Zhiru Zhang

7.0k total citations · 1 hit paper
163 papers, 4.2k citations indexed

About

Zhiru Zhang is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Zhiru Zhang has authored 163 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Hardware and Architecture, 61 papers in Computer Networks and Communications and 51 papers in Electrical and Electronic Engineering. Recurrent topics in Zhiru Zhang's work include Embedded Systems Design Techniques (75 papers), Parallel Computing and Optimization Techniques (61 papers) and Interconnection Networks and Systems (49 papers). Zhiru Zhang is often cited by papers focused on Embedded Systems Design Techniques (75 papers), Parallel Computing and Optimization Techniques (61 papers) and Interconnection Networks and Systems (49 papers). Zhiru Zhang collaborates with scholars based in United States, China and United Kingdom. Zhiru Zhang's co-authors include Jason Cong, Stephen Neuendorffer, Kees Vissers, Yiping Fan, Bin Liu, Juanjo Noguera, Gai Liu, G. Edward Suh, Ritchie Zhao and Steve Dai and has published in prestigious journals such as Bioinformatics, IEEE Journal of Solid-State Circuits and Cell Death and Disease.

In The Last Decade

Zhiru Zhang

156 papers receiving 4.1k citations

Hit Papers

High-Level Synthesis for FPGAs: From Prototyping to Deplo... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers

Zhiru Zhang
Comparison fields: 5 of 129
  • Hardware and Architecture 2.6k
  • Electrical and Electronic Engineering 1.6k
  • Computer Networks and Communications 1.5k
  • Artificial Intelligence 774
  • Computer Vision and Pattern Recognition 647
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Chun Jason Xue Hong Kong
Ye‐Qiong Song France
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Tianshi Chen China
Christopher Gill United States
Mikel Luján United Kingdom
Tao Luo China
Kung United States
Hayden Kwok‐Hay So Hong Kong
Peng Li China View profile →
Citations per field, relative to Zhiru Zhang
Zhiru Zhang · 1×
Citations per year, relative to Zhiru Zhang
Zhiru Zhang · 1×

Countries citing papers authored by Zhiru Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Zhiru Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiru Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiru Zhang. A scholar is included among the top collaborators of Zhiru 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 Zhiru Zhang. Zhiru 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
# Work Indexed citations
1 0
2 3
3 1
4 10
5 9
6 3
7 4
8 0
9 1
10 7
11 5
12 2
13 45
14 6
15 146
16 78
17
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
32
18 99
19 11
20 11

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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