F.G. Pin

1.5k citations
64 papers · 882 indexed · h-index 14

Impact in

Papers in

F.G. Pin

56 papers receiving 823 citations

Peers

F.G. Pin
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 575
  • Control and Systems Engineering 594
  • Energy Engineering and Power Technology 38
  • Biomedical Engineering 289
  • Human-Computer Interaction 33
Replace Haoxiang Lang with:
Haoxiang Lang Canada
Max Suell Dutra Brazil
Chian‐Song Chiu Taiwan
Michael L. McIntyre United States
Hồ Phạm Huy Ánh Vietnam
Yuxin Su China
G. Honderd Netherlands
Enver Tatlıcıoğlu Türkiye
F.G. Pin relative to Haoxiang Lang Canada Haoxiang Lang's profile →
Citations per field
00.5×2.6×
Haoxiang Lang · 1×
Citations per year

Countries citing papers authored by F.G. Pin

Since Specialization
Citations

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

Fields of papers citing papers by F.G. Pin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.G. Pin. 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 F.G. Pin. The network helps show where F.G. Pin may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Omni-directional and holonomic rolling platform with decoupled rotational and translational degrees of freedom
20230
2 20026
3 20024
4 20024
5 20026
6 199917
7
On minimal models and automated rule generation with the fuzzy behaviorist approach for vehicle navigation
19971
8
Conceptual design of an aircraft automated coating removal system
19964
9 199426
10 199212
11 19912
12
A fully omnidirectional wheeled assembly for robotic vehicles
19904
13
Trajectory generation for car-like robots
19900
14 199011
15 198911
16
ADGEN: An automated adjoint code generator for large-scale sensitivity analysis
19873
17
A methodology for dynamic task allocation in man-machine system
19872
18 19870
19 19864
20 198621

About F.G. Pin

F.G. Pin is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Industrial and Manufacturing Engineering, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 64 papers that have together received 882 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (31 papers), AI-based Problem Solving and Planning (15 papers), Control and Dynamics of Mobile Robots (14 papers), Fuzzy Logic and Control Systems (11 papers), Robot Manipulation and Learning (10 papers), Robotic Mechanisms and Dynamics (10 papers), Robotics and Sensor-Based Localization (7 papers) and Teleoperation and Haptic Systems (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (575 citations), Control and Systems Engineering (594 citations), Energy Engineering and Power Technology (38 citations), Biomedical Engineering (289 citations) and Human-Computer Interaction (33 citations). F.G. Pin has collaborated with scholars based in United States. Frequent co-authors include S.M. Killough, David B. Reister, Yutaka Watanabe, J.C. Culioli, J.F. Jansen, Randall F. Lind, C.R. Weisbin, Lonnie Love, G. de Saussure and E.M. Oblow. Their work appears in journals such as Robotics and Autonomous Systems, IEEE Transactions on Robotics and Automation, Robotica, Nuclear Science and Engineering and Knowledge-Based Systems.

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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