Weidi Xie

584 total citations
19 papers, 210 citations indexed

About

Weidi Xie is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Weidi Xie has authored 19 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Weidi Xie's work include Topic Modeling (6 papers), Multimodal Machine Learning Applications (5 papers) and Video Analysis and Summarization (4 papers). Weidi Xie is often cited by papers focused on Topic Modeling (6 papers), Multimodal Machine Learning Applications (5 papers) and Video Analysis and Summarization (4 papers). Weidi Xie collaborates with scholars based in China, United States and Japan. Weidi Xie's co-authors include Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, Weixiong Lin, Haicheng Wang, Yanfeng Wang, Pengcheng Qiu, Yujie Zhong and Xiaoyun Zhang and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Weidi Xie

14 papers receiving 205 citations

Peers

Weidi Xie
Alina Jade Barnett United States
Chaofan Tao Hong Kong
Maximilian Ilse Netherlands
Anees Kazi Germany
Shruthi Bannur United States
Sonit Singh Australia
Alina Jade Barnett United States
Weidi Xie
Citations per year, relative to Weidi Xie Weidi Xie (= 1×) peers Alina Jade Barnett

Countries citing papers authored by Weidi Xie

Since Specialization
Citations

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

Fields of papers citing papers by Weidi Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weidi Xie

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

All Works

19 of 19 papers shown
1.
Fan, Ye, Xiaoman Zhang, Xin Sun, et al.. (2026). An agentic system for rare disease diagnosis with traceable reasoning. Nature. 651(8106). 775–784.
2.
Wu, Chaoyi, Shuyu Liu, Yanjie Fan, et al.. (2025). Quantifying the reasoning abilities of LLMs on clinical cases. Nature Communications. 16(1). 9799–9799.
3.
Liu, Yikun, Yajie Zhang, Xiaolong Jiang, et al.. (2025). LamRA: Large Multimodal Model as Your Advanced Retrieval Assistant. 4015–4025.
4.
Zhang, Ya, et al.. (2025). Towards Universal Soccer Video Understanding. 8384–8394.
5.
Zhang, Xiaoman, Chaoyi Wu, Weiwei Tian, et al.. (2025). Development of a large-scale grounded vision language dataset for chest CT analysis. Scientific Data. 12(1). 1636–1636. 1 indexed citations
6.
Wu, Chaoyi, Xiaoman Zhang, Ya Zhang, et al.. (2025). Towards generalist foundation model for radiology by leveraging web-scale 2D&3D medical data. Nature Communications. 16(1). 7866–7866. 11 indexed citations
7.
Wu, Chaoyi, Jinxin Liu, Hongfei Gu, et al.. (2025). Towards evaluating and building versatile large language models for medicine. npj Digital Medicine. 8(1). 58–58. 8 indexed citations
8.
Wu, Chaoyi, et al.. (2024). RaTEScore: A Metric for Radiology Report Generation. 15004–15019. 5 indexed citations
9.
Wu, Chaoyi, Xiaoman Zhang, Yuehua Li, et al.. (2024). Large-scale long-tailed disease diagnosis on radiology images. Nature Communications. 15(1). 10147–10147. 5 indexed citations
10.
Qiu, Pengcheng, Chaoyi Wu, Xiaoman Zhang, et al.. (2024). Towards building multilingual language model for medicine. Nature Communications. 15(1). 8384–8384. 38 indexed citations
11.
Xu, Jilan, Yifei Huang, Guo Chen, et al.. (2024). Retrieval-Augmented Egocentric Video Captioning. 13525–13536. 8 indexed citations
12.
Sun, Luoyi, Xuenan Xu, Mengyue Wu, & Weidi Xie. (2024). Auto-ACD: A Large-scale Dataset for Audio-Language Representation Learning. 5025–5034. 9 indexed citations
13.
Zhang, Xiaoman, Chaoyi Wu, Weixiong Lin, et al.. (2024). Development of a large-scale medical visual question-answering dataset. SHILAP Revista de lepidopterología. 4(1). 277–277. 9 indexed citations
14.
Zhong, Yujie, et al.. (2024). Intelligent Grimm - Open-ended Visual Storytelling via Latent Diffusion Models. 6190–6200. 16 indexed citations
15.
Zhong, Yujie, et al.. (2024). InstaGen: Enhancing Object Detection by Training on Synthetic Dataset. 14121–14130. 6 indexed citations
16.
Wang, Yanfeng, et al.. (2024). MatchTime: Towards Automatic Soccer Game Commentary Generation. 1671–1685. 4 indexed citations
17.
Xie, Weidi, et al.. (2024). Grounded Question-Answering in Long Egocentric Videos. 12934–12943. 4 indexed citations
18.
Zhang, Xiaoman, Chaoyi Wu, Ya Zhang, Weidi Xie, & Yanfeng Wang. (2023). Knowledge-enhanced visual-language pre-training on chest radiology images. Nature Communications. 14(1). 4542–4542. 86 indexed citations
19.
Shin, Gyungin, et al.. (2022). ReCo: Retrieve and Co-Segment for Zero-Shot Transfer. 33754–33767.

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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