Baohong Sun
Marketing · 2001–2020
A researcher in the Science corpus: 13 papers; trusts 33 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Marketing — 82 citations into it; #513 of 6,289 by trust here, #505 by citations
- Artificial Intelligence — 38 citations into it
- Economics and Econometrics — 33 citations into it; #5,477 of 23,481 by trust here, #7,434 by citations
- Management Science and Operations Research — 28 citations into it; #1,638 of 11,946 by trust here, #1,222 by citations
- Sociology and Political Science — 19 citations into it
- Statistics and Probability — 18 citations into it
- Strategy and Management — 15 citations into it; #10,696 of 10,874 by trust here, #3,971 by citations
- Organizational Behavior and Human Resource Management — 14 citations into it
Whom Baohong Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael P. Keane
- Tülin Erdem
- Sunil Gupta
- Wagner A. Kamakura
- Daniel McFadden
- Leo Breiman
- Jordan J. Louviere
- Thomas Hofmann
- H. V. van Heerde
- James J. Heckman
Who trusts Baohong Sun overall
- Michael P. Keane
- Kusum L. Ailawadi
- Pradeep Chintagunta
- Tülin Erdem
- Andrew T. Ching
- Scott A. Neslin
- Harald J. van Heerde
- Yi Zhao
- Ming-Hui Huang
- Oliver J. Rutz
Papers from Baohong Sun's perspective
Ordered by how strongly the researchers Baohong Sun trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Promotion Effect on Endogenous Consumption (2005) — 170 citations
- Measuring the Impact of Promotions on Brand Switching Under Rational Consumer Behavior (2002) — 48 citations
- Measuring the Impact of Promotions on Brand Switching When Consumers Are Forward Looking (2003) — 175 citations
- An Empirical Investigation of the Spillover Effects of Advertising and Sales Promotions in Umbrella Branding (2002) — 250 citations
- A Dynamic Model of Brand Choice When Price and Advertising Signal Product Quality (2008) — 351 citations
- Cross-Selling Sequentially Ordered Products: An Application to Consumer Banking Services (2005) — 262 citations
- Product Strategy for Innovators in Markets with Network Effects (2004) — 170 citations
- Understanding Reference-Price Shoppers: A Within- and Cross-Category Analysis (2001) — 127 citations
- Machine learning and AI in marketing – Connecting computing power to human insights (2020) — 426 citations
- Cross-Selling the Right Product to the Right Customer at the Right Time (2011) — 151 citations
- Stated intentions and purchase behavior: A unified model ☆ (2010) — 143 citations
- Internet Auction Features as Quality Signals. (2009) — 146 citations
- Why Do Consumers Buy Extended Service Contracts (2009) — 112 citations