Benfeng Xu

660 total citations
14 papers, 261 citations indexed

About

Benfeng Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Benfeng Xu has authored 14 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Benfeng Xu's work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Advanced Text Analysis Techniques (2 papers). Benfeng Xu is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Advanced Text Analysis Techniques (2 papers). Benfeng Xu collaborates with scholars based in China. Benfeng Xu's co-authors include Zhendong Mao, Yajuan Lyu, Quan Wang, Quan Wang, Yongdong Zhang, Yong Zhu, Hongtao Xie, Yifeng Liu, Haiyong Xie and Yong Liao and has published in prestigious journals such as Frontiers in Public Health, IEEE/ACM Transactions on Audio Speech and Language Processing and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Benfeng Xu

12 papers receiving 253 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benfeng Xu China 6 230 34 29 28 27 14 261
Lujun Zhao China 8 255 1.1× 26 0.8× 28 1.0× 35 1.3× 18 0.7× 11 289
Q. Liu China 3 188 0.8× 20 0.6× 42 1.4× 39 1.4× 14 0.5× 11 237
Gourab Kundu United States 8 167 0.7× 41 1.2× 35 1.2× 28 1.0× 23 0.9× 16 222
Jinhao Jiang China 5 206 0.9× 32 0.9× 37 1.3× 24 0.9× 11 0.4× 12 235
Dianbo Sui China 8 336 1.5× 40 1.2× 49 1.7× 56 2.0× 26 1.0× 25 383
Francesco Piccinno Italy 9 200 0.9× 47 1.4× 39 1.3× 30 1.1× 9 0.3× 16 239
Swarnadeep Saha United States 7 201 0.9× 35 1.0× 42 1.4× 20 0.7× 10 0.4× 14 228
Tim O’Gorman United States 11 316 1.4× 34 1.0× 21 0.7× 23 0.8× 26 1.0× 25 329
Xiangchen Song United States 8 142 0.6× 26 0.8× 81 2.8× 18 0.6× 25 0.9× 13 173
Deming Ye China 7 265 1.2× 36 1.1× 53 1.8× 35 1.3× 28 1.0× 7 301

Countries citing papers authored by Benfeng Xu

Since Specialization
Citations

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

Fields of papers citing papers by Benfeng Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benfeng Xu

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

All Works

14 of 14 papers shown
1.
Wang, Quan, et al.. (2025). EHealth: A Chinese Biomedical Language Model Built via Multi-Level Text Discrimination. IEEE Transactions on Audio Speech and Language Processing. 33. 908–921.
2.
Zhang, Shiqi, et al.. (2025). The relationship between epigenetic biomarkers and the risk of diabetes and cancer: a machine learning modeling approach. Frontiers in Public Health. 13. 1509458–1509458. 1 indexed citations
3.
4.
Chen, Yihan, Benfeng Xu, Quan Wang, Yi Liu, & Zhendong Mao. (2024). Benchmarking Large Language Models on Controllable Generation under Diversified Instructions. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 17808–17816. 2 indexed citations
5.
6.
Xu, Benfeng, et al.. (2023). On the Calibration of Large Language Models and Alignment. 9778–9795. 4 indexed citations
7.
8.
Xu, Benfeng, Wenbin Jiang, Pengfei Zhu, et al.. (2023). Retrieval-Augmented Domain Adaptation of Language Models. 54–64. 2 indexed citations
9.
Xu, Benfeng, et al.. (2023). S2ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction. 8186–8207. 8 indexed citations
10.
Xu, Benfeng, et al.. (2022). UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction. 7087–7099. 26 indexed citations
11.
Xu, Benfeng, et al.. (2022). EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 659–665. 15 indexed citations
12.
Mao, Zhendong, et al.. (2021). Review and Arrange: Curriculum Learning for Natural Language Understanding. IEEE/ACM Transactions on Audio Speech and Language Processing. 29. 3307–3320. 9 indexed citations
13.
Xu, Benfeng, Quan Wang, Yajuan Lyu, Yong Zhu, & Zhendong Mao. (2021). Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction. Proceedings of the AAAI Conference on Artificial Intelligence. 35(16). 14149–14157. 97 indexed citations
14.
Xu, Benfeng, et al.. (2020). Curriculum Learning for Natural Language Understanding. 6095–6104. 95 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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