G. George Yin

8.2k citations
111 papers · 5.4k indexed · 3 hit papers · h-index 27

G. George Yin

107 papers receiving 5.2k citations

Hit Papers

Stochastic Approximation and Recursive Algorithms and App...1.2k19972026200620162505007501000

Peers

G. George Yin
Comparison fields: 5 of 148
  • Control and Systems Engineering 1.8k
  • Finance 689
  • Management Science and Operations Research 797
  • Computer Networks and Communications 1.3k
  • Modeling and Simulation 242
Replace Vivek S. Borkar with:
Vivek S. Borkar India
Steven I. Marcus United States
Giuseppe C. Calafiore Italy
Peter E. Caines Canada
George Yin United States
Ari Arapostathis United States
Paul Dupuis United States
Minyi Huang Canada
Yu‐Chi Ho United States
Sean Meyn United States
G. George Yin relative to Vivek S. Borkar India Vivek S. Borkar's profile →
Citations per field
00.5×1.5×1.8×
Vivek S. Borkar · 1×
Citations per year

Countries citing papers authored by G. George Yin

Since Specialization
Citations

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

Fields of papers citing papers by G. George Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. George Yin. 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 G. George Yin. The network helps show where G. George Yin may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
3 20250
4 20251
5 20252
6 20240
7 202427
8 20246
9 20240
10 20241
11 20234
12 202211
13 20142
14 201225
15 201164
16 201122
17 20063
18 20023
19 200226
20 200125

About G. George Yin

G. George Yin is a scholar working on Control and Systems Engineering, Finance, Statistics, Probability and Uncertainty, Modeling and Simulation and Statistics and Probability, having authored 111 papers that have together received 5.4k indexed citations. Recurring topics across this work include Control Systems and Identification (28 papers), Fault Detection and Control Systems (23 papers), Stochastic processes and financial applications (10 papers), Advanced Control Systems Optimization (9 papers), Advancements in Battery Materials (7 papers), Probabilistic and Robust Engineering Design (7 papers), Stability and Control of Uncertain Systems (7 papers) and Advanced Battery Technologies Research (6 papers). The work is most often cited by research in Control and Systems Engineering (1.8k citations), Finance (689 citations), Management Science and Operations Research (797 citations), Computer Networks and Communications (1.3k citations) and Modeling and Simulation (242 citations). G. George Yin has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Harold J. Kushner, Le Yi Wang, Anatolii A. Puhalskii, Ji‐Feng Zhang, Chao Zhu, Zhang Qing, Yanlong Zhao, Xuerong Mao, Chenggui Yuan and Qing Zhang. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica, IEEE Transactions on Information Theory, Sensors and Actuators A Physical and Advanced Functional Materials.

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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