Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics
20101.3k citationsFeng Zhu, Xiaoquan ZhangJournal of Marketingprofile →
Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics
20101.2k citationsFeng Zhu, Xiaoquan ZhangJournal of Marketingprofile →
Business model innovation and competitive imitation: The case of sponsor‐based business models
2012550 citationsFeng Zhu et al.Strategic Management Journalprofile →
Entry into platform‐based markets
2011461 citationsFeng Zhu, Marco IansitiStrategic Management Journalprofile →
Competing with complementors: An empirical look at Amazon.com
2018336 citationsFeng Zhu et al.Strategic Management Journalprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Feng Zhu'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 Feng Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Zhu more than expected).
This network shows the impact of papers produced by Feng Zhu. 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 Feng Zhu. The network helps show where Feng Zhu may publish in the future.
Co-authorship network of co-authors of Feng Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Feng Zhu.
A scholar is included among the top collaborators of Feng Zhu 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 Feng Zhu. Feng Zhu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Greenstein, Shane & Feng Zhu. (2012). Collective Intelligence and Neutral Point of View: The Case of Wikipedia. National Bureau of Economic Research.1 indexed citations
Zhu, Feng. (2010). A Study of Project Teaching Approach in China——Also on Applicability of Project Teaching Approach to Foreign Language Teaching in China. Kyouikugaku no kenkyuu to jissen.3 indexed citations
16.
Zhu, Feng & Xiaoquan Zhang. (2010). Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics. Journal of Marketing. 74(2). 133–148.1167 indexed citations breakdown →
17.
Zhu, Feng & Xiaoquan Zhang. (2010). Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics. Journal of Marketing. 74(2). 133–148.1260 indexed citations breakdown →
18.
Iansiti, Marco & Feng Zhu. (2007). DYNAMICS OF PLATFORM COMPETITION: EXPLORING THE ROLE OF INSTALLED BASE, PLATFORM QUALITY AND CONSUMER EXPECTATIONS. Journal of the Association for Information Systems. 38.28 indexed citations
19.
Zhu, Feng & Xiaoquan Zhang. (2006). The Influence of Online Consumer Reviews on the Demand for Experience Goods: The Case of Video Games. Journal of the Association for Information Systems.57 indexed citations
20.
Zhu, Feng. (2003). Discussion on zero heat preservation during quenching/normalizing structural steel. Shenyang Gongye Daxue xuebao.2 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.