Yu Kang

8.1k total citations
349 papers, 6.1k citations indexed

About

Yu Kang is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Yu Kang has authored 349 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Control and Systems Engineering, 77 papers in Computer Networks and Communications and 52 papers in Artificial Intelligence. Recurrent topics in Yu Kang's work include Stability and Control of Uncertain Systems (52 papers), Distributed Control Multi-Agent Systems (48 papers) and Neural Networks Stability and Synchronization (43 papers). Yu Kang is often cited by papers focused on Stability and Control of Uncertain Systems (52 papers), Distributed Control Multi-Agent Systems (48 papers) and Neural Networks Stability and Synchronization (43 papers). Yu Kang collaborates with scholars based in China, Australia and Singapore. Yu Kang's co-authors include Jiahu Qin, Wei Xing Zheng, Zhijun Li, Yun‐Bo Zhao, Yang Cao, Qichao Ma, Guijian Liu, Weiming Fu, Gaosheng Zhang and Wenjun Lv and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and IEEE Transactions on Automatic Control.

In The Last Decade

Yu Kang

318 papers receiving 5.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Kang China 43 2.5k 1.9k 855 720 545 349 6.1k
Reza Malekian South Africa 39 1.1k 0.4× 1.4k 0.7× 1.2k 1.4× 519 0.7× 713 1.3× 198 5.3k
Meiqin Liu China 36 1.3k 0.5× 1.3k 0.7× 1.2k 1.3× 944 1.3× 634 1.2× 312 4.6k
Xiaoming Hu Sweden 38 2.1k 0.8× 2.7k 1.4× 366 0.4× 539 0.7× 1.1k 2.1× 337 5.9k
Weihua Gui China 44 3.9k 1.5× 1.3k 0.7× 863 1.0× 1.3k 1.7× 261 0.5× 293 6.5k
Sauro Longhi Italy 35 2.7k 1.1× 547 0.3× 1.1k 1.3× 654 0.9× 955 1.8× 381 5.4k
Meng Joo Er Singapore 51 3.6k 1.4× 1.2k 0.6× 915 1.1× 2.8k 3.8× 1.3k 2.4× 304 8.3k
Peng Zeng China 37 1.3k 0.5× 1.8k 1.0× 2.4k 2.8× 732 1.0× 309 0.6× 391 6.3k
Tong Wang China 36 3.9k 1.6× 1.5k 0.8× 575 0.7× 755 1.0× 183 0.3× 201 5.8k
Changhua Hu China 34 1.6k 0.7× 432 0.2× 843 1.0× 1.8k 2.5× 424 0.8× 162 6.4k
Keyou You China 31 2.1k 0.8× 2.4k 1.3× 724 0.8× 1.8k 2.5× 332 0.6× 168 5.0k

Countries citing papers authored by Yu Kang

Since Specialization
Citations

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

Fields of papers citing papers by Yu Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Kang. A scholar is included among the top collaborators of Yu Kang 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 Yu Kang. Yu Kang 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.
Yao, Yangang, Yu Kang, Yun‐Bo Zhao, et al.. (2025). Event-based uniform prescribed-time output feedback control for irregular output-constrained nonlinear systems. Communications in Nonlinear Science and Numerical Simulation. 150. 109010–109010. 1 indexed citations
3.
Yang, Xinping, Han Jiang, Xiaohu Wang, et al.. (2024). Evaluation of the accuracy of remote emission sensing measurements via real-world vehicle dynamic tests. Environmental Pollution. 360. 124780–124780.
4.
Wang, Huadeng, et al.. (2024). A novel dataset and a two-stage deep learning method for breast cancer mitosis nuclei identification. Digital Signal Processing. 158. 104978–104978. 2 indexed citations
5.
Li, Zerui, et al.. (2024). Borehole lithology modelling with scarce labels by deep transductive learning. Computers & Geosciences. 192. 105706–105706. 3 indexed citations
6.
Li, Jing, Defeng He, Xiuli Wang, & Yu Kang. (2024). BP neural network-based explicit MPC of nonlinear boiler-turbine systems. Journal of Process Control. 145. 103353–103353. 3 indexed citations
7.
He, Defeng, et al.. (2024). Gaussian Process-Based Economic MPC with Delay Compensation for SNCR-SCR Combined Denitration Systems. Industrial & Engineering Chemistry Research. 63(45). 19628–19639. 1 indexed citations
8.
Kang, Yu, et al.. (2024). PCB Layout-Based Spatiotemporal Graph Convolution Network for Anomaly Prediction in Solder Paste Printing. IEEE Transactions on Components Packaging and Manufacturing Technology. 15(1). 214–223.
9.
Yao, Yangang, Yu Kang, Yun‐Bo Zhao, Pengfei Li, & Jieqing Tan. (2024). A Novel Prescribed-Time Control Approach of State-Constrained High-Order Nonlinear Systems. IEEE Transactions on Systems Man and Cybernetics Systems. 54(5). 2941–2951. 19 indexed citations
10.
Kang, Yu, et al.. (2024). Transfer learning with a spatiotemporal graph convolution network for city flow prediction. Frontiers of Information Technology & Electronic Engineering. 26(1). 79–92.
11.
Liu, Xinghua, et al.. (2024). Security Performance of MOSMLFC Power System Under Historical-Frequency-Triggered DoS Attacks. IEEE Transactions on Automation Science and Engineering. 22. 6518–6529. 5 indexed citations
12.
Kang, Yu, et al.. (2023). Interval consensus of variable quantity multi-agent systems under complex topology. Information Sciences. 640. 118939–118939. 2 indexed citations
13.
Xu, Zhenyi, Yu Kang, & Yang Cao. (2022). High-Resolution Urban Flows Forecasting With Coarse-Grained Spatiotemporal Data. IEEE Transactions on Artificial Intelligence. 4(2). 315–327. 11 indexed citations
14.
Liu, Wei, et al.. (2021). Identification and relative expression analysis of CBF gene family in Brassica napus L.. ACTA AGRONOMICA SINICA. 47(12). 2394–2406. 1 indexed citations
15.
Chang, Ji, et al.. (2021). SegLog: Geophysical Logging Segmentation Network for Lithofacies Identification. IEEE Transactions on Industrial Informatics. 18(9). 6089–6099. 14 indexed citations
16.
Xu, Zhenyi, Yu Kang, & Yang Cao. (2020). Emission stations location selection based on conditional measurement GAN data. Neurocomputing. 388. 170–180. 5 indexed citations
17.
Cao, Shihua, et al.. (2019). Integrating tacrolimus into eutectic oil-based microemulsion for atopic dermatitis: simultaneously enhancing percutaneous delivery and treatment efficacy with relieving side effects. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Kang, Yu, et al.. (2019). Adaptive Time-Delay Balance Control of Biped Robots. IEEE Transactions on Industrial Electronics. 67(4). 2936–2944. 22 indexed citations
19.
Li, Zhijun, et al.. (2018). Adaptive Neural Control of a Kinematically Redundant Exoskeleton Robot Using Brain–Machine Interfaces. IEEE Transactions on Neural Networks and Learning Systems. 30(12). 3558–3571. 117 indexed citations
20.
Jin, Xiaozheng, et al.. (2017). Adaptive Fault-Tolerant Consensus for a Class of Uncertain Nonlinear Second-Order Multi-Agent Systems With Circuit Implementation. IEEE Transactions on Circuits and Systems I Regular Papers. 65(7). 2243–2255. 204 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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