Zongwei Zhou

925 citations
3 papers · 415 indexed · 2 hit papers · h-index 2
Topics
Parallel Computing and Optimization Techniques (2 papers)Interconnection Networks and Systems (1 paper)Multimodal Machine Learning Applications (1 paper)
Journals
arXiv (Cornell University)
Partner nations
United StatesChina

In The Last Decade

Zongwei Zhou

3 papers receiving 404 citations

Hit Papers

TPU v4: An Optically Reconfigurable Supercomputer fo...20212026202220242023202150100150200

Peers

Zongwei Zhou
Comparison fields: 5 of 57
  • Electrical and Electronic Engineering 175
  • Hardware and Architecture 139
  • Computer Networks and Communications 123
  • Artificial Intelligence 123
  • Computer Vision and Pattern Recognition 82
Replace Guohao Dai with:
Guohao Dai China
Mark Gottscho United States
Jiawen Liu China
Victor A. Ying United States
Guoping Long China
Ching-Hsiang Chu United States
Fabian Schuiki Switzerland
Gabriel Weisz United States
Prasanth Chatarasi United States
Zongwei Zhou relative to Guohao Dai China Guohao Dai's profile →
Citations per field
00.5×1.5×
Guohao Dai · 1×
Citations per year

Countries citing papers authored by Zongwei Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Zongwei Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zongwei Zhou

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

All Works

3 of 3 papers shown
#WorkIndexed citations
1 1
2
TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddingsbreakdown →
215
3
Ten Lessons From Three Generations Shaped Google’s TPUv4i : Industrial Productbreakdown →
199

About Zongwei Zhou

Zongwei Zhou is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 3 papers that have together received 415 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (2 papers), Interconnection Networks and Systems (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Hardware and Architecture (139 citations), Computational Mathematics (9 citations) and Computer Networks and Communications (123 citations). Zongwei Zhou has collaborated with scholars based in United States and China. Frequent co-authors include George Thomas Kurian, Peter Ma, Norman P. Jouppi, Cliff Young, Nishant Patil, Xiang Zhou, Suvinay Subramanian, Sheng Li, David A. Patterson and Lifeng Nai. Their work appears in journals such as arXiv (Cornell University).

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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