Bin Fang

Sociology and Political Science · with Law · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Sociology and Political Science — 33 citations into it; #22,753 of 22,756 by trust here, #4,445 by citations
• Marketing — 13 citations into it; #6,289 of 6,289 by trust here, #1,334 by citations
• Economics and Econometrics — 10 citations into it
• Artificial Intelligence — 6 citations into it
• Information Systems — 5 citations into it

Whom Bin Fang trusts overall

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

1. Susan M. Mudambi
2. Zhiwei Liu
3. Anindya Ghose
4. Sangwon Park
5. Panagiotis G. Ipeirotis
6. Arvind Malhotra
7. Soo-Min Kim
8. Jiwoon Jeon
9. Carey Goh
10. Jingjing Liu

Who trusts Bin Fang overall

1. Raffaele Filieri
2. Ulrich Gunter
3. S. Curtis
4. Elisabetta Raguseo

Papers from Bin Fang's perspective

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

1. Automatically Assessing Review Helpfulness (Conference on Empirical Methods in Natural Language Processing)
2. Self-Selection and Information Role of Online Product Reviews
3. What Makes a Helpful Online Review? A Study of Customer Reviews on Amazon.com (MIS Q.)
4. Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics (IEEE Transactions on Knowledge and Data Engineering)
5. A framework to predict the quality of answers with non-textual features (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
6. Low-Quality Product Review Detection in Opinion Summarization (Conference on Empirical Methods in Natural Language Processing)
7. Modeling and Predicting the Helpfulness of Online Reviews (2008 Eighth IEEE International Conference on Data Mining)
8. An Empirical Examination of the Antecedents and Consequences of Contribution Patterns in Crowd-Funded Markets (Information systems research)
9. Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content (Marketing science (Providence, R.I.))
10. The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods

Their papers

• Analysis of the Perceived Value of Online Tourism Reviews: Influence of Readability and Reviewer Characteristics (2016) — 600 citations
• Effect of sharing economy on tourism industry employment. (2016) — 396 citations
• Effect of air quality in the place of origin on outbound tourism demand: Disposable income as a moderator (2018) — 120 citations