Runxin Xu

1.6k total citations
19 papers, 381 citations indexed

About

Runxin Xu is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Runxin Xu has authored 19 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 3 papers in Molecular Biology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Runxin Xu's work include Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Biomedical Text Mining and Ontologies (2 papers). Runxin Xu is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Biomedical Text Mining and Ontologies (2 papers). Runxin Xu collaborates with scholars based in China, United States and Germany. Runxin Xu's co-authors include Baobao Chang, Lei Li, Shuang Zeng, Tianyu Liu, Songfang Huang, Fuli Luo, Fei Huang, Zhiyuan Zhang, Chuanqi Tan and Zhifang Sui and has published in prestigious journals such as Scientific Reports, Remote Sensing and Seminars in Immunology.

In The Last Decade

Runxin Xu

17 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Runxin Xu China 8 341 47 43 38 30 19 381
Guangwei Xu China 9 330 1.0× 40 0.9× 46 1.1× 31 0.8× 13 0.4× 21 371
Lujun Zhao China 8 255 0.7× 26 0.6× 28 0.7× 35 0.9× 18 0.6× 11 289
Francesco Piccinno Italy 9 200 0.6× 47 1.0× 39 0.9× 30 0.8× 9 0.3× 16 239
Xiaotao Gu United States 9 349 1.0× 54 1.1× 69 1.6× 57 1.5× 40 1.3× 19 378
Dianbo Sui China 8 336 1.0× 40 0.9× 49 1.1× 56 1.5× 26 0.9× 25 383
Benfeng Xu China 6 230 0.7× 34 0.7× 29 0.7× 28 0.7× 27 0.9× 14 261
Chen-Tse Tsai United States 9 328 1.0× 52 1.1× 46 1.1× 54 1.4× 30 1.0× 15 348
Yunzhi Yao China 4 273 0.8× 39 0.8× 40 0.9× 25 0.7× 22 0.7× 5 315
Jianshu Ji China 4 257 0.8× 86 1.8× 33 0.8× 16 0.4× 15 0.5× 7 291
Kathryn Mazaitis United States 6 319 0.9× 54 1.1× 48 1.1× 32 0.8× 12 0.4× 10 342

Countries citing papers authored by Runxin Xu

Since Specialization
Citations

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

Fields of papers citing papers by Runxin Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runxin Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Runxin Xu. A scholar is included among the top collaborators of Runxin 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 Runxin Xu. Runxin Xu 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.
Zhou, Li, et al.. (2025). Optimized Recognition Algorithm for Remotely Sensed Sea Ice in Polar Ship Path Planning. Remote Sensing. 17(19). 3359–3359.
3.
Wang, Yuqi, Runxin Xu, Peiyi Wang, et al.. (2024). Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models. 14369–14387. 6 indexed citations
4.
Lee, Jong‐Hyun, Stefan Reischl, Runxin Xu, et al.. (2024). Orally delivered biodegradable targeted inflammation resolving pectin-coated nanoparticles induce anastomotic healing post intestinal surgery. Scientific Reports. 14(1). 29253–29253. 3 indexed citations
6.
Wang, Chengyu, Minghui Qiu, Fuli Luo, et al.. (2023). Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning. 438–446. 13 indexed citations
7.
Xu, Runxin, et al.. (2022). Annexin A1 based inflammation resolving mediators and nanomedicines for inflammatory bowel disease therapy. Seminars in Immunology. 61-64. 101664–101664. 10 indexed citations
8.
Xu, Runxin, Tianyu Liu, Qingyu Zhou, et al.. (2022). An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 5012–5024. 25 indexed citations
9.
Li, Yanyang, Fuli Luo, Runxin Xu, et al.. (2022). Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 1852–1865. 2 indexed citations
10.
Xu, Runxin, Peiyi Wang, Tianyu Liu, et al.. (2022). A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 5025–5036. 29 indexed citations
11.
Chen, Liang, Peiyi Wang, Runxin Xu, et al.. (2022). ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. 2482–2496. 4 indexed citations
12.
Zheng, Ce, et al.. (2022). A Double-Graph Based Framework for Frame Semantic Parsing. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 4998–5011. 5 indexed citations
13.
Xu, Runxin, Fuli Luo, Chengyu Wang, et al.. (2022). From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression. Proceedings of the AAAI Conference on Artificial Intelligence. 36(10). 11547–11555. 12 indexed citations
14.
Xu, Runxin, Fuli Luo, Baobao Chang, Songfang Huang, & Fei Huang. (2022). S4-Tuning: A Simple Cross-lingual Sub-network Tuning Method-Tuning: A Simple Cross-lingual Sub-network Tuning Method. 5 indexed citations
15.
Xu, Runxin, Tianyu Liu, Lei Li, & Baobao Chang. (2021). Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker. 3533–3546. 51 indexed citations
16.
Xu, Runxin, Fuli Luo, Zhiyuan Zhang, et al.. (2021). Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 9514–9528. 79 indexed citations
17.
Xu, Runxin, et al.. (2021). ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization. Proceedings of the AAAI Conference on Artificial Intelligence. 35(9). 7857–7864. 2 indexed citations
18.
Xu, Runxin, et al.. (2020). Volctrans Parallel Corpus Filtering System for WMT 2020. Empirical Methods in Natural Language Processing. 985–990. 1 indexed citations
19.
Zeng, Shuang, Runxin Xu, Baobao Chang, & Lei Li. (2020). Double Graph Based Reasoning for Document-level Relation Extraction. 1630–1640. 127 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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