Junqi Yang

1.9k citations
121 papers · 1.5k · h-index 23

Impact in

Papers in

Junqi Yang

109 papers receiving 1.5k citations

Peers

Junqi Yang
Comparison fields: 5 of 99
  • Control and Systems Engineering 800
  • Statistical and Nonlinear Physics 201
  • Automotive Engineering 165
  • Computer Networks and Communications 305
  • Electrical and Electronic Engineering 297
Replace Kartik B. Ariyur with:
Kartik B. Ariyur United States
Leonardo A. B. Tôrres Brazil
Raúl Ordóñez United States
Mouhacine Benosman United States
Michel Dambrine France
M. M’Saad France
Shun‐Hung Tsai Taiwan
João Y. Ishihara Brazil
Ming Chi China
Junqi Yang relative to Kartik B. Ariyur United States Kartik B. Ariyur's profile →
Citations per field
00.5×6.7×
Kartik B. Ariyur · 1×
Citations per year

Countries citing papers authored by Junqi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Junqi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junqi Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junqi Yang Line = papers co-authored together Junqi Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202196
2 202185
3 201581
4 201280
5 201873
6 201866
7 201557
8 201445
9 201739
10 201539
11 201337
12 201736
13 202033
14 201232
15 201729
16 201529
17 201527
18 201325
19 201425
20 201524

About Junqi Yang

Junqi Yang is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Computer Networks and Communications, Civil and Structural Engineering and Computational Theory and Mathematics, having authored 121 papers that have together received 1.5k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (25 papers), Fault Detection and Control Systems (22 papers), Adaptive Control of Nonlinear Systems (19 papers), Control Systems and Identification (12 papers), Advanced Fiber Optic Sensors (9 papers), Advanced Control Systems Optimization (9 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Chaos control and synchronization (7 papers). The work is most often cited by research in Control and Systems Engineering (800 citations), Statistical and Nonlinear Physics (201 citations), Automotive Engineering (165 citations), Computer Networks and Communications (305 citations) and Electrical and Electronic Engineering (297 citations). Junqi Yang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Xuhui Bu, Fanglai Zhu, Fanglai Zhu, Kaijiang Yu, Wei Qian, Zhongsheng Hou, Wei Zhang, Qiongxia Yu, Xin Wang and Daisuke Yamaguchi. Their work appears in journals such as Journal of the Franklin Institute, Asian Journal of Control, SAE technical papers on CD-ROM/SAE technical paper series, Frontiers in Plant Science and Communications in Nonlinear Science and Numerical Simulation.

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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