Steve Yang

594 total citations
12 papers, 442 citations indexed

About

Steve Yang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Steve Yang has authored 12 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 6 papers in Control and Systems Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Steve Yang's work include Power System Optimization and Stability (6 papers), Power Systems Fault Detection (3 papers) and Software Reliability and Analysis Research (2 papers). Steve Yang is often cited by papers focused on Power System Optimization and Stability (6 papers), Power Systems Fault Detection (3 papers) and Software Reliability and Analysis Research (2 papers). Steve Yang collaborates with scholars based in United States, South Korea and Israel. Steve Yang's co-authors include Jeffrey J. P. Tsai, Dmitry Kosterev, Bernard C. Lesieutre, John Undrill, W.W. Price, David P. Chassin, Richard J. Bravo, Ross Smith, Joseph H. Eto and Pavel Etingov and has published in prestigious journals such as IEEE Transactions on Power Systems, Annals of Nuclear Energy and IEEE Power and Energy Magazine.

In The Last Decade

Steve Yang

11 papers receiving 415 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Steve Yang United States 9 286 181 58 58 55 12 442
R.G. Bennetts United Kingdom 12 250 0.9× 83 0.5× 60 1.0× 45 0.8× 261 4.7× 26 487
Nagabhushan Mahadevan United States 10 74 0.3× 133 0.7× 89 1.5× 94 1.6× 53 1.0× 40 316
Ann Patterson‐Hine United States 10 31 0.1× 243 1.3× 117 2.0× 50 0.9× 32 0.6× 33 367
James Kapinski United States 12 70 0.2× 163 0.9× 154 2.7× 27 0.5× 73 1.3× 34 498
K. Wojtek Przytula United States 10 65 0.2× 83 0.5× 142 2.4× 27 0.5× 19 0.3× 20 273
Hosam M. F. AboElFotoh Kuwait 10 114 0.4× 39 0.2× 34 0.6× 272 4.7× 19 0.3× 24 384
Stefan Kowalewski Germany 9 29 0.1× 175 1.0× 48 0.8× 40 0.7× 30 0.5× 54 430
Maksim Jenihhin Estonia 12 328 1.1× 57 0.3× 70 1.2× 63 1.1× 248 4.5× 109 498
Kaikai Pan China 11 228 0.8× 336 1.9× 69 1.2× 142 2.4× 11 0.2× 34 438
Joey Huchette United States 7 102 0.4× 76 0.4× 73 1.3× 111 1.9× 65 1.2× 16 388

Countries citing papers authored by Steve Yang

Since Specialization
Citations

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

Fields of papers citing papers by Steve Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Yang. A scholar is included among the top collaborators of Steve Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steve Yang. Steve Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Follum, Jim, Pavel Etingov, Francis Tuffner, et al.. (2020). Detecting and Analyzing Power System Disturbances in PMU Data with the Open-Source Archive Walker Tool. 1–5. 8 indexed citations
2.
Kang, Hyun Gook, Seung Jun Lee, Meng Yue, et al.. (2018). Development of a Bayesian belief network model for software reliability quantification of digital protection systems in nuclear power plants. Annals of Nuclear Energy. 120. 62–73. 22 indexed citations
3.
Huang, Renke, Ruisheng Diao, J.J. Sanchez-Gasca, et al.. (2017). Calibrating Parameters of Power System Stability Models Using Advanced Ensemble Kalman Filter. IEEE Transactions on Power Systems. 33(3). 2895–2905. 94 indexed citations
4.
Kosterev, Dmitry, et al.. (2014). Improving Reliability Through Better Models: Using Synchrophasor Data to Validate Power Plant Models. IEEE Power and Energy Magazine. 12(3). 44–51. 42 indexed citations
7.
Undrill, John, et al.. (2009). Generating unit model validation: WECC lessons and moving forward. 1–5. 10 indexed citations
8.
Kosterev, Dmitry, John Undrill, Bernard C. Lesieutre, et al.. (2008). Load modeling in power system studies: WECC progress update. 1–8. 131 indexed citations
9.
Lü, Ning, et al.. (2008). Load component database of household appliances and small office equipment. 1–5. 29 indexed citations
10.
Tsai, Jeffrey J. P., et al.. (1996). Distributed Real-Time Systems: Monitoring, Visualization, Debugging, and Analysis. Medical Entomology and Zoology. 50 indexed citations
11.
Tsai, Jeffrey J. P. & Steve Yang. (1995). Monitoring and debugging of distributed real-time systems. IEEE Computer Society Press eBooks. 51 indexed citations
12.
Yang, Steve, et al.. (1974). Multiprocessor performance analysis. 399–399. 4 indexed citations

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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