Robert X. Gao

26.0k citations
381 papers · 19.4k indexed · 20 hit papers · h-index 64

Impact in

Papers in

Robert X. Gao

365 papers receiving 18.6k citations

Hit Papers

Real-time decision-making for Digital Twin in additive manufacturing with Model Predictive Control using time-series deep neural networks 2025 · 20 citations
20200420262011201850010001.5k

Peers

Robert X. Gao
Comparison fields: 5 of 194
  • Industrial and Manufacturing Engineering 4.6k
  • Control and Systems Engineering 9.0k
  • Medical Laboratory Technology 348
  • Mechanical Engineering 7.9k
  • Mechanics of Materials 3.0k
Replace Ruqiang Yan with:
Ruqiang Yan China
Xiang Li China
Yaguo Lei China
Dong Wang China
Liang Gao China
Shen Yin China
Jianbo Yu China
Chuan Li China
Xinyu Shao China
Jinjiang Wang China
Robert X. Gao relative to Ruqiang Yan China Ruqiang Yan's profile →
Citations per field
00.5×1.5×2.2×
Ruqiang Yan · 1×
Citations per year

Countries citing papers authored by Robert X. Gao

Since Specialization
Citations

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

Fields of papers citing papers by Robert X. Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Real-time decision-making for Digital Twin in additive manufacturing with Model Predictive Control using time-series deep neural networks
Hit paper breakdown →
202520
2 20251
3 20252
4 20254
5 202444
6 202411
7 20238
8
Wavelet transform for rotary machine fault diagnosis:10 years revisited
Hit paper breakdown →
2023152
9 20239
10 20223
11 20213
12 202133
13 202111
14 202022
15 2019101
16 201723
17 2017118
18 20159
19 20133
20
Condition Monitoring and Control for Intelligent Manufacturing (Springer Series in Advanced Manufacturing)
200610

About Robert X. Gao

Robert X. Gao is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering, Mechanical Engineering, Medical Laboratory Technology and Computer Vision and Pattern Recognition, having authored 381 papers that have together received 19.4k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (104 papers), Advanced machining processes and optimization (83 papers), Fault Detection and Control Systems (61 papers), Gear and Bearing Dynamics Analysis (50 papers), Industrial Vision Systems and Defect Detection (47 papers), Structural Health Monitoring Techniques (38 papers), Manufacturing Process and Optimization (30 papers) and Advanced Surface Polishing Techniques (21 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (4.6k citations), Control and Systems Engineering (9.0k citations), Medical Laboratory Technology (348 citations), Mechanical Engineering (7.9k citations) and Mechanics of Materials (3.0k citations). Robert X. Gao has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Ruqiang Yan, Jinjiang Wang, Xuefeng Chen, Peng Wang, Rui Zhao, Jianjing Zhang, Peng Wang, Laibin Zhang, Dazhong Wu and Lihui Wang. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Journal of Manufacturing Systems, CIRP Annals, Mechanical Systems and Signal Processing and Journal of Manufacturing Science and Engineering.

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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