Dezhi Han

517 total citations · 1 hit paper
14 papers, 366 citations indexed

About

Dezhi Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Dezhi Han has authored 14 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Dezhi Han's work include Multimodal Machine Learning Applications (11 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Dezhi Han is often cited by papers focused on Multimodal Machine Learning Applications (11 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Dezhi Han collaborates with scholars based in China, Taiwan and Australia. Dezhi Han's co-authors include Chongqing Chen, Chin‐Chen Chang, Xiang Shen, Jun Wang, Huafeng Wu, Jiahao Zhao, Kuan‐Ching Li, Muhammad Khurram Khan, Zihan Guo and Ammar Oad and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Dezhi Han

11 papers receiving 360 citations

Hit Papers

MPCCT: Multimodal vision-... 2023 2026 2024 2023 25 50 75
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. MPCCT: Multimodal vision-language learning paradigm with context-based compact Transformer
    2023 96 citations Chongqing Chen, Dezhi Han et al. Pattern Recognition profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dezhi Han China 7 165 135 32 27 26 14 366
Qinwei Fan China 15 80 0.5× 272 2.0× 100 3.1× 65 2.4× 98 3.8× 41 639
Mingxia Li China 12 62 0.4× 65 0.5× 72 2.3× 8 0.3× 46 1.8× 63 513
Jiaxin Liu China 12 97 0.6× 53 0.4× 23 0.7× 45 1.7× 63 2.4× 55 468
Yu Gai China 7 89 0.5× 183 1.4× 44 1.4× 56 2.1× 56 2.2× 19 423
Xiaolong Zhu China 10 60 0.4× 63 0.5× 29 0.9× 22 0.8× 28 1.1× 28 341
Tianwei Xu China 11 98 0.6× 87 0.6× 55 1.7× 10 0.4× 33 1.3× 53 371
Wenjie Yu China 11 48 0.3× 28 0.2× 62 1.9× 35 1.3× 47 1.8× 67 343
Gaocheng Liu China 8 91 0.6× 146 1.1× 35 1.1× 16 0.6× 48 1.8× 11 329

Countries citing papers authored by Dezhi Han

Since Specialization
Citations

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

Fields of papers citing papers by Dezhi Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dezhi Han

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

All Works

14 of 14 papers shown
1.
Zhou, Longyu, Dezhi Han, Guangyao Sun, et al.. (2025). Soybean yield estimation and lodging discrimination based on lightweight UAV and point cloud deep learning. Plant Phenomics. 7(2). 100028–100028. 2 indexed citations
2.
Shen, Xiang, Dezhi Han, Chin‐Chen Chang, Ammar Oad, & Huafeng Wu. (2025). GFSNet: Gaussian Fourier with sparse attention network for visual question answering. Artificial Intelligence Review. 58(6). 5 indexed citations
3.
Han, Dezhi, et al.. (2025). SAFFNet: self-attention based on Fourier frequency domain filter network for visual question answering. The Visual Computer. 41(8). 6149–6167. 1 indexed citations
4.
Han, Dezhi, et al.. (2025). Multimodal context-aware consistency alignment for vision-language tasks. Expert Systems with Applications. 295. 128857–128857.
5.
Han, Dezhi, et al.. (2025). GraphSeqGuard: Detecting Ethereum phishing scams via temporally evolving graph sequences. Knowledge-Based Systems. 332. 114895–114895.
6.
Han, Dezhi, et al.. (2024). Vman: visual-modified attention network for multimodal paradigms. The Visual Computer. 41(4). 2737–2754. 39 indexed citations
7.
Han, Dezhi, et al.. (2024). LRCN: Layer-residual Co-Attention Networks for visual question answering. Expert Systems with Applications. 263. 125658–125658. 33 indexed citations
8.
Chen, Chongqing, Dezhi Han, Zihan Guo, & Chin‐Chen Chang. (2024). Towards bias-aware visual question answering: Rectifying and mitigating comprehension biases. Expert Systems with Applications. 264. 125817–125817. 4 indexed citations
9.
10.
Han, Dezhi, et al.. (2024). Relational reasoning and adaptive fusion for visual question answering. Applied Intelligence. 54(6). 5062–5080. 9 indexed citations
11.
Chen, Chongqing, Dezhi Han, & Chin‐Chen Chang. (2023). MPCCT: Multimodal vision-language learning paradigm with context-based compact Transformer. Pattern Recognition. 147. 110084–110084. 96 indexed citations breakdown →
12.
Chen, Chongqing, Dezhi Han, & Xiang Shen. (2023). CLVIN: Complete language-vision interaction network for visual question answering. Knowledge-Based Systems. 275. 110706–110706. 84 indexed citations
13.
Chen, Chongqing, Dezhi Han, & Chin‐Chen Chang. (2022). CAAN: Context-Aware attention network for visual question answering. Pattern Recognition. 132. 108980–108980. 53 indexed citations
14.
Chen, Chongqing, Dezhi Han, & Jun Wang. (2020). Multimodal Encoder-Decoder Attention Networks for Visual Question Answering. IEEE Access. 8. 35662–35671. 40 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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