Weifang Wu

501 total citations
11 papers, 348 citations indexed

About

Weifang Wu is a scholar working on Marketing, Sociology and Political Science and Management Science and Operations Research. According to data from OpenAlex, Weifang Wu has authored 11 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Marketing, 5 papers in Sociology and Political Science and 4 papers in Management Science and Operations Research. Recurrent topics in Weifang Wu's work include Digital Marketing and Social Media (5 papers), Consumer Market Behavior and Pricing (5 papers) and Auction Theory and Applications (4 papers). Weifang Wu is often cited by papers focused on Digital Marketing and Social Media (5 papers), Consumer Market Behavior and Pricing (5 papers) and Auction Theory and Applications (4 papers). Weifang Wu collaborates with scholars based in Hong Kong, China and Netherlands. Weifang Wu's co-authors include John Qi Dong, Pamela V. Ulrich, Melody Y. Kiang, Qiang Ye, Fangfang Sun, Qiang Ye, Yixin Zhang, Rong Zheng, Xiaoquan Zhang and Haixia Yang and has published in prestigious journals such as Sustainability, Information & Management and The Journal of Strategic Information Systems.

In The Last Decade

Weifang Wu

11 papers receiving 323 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Weifang Wu Hong Kong 6 159 111 71 70 65 11 348
Kaveh Abhari United States 11 112 0.7× 86 0.8× 56 0.8× 46 0.7× 95 1.5× 48 356
Gaurav Sabnis United States 6 237 1.5× 99 0.9× 63 0.9× 55 0.8× 53 0.8× 6 411
Hardik Bhimani Australia 3 136 0.9× 47 0.4× 62 0.9× 63 0.9× 70 1.1× 4 267
Hyoryung Nam United States 6 204 1.3× 167 1.5× 38 0.5× 55 0.8× 46 0.7× 8 352
Andrea Resca Italy 6 104 0.7× 62 0.6× 41 0.6× 30 0.4× 86 1.3× 19 325
Junyeong Lee South Korea 9 95 0.6× 68 0.6× 32 0.5× 88 1.3× 108 1.7× 20 357
Sridhar S. Papagari United States 5 64 0.4× 71 0.6× 42 0.6× 34 0.5× 150 2.3× 7 322
Choong Kwon Lee South Korea 12 104 0.7× 34 0.3× 44 0.6× 89 1.3× 62 1.0× 28 340
Chia‐Liang Hung Taiwan 14 143 0.9× 108 1.0× 22 0.3× 103 1.5× 110 1.7× 40 454
John R. Drake United States 9 82 0.5× 26 0.2× 50 0.7× 40 0.6× 29 0.4× 26 295

Countries citing papers authored by Weifang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Weifang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weifang Wu

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

All Works

11 of 11 papers shown
1.
Wang, Yuanyuan, et al.. (2023). Satisfaction with and Continuous Usage Intention towards Mobile Health Services: Translating Users’ Feedback into Measurement. Sustainability. 15(2). 1101–1101. 5 indexed citations
2.
Dong, John Qi, Weifang Wu, & Yixin Zhang. (2018). The faster the better? Innovation speed and user interest in open source software. Information & Management. 56(5). 669–680. 14 indexed citations
3.
Wu, Weifang, et al.. (2017). The Impacts of Reviews on Hotel Satisfaction: A Sentiment Analysis Method. Shuju fenxi yu zhishi faxian. 1(3). 62–71. 3 indexed citations
4.
Dong, John Qi & Weifang Wu. (2015). Business value of social media technologies: Evidence from online user innovation communities. The Journal of Strategic Information Systems. 24(2). 113–127. 151 indexed citations
5.
Wu, Weifang, Xiaoquan Zhang, & Rong Zheng. (2014). Crowd Governance: The Monitoring Role of Wikipedia in the Financial Market. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3 indexed citations
6.
Ye, Qiang, et al.. (2013). In-Depth Analysis of the Seller Reputation and Price Premium Relationship: A Comparison between Ebay Us and Taobao China. Journal of electronic commerce research. 14(1). 1. 49 indexed citations
7.
Wu, Weifang. (2012). ANALYZING WORD-OF-MOUTH IN SOCIAL MEDIA: THE IMPACT AND GENERATION PATTERNS. Pacific Asia Conference on Information Systems. 105(3). 189–9. 3 indexed citations
8.
Wu, Weifang & Rong Zheng. (2012). The impact of word-of-mouth on book sales. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 74–75. 2 indexed citations
9.
Ye, Qiang, et al.. (2009). The Impact of Seller Reputation on the Performance of online sales. ACM SIGMIS Database the DATABASE for Advances in Information Systems. 40(1). 12–19. 27 indexed citations
10.
Wu, Weifang & Qiang Ye. (2008). The impact of reputation system on C2C online sales: Evidence from China. 8. 523–528. 1 indexed citations
11.
Ulrich, Pamela V., et al.. (2003). Consumer co‐design of apparel for mass customization. Journal of Fashion Marketing and Management. 7(4). 398–412. 90 indexed citations

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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