyan Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongyan Yang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Han, Honggui, et al.. (2025). Self-Organizing Stacked Type-2 Fuzzy Neural Network With Rule Generalization. IEEE Transactions on Neural Networks and Learning Systems. 36(6). 10128–10142.

2.

Han, Honggui, Yaqian Zhao, Xiaolong Wu, & Hongyan Yang. (2025). Intelligent feature extraction for anaerobic/anoxic/aerobic process in municipal wastewater treatment plant. Journal of Environmental Sciences. 161. 360–371.

3.

Yang, Hongyan, Xiaolong Wu, Honggui Han, & Shen Yin. (2024). Observer-based self-triggered FTC for Markovian jump networked systems. Automatica. 163. 111602–111602. 5 indexed citations

4.

Han, Honggui, Mengmeng Li, Xiaolong Wu, Hongyan Yang, & Junfei Qiao. (2024). Filter transfer learning algorithm for nonlinear systems modeling with heterogeneous features. Expert Systems with Applications. 260. 125445–125445. 1 indexed citations

5.

Han, Honggui, et al.. (2024). Self-organizing broad network with frequency-domain analysis. Engineering Applications of Artificial Intelligence. 137. 109155–109155.

6.

Wu, Xiaolong, et al.. (2024). Multimodal Learning-Based Interval Type-2 Fuzzy Neural Network. IEEE Transactions on Fuzzy Systems. 32(11). 6409–6423. 1 indexed citations

7.

Wu, Xiaolong, et al.. (2024). Data-Knowledge-Driven Inductive Learning Method for Modeling Wastewater Treatment Processes. IEEE Transactions on Systems Man and Cybernetics Systems. 55(1). 465–479. 1 indexed citations

8.

Han, Honggui, et al.. (2024). Ensemble filter-transfer learning algorithm. Pattern Recognition. 154. 110581–110581. 1 indexed citations

9.

Han, Honggui, Yaqian Zhao, Xiaolong Wu, & Hongyan Yang. (2024). Multi-timescale feature extraction method of wastewater treatment process based on adaptive entropy. Chinese Journal of Chemical Engineering. 76. 264–271. 2 indexed citations

10.

Li, Fangyu, Yuanjun Laili, Yihuai Lou, et al.. (2023). Towards big data driven construction industry. Journal of Industrial Information Integration. 35. 100483–100483. 48 indexed citations

11.

Han, Honggui, et al.. (2023). Multi-Objective Integrated Robust Optimal Control for Wastewater Treatment Processes. IEEE Transactions on Automation Science and Engineering. 21(2). 1380–1391. 15 indexed citations

12.

Han, Honggui, et al.. (2023). Antiforgetting Incremental Learning Algorithm for Interval Type-2 Fuzzy Neural Network. IEEE Transactions on Fuzzy Systems. 32(4). 1938–1950. 4 indexed citations

13.

Han, Honggui, et al.. (2023). Multitask Particle Swarm Optimization With Dynamic Transformation. IEEE Transactions on Emerging Topics in Computing. 11(3). 749–763. 5 indexed citations

14.

Han, Honggui, et al.. (2023). Robust Modeling for Industrial Process Based on Frequency Reconstructed Fuzzy Neural Network. IEEE Transactions on Fuzzy Systems. 32(1). 102–115. 5 indexed citations

15.

Han, Honggui, et al.. (2022). Nonsingular Gradient Descent Algorithm for Interval Type-2 Fuzzy Neural Network. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 8176–8189. 2 indexed citations

16.

Sun, Haoyuan, Hongyan Yang, Honggui Han, Jian Sun, & Junfei Qiao. (2022). Consensus of MASs With Input and Communication Delays by Predictor-Based Protocol. IEEE Transactions on Cybernetics. 53(11). 7126–7135. 18 indexed citations

17.

Li, Jiaguo, et al.. (2015). The Study of Object-oriented Water Body Extraction Method Based on High Resolution RS Image. Bulletin of Surveying and Mapping. 81. 4 indexed citations

18.

Li, Geqiang, et al.. (2012). Research on decoupling control for electro-hydraulic load simulator. 473–477. 2 indexed citations

19.

Yang, Hongyan. (2009). The Optimization Design of Solenoid Valve Based on ANSYS. Machine Tool & Hydraulics. 1 indexed citations

20.

Wang, Yaohe, Rathi Gangeswaran, Pengju Wang, et al.. (2009). CEACAM6 attenuates adenovirus infection by antagonizing viral trafficking in cancer cells. Journal of Clinical Investigation. 119(6). 1604–1615. 26 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.

Explore authors with similar magnitude of impact