Han Wen

72 total papers · 1.6k total citations
42 papers, 1.1k citations indexed

About

Han Wen is a scholar working on Sociology and Political Science, Marketing and Food Science. According to data from OpenAlex, Han Wen has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Sociology and Political Science, 14 papers in Marketing and 12 papers in Food Science. Recurrent topics in Han Wen's work include Digital Marketing and Social Media (8 papers), Consumer Behavior in Brand Consumption and Identification (7 papers) and Hospitality and Tourism Education (7 papers). Han Wen is often cited by papers focused on Digital Marketing and Social Media (8 papers), Consumer Behavior in Brand Consumption and Identification (7 papers) and Hospitality and Tourism Education (7 papers). Han Wen collaborates with scholars based in United States, China and Hong Kong. Han Wen's co-authors include Xi Yu Leung, Bingjie Liu-Lastres, Junehee Kwon, Wei‐Jue Huang, Lan Xue, Bharath M. Josiam, Sanjukta Pookulangara, Xiaoye Li, Yee Ming Lee and Daniel L. Spears and has published in prestigious journals such as Tourism Management, International Journal of Hospitality Management and Journal of Retailing and Consumer Services.

In The Last Decade

Han Wen

41 papers receiving 1.1k citations

Hit Papers

A reflection on the Great... 2022 2026 2023 2024 2022 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Han Wen 554 437 218 167 145 42 1.1k
Tanya MacLaurin 625 1.1× 321 0.7× 163 0.7× 236 1.4× 50 0.3× 22 987
Carl P. Borchgrevink 374 0.7× 202 0.5× 724 3.3× 81 0.5× 58 0.4× 47 1.1k
Johye Hwang 461 0.8× 603 1.4× 316 1.4× 215 1.3× 68 0.5× 36 1.0k
Xiangping Li 777 1.4× 308 0.7× 152 0.7× 109 0.7× 52 0.4× 44 1.0k
Nigel Hemmington 558 1.0× 384 0.9× 366 1.7× 89 0.5× 148 1.0× 36 1.0k
Hanqun Song 796 1.4× 517 1.2× 222 1.0× 216 1.3× 60 0.4× 48 1.1k
Fiona X. Yang 870 1.6× 464 1.1× 341 1.6× 147 0.9× 64 0.4× 48 1.3k
Sheng-Fang Chou 545 1.0× 619 1.4× 262 1.2× 109 0.7× 80 0.6× 57 1.3k
Hyewon Youn 423 0.8× 548 1.3× 316 1.4× 237 1.4× 121 0.8× 40 1.1k
Hongbo Liu 895 1.6× 514 1.2× 178 0.8× 108 0.6× 52 0.4× 31 1.2k

Countries citing papers authored by Han Wen

Since Specialization
Citations

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

Fields of papers citing papers by Han Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Wen

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

All Works

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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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