Su-Hui Chiang

439 total citations
13 papers, 144 citations indexed

About

Su-Hui Chiang is a scholar working on Computer Networks and Communications, Hardware and Architecture and Industrial and Manufacturing Engineering. According to data from OpenAlex, Su-Hui Chiang has authored 13 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 8 papers in Hardware and Architecture and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Su-Hui Chiang's work include Distributed and Parallel Computing Systems (11 papers), Parallel Computing and Optimization Techniques (8 papers) and Scheduling and Optimization Algorithms (5 papers). Su-Hui Chiang is often cited by papers focused on Distributed and Parallel Computing Systems (11 papers), Parallel Computing and Optimization Techniques (8 papers) and Scheduling and Optimization Algorithms (5 papers). Su-Hui Chiang collaborates with scholars based in United States and Thailand. Su-Hui Chiang's co-authors include Mary K. Vernon, Sangsuree Vasupongayya, M.K. Vernon, Sergio Antoy, Daniel W. Brown, Albert Huang and Ming‐Chang Liu and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, ACM SIGMETRICS Performance Evaluation Review and Electronic Notes in Theoretical Computer Science.

In The Last Decade

Su-Hui Chiang

13 papers receiving 134 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Su-Hui Chiang United States 7 130 85 71 33 8 13 144
Grégory Mounié France 7 110 0.8× 49 0.6× 41 0.6× 79 2.4× 2 0.3× 18 146
Raj Vaswani United States 5 268 2.1× 232 2.7× 80 1.1× 41 1.2× 5 0.6× 5 292
Carsten Ernemann Germany 4 166 1.3× 107 1.3× 125 1.8× 17 0.5× 2 0.3× 5 173
Louis-Claude Canon France 9 165 1.3× 79 0.9× 110 1.5× 22 0.7× 5 0.6× 22 187
Daniel Cordeiro Brazil 7 72 0.6× 39 0.5× 42 0.6× 11 0.3× 4 0.5× 22 97
Pierre-François Dutot France 6 91 0.7× 46 0.5× 48 0.7× 35 1.1× 1 0.1× 14 105
Edi Shmueli Israel 7 161 1.2× 104 1.2× 105 1.5× 16 0.5× 2 0.3× 10 170
V. Subramani United States 5 246 1.9× 152 1.8× 168 2.4× 29 0.9× 4 0.5× 5 255
Kurt Windisch United States 8 190 1.5× 151 1.8× 36 0.5× 13 0.4× 2 0.3× 11 208
Lionel Eyraud‐Dubois France 9 164 1.3× 100 1.2× 92 1.3× 14 0.4× 1 0.1× 28 194

Countries citing papers authored by Su-Hui Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Su-Hui Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su-Hui Chiang. 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 Su-Hui Chiang. The network helps show where Su-Hui Chiang may publish in the future.

Co-authorship network of co-authors of Su-Hui Chiang

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

All Works

13 of 13 papers shown
1.
Chiang, Su-Hui, et al.. (2022). Cellular image classification workflow for real-time image based sort decisions. 29–29. 2 indexed citations
2.
Chiang, Su-Hui & Sangsuree Vasupongayya. (2008). Design and Potential Performance of Goal-Oriented Job Scheduling Policies for Parallel Computer Workloads. IEEE Transactions on Parallel and Distributed Systems. 19(12). 1642–1656. 12 indexed citations
3.
Vasupongayya, Sangsuree & Su-Hui Chiang. (2007). Performance problems of using system-predicted runtimes for parallel job scheduling. 369–374. 4 indexed citations
4.
Antoy, Sergio, Daniel W. Brown, & Su-Hui Chiang. (2007). Lazy Context Cloning for Non-Deterministic Graph Rewriting. Electronic Notes in Theoretical Computer Science. 176(1). 3–23. 6 indexed citations
5.
Vasupongayya, Sangsuree & Su-Hui Chiang. (2006). Multi-Objective Models for Scheduling Jobs on Parallel Computer Systems. 2537. 1–6. 3 indexed citations
6.
Vasupongayya, Sangsuree & Su-Hui Chiang. (2005). On Job Fairness in Non-Preemptive Parallel Job Scheduling.. 100–105. 8 indexed citations
7.
Vasupongayya, Sangsuree, et al.. (2005). Search-based Job Scheduling for Parallel Computer Workloads. 1–10. 10 indexed citations
8.
Chiang, Su-Hui, et al.. (2005). Benefit of Limited Time Sharing in the Presence of Very Large Parallel Jobs. 84b–84b. 6 indexed citations
9.
Chiang, Su-Hui & Mary K. Vernon. (2004). Class-Partitioning Job Scheduling for Large-Scale Parallel Systems.. Parallel and Distributed Processing Techniques and Applications. 86(1-2). 193–199. 2 indexed citations
10.
Chiang, Su-Hui & M.K. Vernon. (2002). Production job scheduling for parallel shared memory systems. 10–10. 25 indexed citations
11.
Chiang, Su-Hui & Mary K. Vernon. (2001). Evaluation of parallel job scheduling policies for production scientific workloads. Minds at UW (University of Wisconsin). 1 indexed citations
12.
Chiang, Su-Hui, et al.. (1994). Use of application characteristics and limited preemption for run-to-completion parallel processor scheduling policies. ACM SIGMETRICS Performance Evaluation Review. 22(1). 33–44. 7 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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