Yufeng Chen

1.6k total citations
96 papers, 738 citations indexed

About

Yufeng Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yufeng Chen has authored 96 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Artificial Intelligence, 35 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Yufeng Chen's work include Topic Modeling (55 papers), Natural Language Processing Techniques (50 papers) and Multimodal Machine Learning Applications (18 papers). Yufeng Chen is often cited by papers focused on Topic Modeling (55 papers), Natural Language Processing Techniques (50 papers) and Multimodal Machine Learning Applications (18 papers). Yufeng Chen collaborates with scholars based in China, United States and Hong Kong. Yufeng Chen's co-authors include Jinan Xu, Fandong Meng, Yunlong Liang, Jie Zhou, Jinchao Zhang, Chengqing Zong, Jian Liu, Jie Zhou, Yijin Liu and Yujie Zhang and has published in prestigious journals such as Geophysical Journal International, RSC Advances and International Journal of Computer Vision.

In The Last Decade

Yufeng Chen

84 papers receiving 722 citations

Peers

Yufeng Chen
Pengfei Wei China
Ning Qiang China
Baosong Yang China
Ehsan Lotfi Iran
Shailender Kumar India
Long Duong Australia
Naresh Babu Bynagari Zimbabwe
Guo Zhong China
Pengfei Wei China
Yufeng Chen
Citations per year, relative to Yufeng Chen Yufeng Chen (= 1×) peers Pengfei Wei

Countries citing papers authored by Yufeng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yufeng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yufeng Chen

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

All Works

20 of 20 papers shown
1.
2.
Li, Hongliang, You Li, Zhenzhen Liu, et al.. (2025). Multi-Stage LLM Fine-Tuning with a Continual Learning Setting. 5484–5498. 1 indexed citations
3.
Wang, Qiyi, et al.. (2025). Assortativity attention based Multi-Dim Graph neural Architecture Search under distribution shifts. Neurocomputing. 639. 130256–130256.
4.
Chen, Yufeng, et al.. (2024). Anticipating interpersonal sensitivity: A predictive model for early intervention in psychological disorders in college students. Computers in Biology and Medicine. 172. 108134–108134. 3 indexed citations
5.
Liu, Yijin, et al.. (2024). LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation. 9201–9214. 1 indexed citations
6.
Liang, Yunlong, Fandong Meng, Jiaan Wang, et al.. (2024). Continual Learning with Semi-supervised Contrastive Distillation for Incremental Neural Machine Translation. 10914–10928. 2 indexed citations
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Liang, Yunlong, Fandong Meng, Jinan Xu, et al.. (2023). Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization. 2934–2951. 10 indexed citations
9.
Liang, Yunlong, et al.. (2023). Towards Understanding and Improving Knowledge Distillation for Neural Machine Translation. 8062–8079. 4 indexed citations
10.
Mao, Xiaofeng, et al.. (2023). Context-Aware Robust Fine-Tuning. International Journal of Computer Vision. 132(5). 1685–1700. 4 indexed citations
11.
Zhang, Ying, Fandong Meng, Yufeng Chen, Jinan Xu, & Jie Zhou. (2023). Complex Question Enhanced Transfer Learning for Zero-Shot Joint Information Extraction. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 261–275.
12.
Zhang, Yujie, et al.. (2023). WDSRL: Multi-Domain Neural Machine Translation With Word-Level Domain-Sensitive Representation Learning. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 577–590. 2 indexed citations
13.
Zhang, Yujie, et al.. (2023). An Ensemble Strategy with Gradient Conflict for Multi-Domain Neural Machine Translation. ACM Transactions on Asian and Low-Resource Language Information Processing. 23(2). 1–22.
14.
Liang, Yunlong, Fandong Meng, Jiaan Wang, et al.. (2023). D2TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization. 14910–14922. 4 indexed citations
15.
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Zhang, Ying, et al.. (2022). Exploiting Morpheme and Cross-lingual Knowledge to Enhance Mongolian Named Entity Recognition. ACM Transactions on Asian and Low-Resource Language Information Processing. 21(5). 1–19. 1 indexed citations
17.
Hu, Bojie, et al.. (2022). A Neighborhood Re-Ranking Model With Relation Constraint for Knowledge Graph Completion. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 411–425. 4 indexed citations
18.
Liu, Jian, Yufeng Chen, & Jinan Xu. (2022). Saliency as Evidence: Event Detection with Trigger Saliency Attribution. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 4573–4585. 12 indexed citations
19.
Liang, Yunlong, Fandong Meng, Ying Zhang, et al.. (2021). Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation. National Conference on Artificial Intelligence. 35(15). 13343–13352. 1 indexed citations
20.
Jiang, Wenbin, Mengfei Guo, Yufeng Chen, et al.. (2020). Multi-view Classification Model for Knowledge Graph Completion. 726–734. 4 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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