Duzhen Zhang

444 total citations · 1 hit paper
17 papers, 227 citations indexed

About

Duzhen Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Duzhen Zhang has authored 17 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Duzhen Zhang's work include Domain Adaptation and Few-Shot Learning (6 papers), Topic Modeling (5 papers) and Multimodal Machine Learning Applications (4 papers). Duzhen Zhang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Topic Modeling (5 papers) and Multimodal Machine Learning Applications (4 papers). Duzhen Zhang collaborates with scholars based in China, Hong Kong and United Arab Emirates. Duzhen Zhang's co-authors include Feilong Chen, Bo Xu, Shuang Xu, Jing Shi, Xiuyi Chen, Jiahua Dong, Cong Wei, Dengxin Dai, Henghui Ding and Cong Yang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia and Biologically Inspired Cognitive Architectures.

In The Last Decade

Duzhen Zhang

13 papers receiving 224 citations

Hit Papers

align trajectories

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.

VLP: A Survey on Vision-language Pre-training

2023 118 citations Feilong Chen, Duzhen Zhang et al. arXiv (Cornell University) profile →

Peers

Duzhen Zhang

AI

CVPR

ECP

RNMI

CNC

Anastasia Pentina Austria

Xiuyi Chen China

Jieping Xu China

Amirsina Torfi United States

Mohamed Uvaze Ahamed Ayoobkhan India

Sohail Masood Bhatti Pakistan

Ladislav Lenc Czechia

Dmytro Okhonko United States

Arjun Akula United States

Anastasia Pentina Austria

Duzhen Zhang

160 ×1.1

AI

109 ×0.9

CVPR

6 ×0.3

ECP

14 ×1.2

RNMI

5 ×0.5

CNC

Citations per year, relative to Duzhen Zhang Duzhen Zhang (= 1×) peers Anastasia Pentina

Countries citing papers authored by Duzhen Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Duzhen Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duzhen Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Duzhen Zhang. A scholar is included among the top collaborators of Duzhen 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 Duzhen Zhang. Duzhen Zhang 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:

17 of 17 papers shown

1.

Zhang, Duzhen, et al.. (2025). Federated Incremental Named Entity Recognition. IEEE Transactions on Audio Speech and Language Processing. 33. 1551–1562.

2.

Zhang, Duzhen, Zhongzhi Li, Mingliang Zhang, et al.. (2025). From System 1 to System 2: A Survey of Reasoning Large Language Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(3). 3335–3354.

3.

Zhang, Zhengxin & Duzhen Zhang. (2025). Research on underwater object detection based on frequency domain attention mechanism. 5–5. 1 indexed citations

4.

Zhang, Duzhen, et al.. (2024). Flexible Weight Tuning and Weight Fusion Strategies for Continual Named Entity Recognition. 1351–1358. 1 indexed citations

5.

Cao, Meng, Henghui Ding, Jiahua Dong, et al.. (2024). How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?. 130057–130083.

6.

Zhang, Duzhen, et al.. (2023). Decomposing Logits Distillation for Incremental Named Entity Recognition. 1919–1923. 10 indexed citations

7.

Zhang, Duzhen, Feilong Chen, Jianlong Chang, Xiuyi Chen, & Qi Tian. (2023). Structure Aware Multi-Graph Network for Multi-Modal Emotion Recognition in Conversations. IEEE Transactions on Multimedia. 26. 3987–3997. 9 indexed citations

8.

Zhang, Duzhen, et al.. (2023). Task Relation Distillation and Prototypical Pseudo Label for Incremental Named Entity Recognition. 3319–3329. 8 indexed citations

9.

Zhang, Duzhen, et al.. (2023). RLN: A Residual Lightweight Neural Network for Image Edge Detection. 1–6.

10.

Zhang, Yumin, et al.. (2023). Crucial Semantic Classifier-based Adversarial Learning for Unsupervised Domain Adaptation. 9. 1–8. 3 indexed citations

11.

Zhang, Duzhen, et al.. (2023). Continual Named Entity Recognition without Catastrophic Forgetting. 8186–8197. 6 indexed citations

12.

Zhang, Duzhen, Feilong Chen, & Xiuyi Chen. (2023). DualGATs: Dual Graph Attention Networks for Emotion Recognition in Conversations. 7395–7408. 23 indexed citations

13.

Chen, Feilong, et al.. (2023). VLP: A Survey on Vision-language Pre-training. arXiv (Cornell University). 20(1). 38–56. 118 indexed citations breakdown →

14.

Dong, Jiahua, Duzhen Zhang, Cong Yang, et al.. (2023). Federated Incremental Semantic Segmentation. 3934–3943. 35 indexed citations

15.

Zhang, Duzhen & Zakir Ali. (2019). Top–Down Saliency Detection Based on Deep-Learned Features. International Journal of Computational Intelligence and Applications. 18(2). 6 indexed citations

16.

Zhang, Duzhen & Shue Liu. (2018). Top-Down Saliency Object Localization Based on Deep-Learned Features. 1–9. 3 indexed citations

17.

Zhang, Duzhen & Chuancai Liu. (2014). A salient object detection framework beyond top-down and bottom-up mechanism. Biologically Inspired Cognitive Architectures. 9. 1–8. 4 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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