Chaoxi Xu

963 total citations
11 papers, 384 citations indexed

About

Chaoxi Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chaoxi Xu has authored 11 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chaoxi Xu's work include Multimodal Machine Learning Applications (11 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Chaoxi Xu is often cited by papers focused on Multimodal Machine Learning Applications (11 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Chaoxi Xu collaborates with scholars based in China, Singapore and Czechia. Chaoxi Xu's co-authors include Xirong Li, Gang Yang, Jianfeng Dong, Xun Wang, Meng Wang, Xun Yang, Zhineng Chen, Xiaoxu Wang, Jieping Xu and Weiyu Lan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Multimedia.

In The Last Decade

Chaoxi Xu

10 papers receiving 370 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Chaoxi Xu China	8	354	161	13	7	7	11	384
Dmytro Okhonko United States	4	216 0.6×	187 1.2×	13 1.0×	5 0.7×	10 1.4×	4	307
Paul Hongsuck Seo United States	7	239 0.7×	121 0.8×	23 1.8×	3 0.4×	8 1.1×	15	325
Raphael Gontijo Lopes United States	3	179 0.5×	180 1.1×	15 1.2×	7 1.0×	4 0.6×	5	272
Yuyu Guo China	8	354 1.0×	184 1.1×	11 0.8×	8 1.1×	7 1.0×	13	386
Chen Shen China	6	288 0.8×	109 0.7×	31 2.4×	10 1.4×	8 1.1×	20	347
Ladislav Lenc Czechia	7	122 0.3×	121 0.8×	24 1.8×	11 1.6×	3 0.4×	27	226
Jaemin Na South Korea	3	127 0.4×	152 0.9×	5 0.4×	6 0.9×	5 0.7×	7	216
Namyup Kim South Korea	5	171 0.5×	121 0.8×	6 0.5×	5 0.7×	4 0.6×	6	220
Hangjie Yuan China	7	140 0.4×	91 0.6×	6 0.5×	3 0.4×	9 1.3×	12	175

Countries citing papers authored by Chaoxi Xu

Since Specialization

Citations

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

Fields of papers citing papers by Chaoxi Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoxi Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoxi Xu. A scholar is included among the top collaborators of Chaoxi Xu 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 Chaoxi Xu. Chaoxi Xu 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:

11 of 11 papers shown

1.

Dong, Jianfeng, Xirong Li, Chaoxi Xu, et al.. (2021). Dual Encoding for Video Retrieval by Text. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(8). 1–1. 148 indexed citations

2.

Dong, Jianfeng, Xirong Li, Chaoxi Xu, Gang Yang, & Xun Wang. (2020). Hybrid Space Learning for Language-based Video Retrieval.

3.

Li, Xirong, et al.. (2020). SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries. IEEE Transactions on Multimedia. 23. 4351–4362. 38 indexed citations

4.

Lokoč, Jakub, et al.. (2020). A W2VV++ Case Study with Automated and Interactive Text-to-Video Retrieval. 2553–2561. 11 indexed citations

5.

Li, Xirong, et al.. (2019). Renmin University of China and Zhejiang Gongshang University at TRECVID 2019: Learn to Search and Describe Videos.. TRECVID. 6 indexed citations

6.

Li, Xirong, Chaoxi Xu, Xiaoxu Wang, et al.. (2019). COCO-CN for Cross-Lingual Image Tagging, Captioning, and Retrieval. IEEE Transactions on Multimedia. 21(9). 2347–2360. 75 indexed citations

7.

Li, Xirong, Chaoxi Xu, Gang Yang, Zhineng Chen, & Jianfeng Dong. (2019). W2VV++. 1786–1794. 69 indexed citations

8.

Dong, Jianfeng, et al.. (2019). Feature Re-Learning with Data Augmentation for Video Relevance Prediction. IEEE Transactions on Knowledge and Data Engineering. 1–1. 11 indexed citations

9.

Dong, Jianfeng, Xirong Li, Chaoxi Xu, Shouling Ji, & Xun Wang. (2018). Dual Dense Encoding for Zero-Example Video Retrieval.. arXiv (Cornell University). 4 indexed citations

10.

Li, Xirong, Jianfeng Dong, Chaoxi Xu, et al.. (2018). Renmin University of China and Zhejiang Gongshang University at TRECVID 2018: Deep Cross-Modal Embeddings for Video-Text Retrieval.. TRECVID. 9 indexed citations

11.

Dong, Jianfeng, Xirong Li, Chaoxi Xu, Gang Yang, & Xun Wang. (2018). Feature Re-Learning with Data Augmentation for Content-based Video Recommendation. 2058–2062. 13 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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