Tie Zhang

1.1k citations
100 papers · 833 indexed · h-index 16

Tie Zhang

90 papers receiving 811 citations

Peers

Tie Zhang
Comparison fields: 5 of 76
  • Control and Systems Engineering 547
  • Industrial and Manufacturing Engineering 89
  • Computer Vision and Pattern Recognition 149
  • Mechanical Engineering 259
  • Biomedical Engineering 204
Replace Yahui Gan with:
Yahui Gan China
Cezary Zieliński Poland
Bakir Lačević Bosnia and Herzegovina
G. Magnani Italy
Ε. Freund Germany
Mehdi Tale Masouleh Iran
Shengchao Zhen China
Maíra Martins da Silva Brazil
Wim Meeussen United States
Claudio Bonivento Italy
Tie Zhang relative to Yahui Gan China Yahui Gan's profile →
Citations per field
00.5×1.5×1.9×
Yahui Gan · 1×
Citations per year

Countries citing papers authored by Tie Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Tie Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20243
5 20241
6 202416
7 20237
8 202319
9 20234
10 20234
11 20230
12 20193
13
Path Sorting Optimization of Robotic End-effector by Improved ACA
20161
14
Analysis on solution of 6D of robot jacobian matrix and singularity configuration based on vector product method
20112
15
Kinematic Analysis and Joint Decoupling for SCARA Robot
20111
16
Study on workspace analysis of 6r robot based on envelope method
20101
17
The study of cubic uniform rational B-spline interpolation algorithm
20103
18
Optimization Design on Crankshaft-Connecting Rod Mechanism of Three Cylinder of Confined Piston Internal Combustion Pump
20081
19
Application of Multi-sensor Data Fusion Technology in Intelligent Pressure Detecting
20031
20
Universal model method of linearization of discrete time nonlinear system
20021

About Tie Zhang

Tie Zhang is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 100 papers that have together received 833 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (26 papers), Robot Manipulation and Learning (22 papers), Iterative Learning Control Systems (19 papers), Robotic Path Planning Algorithms (13 papers), Advanced Surface Polishing Techniques (9 papers), Soft Robotics and Applications (9 papers), Hydraulic and Pneumatic Systems (8 papers) and Adaptive Control of Nonlinear Systems (7 papers). The work is most often cited by research in Control and Systems Engineering (547 citations), Industrial and Manufacturing Engineering (89 citations) and Computer Vision and Pattern Recognition (149 citations). Tie Zhang has collaborated with scholars based in China, United Kingdom and France. Frequent co-authors include Haitao Liu, Yanbiao Zou, Xuehong Tian, Shouyan Chen, Gui Wang, Fan Ouyang, Meihui Zhang, Weihua Chen, Xiao Meng and Aimin Zhang. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and IEEE Access.

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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