Tie-Jun Yu

727 citations
32 papers · 534 · h-index 9

Impact in

Papers in

Tie-Jun Yu

26 papers receiving 502 citations

Peers

Tie-Jun Yu
Comparison fields: 5 of 37
  • Atomic and Molecular Physics, and Optics 209
  • Control and Systems Engineering 159
  • Electronic, Optical and Magnetic Materials 39
  • Electrical and Electronic Engineering 115
  • Automotive Engineering 15
Replace Yves Maréchal with:
Yves Maréchal France
Wei Qin Yu China
Paul J. Leonard United Kingdom
A. Foggia France
Igor Tičar Slovenia
Ming-Feng Lu China
Yvonnick Le Menach France
Carolyn R. Mercer United States
Derek N. Dyck Canada
Motoki Asano Japan
Tie-Jun Yu relative to Yves Maréchal France Yves Maréchal's profile →
Citations per field
00.5×2×4×6.4×
Yves Maréchal · 1×
Citations per year

Countries citing papers authored by Tie-Jun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Tie-Jun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995170
2 199879
3 200263
4 200058
5 200049
6 200034
7 200112
8 200211
9 199410
10 20028
11 20218
12 20024
13 19943
14 19973
15 19973
16 19983
17 19983
18 19942
19 20012
20 20052

About Tie-Jun Yu

Tie-Jun Yu is a scholar working on Atomic and Molecular Physics, and Optics, Control and Systems Engineering, Artificial Intelligence, Aerospace Engineering and Ocean Engineering, having authored 32 papers that have together received 534 indexed citations. Recurring topics across this work include Electromagnetic Scattering and Analysis (12 papers), Control Systems and Identification (4 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Advanced Control Systems Optimization (3 papers), Adaptive Control of Nonlinear Systems (3 papers), Fuzzy Logic and Control Systems (2 papers), Dynamics and Control of Mechanical Systems (2 papers) and Advanced Control Systems Design (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (209 citations), Control and Systems Engineering (159 citations), Electronic, Optical and Magnetic Materials (39 citations), Electrical and Electronic Engineering (115 citations) and Automotive Engineering (15 citations). Tie-Jun Yu has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Peter C. Müller, Dirk Söffker, Wei Cai, Weiping Shi, Lawrence Carin, Jian‐Guo Liu, Norbert Geng, Jiangqi He, Ching‐Fang Lin and Yanfeng Xing. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Radio Science, International Journal of RF and Microwave Computer-Aided Engineering, Journal of Computational Physics and Journal of Dynamic Systems Measurement and Control.

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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