Mengzhou Xia

866 total citations
13 papers, 164 citations indexed

About

Mengzhou Xia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications. According to data from OpenAlex, Mengzhou Xia has authored 13 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Science Applications. Recurrent topics in Mengzhou Xia's work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Multimodal Machine Learning Applications (2 papers). Mengzhou Xia is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Multimodal Machine Learning Applications (2 papers). Mengzhou Xia collaborates with scholars based in United States, Netherlands and United Kingdom. Mengzhou Xia's co-authors include Danqi Chen, Zexuan Zhong, Graham Neubig, Shuming Shi, Lemao Liu, Antonios Anastasopoulos, Yiming Yang, Ruochen Xu, Mikel Artetxe and Christiane Fellbaum and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Mengzhou Xia

11 papers receiving 156 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mengzhou Xia United States	7	137	58	12	9	5	13	164
Shang‐Yu Su Taiwan	6	132 1.0×	38 0.7×	6 0.5×	8 0.9×	5 1.0×	18	149
Yaowei Zheng China	5	125 0.9×	26 0.4×	20 1.7×	6 0.7×	4 0.8×	7	160
Prajit Ramachandran United States	5	118 0.9×	50 0.9×	11 0.9×	12 1.3×	20 4.0×	6	154
Chinnadhurai Sankar United States	6	129 0.9×	30 0.5×	6 0.5×	10 1.1×	5 1.0×	9	155
Cash Costello United States	6	77 0.6×	73 1.3×	19 1.6×	5 0.6×	13 2.6×	10	144
Peyman Passban Ireland	7	150 1.1×	82 1.4×	8 0.7×	3 0.3×	3 0.6×	14	183
Mohamed Farouk Abdel Hady Germany	6	116 0.8×	47 0.8×	5 0.4×	7 0.8×	3 0.6×	12	139
Jaehong Yoon South Korea	6	81 0.6×	56 1.0×	4 0.3×	8 0.9×	3 0.6×	9	115
Yongjing Yin China	9	206 1.5×	86 1.5×	15 1.3×	3 0.3×	3 0.6×	25	226
Rongxiang Weng China	9	162 1.2×	82 1.4×	7 0.6×	3 0.3×	3 0.6×	12	183

Countries citing papers authored by Mengzhou Xia

Since Specialization

Citations

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

Fields of papers citing papers by Mengzhou Xia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengzhou Xia

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

13 of 13 papers shown

1.

Xia, Mengzhou, et al.. (2024). LitSearch: A Retrieval Benchmark for Scientific Literature Search. 15068–15083. 3 indexed citations

2.

Xia, Mengzhou, et al.. (2024). InstructEval: Systematic Evaluation of Instruction Selection Methods. 2 indexed citations

3.

Chen, Danqi, et al.. (2024). SimPO: Simple Preference Optimization with a Reference-Free Reward. 124198–124235.

4.

Arora, Sanjeev, Danqi Chen, Howard Chen, et al.. (2024). CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs. 113569–113697.

5.

Xia, Mengzhou, Mikel Artetxe, Chunting Zhou, et al.. (2023). Training Trajectories of Language Models Across Scales. 13711–13738. 6 indexed citations

6.

Xia, Mengzhou, Zexuan Zhong, & Danqi Chen. (2022). Structured Pruning Learns Compact and Accurate Models. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 1513–1528. 69 indexed citations

7.

Xia, Mengzhou, et al.. (2022). MABEL: Attenuating Gender Bias using Textual Entailment Data. 9681–9702. 9 indexed citations

8.

Xia, Mengzhou, Mikel Artetxe, Jingfei Du, Danqi Chen, & Veselin Stoyanov. (2022). Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models. 11351–11361. 6 indexed citations

9.

Xia, Mengzhou, et al.. (2022). Don’t Prompt, Search! Mining-based Zero-Shot Learning with Language Models. 7508–7520. 7 indexed citations

10.

Chen, Howard, Mengzhou Xia, & Danqi Chen. (2021). Non-Parametric Few-Shot Learning for Word Sense Disambiguation. 1774–1781. 6 indexed citations

11.

Xia, Mengzhou, Guo‐qing Zheng, Subhabrata Mukherjee, et al.. (2021). MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning. 499–511. 13 indexed citations

12.

Xia, Mengzhou, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, & Graham Neubig. (2020). Predicting Performance for Natural Language Processing Tasks. 8625–8646. 22 indexed citations

13.

Xia, Mengzhou, et al.. (2019). Graph Based Translation Memory for Neural Machine Translation. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 7297–7304. 21 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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