Junyan Yu

1.1k total citations · 1 hit paper
32 papers, 841 citations indexed

About

Junyan Yu is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Junyan Yu has authored 32 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 13 papers in Control and Systems Engineering and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Junyan Yu's work include Neural Networks Stability and Synchronization (19 papers), Distributed Control Multi-Agent Systems (14 papers) and Stability and Control of Uncertain Systems (11 papers). Junyan Yu is often cited by papers focused on Neural Networks Stability and Synchronization (19 papers), Distributed Control Multi-Agent Systems (14 papers) and Stability and Control of Uncertain Systems (11 papers). Junyan Yu collaborates with scholars based in China and Hong Kong. Junyan Yu's co-authors include Long Wang, Jinliang Shao, Mei Yu, Ting‐Zhu Huang, Zhihua Tang, Caiyun Yang, Yulan Gao, Guangming Xie, Yingfeng Wu and Huafang Guo and has published in prestigious journals such as Applied Thermal Engineering, Neurocomputing and Journal of the Franklin Institute.

In The Last Decade

Junyan Yu

31 papers receiving 822 citations

Hit Papers

Group consensus in multi-agent systems with switching top... 2010 2026 2015 2020 2010 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junyan Yu China 11 677 235 126 96 63 32 841
Huanyu Zhao China 17 480 0.7× 330 1.4× 96 0.8× 93 1.0× 45 0.7× 43 745
Shaobao Li China 15 577 0.9× 349 1.5× 61 0.5× 72 0.8× 107 1.7× 57 773
Alessandro Falsone Italy 10 177 0.3× 172 0.7× 19 0.2× 160 1.7× 31 0.5× 53 440
Dabo Xu China 18 503 0.7× 766 3.3× 60 0.5× 49 0.5× 42 0.7× 88 981
Jueyou Li China 13 208 0.3× 113 0.5× 27 0.2× 234 2.4× 25 0.4× 37 503
Sergey Gorbachev China 14 215 0.3× 206 0.9× 11 0.1× 102 1.1× 17 0.3× 66 488
Dehui Sun China 12 356 0.5× 576 2.5× 13 0.1× 173 1.8× 25 0.4× 83 782
Byung‐Hun Lee South Korea 9 190 0.3× 103 0.4× 19 0.2× 60 0.6× 46 0.7× 25 358
E. G. Hernández-Martínez Mexico 12 237 0.4× 238 1.0× 26 0.2× 67 0.7× 68 1.1× 63 496
Shengxian Zhuang China 12 159 0.2× 168 0.7× 12 0.1× 410 4.3× 13 0.2× 46 615

Countries citing papers authored by Junyan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Junyan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Junyan Yu. A scholar is included among the top collaborators of Junyan Yu 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 Junyan Yu. Junyan Yu 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.
Huang, Haoran, et al.. (2023). Railway intrusion detection based on refined spatial and temporal features for UAV surveillance scene. Measurement. 211. 112602–112602. 25 indexed citations
2.
Yu, Junyan, et al.. (2022). Event-triggered H leader-follower consensus for nonlinear multi-agent systems with fixed and switching network topologies. Journal of the Franklin Institute. 360(3). 1792–1816. 8 indexed citations
3.
Tang, Zhihua, et al.. (2020). Predicting the electricity consumption of urban rail transit based on binary nonlinear fitting regression and support vector regression. Sustainable Cities and Society. 66. 102690–102690. 20 indexed citations
4.
Yang, Caiyun, et al.. (2020). Ventilation and air conditioning system of deep-buried subway station in sub-tropical climates: Energy-saving strategies. Applied Thermal Engineering. 178. 115555–115555. 33 indexed citations
5.
Li, Sai, Xiukun Wei, Zhe Zhang, Limin Jia, & Junyan Yu. (2019). Subway Station Capacity Maintained by Optimizing a Maintenance Schedule of Key Equipment. Applied Sciences. 9(7). 1386–1386. 1 indexed citations
6.
Guo, Huafang, et al.. (2019). Conventional and advanced exergy analyses of an air-conditioning system in a subway station. International Journal of Exergy. 29(2/3/4). 236–236. 6 indexed citations
7.
Gao, Yulan, Junyan Yu, Mei Yu, Yue Xiao, & Jinliang Shao. (2017). Couple-group consensus for second-order multi-agent systems with the effect of second-order neighbours’ information. Transactions of the Institute of Measurement and Control. 40(5). 1726–1737. 4 indexed citations
8.
Shi, Lei, et al.. (2017). Containment control for general discrete-time second-order multi-agent systems. 48. 8479–8484. 1 indexed citations
9.
Gao, Yulan, Junyan Yu, Jinliang Shao, & Mei Yu. (2016). Group consensus for second-order discrete-time multi-agent systems with time-varying delays under switching topologies. Neurocomputing. 207. 805–812. 25 indexed citations
10.
Yu, Junyan. (2015). A CMP Energy Consumption Estimate Model for Computer Systems. Dianzi Ke-ji Daxue xuebao. 9 indexed citations
11.
Huang, Ting‐Zhu, et al.. (2015). Group consensus of multi-agent systems with communication delays. Neurocomputing. 171. 1666–1673. 56 indexed citations
13.
Huang, Ting‐Zhu, et al.. (2014). Group Consensus with a Dynamic Leader for Multiagent Systems via Sampled-Data Control. Discrete Dynamics in Nature and Society. 2014. 1–9. 1 indexed citations
14.
Jiang, Jiuchuan, Junyan Yu, & Jingsheng Lei. (2014). Finding influential agent groups in complex multiagent software systems based on citation network analyses. Advances in Engineering Software. 79. 57–69. 8 indexed citations
15.
Wang, Shuo, et al.. (2014). Robust control of time-delay power systems: A descriptor system approach. 214–219. 1 indexed citations
16.
Liu, Bo, et al.. (2013). Group synchronization of complex networks with nonlinear dynamics via pinning control. Chinese Control Conference. 235–240. 1 indexed citations
17.
Yu, Junyan & Long Wang. (2010). Group consensus in multi-agent systems with switching topologies and communication delays. Systems & Control Letters. 59(6). 340–348. 383 indexed citations breakdown →
18.
Yu, Junyan & Long Wang. (2010). Group consensus of multi-agent systems with directed information exchange. International Journal of Systems Science. 43(2). 334–348. 139 indexed citations
19.
Yu, Junyan, Long Wang, Mei Yu, Yingmin Jia, & Jie Chen. (2008). Packet-loss dependent controller design for networked control systems via switched system approach. 3354–3359. 9 indexed citations
20.
Yu, Junyan, Guangming Xie, & Long Wang. (2007). Robust Stabilization of Discrete-time Switched Uncertain Systems Subject to Actuator Saturation. Proceedings of the ... American Control Conference. 2109–2112. 7 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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