Yiren Zhao

806 total citations
22 papers, 138 citations indexed

About

Yiren Zhao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Yiren Zhao has authored 22 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Yiren Zhao's work include Advanced Neural Network Applications (8 papers), Adversarial Robustness in Machine Learning (6 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Yiren Zhao is often cited by papers focused on Advanced Neural Network Applications (8 papers), Adversarial Robustness in Machine Learning (6 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Yiren Zhao collaborates with scholars based in United Kingdom, China and United States. Yiren Zhao's co-authors include Chengzhong Xu, Xitong Gao, Robert Mullins, George A. Constantinides, Xingjian Li, Dejing Dou, Ilia Shumailov, Łukasz Dudziak, John Wickerson and Erwei Wang and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Plant Biochemistry and Biotechnology and Spiral (Imperial College London).

In The Last Decade

Yiren Zhao

19 papers receiving 137 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yiren Zhao United Kingdom	6	77	70	31	11	8	22	138
Vikash Sehwag United States	5	33 0.4×	76 1.1×	11 0.4×	6 0.5×	5 0.6×	12	109
Jinmian Ye China	6	79 1.0×	91 1.3×	17 0.5×	19 1.7×	2 0.3×	7	160
Sondre Rønjom Norway	5	54 0.7×	116 1.7×	51 1.6×	13 1.2×		8	120
Yonglin Hao China	5	67 0.9×	103 1.5×	10 0.3×	19 1.7×		17	124
Priscila Machado Vieira Lima Brazil	5	36 0.5×	64 0.9×	19 0.6×	4 0.4×		18	107
Mary Phuong Austria	4	78 1.0×	113 1.6×	12 0.4×	3 0.3×	2 0.3×	6	159
Jiqiang Lu Singapore	6	67 0.9×	71 1.0×	8 0.3×	11 1.0×		20	92
Seyed Iman Mirzadeh United States	6	72 0.9×	89 1.3×	8 0.3×	7 0.6×		14	145
Chun Guo China	6	71 0.9×	112 1.6×	17 0.5×	27 2.5×		28	125
Kyoji Shibutani Taiwan	4	81 1.1×	109 1.6×	11 0.4×	19 1.7×		10	124

Countries citing papers authored by Yiren Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Yiren Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiren Zhao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Miao, Congcong, Zhizhen Zhong, Yiren Zhao, et al.. (2025). PreTE: Traffic Engineering with Predictive Failures. 780–795.

Langford, Harry, Ilia Shumailov, Yiren Zhao, Robert F. Mullins, & Nicolas Papernot. (2025). Architectural Neural Backdoors from First Principles. 1657–1675.

Ali, Fawad, Yiren Zhao, Mian Abdur Rehman Arif, et al.. (2025). Status and prospects of omics in lentil: understanding mechanisms and impact on stress breeding under changing climate. Journal of Plant Biochemistry and Biotechnology. 34(1). 79–101. 3 indexed citations

Zhang, Zixi, et al.. (2025). LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation. 133–137. 2 indexed citations

Zhang, Cheng, et al.. (2024). HASS: Hardware-Aware Sparsity Search for Dataflow DNN Accelerator. 257–263.

Ali, Fawad, Yiren Zhao, Muhammad Waseem, et al.. (2024). Omics-Driven Strategies for Developing Saline-Smart Lentils: A Comprehensive Review. International Journal of Molecular Sciences. 25(21). 11360–11360. 3 indexed citations

Shumailov, Ilia, et al.. (2024). ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks. 344–357. 4 indexed citations

Miao, Congcong, Zhizhen Zhong, Ying Zhang, et al.. (2023). FlexWAN: Software Hardware Co-design for Cost-Effective and Resilient Optical Backbones. 319–332. 2 indexed citations

Gao, Xitong, et al.. (2023). Adaptive Channel Sparsity for Federated Learning under System Heterogeneity. 20432–20441. 6 indexed citations

10.

Zhang, Cheng, et al.. (2023). Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference?. Edinburgh Research Explorer. 9988–10006. 3 indexed citations

11.

Zhou, Yulin, Yiren Zhao, Ilia Shumailov, Robert F. Mullins, & Yarin Gal. (2023). Revisiting Automated Prompting: Are We Actually Doing Better?. 1822–1832. 2 indexed citations

12.

Shumailov, Ilia, et al.. (2021). Markpainting: Adversarial Machine Learning meets Inpainting. International Conference on Machine Learning. 5409–5419. 5 indexed citations

13.

Gao, Xitong, et al.. (2020). Pay Attention to Features, Transfer Learn faster CNNs. International Conference on Learning Representations. 30 indexed citations

14.

Gao, Xitong, Yiren Zhao, Łukasz Dudziak, Robert Mullins, & Chengzhong Xu. (2019). Dynamic channel pruning: Feature boosting and suppression. Apollo (University of Cambridge). 19 indexed citations

15.

Zhao, Yiren, Xitong Gao, Junyi Liu, et al.. (2019). Automatic Generation of Multi-Precision Multi-Arithmetic CNN Accelerators for FPGAs. 45–53. 27 indexed citations

16.

Zhao, Yiren, Ilia Shumailov, Robert Mullins, & Ross Anderson. (2019). To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression. Apollo (University of Cambridge). 1. 230–240. 1 indexed citations

17.

Zhao, Yiren, et al.. (2019). Focused Quantization for Sparse CNNs. arXiv (Cornell University). 32. 5584–5593. 5 indexed citations

18.

Mahmoud, Mostafa, et al.. (2019). Characterizing Sources of Ineffectual Computations in Deep Learning Networks. abs 1612 8242. 165–176. 3 indexed citations

19.

Zhao, Yiren, Xitong Gao, Robert Mullins, & Chengzhong Xu. (2018). Mayo. 25–30. 4 indexed citations

20.

Zhao, Yiren, John Wickerson, & George A. Constantinides. (2016). An efficient implementation of online arithmetic. Spiral (Imperial College London). 69–76. 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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