Zhepei Wei

701 total citations · 1 hit paper
6 papers, 334 citations indexed

About

Zhepei Wei is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Zhepei Wei has authored 6 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Zhepei Wei's work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Semantic Web and Ontologies (2 papers). Zhepei Wei is often cited by papers focused on Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Semantic Web and Ontologies (2 papers). Zhepei Wei collaborates with scholars based in China, Australia and Canada. Zhepei Wei's co-authors include Yue Wang, Yi Chang, Jianlin Su, Yuan Tian, You Zhou, Chunyan Miao, Di Wang, Ming Zhang, Ah‐Hwee Tan and Yuan Tian and has published in prestigious journals such as DR-NTU (Nanyang Technological University), arXiv (Cornell University) and Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.

In The Last Decade

Zhepei Wei

5 papers receiving 331 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction

2020 309 citations Zhepei Wei, Jianlin Su et al. profile →

Peers

Countries citing papers authored by Zhepei Wei

Since Specialization

Citations

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

Fields of papers citing papers by Zhepei Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhepei Wei

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

All Works

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6 of 6 papers shown

#	Work	Indexed citations
1	Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning 2022 ·Zhepei Wei, Yue Wang, Jinnan Li, (unknown), (unknown), Yuan Tian, Xin Wang, Yi Chang	0
2	Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables 2022 ·(unknown), Lan Du, Jin Yuan, Zhepei Wei, (unknown)	4
3	AttExplainer: Explain Transformer via Attention by Reinforcement Learning 2022 ·Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence ·(unknown), Zhepei Wei, Yan Wang, (unknown)	4
4	A Novel Cascade Binary Tagging Framework for Relational Triple Extraction breakdown → 2020 ·Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang	309
5	A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations. 2019 ·arXiv (Cornell University) ·Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang	7
6	Autonomous Agents in Snake Game via Deep Reinforcement Learning 2018 ·DR-NTU (Nanyang Technological University) ·Zhepei Wei, Di Wang, Ming Zhang, Ah‐Hwee Tan, Chunyan Miao, You Zhou	10

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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