S.Y.T. Lang

1.1k citations
43 papers · 751 · h-index 14

Impact in

Papers in

S.Y.T. Lang

42 papers receiving 719 citations

Peers

S.Y.T. Lang
Comparison fields: 5 of 81
  • Industrial and Manufacturing Engineering 361
  • Management of Technology and Innovation 130
  • Control and Systems Engineering 200
  • Medical Laboratory Technology 7
  • Computer Vision and Pattern Recognition 85
Replace Mingzhou Liu with:
Mingzhou Liu China
Bojan Babić Serbia
Lorenzo Damiani Italy
Qiang Cheng China
Jihong Liu China
Chien‐Yi Huang Taiwan
Yuan Guo China
Sadek Crisóstomo Absi Alfaro Brazil
Tsung‐Nan Tsai Taiwan
S.Y.T. Lang relative to Mingzhou Liu China Mingzhou Liu's profile →
Citations per field
00.5×1.5×2.5×
Mingzhou Liu · 1×
Citations per year

Countries citing papers authored by S.Y.T. Lang

Since Specialization
Citations

This map shows the geographic impact of S.Y.T. Lang'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 S.Y.T. Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.Y.T. Lang more than expected).

Fields of papers citing papers by S.Y.T. Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.Y.T. Lang. 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 S.Y.T. Lang. The network helps show where S.Y.T. Lang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006282
2 200544
3 200543
4 200642
5 199439
6 200636
7 200627
8 200720
9 200420
10 200315
11 200315
12 202514
13 200613
14 200213
15 200710
16 200210
17 200110
18 20079
19
Cross-Coupling Control for Slippage Minimization of a Four-Wheel-Steering Mobile Robot
20008
20 20007

About S.Y.T. Lang

S.Y.T. Lang is a scholar working on Control and Systems Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering, having authored 43 papers that have together received 751 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (10 papers), Manufacturing Process and Optimization (7 papers), Robotic Path Planning Algorithms (6 papers), Modular Robots and Swarm Intelligence (6 papers), Robotics and Sensor-Based Localization (6 papers), Robot Manipulation and Learning (4 papers), Iterative Learning Control Systems (4 papers) and Advanced Sensor and Energy Harvesting Materials (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (361 citations), Management of Technology and Innovation (130 citations), Control and Systems Engineering (200 citations), Medical Laboratory Technology (7 citations) and Computer Vision and Pattern Recognition (85 citations). S.Y.T. Lang has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Zhuming Bi, Weiming Shen, Lihui Wang, Wenjun Zhang, W.A. Gruver, Bi Zhu, Yili Fu, I‐Ming Chen, B. A. Morrow and Ian D. Gay. Their work appears in journals such as Composites Part B Engineering, International Journal of Production Research, Robotics and Computer-Integrated Manufacturing, Nano Energy and Colloids and Surfaces A Physicochemical and Engineering Aspects.

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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