Mei-Chen Hsueh

1.1k total citations · 1 hit paper
15 papers, 679 citations indexed

About

Mei-Chen Hsueh is a scholar working on Computer Networks and Communications, Software and Electrical and Electronic Engineering. According to data from OpenAlex, Mei-Chen Hsueh has authored 15 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 9 papers in Software and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Mei-Chen Hsueh's work include Software Reliability and Analysis Research (9 papers), Software System Performance and Reliability (7 papers) and Radiation Effects in Electronics (5 papers). Mei-Chen Hsueh is often cited by papers focused on Software Reliability and Analysis Research (9 papers), Software System Performance and Reliability (7 papers) and Radiation Effects in Electronics (5 papers). Mei-Chen Hsueh collaborates with scholars based in United States, Australia and Germany. Mei-Chen Hsueh's co-authors include Ravishankar K. Iyer, Timothy Tsai, R.K. Iyer, Zbigniew Kalbarczyk, Dong Tang, M. Covington, Haiming Jin and Injoong Chang and has published in prestigious journals such as Computer, IEEE Transactions on Power Delivery and IEEE Transactions on Computers.

In The Last Decade

Mei-Chen Hsueh

14 papers receiving 614 citations

Hit Papers

Fault injection techniques and tools 1997 2026 2006 2016 1997 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mei-Chen Hsueh United States 6 369 295 274 255 103 15 679
J.-C. Fabre France 11 385 1.0× 294 1.0× 423 1.5× 324 1.3× 183 1.8× 25 811
Yves Crouzet France 12 644 1.7× 510 1.7× 341 1.2× 457 1.8× 92 0.9× 29 1.0k
Eliane Martins Brazil 15 405 1.1× 558 1.9× 334 1.2× 285 1.1× 153 1.5× 70 961
Vivek Nair United States 9 196 0.5× 187 0.6× 310 1.1× 157 0.6× 131 1.3× 42 626
Dong Tang United States 13 258 0.7× 277 0.9× 349 1.3× 171 0.7× 60 0.6× 34 607
João Gabriel Silva Portugal 13 375 1.0× 202 0.7× 441 1.6× 339 1.3× 72 0.7× 61 751
Jaynarayan H. Lala United States 11 188 0.5× 132 0.4× 406 1.5× 351 1.4× 63 0.6× 42 633
Arshad Jhumka United Kingdom 17 201 0.5× 242 0.8× 688 2.5× 114 0.4× 202 2.0× 97 924
Pradeep Ramachandran United States 14 783 2.1× 144 0.5× 366 1.3× 562 2.2× 110 1.1× 28 909
Shyue-Kung Lu Taiwan 12 409 1.1× 108 0.4× 180 0.7× 361 1.4× 26 0.3× 97 678

Countries citing papers authored by Mei-Chen Hsueh

Since Specialization
Citations

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

Fields of papers citing papers by Mei-Chen Hsueh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei-Chen Hsueh. 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 Mei-Chen Hsueh. The network helps show where Mei-Chen Hsueh may publish in the future.

Co-authorship network of co-authors of Mei-Chen Hsueh

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

All Works

15 of 15 papers shown
1.
Hsueh, Mei-Chen. (2007). Adaptive Service Level Management. 451–451. 3 indexed citations
2.
Jin, Haiming, Ravishankar K. Iyer, Mei-Chen Hsueh, & M. Covington. (2002). FAMAS: FAult Modeling via Adaptive Simulation. 413–417. 3 indexed citations
3.
Hsueh, Mei-Chen. (2002). Large complex system test: objectives and approaches. 405–408. 1 indexed citations
5.
Iyer, Ravishankar K., et al.. (2002). Fault/failure analysis of the Tandem NonStop-UX operating system. 491–497. 1 indexed citations
6.
Hsueh, Mei-Chen, et al.. (2002). Dependability analysis of a commercial high-speed network. 248–257. 11 indexed citations
7.
8.
Hsueh, Mei-Chen. (2002). Distributed multicomputer system availability based on measurements: A case study. 78–84. 1 indexed citations
9.
Hsueh, Mei-Chen. (2002). Large complex system test. 1. 276–284. 2 indexed citations
10.
Tsai, Timothy, et al.. (1999). Stress-based and path-based fault injection. IEEE Transactions on Computers. 48(11). 1183–1201. 39 indexed citations
11.
Hsueh, Mei-Chen, et al.. (1998). Dependability analysis of a high-speed network using software-implemented fault injection and simulated fault injection. IEEE Transactions on Computers. 47(1). 108–119. 24 indexed citations
12.
Hsueh, Mei-Chen, Timothy Tsai, & Ravishankar K. Iyer. (1997). Fault injection techniques and tools. Computer. 30(4). 75–82. 553 indexed citations breakdown →
13.
Tang, Dong, et al.. (1993). Measurement-based evaluation of operating system fault tolerance. IEEE Transactions on Reliability. 42(2). 238–249. 22 indexed citations
14.
Hsueh, Mei-Chen, et al.. (1990). Application of a microcomputer-based database management system to distribution system reliability evaluation. IEEE Transactions on Power Delivery. 5(1). 343–350. 14 indexed citations
15.
Iyer, R.K. & Mei-Chen Hsueh. (1987). Measurement-based reliability/performability models. 3 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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