Jiwei Wei

657 total citations · 1 hit paper
31 papers, 413 citations indexed

About

Jiwei Wei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Jiwei Wei has authored 31 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 3 papers in Information Systems. Recurrent topics in Jiwei Wei's work include Multimodal Machine Learning Applications (15 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Domain Adaptation and Few-Shot Learning (11 papers). Jiwei Wei is often cited by papers focused on Multimodal Machine Learning Applications (15 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Domain Adaptation and Few-Shot Learning (11 papers). Jiwei Wei collaborates with scholars based in China, Singapore and South Korea. Jiwei Wei's co-authors include Heng Tao Shen, Yang Yang, Xing Xu, Guoqing Wang, Zheng Wang, Yang Yang, Yuhui Wu, Chongyi Li, Xiaofeng Zhu and Yanli Ji and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Journal of Autism and Developmental Disorders.

In The Last Decade

Jiwei Wei

27 papers receiving 406 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.

Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement

2023 111 citations Yuhui Wu, Guoqing Wang et al. profile →

Peers

Jiwei Wei

CVPR

AI

MT

SP

IS

Jen-Hao Hsiao United States

Leonardo Galteri Italy

Kaiyang Liao China

Huamin Feng China

N.J. Leite Brazil

Khawaja Tehseen Ahmed Pakistan

Zhiqing Guo China

Bei Li China

Sid Ahmed Fezza France

Jen-Hao Hsiao United States

Jiwei Wei

490 ×1.4

CVPR

95 ×0.6

AI

35 ×0.6

MT

34 ×1.5

SP

13 ×0.8

IS

Citations per year, relative to Jiwei Wei Jiwei Wei (= 1×) peers Jen-Hao Hsiao

Countries citing papers authored by Jiwei Wei

Since Specialization

Citations

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

Fields of papers citing papers by Jiwei Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiwei Wei

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

Wei, Jiwei, et al.. (2025). Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation. 31–41. 1 indexed citations

2.

Wei, Jiwei, et al.. (2025). CMNet: Cross-Modal Coarse-to-Fine Network for Point Cloud Completion Based on Patches. IEEE Transactions on Circuits and Systems for Video Technology. 35(9). 9132–9147.

3.

Ran, Ran, Jiwei Wei, Yuyang Zhou, et al.. (2025). Fine-Grained Alignment and Interaction for Video Grounding With Cross-Modal Semantic Hierarchical Graph. IEEE Transactions on Circuits and Systems for Video Technology. 35(11). 11641–11654.

4.

Ran, Ran, et al.. (2025). CDTR: Semantic Alignment for Video Moment Retrieval Using Concept Decomposition Transformer. Proceedings of the AAAI Conference on Artificial Intelligence. 39(6). 6684–6692. 1 indexed citations

5.

Ran, Ran, Jiwei Wei, Chaoning Zhang, et al.. (2024). Adaptive Multi-scale Degradation-Based Attack for Boosting the Adversarial Transferability. IEEE Transactions on Multimedia. 26. 10979–10990. 1 indexed citations

6.

Bin, Yi, et al.. (2024). Align and Retrieve: Composition and Decomposition Learning in Image Retrieval With Text Feedback. IEEE Transactions on Multimedia. 26. 9936–9948. 6 indexed citations

7.

Wang, Zheng, Xing Xu, Jiwei Wei, et al.. (2024). Semantics Disentangling for Cross-Modal Retrieval. IEEE Transactions on Image Processing. 33. 2226–2237. 15 indexed citations

8.

Wei, Jiwei, et al.. (2024). Runge-Kutta Guided Feature Augmentation for Few-Sample Learning. IEEE Transactions on Multimedia. 26. 7349–7358. 2 indexed citations

9.

Wei, Jiwei, et al.. (2024). Improving Pre-Trained Model-Based Speech Emotion Recognition From a Low-Level Speech Feature Perspective. IEEE Transactions on Multimedia. 26. 10623–10636. 1 indexed citations

10.

Liu, Zhitao, et al.. (2024). CDPNet: Cross-Modal Dual Phases Network for Point Cloud Completion. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 1635–1643. 3 indexed citations

11.

Wang, Z.G., Yuhui Wu, Zheng Wang, et al.. (2024). Cascaded Adversarial Attack: Simultaneously Fooling Rain Removal and Semantic Segmentation Networks. 2136–2145.

12.

Wei, Jiwei, et al.. (2024). Set of Diverse Queries With Uncertainty Regularization for Composed Image Retrieval. IEEE Transactions on Circuits and Systems for Video Technology. 34(10). 10494–10506. 2 indexed citations

13.

Wang, Zheng, et al.. (2023). Quaternion Representation Learning for cross-modal matching. Knowledge-Based Systems. 270. 110505–110505. 10 indexed citations

14.

Bin, Yi, et al.. (2023). Cross-modal Consistency Learning with Fine-grained Fusion Network for Multimodal Fake News Detection. 1–7. 7 indexed citations

15.

Wu, Yuhui, Guoqing Wang, Yang Yang, et al.. (2023). Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement. 1662–1671. 111 indexed citations breakdown →

16.

Wei, Jiwei, et al.. (2023). Open-Scenario Domain Adaptive Object Detection in Autonomous Driving. 8453–8462. 1 indexed citations

17.

Wei, Jiwei, et al.. (2022). Use of Oculomotor Behavior to Classify Children with Autism and Typical Development: A Novel Implementation of the Machine Learning Approach. Journal of Autism and Developmental Disorders. 53(3). 934–946. 4 indexed citations

18.

Wei, Jiwei, Yang Yang, Xing Xu, Xiaofeng Zhu, & Heng Tao Shen. (2021). Universal Weighting Metric Learning for Cross-Modal Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(10). 6534–6545. 67 indexed citations

19.

Wei, Jiwei, Xing Xu, Yang Yang, et al.. (2020). Universal Weighting Metric Learning for Cross-Modal Matching. 13002–13011. 73 indexed citations

20.

Wei, Jiwei, Yang Yang, Jingjing Li, et al.. (2019). Residual Graph Convolutional Networks for Zero-Shot Learning. 1–6. 12 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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