Wanxiang Che

9.0k citations

183 papers · 4.4k · 4 hit papers · h-index 36

Impact in

Artificial Intelligence top 0.2%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Adversarial Robustness in Machine Learning
Computer Vision and Pattern Recognition top 1%
- Multimodal Machine Learning Applications

Papers in

Artificial Intelligence 161
- Topic Modeling 147
- Natural Language Processing Techniques 121
- Speech and dialogue systems 43
- Text Readability and Simplification 16
- Text and Document Classification Technologies 16
- Semantic Web and Ontologies 12
- Sentiment Analysis and Opinion Mining 11
Computer Vision and Pattern Recognition 38
- Multimodal Machine Learning Applications 33

Co-authors: Ting Liu (22 shared papers)Libo Qin (37 shared papers)Ting Liu (34 shared papers)Yutai Hou (11 shared papers)Jiang Guo (14 shared papers)Haifeng Wang (14 shared papers)Zhenghua Li (11 shared papers)Ting Liu (18 shared papers)
Journals: IEEE/ACM Transactions on Audio Speech and Language Processing (7 papers)International Journal of Machine Learning and Cybernetics (6 papers)Frontiers of Computer Science (5 papers)Journal of Artificial Intelligence Research (2 papers)Science China Information Sciences (2 papers)
Partner nations: China United States Singapore

In The Last Decade

Wanxiang Che

167 papers receiving 4.2k citations

Wanxiang Che's Hit Papers

align trajectories log scale

A survey of multilingual large language models 2025 · 33 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2025 Patterns
2022 arXiv (Cornell University)
2021 LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding
2019 Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency

Peers

Countries citing papers authored by Wanxiang Che

Since Specialization

Citations

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

Fields of papers citing papers by Wanxiang Che

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wanxiang Che, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wanxiang Che Line = papers co-authored together Wanxiang Che links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 183 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency Shuhuai Ren, Yihe Deng, Kun He, Wanxiang Che Hit paper breakdown →	2019	372
2	LTP: A Chinese Language Technology Platform International Conference on Computational Linguistics ·Wanxiang Che, Zhenghua Li, Ting Liu	2010	229
3	Data augmentation approaches in natural language processing: A survey arXiv (Cornell University) ·Bohan Li, Yutai Hou, Wanxiang Che Hit paper breakdown →	2022	205
4	LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding Yang Xu, Yiheng Xu, Tengchao Lv, Lei Cui, Furu Wei, Guoxin Wang, Yijuan Lu, Dinei Florêncio, Cha Zhang, Wanxiang Che, Min Zhang, Lidong Zhou Hit paper breakdown →	2021	202
5	A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding Libo Qin, Wanxiang Che, Yangming Li, Haoyang Wen, Ting Liu	2019	189
6	Learning Semantic Hierarchies via Word Embeddings Ruiji Fu, Jiang Guo, Bing Qin, Wanxiang Che, Haifeng Wang, Ting Liu	2014	150
7	Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network Yutai Hou, Wanxiang Che, Yongkui Lai, Zhihan Zhou, Yijia Liu, Han Liu, Ting Liu	2020	115
8	Cross-lingual Dependency Parsing Based on Distributed Representations Jiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang, Ting Liu	2015	97
9	A Co-Interactive Transformer for Joint Slot Filling and Intent Detection Libo Qin, Tailu Liu, Wanxiang Che, Bingbing Kang, Sendong Zhao, Ting Liu	2021	96
10	Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting Sanyuan Chen, Yutai Hou, Yiming Cui, Wanxiang Che, Ting Liu, Xiangzhan Yu	2020	88
11	Sentence Compression for Aspect-Based Sentiment Analysis IEEE/ACM Transactions on Audio Speech and Language Processing ·Wanxiang Che, Yanyan Zhao, Honglei Guo, Zhong Su, Ting Liu	2015	83
12	CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP Libo Qin, Minheng Ni, Yue Zhang, Wanxiang Che	2020	79
13	AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling Libo Qin, Xu Xiao, Wanxiang Che, Ting Liu	2020	76
14	Joint Extraction of Entities and Relations Based on a Novel Graph Scheme Shaolei Wang, Yue Zhang, Wanxiang Che, Ting Liu	2018	69
15	Revisiting Embedding Features for Simple Semi-supervised Learning Jiang Guo, Wanxiang Che, Haifeng Wang, Ting Liu	2014	67
16	Towards Better Wanxiang Che, Yijia Liu, Yuxuan Wang, Bo Zheng, Ting Liu	2018	66
17	GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling Libo Qin, Fuxuan Wei, Tianbao Xie, Xu Xiao, Wanxiang Che, Ting Liu	2021	65
18	DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification Proceedings of the AAAI Conference on Artificial Intelligence ·Libo Qin, Wanxiang Che, Yangming Li, Minheng Ni, Ting Liu	2020	62
19	Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing Yuxuan Wang, Wanxiang Che, Jiang Guo, Yijia Liu, Ting Liu	2019	59
20	From static to dynamic word representations: a survey International Journal of Machine Learning and Cybernetics ·Yuxuan Wang, Yutai Hou, Wanxiang Che, Ting Liu	2020	57

About Wanxiang Che

Wanxiang Che is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Molecular Biology and Computer Networks and Communications, having authored 183 papers that have together received 4.4k indexed citations. Recurring topics across this work include Topic Modeling (147 papers), Natural Language Processing Techniques (121 papers), Speech and dialogue systems (43 papers), Multimodal Machine Learning Applications (33 papers), Text Readability and Simplification (16 papers), Text and Document Classification Technologies (16 papers), Semantic Web and Ontologies (12 papers) and Sentiment Analysis and Opinion Mining (11 papers). The work is most often cited by research in Artificial Intelligence (3.9k citations), Computer Vision and Pattern Recognition (784 citations), Signal Processing (187 citations), Health Informatics (22 citations) and Information Systems (383 citations). Wanxiang Che has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ting Liu, Libo Qin, Ting Liu, Yutai Hou, Jiang Guo, Haifeng Wang, Zhenghua Li, Ting Liu, Shuhuai Ren and Yihe Deng. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, International Journal of Machine Learning and Cybernetics, Frontiers of Computer Science, Journal of Artificial Intelligence Research and Science China Information Sciences.

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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Wanxiang Che's Hit Papers

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All Works

About Wanxiang Che

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