Congcong Ye

557 citations
12 papers · 397 indexed · h-index 8

Impact in

Papers in

    • Advanced machining processes and optimization 5
    • Advanced Measurement and Metrology Techniques 2
    • Robotic Mechanisms and Dynamics 5
    • Robot Manipulation and Learning 2
    • Fault Detection and Control Systems 2
    • Iterative Learning Control Systems 2

Congcong Ye

12 papers receiving 384 citations

Peers

Congcong Ye
Comparison fields: 5 of 67
  • Industrial and Manufacturing Engineering 92
  • Control and Systems Engineering 134
  • Mechanical Engineering 156
  • Information Systems 90
  • Computational Mechanics 58
Replace Lidia Jackowska-Strumiłło with:
Lidia Jackowska-Strumiłło Poland
Pavel Gladyshev Russia
Juan C. Granda Spain
Alexander Epple Germany
Z.D. Zhou China
Anirban Ghosh India
Lê Xuân Hưng Vietnam
Andrew Crampton United Kingdom
Luis Morales-Velázquez Mexico
Congcong Ye relative to Lidia Jackowska-Strumiłło Poland Lidia Jackowska-Strumiłło's profile →
Citations per field
00.5×4.9×
Lidia Jackowska-Strumiłło · 1×
Citations per year

Countries citing papers authored by Congcong Ye

Since Specialization
Citations

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

Fields of papers citing papers by Congcong Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Congcong Ye, 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 Congcong Ye Line = papers co-authored together Congcong Ye links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201888
2 202067
3 202252
4 201851
5 202150
6 202149
7 202021
8 20237
9 20174
10 20174
11 20243
12 20181

About Congcong Ye

Congcong Ye is a scholar working on Mechanical Engineering, Control and Systems Engineering, Biomedical Engineering, Industrial and Manufacturing Engineering and Information Systems, having authored 12 papers that have together received 397 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (5 papers), Robotic Mechanisms and Dynamics (5 papers), Advanced Measurement and Metrology Techniques (2 papers), Robot Manipulation and Learning (2 papers), Advanced Surface Polishing Techniques (2 papers), Fault Detection and Control Systems (2 papers), Manufacturing Process and Optimization (2 papers) and Iterative Learning Control Systems (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (92 citations), Control and Systems Engineering (134 citations), Mechanical Engineering (156 citations), Information Systems (90 citations) and Computational Mechanics (58 citations). Congcong Ye has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Jixiang Yang, Han Ding, Hongming Cai, Huan Zhao, Kensuke Fukuda, Guoqiang Li, Dingwei Li, Bin Wu, Han Ding and Boyi Xu. Their work appears in journals such as Robotics and Computer-Integrated Manufacturing, International Journal of Mechanical Sciences, Journal of Management Analytics, IEEE Access and Journal of Intelligent Manufacturing.

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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