Ritchie Zhao

1.6k citations
15 papers · 660 indexed · h-index 12

Impact in

Papers in

Journals
IEEE Micro (1 paper)IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (1 paper)International Conference on Machine Learning (1 paper)arXiv (Cornell University) (1 paper)ArXiv.org (1 paper)

In The Last Decade

Ritchie Zhao

14 papers receiving 649 citations

Peers

Ritchie Zhao
Comparison fields: 5 of 45
  • Hardware and Architecture 317
  • Computer Vision and Pattern Recognition 263
  • Computational Mathematics 5
  • Computer Networks and Communications 181
  • Artificial Intelligence 180
Replace Robert Adolf with:
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Ritchie Zhao relative to Robert Adolf United States Robert Adolf's profile →
Citations per field
00.5×1.5×
Robert Adolf · 1×
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

15 of 15 papers shown
#Work
1 20250
2
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
201932
3
Improving Neural Network Quantization using Outlier Channel Splitting
20192
4 201916
5 201884
6 201859
7 201711
8 201738
9 201729
10 2017303
11 201717
12 201713
13 20169
14 201515
15 201532

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 Oral Surgery, having authored 15 papers that have together received 660 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (8 papers), Interconnection Networks and Systems (7 papers), Parallel Computing and Optimization Techniques (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 (317 citations), Computer Vision and Pattern Recognition (263 citations), Computational Mathematics (5 citations), Computer Networks and Communications (181 citations) and Artificial Intelligence (180 citations). Ritchie Zhao has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Zhiru Zhang, Rajesh K. Gupta, Jeng-Hau Lin, Mani Srivastava, Tianwei Xing, Wentao Zhang, Weinan Song, Gai Liu, Steve Dai and Mingxing Tan. Their work appears in journals such as IEEE Micro, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, International Conference on Machine Learning, arXiv (Cornell University) and ArXiv.org.

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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