B. Fang

Management Science and Operations Research · with Zhang · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 24 citations into it; #9,089 of 11,946 by trust here, #9,931 by citations
• Artificial Intelligence — 20 citations into it
• Finance — 15 citations into it
• Time-Series & Forecasting — 7 citations into it; #304 of 381 by trust here, #275 by citations
• Information Systems — 5 citations into it

Whom B. Fang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Moses Charikar
2. Monika Henzinger

Who trusts B. Fang overall

1. M. Ugur Gudelek
2. Omer Berat Sezer
3. A. Ozbayoglu

Papers from B. Fang's perspective

Ordered by how strongly the researchers B. Fang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Twitter mood predicts the stock market
2. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
3. More than Words: Quantifying Language to Measure Firms' Fundamentals
4. The Stock Sonar - Sentiment Analysis of Stocks Based on a Hybrid Approach
5. Semantic Frames to Predict Stock Price Movement
6. Correlating financial time series with micro-blogging activity
7. Textual analysis of stock market prediction using breaking financial news: The AZFin text system
8. The Behavior of Stock-Market Prices
9. Exploiting Topic based Twitter Sentiment for Stock Prediction
10. Using Structured Events to Predict Stock Price Movement: An Empirical Investigation

Their papers

• Improving stock market prediction via heterogeneous information fusion (2017) — 193 citations
• Effective and Fast Near Duplicate Detection via Signature-Based Compression Metrics (2016) — 8 citations