Chun-Chi Lai

653 citations
32 papers · 489 · h-index 12

Impact in

Papers in

Chun-Chi Lai

30 papers receiving 472 citations

Peers

Chun-Chi Lai
Comparison fields: 5 of 92
  • Computer Vision and Pattern Recognition 156
  • Aerospace Engineering 118
  • Control and Systems Engineering 109
  • Water Science and Technology 38
  • Industrial and Manufacturing Engineering 26
Replace Pedro Santana with:
Pedro Santana Portugal
Tommaso Polonelli Switzerland
Baofeng Zhang China
Ioan Silea Romania
Mohd Shawal Jadin Malaysia
Feihu Zhang China
G.N. Marichal Spain
Lihua You United Kingdom
Zhi Zhang China
Chun-Chi Lai relative to Pedro Santana Portugal Pedro Santana's profile →
Citations per field
00.5×1.5×
Pedro Santana · 1×
Citations per year

Countries citing papers authored by Chun-Chi Lai

Since Specialization
Citations

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

Fields of papers citing papers by Chun-Chi Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Chi Lai. 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 Chun-Chi Lai. The network helps show where Chun-Chi Lai may publish in the future.

Co-authors

The 25 scholars most cited alongside Chun-Chi Lai, 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 Chun-Chi Lai Line = papers co-authored together Chun-Chi Lai 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 2011115
2 201363
3 201158
4 201540
5 202132
6 202118
7 200716
8 202015
9 202214
10 201613
11
The analysis of a semi-active suspension system
201011
12 202111
13 202211
14 200810
15 20139
16 20189
17 20238
18 20198
19 20074
20 20173

About Chun-Chi Lai

Chun-Chi Lai is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering and Artificial Intelligence, having authored 32 papers that have together received 489 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (9 papers), Robotic Path Planning Algorithms (9 papers), Semiconductor materials and devices (5 papers), Robotics and Automated Systems (5 papers), Indoor and Outdoor Localization Technologies (5 papers), Vehicle Dynamics and Control Systems (3 papers), Hydraulic and Pneumatic Systems (3 papers) and Adaptive Control of Nonlinear Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (156 citations), Aerospace Engineering (118 citations), Control and Systems Engineering (109 citations), Water Science and Technology (38 citations) and Industrial and Manufacturing Engineering (26 citations). Chun-Chi Lai has collaborated with scholars based in Taiwan, China and Iran. Frequent co-authors include Ren C. Luo, Chin‐Sheng Chen, Yu‐Hao Lin, Kuo Su, Afef Fekih, Asghar Taheri, Farhad Bayat, Saleh Mobayen, Yaojung Shiao and Ren Luo. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Sustainable Computing Informatics and Systems, Energies, Environmental Science and Pollution Research and IEEE Robotics and Automation Letters.

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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