Yanjiao Wang

1.2k citations
24 papers · 1.0k indexed · 1 hit paper · h-index 13

Yanjiao Wang

22 papers receiving 1.0k citations

Hit Papers

Joint iterative state and parameter estimation for biline...63202420262025204060

Peers

Yanjiao Wang
Comparison fields: 5 of 79
  • Control and Systems Engineering 804
  • Computational Mathematics 8
  • Civil and Structural Engineering 262
  • Artificial Intelligence 289
  • Computational Mechanics 164
Replace Yihong Zhou with:
Yihong Zhou China
Hao Ma China
Francesco Dinuzzo Germany
Jiyang Dai China
Laurent Bako France
Paolo Attilio Pegoraro Italy
W.C. Amaral Brazil
Julio Cesar Stacchini de Souza Brazil
Milton Brown Do Coutto Filho Brazil
Nauman Shahid Pakistan
Yanjiao Wang relative to Yihong Zhou China Yihong Zhou's profile →
Citations per field
00.5×10×15×17.7×
Yihong Zhou · 1×
Citations per year

Countries citing papers authored by Yanjiao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yanjiao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yanjiao Wang, 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 Yanjiao Wang Line = papers co-authored together Yanjiao Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20245
4 20242
5 202442
6 20247
7 20244
8 202411
9 202420
10 20241
11
Joint iterative state and parameter estimation for bilinear systems with autoregressive noises via the data filteringbreakdown →
202463
12 20231
13 20237
14 202279
15 202195
16 20214
17 201986
18 2018130
19 2016102
20 2014145

About Yanjiao Wang

Yanjiao Wang is a scholar working on Computational Mathematics, Control and Systems Engineering and Signal Processing, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Control Systems and Identification (12 papers), Fault Detection and Control Systems (7 papers), Neural Networks and Applications (4 papers), Advanced Adaptive Filtering Techniques (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Blind Source Separation Techniques (2 papers), Model Reduction and Neural Networks (2 papers) and Structural Health Monitoring Techniques (2 papers). The work is most often cited by research in Control and Systems Engineering (804 citations), Computational Mathematics (8 citations) and Civil and Structural Engineering (262 citations). Yanjiao Wang has collaborated with scholars based in China, Saudi Arabia and United States. Frequent co-authors include Feng Ding, Shihua Tang, Ling Yang, Jie Ding, Feng Ding, Muqing Deng, Ling Xu, Yu Zhang, Shengli Xie and Guoxu Zhou. Their work appears in journals such as PLANT PHYSIOLOGY, Plant Cell & Environment and International Journal of Pharmaceutics.

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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