Shanchan Wu

634 total citations
19 papers, 336 citations indexed

About

Shanchan Wu is a scholar working on Statistical and Nonlinear Physics, Information Systems and Artificial Intelligence. According to data from OpenAlex, Shanchan Wu has authored 19 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistical and Nonlinear Physics, 10 papers in Information Systems and 10 papers in Artificial Intelligence. Recurrent topics in Shanchan Wu's work include Complex Network Analysis Techniques (11 papers), Advanced Text Analysis Techniques (5 papers) and Web Data Mining and Analysis (5 papers). Shanchan Wu is often cited by papers focused on Complex Network Analysis Techniques (11 papers), Advanced Text Analysis Techniques (5 papers) and Web Data Mining and Analysis (5 papers). Shanchan Wu collaborates with scholars based in United States, Sweden and Saudi Arabia. Shanchan Wu's co-authors include Yifan He, Jerry Liu, Louiqa Raschid, Jian Fan, Lei Liu, Georgia Koutrika, Kai Fan, Qiong Zhang, William Rand and Henric Johnson and has published in prestigious journals such as Proceedings of the AAAI Conference on Artificial Intelligence, KTH Publication Database DiVA (KTH Royal Institute of Technology) and Proceedings of the International AAAI Conference on Web and Social Media.

In The Last Decade

Shanchan Wu

18 papers receiving 319 citations

Peers

Countries citing papers authored by Shanchan Wu

Since Specialization

Citations

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

Fields of papers citing papers by Shanchan Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanchan Wu

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

All Works

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19 of 19 papers shown

#	Work	Indexed citations
1	Future Link Prediction in the Blogosphere for Recommendation 2021 ·Proceedings of the International AAAI Conference on Web and Social Media ·Shanchan Wu, Louiqa Raschid, William Rand	1
2	Enriching Pre-trained Language Model with Entity Information for Relation Classification 2019 ·Shanchan Wu, Yifan He	220
3	Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector 2019 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Shanchan Wu, Kai Fan, Qiong Zhang	19
4	METIS 2016 ·Lei Liu, Rares Vernica, Tamir Hassan, (unknown), Lei Yang, Jian Fan, Jerry Liu, Steven J. Simske, Shanchan Wu	2
5	Image Discovery and Insertion for Custom Publishing 2015 ·Conference on Recommender Systems ·(unknown), Jerry Liu, Shanchan Wu	4
6	Crawling Online Social Networks 2015 ·KTH Publication Database DiVA (KTH Royal Institute of Technology) ·(unknown), (unknown), Martin Boldt, Henric Johnson, Shanchan Wu	15
7	To print or not to print 2015 ·Joshua Hailpern, Rares Vernica, (unknown), (unknown), Jian Fan, Georgia Koutrika, Jerry Liu, Lei Liu, Steven J. Simske, Shanchan Wu	8
8	LearningAssistant: A novel learning resource recommendation system 2015 ·Lei Liu, Georgia Koutrika, Shanchan Wu	17
9	Automatic Web Content Extraction by Combination of Learning and Grouping 2015 ·Shanchan Wu, Jerry Liu, Jian Fan	21
10	Learn2Learn: A Visual Educational System for Study Planning 2014 ·Movebank ·Jishang Wei, Georgia Koutrika, Shanchan Wu	1
11	Prediction in a microblog hybrid network using bonacich potential 2014 ·Shanchan Wu, Louiqa Raschid	5
12	Prediction in a Microblog Hybrid Network Using Bonacich Potential 2013 ·Shanchan Wu, Louiqa Raschid	1
13	Making Recommendations in a Microblog to Improve the Impact of a Focal User 2012 ·SSRN Electronic Journal ·Shanchan Wu, (unknown), William Rand, Louiqa Raschid	2
14	Making recommendations in a microblog to improve the impact of a focal user 2012 ·Shanchan Wu, (unknown), William Rand, Louiqa Raschid	8
15	Your Best might not be Good enough: Ranking in Collaborative Social Search Engines 2011 ·KTH Publication Database DiVA (KTH Royal Institute of Technology) ·Henric Johnson, Prantik Bhattacharyya, Shanchan Wu, Jeff Rowe, Karen Zita Haigh, Niklas Lavesson	2
16	Predicting Author Blog Channels with High Value Future Posts for Monitoring 2011 ·SSRN Electronic Journal ·Shanchan Wu, Tamer Elsayed, William Rand, Louiqa Raschid	0
17	Future Link Prediction in the Blogosphere for Recommendation 2011 ·SSRN Electronic Journal ·Shanchan Wu, Louiqa Raschid, William Rand	4
18	Predicting Author Blog Channels with High Value Future Posts for Monitoring 2011 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Shanchan Wu, Tamer Elsayed, William Rand, Louiqa Raschid	2
19	Exploiting social media to provide humanitarian users with event search and recommendations. 2010 ·ISCRAM ·John Edmonds, Louiqa Raschid, Hassan Sayyadi, Shanchan Wu	4

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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