Yong Hu
Information Systems · with Liu · 2011–2015
A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 24 citations into it; #6,164 of 8,771 by trust here, #2,821 by citations
- Management Science and Operations Research — 16 citations into it; #11,041 of 11,946 by trust here, #8,469 by citations
- Accounting — 13 citations into it; #8,051 of 8,970 by trust here, #4,140 by citations
- Software — 9 citations into it; #1,095 of 1,227 by trust here, #1,147 by citations
Whom Yong Hu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Charalambos Spathis
- Magne Jørgensen
- Richard J. Bolton
- Thomas Bäck
- Efstathios Kirkos
- Efraim Turban
- Clifton Phua
Who trusts Yong Hu overall
- Longbing Cao
- Ehsan Hoseinzade
- Rosalind W. Picard
- Andrea Dal Pozzolo
- Sreekumar Pulakkazhy
- Saman Haratizadeh
- Sérgio Moro
- Aisha Abdallah
- Ruchika Malhotra
Papers from Yong Hu's perspective
Ordered by how strongly the researchers Yong Hu trusts endorse each paper. Same corpus, a different order for every researcher.
- Data Mining - Concepts and Techniques (Künstliche Intell.)
- Detecting false financial statements using published data: some evidence from Greece
- A Systematic Review of Software Development Cost Estimation Studies (IEEE Transactions on Software Engineering)
- Performing systematic literature reviews in software engineering (International Conference on Software Engineering)
- Survey of fraud detection techniques (IEEE International Conference on Networking, Sensing and Control)
- Statistical fraud detection: A review
- Data mining in soft computing framework: a survey (IEEE Trans. Neural Networks)
- On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms (Knowledge Discovery and Data Mining)
- Cross versus Within-Company Cost Estimation Studies: A Systematic Review (IEEE Transactions on Software Engineering)
- Data Mining techniques for the detection of fraudulent financial statements
Their papers
- The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature (2011) — 1,300 citations
- Efficient Action Extraction with Many-to-Many Relationship between Actions and Features (2011) — 9 citations
- Application of evolutionary computation for rule discovery in stock algorithmic trading: A literature review (2015) — 175 citations
- Systematic literature review of machine learning based software development effort estimation models (2012) — 528 citations