Ruqi Ding

1.4k citations
77 papers · 1.0k · h-index 18

Impact in

Papers in

    • Hydraulic and Pneumatic Systems 59
    • Control Systems in Engineering 11
    • Teleoperation and Haptic Systems 6
    • Fault Detection and Control Systems 10
    • Elevator Systems and Control 10
    • Robot Manipulation and Learning 8
    • Iterative Learning Control Systems 6

Ruqi Ding

69 papers receiving 1.0k citations

Peers

Ruqi Ding
Comparison fields: 5 of 63
  • Control and Systems Engineering 565
  • Mechanical Engineering 834
  • Automotive Engineering 141
  • Ocean Engineering 140
  • Civil and Structural Engineering 157
Replace Matti Linjama with:
Matti Linjama Finland
Yaoxing Shang China
Wolfgang Kemmetmüller Austria
Jiahai Huang China
Sanjoy K. Ghoshal India
Rudolf Scheidl Austria
Shaogan Ye China
Noah D. Manring United States
Massimo Rundo Italy
Ruqi Ding relative to Matti Linjama Finland Matti Linjama's profile →
Citations per field
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Matti Linjama · 1×
Citations per year

Countries citing papers authored by Ruqi Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ruqi Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201579
2 202070
3 201459
4 201956
5 201754
6 201853
7 202346
8 202246
9 201945
10 201743
11 201637
12 201837
13 201632
14 202128
15 201524
16 202022
17 202022
18 201818
19 202215
20 202115

About Ruqi Ding

Ruqi Ding is a scholar working on Mechanical Engineering, Control and Systems Engineering, Civil and Structural Engineering, Automotive Engineering and Electrical and Electronic Engineering, having authored 77 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hydraulic and Pneumatic Systems (59 papers), Control Systems in Engineering (11 papers), Fault Detection and Control Systems (10 papers), Elevator Systems and Control (10 papers), Robot Manipulation and Learning (8 papers), Fuel Cells and Related Materials (7 papers), Teleoperation and Haptic Systems (6 papers) and Iterative Learning Control Systems (6 papers). The work is most often cited by research in Control and Systems Engineering (565 citations), Mechanical Engineering (834 citations), Automotive Engineering (141 citations), Ocean Engineering (140 citations) and Civil and Structural Engineering (157 citations). Ruqi Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Min Cheng, Bing Xu, Junhui Zhang, Guoliang Hu, Bing Xu, Qi Su, Gang Li, Min Pan, Junhui Zhang and Feng Wang. Their work appears in journals such as IEEE/ASME Transactions on Mechatronics, Automation in Construction, IEEE Transactions on Industrial Electronics, Mechatronics and Energy Conversion and Management.

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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