Kai Ding

854 citations
22 papers · 672 · h-index 10

Impact in

Papers in

Kai Ding

21 papers receiving 657 citations

Peers

Kai Ding
Comparison fields: 5 of 34
  • Electronic, Optical and Magnetic Materials 237
  • Biomedical Engineering 406
  • Ceramics and Composites 49
  • Mechanical Engineering 312
  • Materials Chemistry 339
Replace Ju-Hyun Yoo with:
Ju-Hyun Yoo South Korea
Tengfei Jiang United States
Dewei Liu China
A. A. D’yakonov Russia
Chao‐Chang A. Chen Taiwan
Jianbin Wang China
Jiang Ding China
Li Xie China
R. Steinhausen Germany
Kai Ding relative to Ju-Hyun Yoo South Korea Ju-Hyun Yoo's profile →
Citations per field
00.5×5.2×
Ju-Hyun Yoo · 1×
Citations per year

Countries citing papers authored by Kai Ding

Since Specialization
Citations

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

Fields of papers citing papers by Kai Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013147
2 2011143
3 201798
4 202175
5 201472
6 202125
7 202122
8 202018
9 201714
10 201114
11 20258
12 20168
13 20245
14 20244
15 20124
16 20233
17 20243
18 20203
19 20213
20 20222

About Kai Ding

Kai Ding is a scholar working on Biomedical Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Materials Chemistry and Electronic, Optical and Magnetic Materials, having authored 22 papers that have together received 672 indexed citations. Recurring topics across this work include Advanced Surface Polishing Techniques (10 papers), Advanced machining processes and optimization (9 papers), Advanced Machining and Optimization Techniques (8 papers), Ferroelectric and Piezoelectric Materials (5 papers), Multiferroics and related materials (4 papers), Nonlinear Optical Materials Studies (2 papers), Magnetic and transport properties of perovskites and related materials (2 papers) and Dielectric materials and actuators (2 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (237 citations), Biomedical Engineering (406 citations), Ceramics and Composites (49 citations), Mechanical Engineering (312 citations) and Materials Chemistry (339 citations). Kai Ding has collaborated with scholars based in China, Hong Kong and Thailand. Frequent co-authors include Lijie Qiao, Yang Bai, Honghua Su, Xi Han, Qilin Li, Yucan Fu, Dong Guo, San‐Qiang Shi, Guangping Zheng and Weining Lei. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Ceramics International, Journal of Applied Physics, Alexandria Engineering Journal and Advanced Engineering Informatics.

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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