Weixiang Shao

986 total citations
15 papers, 383 citations indexed

About

Weixiang Shao is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Weixiang Shao has authored 15 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Weixiang Shao's work include Text and Document Classification Technologies (4 papers), Advanced Graph Neural Networks (4 papers) and Complex Network Analysis Techniques (3 papers). Weixiang Shao is often cited by papers focused on Text and Document Classification Technologies (4 papers), Advanced Graph Neural Networks (4 papers) and Complex Network Analysis Techniques (3 papers). Weixiang Shao collaborates with scholars based in United States, China and United Kingdom. Weixiang Shao's co-authors include Philip S. Yu, Chun-Ta Lu, Lifang He, Xiaoxiao Shi, Huayi Li, Geli Fei, Jidong Shao, Bing Liu, Arjun Mukherjee and Shuai Wang and has published in prestigious journals such as Methods, Computational Intelligence and Neuroscience and Journal of the Medical Library Association JMLA.

In The Last Decade

Weixiang Shao

15 papers receiving 377 citations

Peers

Countries citing papers authored by Weixiang Shao

Since Specialization

Citations

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

Fields of papers citing papers by Weixiang Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weixiang Shao

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Vision‐Based Intelligent Perceiving and Planning System of a 7‐DoF Collaborative Robot 2021 ·Computational Intelligence and Neuroscience ·(unknown), Gang Li, (unknown), Weixiang Shao	2
2	Semi-supervised Deep Representation Learning for Multi-View Problems 2018 ·Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu	11
3	Multi-view Clustering with Graph Embedding for Connectome Analysis 2017 ·Guixiang Ma, Lifang He, Chun-Ta Lu, Weixiang Shao, Philip S. Yu, Alex Leow, Ann Ragin	35
4	Bimodal Distribution and Co-Bursting in Review Spam Detection 2017 ·Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao	94
5	Multilinear Factorization Machines for Multi-Task Multi-View Learning 2017 ·Chun-Ta Lu, Lifang He, Weixiang Shao, Bokai Cao, Philip S. Yu	43
6	Item recommendation for emerging online businesses 2016 ·International Joint Conference on Artificial Intelligence ·Chun-Ta Lu, Sihong Xie, Weixiang Shao, Lifang He, Philip S. Yu	12
7	Online multi-view clustering with incomplete views 2016 ·Weixiang Shao, Lifang He, Chun-Ta Lu, Philip S. Yu	82
8	Community detection with partially observable links and node attributes 2016 ·Xiaokai Wei, Bokai Cao, Weixiang Shao, Chun-Ta Lu, Philip S. Yu	12
9	Multi-source Multi-view Clustering via discrepancy penalty 2016 ·Weixiang Shao, Jiawei Zhang, Lifang He, Philip S. Yu	6
10	Effective Crowd Expertise Modeling via Cross Domain Sparsity and Uncertainty Reduction 2016 ·Sihong Xie, (unknown), Weixiang Shao, Jingyuan Zhang, Jing Gao, Wei Fan, Philip S. Yu	3
11	Nuggets: findings shared in multiple clinical case reports 2015 ·Journal of the Medical Library Association JMLA ·Neil R. Smalheiser, Weixiang Shao, Philip S. Yu	8
12	PNA: Partial Network Alignment with Generic Stable Matching 2015 ·Jiawei Zhang, Weixiang Shao, Senzhang Wang, Xiangnan Kong, Philip S. Yu	13
13	Aggregator: A machine learning approach to identifying MEDLINE articles that derive from the same underlying clinical trial 2014 ·Methods ·Weixiang Shao, Clive E Adams, Aaron Cohen, John M. Davis, Marian McDonagh, Sujata Thakurta, Philip S. Yu, Neil R. Smalheiser	13
14	Clustering on Multiple Incomplete Datasets via Collective Kernel Learning 2013 ·Weixiang Shao, Xiaoxiao Shi, Philip S. Yu	47
15	Cloud Service Broker 2012 ·(unknown), Weixiang Shao, Jie Hu	2

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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