Hung-Ching Chang

876 total citations · 1 hit paper
15 papers, 483 citations indexed

About

Hung-Ching Chang is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Hung-Ching Chang has authored 15 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 11 papers in Hardware and Architecture and 5 papers in Information Systems. Recurrent topics in Hung-Ching Chang's work include Parallel Computing and Optimization Techniques (10 papers), Advanced Data Storage Technologies (10 papers) and Cloud Computing and Resource Management (5 papers). Hung-Ching Chang is often cited by papers focused on Parallel Computing and Optimization Techniques (10 papers), Advanced Data Storage Technologies (10 papers) and Cloud Computing and Resource Management (5 papers). Hung-Ching Chang collaborates with scholars based in United States, Taiwan and Kenya. Hung-Ching Chang's co-authors include Kirk W. Cameron, Shuaiwen Leon Song, Dong Li, Xizhou Feng, Rong Ge, Xingfu Wu, Shirley Moore, Valerie Taylor, Dan Terpstra and Abhishek Agrawal and has published in prestigious journals such as Frontiers in Microbiology, BMC Bioinformatics and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Hung-Ching Chang

15 papers receiving 472 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications

2009 274 citations Rong Ge, Xizhou Feng et al. IEEE Transactions on Parallel and Distributed Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hung-Ching Chang United States	10	345	313	217	141	20	15	483
Sivarama P. Dandamudi Canada	11	265 0.8×	454 1.5×	144 0.7×	90 0.6×	26 1.3×	65	521
Paul Carpenter Spain	11	284 0.8×	418 1.3×	223 1.0×	105 0.7×	24 1.2×	45	489
Klaus-Dieter Lange United States	10	192 0.6×	297 0.9×	247 1.1×	137 1.0×	91 4.5×	30	520
Ahmad Yasin Israel	8	309 0.9×	313 1.0×	180 0.8×	113 0.8×	53 2.6×	16	461
Ronald G. Minnich United States	13	415 1.2×	492 1.6×	118 0.5×	146 1.0×	64 3.2×	42	654
Robert Searles United States	5	335 1.0×	306 1.0×	116 0.5×	49 0.3×	46 2.3×	10	405
Bilge Acun United States	10	170 0.5×	208 0.7×	151 0.7×	58 0.4×	90 4.5×	22	391
Puneet Kaur India	6	203 0.6×	223 0.7×	108 0.5×	122 0.9×	57 2.9×	15	373
Ikki Fujiwara Japan	11	92 0.3×	241 0.8×	118 0.5×	115 0.8×	14 0.7×	43	320
Berkin Özıṣıkyılmaz United States	11	253 0.7×	257 0.8×	83 0.4×	101 0.7×	63 3.1×	11	382

Countries citing papers authored by Hung-Ching Chang

Since Specialization

Citations

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

Fields of papers citing papers by Hung-Ching Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung-Ching Chang. 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 Hung-Ching Chang. The network helps show where Hung-Ching Chang may publish in the future.

Co-authorship network of co-authors of Hung-Ching Chang

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

All Works

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15 of 15 papers shown

Chang, Hung-Ching, et al.. (2023). Understanding the need for digital twins’ data in patient advocacy and forecasting oncology. Frontiers in Artificial Intelligence. 6. 1260361–1260361. 10 indexed citations

Wang, Hsin‐Yao, Chia‐Ru Chung, Hung-Ching Chang, et al.. (2022). Efficiently Predicting Vancomycin Resistance of Enterococcus Faecium From MALDI-TOF MS Spectra Using a Deep Learning-Based Approach. Frontiers in Microbiology. 13. 821233–821233. 20 indexed citations

Chang, Hung-Ching, et al.. (2020). Network hub-node prioritization of gene regulation with intra-network association. BMC Bioinformatics. 21(1). 101–101. 12 indexed citations

Chang, Hung-Ching, Bo Li, Godmar Back, Ali R. Butt, & Kirk W. Cameron. (2015). LUC: Limiting the Unintended Consequences of Power Scaling on Parallel Transaction-Oriented Workloads. 72. 324–333. 1 indexed citations

Li, Bo, et al.. (2014). The Power-Performance Tradeoffs of the Intel Xeon Phi on HPC Applications. 1448–1456. 25 indexed citations

Chang, Hung-Ching, Bo Li, Matthew Grove, & Kirk W. Cameron. (2014). How Processor Speedups Can Slow Down I/O Performance. 45. 395–404. 4 indexed citations

Wu, Xingfu, Hung-Ching Chang, Shirley Moore, et al.. (2013). MuMMI. 1–8. 7 indexed citations

Taylor, Valerie, Xingfu Wu, Hung-Ching Chang, et al.. (2013). E-AMOM: an energy-aware modeling and optimization methodology for scientific applications. Computer Science - Research and Development. 29(3-4). 197–210. 21 indexed citations

Wu, Xingfu, Valerie Taylor, Hung-Ching Chang, et al.. (2013). MuMMI: Multiple Metrics Modeling Infrastructure. 289–295. 10 indexed citations

10.

Wu, Xingfu, et al.. (2011). Energy and performance characteristics of different parallel implementations of scientific applications on multicore systems. The International Journal of High Performance Computing Applications. 25(3). 342–350. 28 indexed citations

11.

Chang, Hung-Ching, Abhishek Agrawal, & Kirk W. Cameron. (2011). Energy-aware computing for android platforms. 1–4. 14 indexed citations

12.

Wu, Xingfu, et al.. (2011). Power-aware predictive models of hybrid (MPI/OpenMP) scientific applications on multicore systems. Computer Science - Research and Development. 27(4). 245–253. 46 indexed citations

13.

Ge, Rong, Xizhou Feng, Shuaiwen Leon Song, et al.. (2009). PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications. IEEE Transactions on Parallel and Distributed Systems. 21(5). 658–671. 274 indexed citations breakdown →

14.

Li, Dong, et al.. (2008). System-level, thermal-aware, fully-loaded process scheduling. Proceedings - IEEE International Parallel and Distributed Processing Symposium. 2008. 1–7. 6 indexed citations

15.

Chang, Hung-Ching, et al.. (2005). XScale hardware acceleration on cryptographic algorithms for IPSec applications. 2406. 592–597 Vol. 1. 5 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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