Jiangwei Xie

961 citations
8 papers · 426 indexed · 1 hit paper · h-index 6
Topics
Domain Adaptation and Few-Shot Learning (3 papers)Multimodal Machine Learning Applications (2 papers)COVID-19 diagnosis using AI (2 papers)

In The Last Decade

Jiangwei Xie

7 papers receiving 422 citations

Hit Papers

DER: Dynamically Expandable Representation for Class Incr...20212026202220242021100200300

Peers

Jiangwei Xie
Comparison fields: 5 of 60
  • Artificial Intelligence 316
  • Computer Vision and Pattern Recognition 219
  • Radiology, Nuclear Medicine and Imaging 42
  • Automotive Engineering 22
  • Media Technology 20
Replace Ravi Krishna with:
Ravi Krishna United States
Fabio Cermelli Italy
Pengfei Fang China
Iro Laina United Kingdom
Timo Lüddecke Germany
Berkan Solmaz Türkiye
Qianfen Jiao China
Le Yang China
Roberto Olmos Spain
Jiangwei Xie relative to Ravi Krishna United States Ravi Krishna's profile →
Citations per field
00.5×3.7×
Ravi Krishna · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 15
3 42
4 26
5 5
6 1
7
DER: Dynamically Expandable Representation for Class Incremental Learningbreakdown →
312
8 25

About Jiangwei Xie

Jiangwei Xie is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 8 papers that have together received 426 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (219 citations), Artificial Intelligence (316 citations) and Media Technology (20 citations). Jiangwei Xie has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Shipeng Yan, Xuming He, Junchi Yan, Hongyang Li, Li Chen, Penghao Wu, Conghui He, Xiaosong Jia, Jiale Zhou and Songyang Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Geoscience and Remote Sensing Letters and Translational Cancer Research.

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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