Kuo Su

1.3k citations
43 papers · 970 indexed · h-index 15

Impact in

Papers in

Kuo Su

39 papers receiving 907 citations

Peers

Kuo Su
Comparison fields: 5 of 104
  • Safety, Risk, Reliability and Quality 114
  • Computer Vision and Pattern Recognition 190
  • Control and Systems Engineering 170
  • Polymers and Plastics 95
  • Electrical and Electronic Engineering 378
Replace Yi Yang with:
Yi Yang China
Wan Rahiman Malaysia
Rui Yu China
Qingyang Xu China
Zhen Liu China
Weitao Li China
Quan Jiang China
Emmanuel Ramasso France
Jian Zhao China
Kuo Su relative to Yi Yang China Yi Yang's profile →
Citations per field
00.5×2.6×
Yi Yang · 1×
Citations per year

Countries citing papers authored by Kuo Su

Since Specialization
Citations

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

Fields of papers citing papers by Kuo Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kuo Su, 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 Kuo Su Line = papers co-authored together Kuo Su 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 2002414
2 200759
3 200655
4 200148
5 200738
6 200833
7 201930
8 200829
9 202229
10 202128
11 201723
12 202221
13 200217
14 202217
15 202216
16 202114
17 201613
18 200613
19 201310
20 20058

About Kuo Su

Kuo Su is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Polymers and Plastics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 43 papers that have together received 970 indexed citations. Recurring topics across this work include Perovskite Materials and Applications (10 papers), Conducting polymers and applications (9 papers), Robotic Path Planning Algorithms (7 papers), Fire Detection and Safety Systems (7 papers), Robotics and Automated Systems (5 papers), IoT-based Smart Home Systems (4 papers), Robotics and Sensor-Based Localization (4 papers) and Organic Electronics and Photovoltaics (3 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (114 citations), Computer Vision and Pattern Recognition (190 citations), Control and Systems Engineering (170 citations), Polymers and Plastics (95 citations) and Electrical and Electronic Engineering (378 citations). Kuo Su has collaborated with scholars based in Taiwan, China and Switzerland. Frequent co-authors include R.C. Luo, Chih‐Chen Yih, Ren C. Luo, Bao Zhang, Yaqing Feng, Yi Zhang, Yuqiong Huang, Wentao Chen, Chun-Chi Lai and Mohammad Khaja Nazeeruddin. Their work appears in journals such as Solar RRL, ACS Applied Materials & Interfaces, Robotics and Autonomous Systems, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and Chemistry of Materials.

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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