Bishan Yang

4.4k total citations
18 papers, 809 citations indexed

About

Bishan Yang is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Bishan Yang has authored 18 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Information Systems. Recurrent topics in Bishan Yang's work include Topic Modeling (14 papers), Natural Language Processing Techniques (9 papers) and Sentiment Analysis and Opinion Mining (6 papers). Bishan Yang is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (9 papers) and Sentiment Analysis and Opinion Mining (6 papers). Bishan Yang collaborates with scholars based in United States, China and Canada. Bishan Yang's co-authors include Claire Cardie, Tom M. Mitchell, Tengjiao Wang, Christopher Meek, Wen-tau Yih, Kai-Wei Chang, Zheng Chen, Jian-Tao Sun, Peter I. Frazier and Arzoo Katiyar and has published in prestigious journals such as PLoS ONE, Science China Information Sciences and Transactions of the Association for Computational Linguistics.

In The Last Decade

Bishan Yang

17 papers receiving 735 citations

Peers

Bishan Yang
Comparison fields: 5 of 54
  • Artificial Intelligence 760
  • Information Systems 130
  • Management Science and Operations Research 61
  • Computer Vision and Pattern Recognition 55
  • Molecular Biology 50
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Citations per field, relative to Bishan Yang
Bishan Yang · 1×
Citations per year, relative to Bishan Yang
Bishan Yang · 1×

Countries citing papers authored by Bishan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Bishan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bishan Yang

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 4
3 7
4 18
5 25
6
CMUML Micro-Reader System for KBP 2016 Cold Start Slot Filling, Event Nugget Detection, and Event Argument Linking.
1
7 140
8 42
9 19
10 79
11 16
12 118
13
Joint Inference for Fine-grained Opinion Extraction
132
14
CPN-CORE: A Text Semantic Similarity System Infused with Opinion Knowledge
1
15
Extracting Opinion Expressions with semi-Markov Conditional Random Fields
75
16 8
17 10
18 114

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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