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.
Revitalizing traditional villages through rural tourism: A case study of Yuanjia Village, Shaanxi Province, China
This map shows the geographic impact of Bihu 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 Bihu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bihu Wu more than expected).
This network shows the impact of papers produced by Bihu 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 Bihu Wu. The network helps show where Bihu Wu may publish in the future.
Co-authorship network of co-authors of Bihu Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Bihu Wu.
A scholar is included among the top collaborators of Bihu 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 Bihu Wu. Bihu Wu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Park, Jinah, et al.. (2018). International tourists' geographical imagination on China and its impact on their tourism motivation.. Luyou xuekan. 33(9). 38–48.5 indexed citations
6.
Yan, Fang, Jie Yin, & Bihu Wu. (2017). Climate Change and Tourism: A Scientometric Analysis Using Citespace. 4(8).4 indexed citations
7.
Wu, Bihu, et al.. (2017). A study on place identity model based on the leisure temporal-spatial involvement.. Luyou xuekan. 32(3). 95–106.1 indexed citations
8.
Xu, Xiaobo, Bihu Wu, Binyi Liu, & Ganghua Chen. (2016). The development of commercial spaces in tourist historic districts: The case of Shuangdong, Yangzhou. 71(12). 2232.3 indexed citations
9.
Zhang, Jingru, et al.. (2015). An integrative model of destination image in a country context: a case study based on international tourists in Beijing.. Luyou xuekan. 30(3). 13–22.
Wu, Bihu, et al.. (2013). A study on the relationship between place identity and leisure benefits for individual visitors from Mainland China to Taiwan.. Luyou xuekan. 28(12). 54–63.2 indexed citations
12.
Zhang, Min, Xiaoli Pan, & Bihu Wu. (2012). Research on residents' perceptions on tourism impacts and attitudes: a case study of Pingyao Ancient City. QRU Quaderns de Recerca en Urbanisme. 1–10.17 indexed citations
Wu, Bihu. (2011). Progress about the Study of Overseas Self-driving Travel. Luyou xuekan.1 indexed citations
15.
Wu, Bihu, et al.. (2011). Knowledge Domains of China’s Tourism Research. 431–441.3 indexed citations
16.
Wu, Bihu. (2007). A Comparative Study on the Friendly Degree of Internet Information between International Tourist Cities both at Home and Abroad. Luyou xuekan.1 indexed citations
17.
Li, Xiaoxiao, Xiaolong Ma, & Bihu Wu. (2006). Spatial Structure of Chinese Excellent Tourism Cities and Its Mechanism. Ganhanqu ziyuan yu huanjing.1 indexed citations
18.
Wu, Bihu. (2004). Spatial Structure of Tourist Flow in Xi'an Tourism Region. Geography and Geo-Information Science.1 indexed citations
19.
Wu, Bihu. (2004). A Study on the Mechanism and Creating Models of Tourism Advertising Theme. Luyou xuekan.1 indexed citations
20.
Wu, Bihu. (2004). A Comparative Study on Regional Tourism Cooperation between Yangtze River Delta and Bohai Rim. Luyou xuekan.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.