Jiangwei Xie

961 total citations · 1 hit paper
8 papers, 426 citations indexed

About

Jiangwei Xie is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jiangwei Xie has authored 8 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jiangwei Xie's work include Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (2 papers) and COVID-19 diagnosis using AI (2 papers). Jiangwei Xie is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (2 papers) and COVID-19 diagnosis using AI (2 papers). Jiangwei Xie collaborates with scholars based in China, United Kingdom and United States. Jiangwei Xie's co-authors include Shipeng Yan, Xuming He, Junchi Yan, Hongyang Li, Li Chen, Penghao Wu, Conghui He, Xiaosong Jia, Jiale Zhou and Songyang Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Geoscience and Remote Sensing Letters and Translational Cancer Research.

In The Last Decade

Jiangwei Xie

7 papers receiving 422 citations

Hit Papers

DER: Dynamically Expandable Representation for Class Incr... 2021 2026 2022 2024 2021 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. DER: Dynamically Expandable Representation for Class Incremental Learning
    2021 312 citations Shipeng Yan, Jiangwei Xie et al. profile →

Peers

Jiangwei Xie
Ravi Krishna United States
Fabio Cermelli Italy
Pengfei Fang China
Timo Lüddecke Germany
Qianfen Jiao China
Hongyang Xue China
Berkan Solmaz Türkiye
Chenxin Tao China
Le Yang China
Ravi Krishna United States
Jiangwei Xie
Citations per year, relative to Jiangwei Xie Jiangwei Xie (= 1×) peers Ravi Krishna

Countries citing papers authored by Jiangwei Xie

Since Specialization
Citations

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

Fields of papers citing papers by Jiangwei Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangwei Xie

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

All Works

8 of 8 papers shown
1.
Huang, Haibin, et al.. (2024). A sensor fusion-based optimization method for indoor localization. 171–171.
2.
Xie, Jiangwei, et al.. (2024). Wavelet-Based Bi-Dimensional Aggregation Network for SAR Image Change Detection. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 15 indexed citations
3.
Jia, Xiaosong, Penghao Wu, Li Chen, et al.. (2023). Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving. The HKU Scholars Hub (University of Hong Kong). 21983–21994. 42 indexed citations
4.
Xie, Jiangwei, Shipeng Yan, & Xuming He. (2022). General Incremental Learning with Domain-aware Categorical Representations. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14331–14340. 26 indexed citations
5.
6.
Liu, Peilin, et al.. (2021). The Strategy of Hospital Wastewater Treatment to Reduce the Risk of Virus Transmission and Environmental Pollution under COVID-19 based on Big Data. SHILAP Revista de lepidopterología. 308. 2001–2001. 1 indexed citations
7.
Yan, Shipeng, Jiangwei Xie, & Xuming He. (2021). DER: Dynamically Expandable Representation for Class Incremental Learning. 3013–3022. 312 indexed citations breakdown →
8.
Yan, Shipeng, Jiale Zhou, Jiangwei Xie, Songyang Zhang, & Xuming He. (2021). An EM Framework for Online Incremental Learning of Semantic Segmentation. 3052–3060. 25 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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2026