Eddy Z. Zhang

474 total citations
29 papers, 288 citations indexed

About

Eddy Z. Zhang is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Eddy Z. Zhang has authored 29 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Hardware and Architecture, 18 papers in Computer Networks and Communications and 9 papers in Artificial Intelligence. Recurrent topics in Eddy Z. Zhang's work include Parallel Computing and Optimization Techniques (18 papers), Interconnection Networks and Systems (10 papers) and Advanced Data Storage Technologies (7 papers). Eddy Z. Zhang is often cited by papers focused on Parallel Computing and Optimization Techniques (18 papers), Interconnection Networks and Systems (10 papers) and Advanced Data Storage Technologies (7 papers). Eddy Z. Zhang collaborates with scholars based in United States, Netherlands and Switzerland. Eddy Z. Zhang's co-authors include Shuaiwen Leon Song, Longfei Qiu, Daniel Chavarría-Miranda, Márió Szegedy, Ang Li, Darren J. Kerbyson, Badri Nath, Dingwen Tao, Panruo Wu and Xin Liang and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, ACM SIGPLAN Notices and ACM SIGMETRICS Performance Evaluation Review.

In The Last Decade

Eddy Z. Zhang

28 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eddy Z. Zhang United States 11 157 142 128 50 50 29 288
Kiran Kumar Matam United States 7 119 0.8× 138 1.0× 61 0.5× 49 1.0× 36 0.7× 12 221
Mehdi Amini United States 5 198 1.3× 105 0.7× 124 1.0× 50 1.0× 56 1.1× 6 316
Oleksandr Zinenko United States 6 256 1.6× 120 0.8× 132 1.0× 58 1.2× 63 1.3× 11 373
Benoît Meister United States 10 269 1.7× 191 1.3× 76 0.6× 13 0.3× 40 0.8× 29 344
Sebastian Schlag Germany 7 62 0.4× 77 0.5× 44 0.3× 44 0.9× 64 1.3× 13 177
Benjamin Lipshitz United States 8 191 1.2× 175 1.2× 78 0.6× 33 0.7× 23 0.5× 14 269
William Hasenplaugh United States 9 263 1.7× 277 2.0× 56 0.4× 60 1.2× 47 0.9× 11 380
Simona Boboila United States 7 122 0.8× 291 2.0× 44 0.3× 18 0.4× 30 0.6× 12 325
Hiroki Honda Japan 11 159 1.0× 172 1.2× 28 0.2× 16 0.3× 36 0.7× 37 239
Michael F. Ringenburg United States 7 130 0.8× 127 0.9× 87 0.7× 63 1.3× 55 1.1× 16 286

Countries citing papers authored by Eddy Z. Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Eddy Z. Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eddy Z. Zhang. 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 Eddy Z. Zhang. The network helps show where Eddy Z. Zhang may publish in the future.

Co-authorship network of co-authors of Eddy Z. Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Eddy Z. Zhang. A scholar is included among the top collaborators of Eddy Z. Zhang 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 Eddy Z. Zhang. Eddy Z. Zhang 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.
Guo, Minghao, Henry Chen, Yipeng Huang, et al.. (2025). Genesis: A Compiler for Hamiltonian Simulation on Hybrid CV-DV Quantum Computers. 1583–1597.
2.
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Krsulich, Kevin, et al.. (2023). CaQR: A Compiler-Assisted Approach for Qubit Reuse through Dynamic Circuit. 59–71. 12 indexed citations
5.
6.
Qiu, Longfei, et al.. (2021). Time-optimal Qubit mapping. 360–374. 43 indexed citations
7.
Zhang, Youtao, et al.. (2021). AutoBraid: A Framework for Enabling Efficient Surface Code Communication in Quantum Computing. 925–936. 11 indexed citations
8.
Huang, Jin, et al.. (2019). Decoding CUDA Binary. 5 indexed citations
9.
Salmon, Timothy C., et al.. (2018). Locality-Aware Software Throttling for Sparse Matrix Operation on GPUs. USENIX Annual Technical Conference. 413–426. 6 indexed citations
10.
Zhang, Eddy Z.. (2018). A Simple Yet Effective Graph Partition Model for GPU Computing. 1–2. 2 indexed citations
11.
Chen, Dong, et al.. (2017). LD. ACM Transactions on Architecture and Code Optimization. 14(1). 1–25. 8 indexed citations
12.
He, Jiahuan, et al.. (2017). GPU taint tracking. 209–220. 6 indexed citations
13.
Chavarría-Miranda, Daniel, et al.. (2016). Orion. 1–13. 10 indexed citations
14.
Li, Ang, Shuaiwen Leon Song, Akash Kumar, et al.. (2016). Critical Points Based Register-Concurrency Autotuning for GPUs. 1273–1278. 13 indexed citations
15.
Zhang, Eddy Z., et al.. (2015). Towards a GPU SDN controller. View. 1–5. 10 indexed citations
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Rodero, Iván, et al.. (2014). Exploring energy-performance-quality tradeoffs for scientific workflows with in-situ data analyses. Computer Science - Research and Development. 30(2). 207–218. 8 indexed citations
18.
Zhang, Eddy Z., et al.. (2014). Massive atomics for massive parallelism on GPUs. 93–103. 18 indexed citations
19.
Zhang, Eddy Z., et al.. (2014). Unified on-chip memory allocation for SIMT architecture. 293–302. 21 indexed citations
20.
Zhang, Eddy Z., et al.. (2014). Massive atomics for massive parallelism on GPUs. ACM SIGPLAN Notices. 49(11). 93–103. 10 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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