John Wuu

433 total citations
14 papers, 253 citations indexed

About

John Wuu is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, John Wuu has authored 14 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hardware and Architecture, 8 papers in Electrical and Electronic Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in John Wuu's work include Parallel Computing and Optimization Techniques (8 papers), Embedded Systems Design Techniques (6 papers) and Interconnection Networks and Systems (5 papers). John Wuu is often cited by papers focused on Parallel Computing and Optimization Techniques (8 papers), Embedded Systems Design Techniques (6 papers) and Interconnection Networks and Systems (5 papers). John Wuu collaborates with scholars based in United States, Canada and South Korea. John Wuu's co-authors include Raja Swaminathan, Rahul Agarwal, Patrick Cheng, Dave Johnson, Samuel Naffziger, Brett C. Johnson, Alan Smith, Chintan Patel, Hyun‐Jin Cho and W. Maszara and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Solid-State Circuits Magazine and 2022 IEEE International Solid- State Circuits Conference (ISSCC).

In The Last Decade

John Wuu

12 papers receiving 229 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Wuu United States 7 196 97 68 19 13 14 253
Norman Robson United States 12 269 1.4× 124 1.3× 38 0.6× 24 1.3× 9 0.7× 29 300
C.C. Liu United States 6 270 1.4× 152 1.6× 146 2.1× 30 1.6× 13 1.0× 10 342
Boris Vaisband United States 11 248 1.3× 46 0.5× 43 0.6× 14 0.7× 10 0.8× 42 270
P. Parries United States 10 230 1.2× 114 1.2× 95 1.4× 19 1.0× 4 0.3× 19 273
Hongjung Kim South Korea 7 274 1.4× 102 1.1× 86 1.3× 18 0.9× 20 1.5× 14 334
Mikhail Popovich United States 13 399 2.0× 54 0.6× 52 0.8× 33 1.7× 5 0.4× 27 417
Kwangok Jeong United States 13 347 1.8× 141 1.5× 41 0.6× 47 2.5× 5 0.4× 36 385
Fabrice Caignet France 11 363 1.9× 89 0.9× 46 0.7× 34 1.8× 6 0.5× 37 376
Robert Sankman United States 5 301 1.5× 79 0.8× 42 0.6× 54 2.8× 14 1.1× 8 336
Sukeshwar Kannan United States 12 328 1.7× 78 0.8× 25 0.4× 37 1.9× 31 2.4× 46 361

Countries citing papers authored by John Wuu

Since Specialization
Citations

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

Fields of papers citing papers by John Wuu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Wuu

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

All Works

14 of 14 papers shown
2.
Wuu, John, Mike Mantor, Gabriel H. Loh, et al.. (2024). Coevolution of Chiplet Technology and Cache Architecture for AI and Compute. 1–4. 2 indexed citations
4.
Smith, Alan, et al.. (2024). AMD Instinct™ MI300X Accelerator: Packaging and Architecture Co-Optimization. 1–2. 2 indexed citations
5.
Cheng, Patrick, et al.. (2024). 3.5D Advanced Packaging Enabling Heterogenous Integration of HPC and AI Accelerators. 798–802. 4 indexed citations
6.
Chang, Tsung-Yung Jonathan, et al.. (2023). A Trip Down Memory Lane: Reflections on the progress in memories. IEEE Solid-State Circuits Magazine. 15(3). 53–61. 1 indexed citations
7.
Wuu, John, Rahul Agarwal, Brett C. Johnson, et al.. (2022). 3D V-Cache: the Implementation of a Hybrid-Bonded 64MB Stacked Cache for a 7nm x86-64 CPU. 2022 IEEE International Solid- State Circuits Conference (ISSCC). 428–429. 48 indexed citations
8.
Agarwal, Rahul, et al.. (2022). 3D Packaging for Heterogeneous Integration. 2022 IEEE 72nd Electronic Components and Technology Conference (ECTC). 1103–1107. 61 indexed citations
9.
Wuu, John, et al.. (2011). An 8MB level-3 cache in 32nm SOI with column-select aliasing. 258–260. 5 indexed citations
10.
Gupta, Rajesh, et al.. (2010). 32nm high-density high-speed T-RAM embedded memory technology. 12.1.1–12.1.4. 18 indexed citations
11.
Wuu, John, et al.. (2009). A 2ns-read-latency 4Mb embedded floating-body memory macro in 45nm SOI technology. 460–461,461a. 9 indexed citations
12.
Wuu, John, et al.. (2005). The asynchronous 24MB on-chip level-3 cache for a dual-core Itanium-family processor. 488–490. 33 indexed citations
13.
Wuu, John, et al.. (2002). The on-chip 3-MB subarray-based third-level cache on an Itanium microprocessor. IEEE Journal of Solid-State Circuits. 37(11). 1523–1529. 52 indexed citations
14.
Wuu, John, et al.. (2002). An on-chip 3MB subarray-based 3rd level cache on an itanium microprocessor. 2002 IEEE International Solid-State Circuits Conference. Digest of Technical Papers (Cat. No.02CH37315). 88–413. 4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026