Shulin Liu

508 total citations
17 papers, 302 citations indexed

About

Shulin Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Shulin Liu has authored 17 papers receiving a total of 302 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 2 papers in Computer Networks and Communications. Recurrent topics in Shulin Liu's work include Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Data Quality and Management (2 papers). Shulin Liu is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Data Quality and Management (2 papers). Shulin Liu collaborates with scholars based in China, Canada and Greece. Shulin Liu's co-authors include Kang Liu, Jun Zhao, Yubo Chen, Shizhu He, Feng Zhang, Di Wang, Tao Yang, Xiaomei Liu, Tao Yang and Guangyou Zhou and has published in prestigious journals such as Molecular and Cellular Biology, Medicine and Linear Algebra and its Applications.

In The Last Decade

Shulin Liu

15 papers receiving 283 citations

Peers

Countries citing papers authored by Shulin Liu

Since Specialization

Citations

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

Fields of papers citing papers by Shulin Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shulin Liu

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

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	PRSF: Pitched-Noise-Robust Score Following Based on Multimodal Learning 2025 ·IEEE Transactions on Audio Speech and Language Processing ·(unknown), (unknown), Shulin Liu, Jiawan Zhang	0
2	MusicECAN: An Automatic Denoising Network for Music Recordings With Efficient Channel Attention 2024 ·IEEE/ACM Transactions on Audio Speech and Language Processing ·(unknown), Shulin Liu, (unknown), Long Ye, (unknown)	1
3	The Role of Med15 Sequence Features in Transcription Factor Interactions 2024 ·Molecular and Cellular Biology ·David S. Cooper, Shulin Liu, (unknown), Jan S. Fassler	2
4	Overview of the Application of Knowledge Graph in Anomaly Detection and Fault Diagnosis 2022 ·(unknown), Shulin Liu, Kuan Zhang, Tao Xu, Xiaojian Yi	2
5	Improving Chinese Grammatical Error Detection via Data augmentation by Conditional Error Generation 2022 ·Findings of the Association for Computational Linguistics: ACL 2022 ·(unknown), Shulin Liu, (unknown), Tao Yang, (unknown), (unknown)	5
6	CRASpell: A Contextual Typo Robust Approach to Improve Chinese Spelling Correction 2022 ·Findings of the Association for Computational Linguistics: ACL 2022 ·Shulin Liu, (unknown), (unknown), Tao Yang, (unknown), (unknown), Shengli Sun	13
7	T2V-TransD: A Method of Temporal Knowledge Representation Learning Based on Mapping Matrix 2022 ·(unknown), (unknown), (unknown), Shulin Liu, Xiya Luo	1
8	PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction 2021 ·Shulin Liu, Tao Yang, (unknown), Feng Zhang, Di Wang	46
9	A Novel Audio Extraction and Restoration System for Optical Soundtrack 2020 ·Shulin Liu, (unknown), Long Ye, (unknown)	0
10	PMT choices for large detectors 2019 ·arXiv (Cornell University) ·Liangjian Wen, (unknown), Yifang Wang, Jun Cao, Shulin Liu, (unknown), Zhonghua Qin	1
11	RBPJ polymorphisms associated with cerebral infarction diseases in Chinese Han population 2018 ·Medicine ·Qiong Zhang, Jie Zhou, (unknown), Chunyu Zhu, Fei-Feng Li, Zheng Dong, Shulin Liu	2
12	Automatically Labeled Data Generation for Large Scale Event Extraction 2017 ·Yubo Chen, Shulin Liu, (unknown), Kang Liu, Jun Zhao	106
13	Leveraging FrameNet to Improve Automatic Event Detection 2016 ·Shulin Liu, Yubo Chen, Shizhu He, Kang Liu, Jun Zhao	81
14	CASIA@QALD-3: A Question Answering System over Linked Data 2013 ·CLEF (Working Notes) ·Shizhu He, Shulin Liu, Yubo Chen, Guangyou Zhou, Kang Liu, Jun Zhao	15
15	A Secure Threshold of Dynamic Programming Techniques for Track-Before-Detect 2013 ·(unknown), Chunlei Cao, (unknown), (unknown), Shulin Liu, Yanhua Wang	1
16	Use Case and Non-functional Scenario Template-Based Approach to Identify Aspects 2010 ·(unknown), Xiaomei Liu, Shulin Liu	13
17	Bounds for the greatest characteristic root of a nonnegative matrix 1996 ·Linear Algebra and its Applications ·Shulin Liu	13

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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