X. Ding

2.1k citations
38 papers · 1.5k indexed · 1 hit paper · h-index 13

X. Ding

32 papers receiving 1.4k citations

Hit Papers

Survey of robust residual generation and evaluation metho...9501997202620062016250500750

Peers

X. Ding
Comparison fields: 5 of 49
  • Control and Systems Engineering 1.5k
  • Statistics, Probability and Uncertainty 132
  • Mechanical Engineering 220
  • Safety, Risk, Reliability and Quality 51
  • Artificial Intelligence 123
Replace E.L. Ding with:
E.L. Ding Germany
Janos J. Gertler United States
Mohammad-Ali Massoumnia United States
Peter Ballé Germany
Jan Maciej Kościelny Poland
Jian Shi China
Nizar Chatti France
Junyou Shi China
Michał Syfert Poland
Qimi Jiang Canada
X. Ding relative to E.L. Ding Germany E.L. Ding's profile →
Citations per field
00.5×1.5×
E.L. Ding · 1×
Citations per year

Countries citing papers authored by X. Ding

Since Specialization
Citations

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

Fields of papers citing papers by X. Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20242
5 20053
6 200319
7 20021
8 20024
9 200243
10 200089
11 1999109
12 19973
13
Survey of robust residual generation and evaluation methods in observer-based fault detection systemsbreakdown →
1997950
14 199716
15 199612
16 19965
17 19944
18 19946
19 19918
20 199180

About X. Ding

X. Ding is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty, Mechanical Engineering, Safety, Risk, Reliability and Quality and Civil and Structural Engineering, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (24 papers), Advanced Data Processing Techniques (8 papers), Advanced Control Systems Optimization (8 papers), Control Systems and Identification (7 papers), Mineral Processing and Grinding (6 papers), Machine Fault Diagnosis Techniques (6 papers), Risk and Safety Analysis (4 papers) and Structural Health Monitoring Techniques (3 papers). The work is most often cited by research in Control and Systems Engineering (1.5k citations), Statistics, Probability and Uncertainty (132 citations), Mechanical Engineering (220 citations), Safety, Risk, Reliability and Quality (51 citations) and Artificial Intelligence (123 citations). X. Ding has collaborated with scholars based in Germany, China and Sweden. Frequent co-authors include P.M. Frank, Limin Guo, Torsten Jeinsch, Birgit Köppen-Seliger, Ding Li, Yongqiang Wang, Guizeng Wang, Hao Ye, Lei Guo and Limin Guo. Their work appears in journals such as Structural Health Monitoring, IEEE Transactions on Automatic Control, Computers in Biology and Medicine, Journal of Process Control and International Journal of Control.

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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