Ritchie Zhao

1.7k citations
16 papers · 698 · h-index 13

Impact in

Papers in

Ritchie Zhao

15 papers receiving 687 citations

Peers

Ritchie Zhao
Comparison fields: 5 of 45
  • Hardware and Architecture 347
  • Computer Vision and Pattern Recognition 267
  • Computer Networks and Communications 207
  • Computational Mathematics 5
  • Artificial Intelligence 182
Replace Robert Adolf with:
Robert Adolf United States
David Sheffield United States
Bart Mesman Netherlands
Emmanuel Amaro United States
Xuegong Zhou China
Xulong Tang United States
Venkata Jakkula United States
Hanqing Zeng United States
Victor A. Ying United States
Thomas B. Preußer Germany
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Citations per field
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Citations per year

Countries citing papers authored by Ritchie Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Ritchie Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ritchie Zhao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ritchie Zhao Line = papers co-authored together Ritchie Zhao links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2017307
2 201886
3 201861
4 201738
5
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
201932
6 201532
7 201729
8
ElasticFlow: A Complexity-Effective Approach for Pipelining Irregular Loop Nests
201627
9 201717
10 201916
11 201516
12 201713
13 201712
14 201610
15
Improving Neural Network Quantization using Outlier Channel Splitting
20192
16 20250

About Ritchie Zhao

Ritchie Zhao is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, having authored 16 papers that have together received 698 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (9 papers), Parallel Computing and Optimization Techniques (8 papers), Interconnection Networks and Systems (7 papers), Advanced Neural Network Applications (5 papers), Anomaly Detection Techniques and Applications (4 papers), Image and Signal Denoising Methods (2 papers), Human Pose and Action Recognition (2 papers) and VLSI and FPGA Design Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (347 citations), Computer Vision and Pattern Recognition (267 citations), Computer Networks and Communications (207 citations), Computational Mathematics (5 citations) and Artificial Intelligence (182 citations). Ritchie Zhao has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Zhiru Zhang, Rajesh K. Gupta, Tianwei Xing, Jeng-Hau Lin, Mani Srivastava, Gai Liu, Weinan Song, Wentao Zhang, Steve Dai and Mingxing Tan. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Micro, International Conference on Machine Learning, ArXiv.org and 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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