Kevin K. Chang

3.4k total citations
51 papers, 2.1k citations indexed

About

Kevin K. Chang is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Kevin K. Chang has authored 51 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Networks and Communications, 21 papers in Hardware and Architecture and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Kevin K. Chang's work include Parallel Computing and Optimization Techniques (19 papers), Interconnection Networks and Systems (18 papers) and Advanced Data Storage Technologies (9 papers). Kevin K. Chang is often cited by papers focused on Parallel Computing and Optimization Techniques (19 papers), Interconnection Networks and Systems (18 papers) and Advanced Data Storage Technologies (9 papers). Kevin K. Chang collaborates with scholars based in United States, Switzerland and Canada. Kevin K. Chang's co-authors include Onur Mutlu, Amlan Ganguly, Partha Pratim Pande, Sujay Deb, Donghyuk Lee, Rachata Ausavarungnirun, Benjamin J. Belzer, Saugata Ghose, Lavanya Subramanian and Samira Khan and has published in prestigious journals such as Sustainability, IEEE Transactions on Computers and Environmental Science & Policy.

In The Last Decade

Kevin K. Chang

47 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin K. Chang United States 25 1.6k 1.2k 1.0k 210 166 51 2.1k
Robert Mullins United Kingdom 21 1.0k 0.7× 817 0.7× 696 0.7× 238 1.1× 70 0.4× 45 1.5k
T. Bjerregaard Denmark 9 1.2k 0.8× 889 0.7× 574 0.6× 231 1.1× 66 0.4× 17 1.6k
Michihiro Koibuchi Japan 20 1.5k 0.9× 720 0.6× 939 0.9× 152 0.7× 120 0.7× 166 1.6k
Chrysostomos Nicopoulos Cyprus 23 2.1k 1.3× 1.5k 1.2× 1.5k 1.4× 353 1.7× 72 0.4× 107 2.4k
Masoumeh Ebrahimi Finland 25 1.3k 0.9× 701 0.6× 1.0k 1.0× 301 1.4× 34 0.2× 118 1.7k
Shankar Mahadevan Denmark 6 814 0.5× 597 0.5× 375 0.4× 150 0.7× 66 0.4× 8 1.2k
Rachata Ausavarungnirun United States 25 1.6k 1.0× 1.7k 1.4× 899 0.9× 76 0.4× 400 2.4× 64 2.2k
Tien-Fu Chen Taiwan 19 1.0k 0.7× 1.1k 0.9× 566 0.5× 17 0.1× 145 0.9× 88 1.7k
Boris Grot United Kingdom 23 1.9k 1.2× 1.5k 1.2× 741 0.7× 278 1.3× 596 3.6× 81 2.2k
Paul V. Gratz United States 23 1.7k 1.1× 1.3k 1.1× 862 0.8× 319 1.5× 174 1.0× 96 1.9k

Countries citing papers authored by Kevin K. Chang

Since Specialization
Citations

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

Fields of papers citing papers by Kevin K. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin K. 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 Kevin K. Chang. The network helps show where Kevin K. Chang may publish in the future.

Co-authorship network of co-authors of Kevin K. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin K. Chang. A scholar is included among the top collaborators of Kevin K. 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 Kevin K. Chang. Kevin K. Chang 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
1.
Zurba, Melanie, Sandie Suchet‐Pearson, Ryan Bullock, et al.. (2024). Enhancing meaningful Indigenous leadership and collaboration in international environmental governance forums. Environmental Science & Policy. 162. 103864–103864. 3 indexed citations
2.
Winter, Kāwika B., Kevin K. Chang, & Noa Kekuewa Lincoln. (2022). Biocultural Restoration in Hawaiʻi. Directory of Open access Books (OAPEN Foundation). 1 indexed citations
3.
Chang, Kevin K., et al.. (2019). Forecasting Localized Weather-Based Photovoltaic Energy Production. SMU Scholar (Southern Methodist University). 2(2). 2. 1 indexed citations
4.
Fallin, Chris, Xiangyao Yu, Kevin K. Chang, et al.. (2018). HiRD: A Low-Complexity, Energy-Efficient Hierarchical Ring Interconnect. Figshare.
5.
Ghose, Saugata, A. Giray Yağlıkçı, Raghav Gupta, et al.. (2018). What Your DRAM Power Models Are Not Telling You. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 2(3). 1–41. 32 indexed citations
6.
Chang, Kevin K., Hasan Hassan, Saugata Ghose, et al.. (2016). Understanding Latency Variation in Modern DRAM Chips. ACM SIGMETRICS Performance Evaluation Review. 44(1). 323–336. 25 indexed citations
7.
Chang, Kevin K., Prashant J. Nair, Donghyuk Lee, et al.. (2016). Low-Cost Inter-Linked Subarrays (LISA): Enabling fast inter-subarray data movement in DRAM. 568–580. 143 indexed citations
8.
Hsieh, Kevin, Samira Khan, Nandita Vijaykumar, et al.. (2016). Accelerating pointer chasing in 3D-stacked memory: Challenges, mechanisms, evaluation. 25–32. 114 indexed citations
9.
Usui, Hiroyuki, Lavanya Subramanian, Kevin K. Chang, & Onur Mutlu. (2016). DASH. ACM Transactions on Architecture and Code Optimization. 12(4). 1–28. 64 indexed citations
10.
Lee, Donghyuk, Yoongu Kim, Gennady Pekhimenko, et al.. (2015). Adaptive-latency DRAM: Optimizing DRAM timing for the common-case. Figshare. 489–501. 145 indexed citations
11.
Deb, Sujay, Kevin K. Chang, Xinmin Yu, et al.. (2012). Design of an Energy-Efficient CMOS-Compatible NoC Architecture with Millimeter-Wave Wireless Interconnects. IEEE Transactions on Computers. 62(12). 2382–2396. 162 indexed citations
12.
Deb, Sujay, Kevin K. Chang, Amlan Ganguly, et al.. (2012). Design of an efficient NoC architecture using millimeter-wave wireless links. 165–172. 28 indexed citations
13.
Deb, Sujay, Kevin K. Chang, Amlan Ganguly, & Partha Pratim Pande. (2010). Comparative performance evaluation of wireless and optical NoC architectures. 487–492. 12 indexed citations
14.
Guy, Richard, Ben Greenstein, John Hicks, et al.. (2006). Experiences with the Extensible Sensing System ESS. eScholarship (California Digital Library). 19 indexed citations
15.
Chang, Kevin K., Nathan Yau, Mark Hansen, & Deborah Estrin. (2006). SensorBase.org: A Centralized Repository to Slog Sensor Network Data (KNO 2). Center for Embedded Network Sensing. 28 indexed citations
16.
Hamilton, Michael, Phil Rundel, Eric Graham, et al.. (2006). TER 0: TEOS: Terrestrial Ecology Observing Systems Overview of Embedded Networked Systems and EMISSARY Tools for Instrument Management and Data Exploration. eScholarship (California Digital Library). 2 indexed citations
17.
Olivier, Scot S., et al.. (2006). Large scale nanolaminate deformable mirror. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6113. 61130Q–61130Q. 2 indexed citations
18.
Ramanathan, Nithya, et al.. (2005). A Debugging System for Sensor Networks. eScholarship (California Digital Library). 1 indexed citations
19.
Chang, Kevin K. & David Gay. (2005). Language support for interoperable messaging in sensor networks. 1–9. 10 indexed citations
20.
Yang, Chih‐Yung, et al.. (2003). Synthesizing the Technologies of Web Services and Intelligent Agents to Build an HL7/XML-Based Infectious Disease Reporting System.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026