Ye Ding

3.5k citations
147 papers · 2.9k · 1 hit paper · h-index 27

Impact in

Papers in

Ye Ding

129 papers receiving 2.9k citations

Ye Ding's Hit Papers

A full-discretization method for prediction of milling stability 2010 · 498 citations
4980+5+10Years since publication100200300400

Peers

Ye Ding
Comparison fields: 5 of 45
  • Mechanical Engineering 2k
  • Control and Systems Engineering 783
  • Numerical Analysis 113
  • Industrial and Manufacturing Engineering 218
  • Computational Mechanics 195
Replace Alessandro Macchelli with:
Alessandro Macchelli Italy
Zhifen Zhang China
Thomas Meurer Germany
Mark Karpenko United States
Ryozo Nagamune Canada
Robert G. Parker United States
Edwin J. Kreuzer Germany
Naigang Cui China
Michel Géradin Belgium
Andreas Potschka Germany
Ye Ding relative to Alessandro Macchelli Italy Alessandro Macchelli's profile →
Citations per field
00.5×10×20×30×36.3×
Alessandro Macchelli · 1×
Citations per year

Countries citing papers authored by Ye Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ye Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A full-discretization method for prediction of milling stability
Hit paper breakdown →
2010498
2 2011178
3 2010172
4 2018154
5 201184
6 201382
7 201778
8 201356
9 201656
10 201153
11 202046
12 202145
13 201944
14 202044
15 201642
16 201141
17 201739
18 201638
19 202038
20 201536

About Ye Ding

Ye Ding is a scholar working on Control and Systems Engineering, Mechanical Engineering, Numerical Analysis, Nuclear and High Energy Physics and Computational Mechanics, having authored 147 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced machining processes and optimization (45 papers), Robotic Mechanisms and Dynamics (31 papers), Quantum Chromodynamics and Particle Interactions (14 papers), Particle physics theoretical and experimental studies (14 papers), Numerical methods for differential equations (12 papers), Advanced Numerical Analysis Techniques (12 papers), Advanced Measurement and Metrology Techniques (8 papers) and Dynamics and Control of Mechanical Systems (7 papers). The work is most often cited by research in Mechanical Engineering (2k citations), Control and Systems Engineering (783 citations), Numerical Analysis (113 citations), Industrial and Manufacturing Engineering (218 citations) and Computational Mechanics (195 citations). Ye Ding has collaborated with scholars based in China, Russia and Canada. Frequent co-authors include Han Ding, Xiaojian Zhang, Gang Xiong, Han Ding, Jinbo Niu, Yaoan Lu, Caihua Xiong, Han Ding, Guilin Yang and Xiangyang Zhu. Their work appears in journals such as Physical review. D, Journal of Manufacturing Science and Engineering, Journal of Dynamic Systems Measurement and Control, Robotics and Computer-Integrated Manufacturing and Science China Technological Sciences.

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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