Philip Fei Wu

1.5k total citations
40 papers, 1.1k citations indexed

About

Philip Fei Wu is a scholar working on Sociology and Political Science, Communication and Information Systems. According to data from OpenAlex, Philip Fei Wu has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Sociology and Political Science, 10 papers in Communication and 8 papers in Information Systems. Recurrent topics in Philip Fei Wu's work include Digital Marketing and Social Media (6 papers), Technology Adoption and User Behaviour (6 papers) and Knowledge Management and Sharing (5 papers). Philip Fei Wu is often cited by papers focused on Digital Marketing and Social Media (6 papers), Technology Adoption and User Behaviour (6 papers) and Knowledge Management and Sharing (5 papers). Philip Fei Wu collaborates with scholars based in United Kingdom, United States and Australia. Philip Fei Wu's co-authors include Yan Qu, Xiaoqing Wang, Jennifer Preece, Paul T. Jaeger, Ben Shneiderman, Kenneth R. Fleischmann, Nikolaos Korfiatis, Yingqin Zheng, Michael Zimmer and Jessica Vitak and has published in prestigious journals such as Cancer Research, Journal of Virology and Social Science & Medicine.

In The Last Decade

Philip Fei Wu

37 papers receiving 1.0k citations

Peers

Philip Fei Wu

SPS

COMMU

ISM

MARKE

Jason Watson Australia

Miriam Meckel Switzerland

Deborah Bunker Australia

Uwe Matzat Netherlands

Alyson L. Young United States

Bahiyah Omar Malaysia

Lu Yan United States

Md. Shamim Talukder Bangladesh

Ana Reyes-Menéndez Spain

Jason Watson Australia

Philip Fei Wu

631 ×0.9

SPS

366 ×1.2

COMMU

186 ×1.0

ISM

244 ×1.4

96 ×0.6

MARKE

Citations per year, relative to Philip Fei Wu Philip Fei Wu (= 1×) peers Jason Watson

Countries citing papers authored by Philip Fei Wu

Since Specialization

Citations

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

Fields of papers citing papers by Philip Fei Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Fei Wu

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

All Works

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20 of 20 papers shown

Zhang, Li, Houshyar Asadi, Chee Peng Lim, et al.. (2025). Cluster search optimisation of deep neural networks for audio emotion classification. Knowledge-Based Systems. 314. 113223–113223. 2 indexed citations

Wu, Philip Fei, Charlotte Summers, Arjun Panesar, Amit Kaura, & Li Zhang. (2024). AI Hesitancy and Acceptability—Perceptions of AI Chatbots for Chronic Health Management and Long COVID Support: Survey Study. JMIR Human Factors. 11. e51086–e51086. 13 indexed citations

Wu, Philip Fei, et al.. (2021). Supporting Mental Health During the COVID-19 Pandemic Using a Digital Behavior Change Intervention: An Open-Label, Single-Arm, Pre-Post Intervention Study. JMIR Formative Research. 5(10). e31273–e31273. 14 indexed citations

Wu, Philip Fei & Yingqin Zheng. (2020). Time is of the Essence: Spatiotemporalities of Food Delivery Platform Work in China. Journal of the Association for Information Systems. 12 indexed citations

Peruta, Marco Della, Mathew Robson, Philip Fei Wu, et al.. (2020). Abstract 1070: AUTO7: Anti-PSMA humanized CAR T-cell with improved persistence and resistance to tumor microenvironment for metastatic castration resistant prostate cancer (mCRPC). Cancer Research. 80(16_Supplement). 1070–1070. 1 indexed citations

Wu, Philip Fei. (2019). Motivation crowding in online product reviewing: A qualitative study of amazon reviewers. Information & Management. 56(8). 103163–103163. 51 indexed citations

Wu, Philip Fei. (2018). The privacy paradox in the context of online social networking: A self‐identity perspective. Journal of the Association for Information Science and Technology. 70(3). 207–217. 36 indexed citations

Wu, Philip Fei, et al.. (2017). The Impact of Online Health Communities on Patients' Health Self-Management. Journal of the Association for Information Systems. 3 indexed citations

Tang, Jian, Ping Zhang, & Philip Fei Wu. (2013). Passive or Active: Understanding Consumers’ Behavioral Responses to Online Advertising. Surrey Research Insight Open Access (The University of Surrey). 188.

10.

Wu, Philip Fei. (2013). In Search of Negativity Bias: An Empirical Study of Perceived Helpfulness of Online Reviews. Psychology and Marketing. 30(11). 971–984. 199 indexed citations

11.

Wu, Philip Fei & Nikolaos Korfiatis. (2013). You scratch someone's back and we'll scratch yours: Collective reciprocity in social Q&A communities. Journal of the American Society for Information Science and Technology. 64(10). 2069–2077. 24 indexed citations

12.

Wu, Philip Fei & Nikolaos Korfiatis. (2012). You Scratch Someone's Back and We'll Scratch Yours: Collective Reciprocity in Social Q&A Communities. SSRN Electronic Journal. 3 indexed citations

13.

Wu, Philip Fei. (2012). A Mixed Methods Approach to Technology Acceptance Research. Journal of the Association for Information Systems. 13(3). 172–187. 65 indexed citations

14.

Wu, Philip Fei, Hans van der Heijden, & Nikolaos Korfiatis. (2011). THE INFLUENCES OF NEGATIVITY AND REVIEW QUALITY ON THE HELPFULNESS OF ONLINE REVIEWS. Journal of the Association for Information Systems. 49 indexed citations

15.

Wu, Philip Fei. (2011). A Mixed Methods Approach to Technology Acceptance Research. Journal of the Association for Information Systems. 15 indexed citations

16.

Wu, Philip Fei. (2009). Opening the Black Boxes of TAM: Towards a Mixed-Methods Approach. Journal of the Association for Information Systems. 101. 10 indexed citations

17.

Wu, Philip Fei, Yan Qu, Jennifer Preece, et al.. (2008). Community Response Grid (CRG) for a University Campus: Design Requirements and Implications. Surrey Research Insight Open Access (The University of Surrey). 34–43. 13 indexed citations

18.

Wu, Philip Fei, Jenny Preece, Ben Shneiderman, Paul T. Jaeger, & Yan Qu. (2007). Community Response Grids for Older Adults: Motivations, Usability, and Sociability. Journal of the Association for Information Systems. 506. 10 indexed citations

19.

Jaeger, Paul T., Kenneth R. Fleischmann, Jennifer Preece, et al.. (2007). Community Response Grids: Using Information Technology to Help Communities Respond to Bioterror Emergencies. Biosecurity and Bioterrorism Biodefense Strategy Practice and Science. 5(4). 335–346. 11 indexed citations

20.

Jaeger, Paul T., Ben Shneiderman, Kenneth R. Fleischmann, et al.. (2007). Community response grids: E-government, social networks, and effective emergency management. Telecommunications Policy. 31(10-11). 592–604. 164 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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