Zhenxi Lin

479 citations

23 papers · 245 · h-index 9

Impact in

Artificial Intelligence top 10%
- Topic Modeling
- Text and Document Classification Technologies
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
- Sentiment Analysis and Opinion Mining
- Neural Networks and Reservoir Computing
- Neural Networks and Applications
Signal Processing
- Time Series Analysis and Forecasting

Papers in

Artificial Intelligence 18
- Topic Modeling 13
- Natural Language Processing Techniques 7
- Sentiment Analysis and Opinion Mining 5
- Advanced Graph Neural Networks 4
- Text and Document Classification Technologies 3
- Neural Networks and Applications 2
- Domain Adaptation and Few-Shot Learning 2
- Machine Learning in Healthcare 2
Molecular Biology 2

Co-authors: Qianli Ma (10 shared papers)Haibin Chen (1 shared paper)Yefeng Zheng (10 shared papers)Ziheng Zhang (7 shared papers)Zipeng Chen (3 shared papers)Zhiwen Yu (1 shared paper)Wing W. Y. Ng (1 shared paper)Xian Wu (8 shared papers)
Journals: IEEE/ACM Transactions on Audio Speech and Language Processing (3 papers)Information Sciences (1 paper)IEEE Transactions on Cybernetics (1 paper)Nature Computational Science (1 paper)Data Science and Engineering (1 paper)
Partner nations: China Hong Kong Dominican Republic

In The Last Decade

Zhenxi Lin

17 papers receiving 241 citations

Peers

Countries citing papers authored by Zhenxi Lin

Since Specialization

Citations

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

Fields of papers citing papers by Zhenxi Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zhenxi Lin, 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 Zhenxi Lin Line = papers co-authored together Zhenxi Lin 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 23 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification Haibin Chen, Qianli Ma, Zhenxi Lin, Jiangyue Yan	2021	52
2	Convolutional Multitimescale Echo State Network IEEE Transactions on Cybernetics ·Qianli Ma, Enhuan Chen, Zhenxi Lin, Jiangyue Yan, Zhiwen Yu, Wing W. Y. Ng	2019	43
3	Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network Nature Computational Science ·Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng	2023	31
4	OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding Yuejia Xiang, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Zhenxi Lin, Yefeng Zheng	2021	27
5	Time-Aware Multi-Scale RNNs for Time Series Modeling Zipeng Chen, Qianli Ma, Zhenxi Lin	2021	23
6	Deformable Self-Attention for Text Classification IEEE/ACM Transactions on Audio Speech and Language Processing ·Qianli Ma, Jiangyue Yan, Zhenxi Lin, Liuhong Yu, Zipeng Chen	2021	17
7	Probing the Impacts of Visual Context in Multimodal Entity Alignment Data Science and Engineering ·Meng Wang, Yinghui Shi, Han Yang, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng	2023	9
8	CATE: A Contrastive Pre-trained Model for Metaphor Detection with Semi-supervised Learning Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·Zhenxi Lin, Qianli Ma, Jiangyue Yan, Jieyu Chen	2021	9
9	Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Enhong Chen, Yefeng Zheng	2024	8
10	Temporal Pyramid Recurrent Neural Network Proceedings of the AAAI Conference on Artificial Intelligence ·Qianli Ma, Zhenxi Lin, Enhuan Chen, Garrison W. Cottrell	2020	7
11	Sequence labeling with MLTA: Multi-level topic-aware mechanism Information Sciences ·Qianli Ma, Liuhong Yu, Haibin Chen, Jiangyue Yan, Zhenxi Lin	2023	4
12	MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification Qianli Ma, Zhenxi Lin, Jiangyue Yan, Zipeng Chen, Liuhong Yu	2020	4
13	Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen	2024	3
14	Relation-aware Ensemble Learning for Knowledge Graph Embedding Ling Yue, Yongqi Zhang, Quanming Yao, Yongbo Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng	2023	2
15	A Span-based Dynamic Local Attention Model for Sequential Sentence Classification Xichen Shang, Qianli Ma, Zhenxi Lin, Jiangyue Yan, Zipeng Chen	2021	2
16	Perturbation-Based Self-Supervised Attention for Attention Bias in Text Classification IEEE/ACM Transactions on Audio Speech and Language Processing ·Huawen Feng, Zhenxi Lin, Qianli Ma	2023	2
17	Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation Proceedings of the AAAI Conference on Artificial Intelligence ·Derong Xu, Xinhang Li, Ziheng Zhang, Zhenxi Lin, Zhihong Zhu, Zhi Zheng, Xian Wu, Xiangyu Zhao, Tong Xu, Enhong Chen	2025	2
18	Biomedical Entity Linking as Multiple Choice Question Answering Zhenxi Lin, Zhenxi Lin, Xian Wu, Yefeng Zheng	2024	0
19	Guiding Large Language Models for Biomedical Entity Linking via Restrictive and Contrastive Decoding Zhenxi Lin, Ziheng Zhang, Jian Wu, Yefeng Zheng, Xian Wu	2025	0
20	Improving Biomedical Entity Linking with Retrieval-Enhanced Learning Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng	2024	0

About Zhenxi Lin

Zhenxi Lin is a scholar working on Artificial Intelligence, Molecular Biology, Signal Processing, Communication and Information Systems, having authored 23 papers that have together received 245 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (7 papers), Sentiment Analysis and Opinion Mining (5 papers), Advanced Graph Neural Networks (4 papers), Text and Document Classification Technologies (3 papers), Neural Networks and Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Artificial Intelligence (175 citations), Signal Processing (28 citations), Health Informatics (3 citations), Management Science and Operations Research (27 citations) and Computational Theory and Mathematics (18 citations). Zhenxi Lin has collaborated with scholars based in China, Hong Kong and Dominican Republic. Frequent co-authors include Qianli Ma, Haibin Chen, Yefeng Zheng, Ziheng Zhang, Zipeng Chen, Zhiwen Yu, Wing W. Y. Ng, Xian Wu, Xi Chen and Quanming Yao. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Information Sciences, IEEE Transactions on Cybernetics, Nature Computational Science and Data Science and Engineering.

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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