Zizhao Zhang

8.5k total citations · 1 hit paper
42 papers, 1.6k citations indexed

About

Zizhao Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Zizhao Zhang has authored 42 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Zizhao Zhang's work include Advanced Neural Network Applications (8 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Zizhao Zhang is often cited by papers focused on Advanced Neural Network Applications (8 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Zizhao Zhang collaborates with scholars based in United States, China and United Kingdom. Zizhao Zhang's co-authors include Lin Yang, Tomas Pfister, Fuyong Xing, Xiaoshuang Shi, Yuanpu Xie, Jinzheng Cai, Han Zhang, Chen‐Yu Lee, Xiaoqi Ren and Jennifer Dy and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Zizhao Zhang

41 papers receiving 1.6k citations

Hit Papers

Learning to Prompt for Continual Learning 2022 2026 2023 2024 2022 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Learning to Prompt for Continual Learning
    2022 329 citations Zifeng Wang, Zizhao Zhang et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zizhao Zhang United States 19 824 789 421 98 90 42 1.6k
Camel Tanougast France 23 477 0.6× 838 1.1× 273 0.6× 74 0.8× 100 1.1× 154 1.8k
Long Yu China 20 603 0.7× 554 0.7× 234 0.6× 126 1.3× 120 1.3× 153 1.7k
Şaban Öztürk Türkiye 23 570 0.7× 537 0.7× 456 1.1× 140 1.4× 43 0.5× 63 1.6k
Veronika Cheplygina Netherlands 14 593 0.7× 464 0.6× 381 0.9× 111 1.1× 65 0.7× 24 1.3k
Xiaoyan Li China 19 450 0.5× 370 0.5× 264 0.6× 79 0.8× 131 1.5× 79 1.2k
Yan Pei Japan 23 848 1.0× 448 0.6× 450 1.1× 106 1.1× 65 0.7× 158 1.8k
Xiaoshuang Shi China 25 955 1.2× 884 1.1× 360 0.9× 120 1.2× 108 1.2× 66 1.8k
Sukadev Meher India 18 629 0.8× 872 1.1× 429 1.0× 87 0.9× 46 0.5× 104 1.3k
Changhao Sun China 13 639 0.8× 405 0.5× 423 1.0× 88 0.9× 39 0.4× 23 1.0k
Jia Deng China 5 778 0.9× 1.2k 1.5× 192 0.5× 91 0.9× 42 0.5× 14 1.9k

Countries citing papers authored by Zizhao Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Zizhao Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zizhao Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Zizhao Zhang. A scholar is included among the top collaborators of Zizhao 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 Zizhao Zhang. Zizhao 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
1.
Zheng, Yu-Xiang, Jay J. Cheng, Xuefeng Li, et al.. (2024). OpenResearcher: Unleashing AI for Accelerated Scientific Research. 209–218. 1 indexed citations
2.
Chen, Huiling, Yiqi Huang, Zizhao Zhang, et al.. (2023). Plant image recognition with deep learning: A review. Computers and Electronics in Agriculture. 212. 108072–108072. 64 indexed citations
3.
Wang, Zifeng, Zizhao Zhang, Jacob Devlin, et al.. (2023). QueryForm: A Simple Zero-shot Form Entity Query Framework. 4146–4159. 3 indexed citations
4.
Sohn, Kihyuk, et al.. (2023). Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 5633–5642. 6 indexed citations
5.
Cai, Leon Y., Riqiang Gao, Ho Hin Lee, et al.. (2023). UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation. Medical Image Analysis. 90. 102939–102939. 51 indexed citations
6.
Wang, Zifeng, Zizhao Zhang, Chen‐Yu Lee, et al.. (2022). Learning to Prompt for Continual Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 139–149. 329 indexed citations breakdown →
7.
Zou, Yuliang, Zizhao Zhang, Han Zhang, et al.. (2021). PseudoSeg: Designing Pseudo Labels for Semantic Segmentation. arXiv (Cornell University). 126 indexed citations
8.
Liu, Xin, Rong‐Xian Yue, Zizhao Zhang, & Weng Kee Wong. (2021). G-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm. Soft Computing. 25(21). 13549–13565. 8 indexed citations
9.
Chen, Xing, Sercan Ö. Arık, Zizhao Zhang, & Tomas Pfister. (2020). Distance-Based Learning from Errors for Confidence Calibration. International Conference on Learning Representations. 5 indexed citations
10.
Sohn, Kihyuk, David Berthelot, Chunliang Li, et al.. (2020). FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. Neural Information Processing Systems. 33. 596–608. 28 indexed citations
11.
Zhang, Zizhao, Weng Kee Wong, & Kay Chen Tan. (2020). Competitive swarm optimizer with mutated agents for finding optimal designs for nonlinear regression models with multiple interacting factors. Memetic Computing. 12(3). 219–233. 14 indexed citations
12.
Zhang, Zizhao, et al.. (2019). Reduction of Autophagic Accumulation in Pompe Disease Mouse Model Following Gene Therapy. Current Gene Therapy. 19(3). 197–207. 18 indexed citations
13.
Zhang, Zizhao, Adriana Romero, Matthew J. Muckley, et al.. (2019). Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition. 2049–2053. 59 indexed citations
14.
Cui, Lei, Jun Feng, Zizhao Zhang, & Lin Yang. (2019). High throughput automatic muscle image segmentation using parallel framework. BMC Bioinformatics. 20(1). 158–158. 4 indexed citations
15.
Xing, Fuyong, Yuanpu Xie, Xiaoshuang Shi, et al.. (2019). Towards pixel-to-pixel deep nucleus detection in microscopy images. BMC Bioinformatics. 20(1). 472–472. 30 indexed citations
16.
Wang, Hongyu, Jun Feng, Zizhao Zhang, et al.. (2018). Breast mass classification via deeply integrating the contextual information from multi-view data. Pattern Recognition. 80. 42–52. 57 indexed citations
17.
Cai, Jinzheng, Zizhao Zhang, Lei Cui, Yefeng Zheng, & Lin Yang. (2018). Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network. Medical Image Analysis. 52. 174–184. 65 indexed citations
18.
Cai, Jinzheng, et al.. (2016). Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks. Lecture notes in computer science. 9901. 442–450. 74 indexed citations
19.
Xing, Fuyong, Xiaoshuang Shi, Zizhao Zhang, et al.. (2016). Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation. Lecture notes in computer science. 9902. 183–190. 7 indexed citations
20.
Zhang, Zizhao, Yan Yan, & Hanzi Wang. (2013). Discriminative filter based regression learning for facial expression recognition. 1192–1196. 8 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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