Steven X. Ding

34.0k citations
484 papers · 26.4k indexed · 20 hit papers · h-index 73

Steven X. Ding

464 papers receiving 25.8k citations

Hit Papers

Data-Driven Fault Dia...373200320262010201850010001.5k2.0k

Peers

Steven X. Ding
Comparison fields: 5 of 159
  • Control and Systems Engineering 23.0k
  • Statistics, Probability and Uncertainty 2.0k
  • Analytical Chemistry 1.7k
  • Mechanical Engineering 6.2k
  • Safety, Risk, Reliability and Quality 1.2k
Replace Shen Yin with:
Shen Yin China
Donghua Zhou China
Biao Huang Canada
Rolf Isermann Germany
Ruqiang Yan China
S. Joe Qin United States
Yaguo Lei China
Okyay Kaynak Türkiye
Jing Lin China
Chunhua Yang China
Steven X. Ding relative to Shen Yin China Shen Yin's profile →
Citations per field
00.5×1.6×
Shen Yin · 1×
Citations per year

Countries citing papers authored by Steven X. Ding

Since Specialization
Citations

This map shows the geographic impact of Steven 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 Steven 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 Steven X. Ding more than expected).

Fields of papers citing papers by Steven X. Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20242
4 20241
5 20242
6 202412
7 20244
8 20234
9 20227
10 202111
11 201944
12 201933
13 20198
14 2019129
15 201729
16 2017110
17 20175
18 201734
19 201672
20 2016125

About Steven X. Ding

Steven X. Ding is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Mechanical Engineering and Artificial Intelligence, having authored 484 papers that have together received 26.4k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (379 papers), Advanced Control Systems Optimization (169 papers), Control Systems and Identification (153 papers), Stability and Control of Uncertain Systems (92 papers), Machine Fault Diagnosis Techniques (63 papers), Mineral Processing and Grinding (54 papers), Advanced Data Processing Techniques (37 papers) and Adaptive Control of Nonlinear Systems (30 papers). The work is most often cited by research in Control and Systems Engineering (23.0k citations), Statistics, Probability and Uncertainty (2.0k citations), Analytical Chemistry (1.7k citations), Mechanical Engineering (6.2k citations) and Safety, Risk, Reliability and Quality (1.2k citations). Steven X. Ding has collaborated with scholars based in Germany, China and United Kingdom. Frequent co-authors include Zhiwei Gao, Shen Yin, Carlo Cecati, Ping Zhang, Hao Luo, Linlin Li, Biao Huang, Maiying Zhong, Huijun Gao and Yaguo Lei. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Automatica, IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Informatics and Journal of Process 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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