Can Xu

1.9k total citations
46 papers, 901 citations indexed

About

Can Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Can Xu has authored 46 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Can Xu's work include Topic Modeling (27 papers), Natural Language Processing Techniques (21 papers) and Speech and dialogue systems (15 papers). Can Xu is often cited by papers focused on Topic Modeling (27 papers), Natural Language Processing Techniques (21 papers) and Speech and dialogue systems (15 papers). Can Xu collaborates with scholars based in China, United States and United Kingdom. Can Xu's co-authors include Wei Wu, Chongyang Tao, Dongyan Zhao, Rui Yan, Ed H., Sagar Jain, Jia Li, Alex Beutel, Wenpeng Hu and Xueliang Zhao and has published in prestigious journals such as Food and Chemical Toxicology, Remote Sensing and Applied Soft Computing.

In The Last Decade

Can Xu

43 papers receiving 858 citations

Peers

Can Xu

AI

IS

CVPR

MSOR

CNC

Jianxin Chang China

Zihan Lin China

Ali Elkahky United States

Ting Liu China

Xinyan Xiao China

Jiacheng Li China

How Jing United States

Piji Li China

Fei Cai China

Jianxin Chang China

Can Xu

556 ×0.8

AI

623 ×2.1

IS

179 ×0.8

CVPR

118 ×1.2

MSOR

71 ×2.5

CNC

Citations per year, relative to Can Xu Can Xu (= 1×) peers Jianxin Chang

Countries citing papers authored by Can Xu

Since Specialization

Citations

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

Fields of papers citing papers by Can Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Xu

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

20 of 20 papers shown

1.

Yu, Jiahui, et al.. (2025). A survey on learning from graphs with heterophily: recent advances and future directions. Frontiers of Computer Science. 20(2).

2.

Xu, Can, et al.. (2024). Adversarially attack feature similarity for fine-grained visual classification. Applied Soft Computing. 163. 111945–111945. 3 indexed citations

3.

Shen, Tao, et al.. (2024). Leveraging Large Language Models for NLG Evaluation: Advances and Challenges. 16028–16045. 3 indexed citations

4.

Zeng, Weihao, et al.. (2024). Automatic Instruction Evolving for Large Language Models. 6998–7018. 1 indexed citations

5.

Li, Hanke, Qi-Zhi Su, Can Xu, et al.. (2024). Characterization, hazard identification, and risk assessment of volatile organic compounds in Poly(butylene adipate-co-terephthalate)-based food contact articles. Food and Chemical Toxicology. 190. 114808–114808. 3 indexed citations

6.

Sun, Qing‐Feng, Can Xu, Pu Zhao, et al.. (2023). MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation. 7348–7363. 7 indexed citations

7.

Sun, Qing‐Feng, Yujing Wang, Can Xu, et al.. (2022). Multimodal Dialogue Response Generation. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2854–2866. 14 indexed citations

8.

Wang, Lingzhi, Huang Hu, Lei Sha, et al.. (2022). RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models. 489–500. 11 indexed citations

9.

Chen, Wei, Yeyun Gong, Can Xu, et al.. (2022). Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 4865–4877. 3 indexed citations

10.

Li, Yuntao, et al.. (2022). Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning. Interspeech 2022. 2723–2727. 2 indexed citations

11.

Hu, Huang, Can Xu, Jian Miao, et al.. (2021). Learning Neural Templates for Recommender Dialogue System. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 7821–7833. 25 indexed citations

12.

He, Jun, et al.. (2021). Modulation recognition of communication signals based on deep learning. 527–531. 1 indexed citations

13.

Zhao, Xueliang, Wei Wu, Can Xu, et al.. (2020). Knowledge-Grounded Dialogue Generation with Pre-trained Language Models. 3377–3390. 108 indexed citations

14.

Xu, Can, et al.. (2020). Zero-Resource Knowledge-Grounded Dialogue Generation. Neural Information Processing Systems. 33. 8475–8485. 7 indexed citations

15.

Hu, Yingying, et al.. (2019). A Course Scheduling Algorithm in Secondary Vocational School Based on Genetic Algorithm. 1543–1547. 2 indexed citations

16.

Xu, Can, et al.. (2019). Neural Response Generation with Meta-words. 5416–5426. 28 indexed citations

17.

Wu, Yu, Wei Wu, Dejian Yang, Can Xu, & Zhoujun Li. (2018). Neural Response Generation With Dynamic Vocabularies. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 34 indexed citations

18.

Beutel, Alex, et al.. (2018). Latent Cross. 46–54. 187 indexed citations

19.

Wu, Wei, Can Xu, Yu Wu, & Zhoujun Li. (2018). Towards Interpretable Chit-chat: Open Domain Dialogue Generation with Dialogue Acts. 3 indexed citations

20.

Li, Zhi, et al.. (2011). An new estimator for Doppler parameters based on improved Wigner Hough Transform. 35. 269–272. 2 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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