Steve Chan

792 total citations
44 papers, 570 citations indexed

About

Steve Chan is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Steve Chan has authored 44 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 16 papers in Control and Systems Engineering and 7 papers in Computer Networks and Communications. Recurrent topics in Steve Chan's work include Power System Optimization and Stability (12 papers), Power Systems Fault Detection (6 papers) and Smart Grid Security and Resilience (5 papers). Steve Chan is often cited by papers focused on Power System Optimization and Stability (12 papers), Power Systems Fault Detection (6 papers) and Smart Grid Security and Resilience (5 papers). Steve Chan collaborates with scholars based in United States, United Kingdom and Australia. Steve Chan's co-authors include W.F. Tinney, V. Brandwajn, Fred C. Schweppe, D. Curtice, D.C. Powell, Michael Athans, R. H. Maurer, R. L. Cresap, Reid Bailey and Marwan Krunz and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Journal of the Association for Information Systems.

In The Last Decade

Steve Chan

35 papers receiving 528 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 Chan United States 12 471 212 103 38 38 44 570
Ancheng Xue China 16 576 1.2× 325 1.5× 111 1.1× 80 2.1× 46 1.2× 109 768
Gurunath Gurrala India 15 715 1.5× 503 2.4× 118 1.1× 55 1.4× 20 0.5× 71 824
Jay Giri United States 14 472 1.0× 351 1.7× 67 0.7× 50 1.3× 46 1.2× 29 556
A. Debs United States 13 1.1k 2.2× 565 2.7× 143 1.4× 89 2.3× 33 0.9× 34 1.2k
Shrirang Abhyankar United States 13 306 0.6× 196 0.9× 34 0.3× 24 0.6× 16 0.4× 38 416
S. Virmani United States 5 1.1k 2.4× 531 2.5× 173 1.7× 68 1.8× 65 1.7× 7 1.2k
F.L. Alvarado United States 16 898 1.9× 427 2.0× 168 1.6× 17 0.4× 45 1.2× 25 1.0k
Hsiao-Dong Chiang United States 11 825 1.8× 418 2.0× 221 2.1× 67 1.8× 30 0.8× 15 984
Catalina Gómez‐Quiles Spain 12 757 1.6× 433 2.0× 66 0.6× 67 1.8× 67 1.8× 25 842
Antonio de la Villa Jaén Spain 16 931 2.0× 621 2.9× 97 0.9× 74 1.9× 70 1.8× 38 1.1k

Countries citing papers authored by Steve Chan

Since Specialization
Citations

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

Fields of papers citing papers by Steve Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Chan. A scholar is included among the top collaborators of Steve Chan 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 Chan. Steve Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
6.
7.
Chan, Steve, et al.. (2020). Monitoring and Alarm System Timing Analysis for an Interconnecting Grid. 11. 437–443. 1 indexed citations
9.
Chan, Steve. (2018). Prototype Orchestration Framework as a High Exposure Dimension Cyber Defense Accelerant Amidst Ever-Increasing Cycles of Adaptation by Attackers: A Modified Deep Belief Network Accelerated by a Stacked Generative Adversarial Network for Enhanced Event Correlation. 1 indexed citations
10.
Chan, Steve, et al.. (2016). Ocean data vulnerability to cyber manipulation and consequences for infrastructural resilience. 1. 672–680. 1 indexed citations
12.
Picking, Richard, et al.. (2012). Secure Military Social Networking and Rapid Sensemaking in Domain Specific Concept Systems: Research Issues and Future Solutions. SHILAP Revista de lepidopterología. 2 indexed citations
13.
14.
Chan, Steve, et al.. (2002). Auto-check circuit breaker interrupting capabilities. IEEE Computer Applications in Power. 15(1). 24–28. 11 indexed citations
15.
Tinney, W.F., V. Brandwajn, & Steve Chan. (1985). Sparse Vector Methods. IEEE Power Engineering Review. PER-5(2). 32–32. 2 indexed citations
16.
Chan, Steve, R. L. Cresap, & D. Curtice. (1984). Wind Turbine Cluster Model. IEEE Transactions on Power Apparatus and Systems. PAS-103(7). 1692–1698. 14 indexed citations
17.
Chan, Steve, et al.. (1983). Operations Requirements of Utilities with Wind Power Generation. IEEE Power Engineering Review. PER-3(9). 22–22. 22 indexed citations
18.
Schenk, K., et al.. (1980). Evaluation of production costs and capacity credits of a wind energy conversion system supplying an electric utility. 4. 1 indexed citations
19.
Lehtomaki, N., et al.. (1979). Robust control of multiterminal dc/ac systems. 886–896. 4 indexed citations
20.
Chan, Steve, et al.. (1979). A Solution of the Transmission Limited Dispatch Problem by Sparse Linear Programming. IEEE Transactions on Power Apparatus and Systems. PAS-98(3). 1044–1053. 23 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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