Weijian Deng

2.6k total citations · 1 hit paper
20 papers, 1.0k citations indexed

About

Weijian Deng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Weijian Deng has authored 20 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 4 papers in Media Technology. Recurrent topics in Weijian Deng's work include Domain Adaptation and Few-Shot Learning (5 papers), Machine Learning and Data Classification (4 papers) and Advanced Neural Network Applications (4 papers). Weijian Deng is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Machine Learning and Data Classification (4 papers) and Advanced Neural Network Applications (4 papers). Weijian Deng collaborates with scholars based in Australia, China and Sweden. Weijian Deng's co-authors include Liang Zheng, Jianbin Jiao, Yi Yang, Guoliang Kang, Qixiang Ye, Ping Jia, Arjan Kuijper, Peng Ding, Yifan Sun and Hong-Jie Yuan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Journal of Affective Disorders.

In The Last Decade

Weijian Deng

15 papers receiving 1.0k 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.

Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification

2018 713 citations Weijian Deng, Liang Zheng et al. profile →

Peers

Weijian Deng

CVPR

BE

AI

MT

AE

Aihua Zheng China

Sakrapee Paisitkriangkrai Australia

Joseph Tighe United States

Arne Schumann Germany

Zhanghan Ke Hong Kong

Jinjia Peng China

Jiachen Li China

Huijun Di China

Yingtian Zou Singapore

Aihua Zheng China

Weijian Deng

613 ×0.7

CVPR

71 ×0.3

BE

163 ×0.8

AI

178 ×1.4

MT

75 ×1.4

AE

Citations per year, relative to Weijian Deng Weijian Deng (= 1×) peers Aihua Zheng

Countries citing papers authored by Weijian Deng

Since Specialization

Citations

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

Fields of papers citing papers by Weijian Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijian Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Weijian Deng. A scholar is included among the top collaborators of Weijian Deng 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 Weijian Deng. Weijian Deng 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

1.

Deng, Weijian, et al.. (2025). Toward a Holistic Evaluation of Robustness in CLIP Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(9). 8280–8296.

2.

Deng, Weijian, et al.. (2025). Pos3R: 6D Pose Estimation for Unseen Objects Made Easy. 16818–16828.

3.

Deng, Weijian, et al.. (2025). Analysis of depression status and influencing factors in older women with cardiometabolic-based chronic disease under Health Ecology Model. Journal of Affective Disorders. 395(Pt B). 120774–120774.

4.

Deng, Weijian, et al.. (2025). 3D-GPT: Procedural 3D Modeling with Large Language Models. 1253–1263.

5.

Deng, Weijian, et al.. (2025). Parameter Free Vision Mamba for Lightweight Image Super-Resolution. 2175–2180.

6.

Deng, Weijian, et al.. (2024). Differentiable Neural Surface Refinement for Modeling Transparent Objects. ANU Open Research (Australian National University). 20268–20277. 1 indexed citations

7.

Deng, Weijian, et al.. (2024). Ray Deformation Networks for Novel View Synthesis of Refractive Objects. ANU Open Research (Australian National University). 3106–3116. 1 indexed citations

8.

Deng, Weijian, et al.. (2024). UNAD: Universal Anatomy-Initialized Noise Distribution Learning Framework Towards Low-Dose CT Denoising. 1671–1675. 3 indexed citations

9.

Deng, Weijian, et al.. (2023). Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios. 19276–19285. 2 indexed citations

10.

Deng, Weijian, et al.. (2023). Split to Learn: Gradient Split for Multi-Task Human Image Analysis. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 4340–4349. 1 indexed citations

11.

Deng, Weijian, et al.. (2023). A Bag-of-Prototypes Representation for Dataset-Level Applications. 2881–2892. 3 indexed citations

12.

Deng, Weijian, et al.. (2023). Reparameterized Residual Feature Network For Lightweight Image Super-Resolution. 1712–1721. 18 indexed citations

13.

Deng, Weijian, et al.. (2022). Fine-Grained Classification via Categorical Memory Networks. IEEE Transactions on Image Processing. 31. 4186–4196. 13 indexed citations

14.

Deng, Weijian & Liang Zheng. (2021). AutoEval: Are Labels Always Necessary for Classifier Accuracy Evaluation?. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(3). 1868–1880. 6 indexed citations

15.

Deng, Weijian & Liang Zheng. (2021). Are Labels Always Necessary for Classifier Accuracy Evaluation?. 15064–15073. 34 indexed citations

16.

Deng, Weijian, Liang Zheng, Yifan Sun, & Jianbin Jiao. (2020). Rethinking Triplet Loss for Domain Adaptation. IEEE Transactions on Circuits and Systems for Video Technology. 31(1). 29–37. 64 indexed citations

17.

Zhou, Chaoqun, et al.. (2019). Gentiopicroside Reduces Pain, Pruritus, and Corticosteroid Addictive Dermatitis. Natural Product Communications. 14(9). 3 indexed citations

18.

Lv, Kai, Heming Du, Yunzhong Hou, et al.. (2019). Vehicle Re-Identification with Location and Time Stamps. Computer Vision and Pattern Recognition. 399–406. 10 indexed citations

19.

Deng, Weijian, Liang Zheng, Qixiang Ye, et al.. (2018). Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification. 994–1003. 713 indexed citations breakdown →

20.

Ding, Peng, et al.. (2018). A light and faster regional convolutional neural network for object detection in optical remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing. 141. 208–218. 149 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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