Pengkun Wu

792 total citations · 1 hit paper
20 papers, 555 citations indexed

About

Pengkun Wu is a scholar working on Sociology and Political Science, Management Information Systems and Information Systems. According to data from OpenAlex, Pengkun Wu has authored 20 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Sociology and Political Science, 4 papers in Management Information Systems and 4 papers in Information Systems. Recurrent topics in Pengkun Wu's work include Digital Marketing and Social Media (7 papers), Supply Chain and Inventory Management (4 papers) and Demographic Trends and Gender Preferences (4 papers). Pengkun Wu is often cited by papers focused on Digital Marketing and Social Media (7 papers), Supply Chain and Inventory Management (4 papers) and Demographic Trends and Gender Preferences (4 papers). Pengkun Wu collaborates with scholars based in China, Hong Kong and France. Pengkun Wu's co-authors include Yuanyuan Wu, Eric W.T. Ngai, Chong Wu, Yi He, Qingyun Xu, Bîng Xu, Dong Zhang, Yudan Dou, Fangzhou Liu and Yao Wen and has published in prestigious journals such as European Journal of Operational Research, Journal of the Operational Research Society and International Journal of Production Research.

In The Last Decade

Pengkun Wu

19 papers receiving 540 citations

Hit Papers

Fake online reviews: Literature review, synthesis, and di... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengkun Wu China 8 264 171 138 126 110 20 555
Oliver Müller Germany 9 195 0.7× 197 1.2× 64 0.5× 62 0.5× 103 0.9× 22 527
Min‐Seok Pang United States 13 150 0.6× 104 0.6× 96 0.7× 54 0.4× 144 1.3× 43 638
Artem Timoshenko United States 7 248 0.9× 251 1.5× 54 0.4× 154 1.2× 73 0.7× 15 565
Shahriar Sajib Australia 11 102 0.4× 84 0.5× 83 0.6× 149 1.2× 157 1.4× 14 582
Vasudeva Akula United States 10 332 1.3× 146 0.9× 88 0.6× 183 1.5× 120 1.1× 17 634
Samadrita Bhattacharyya India 6 260 1.0× 111 0.6× 59 0.4× 67 0.5× 74 0.7× 8 475
Iman Raeesi Vanani Iran 13 158 0.6× 107 0.6× 80 0.6× 99 0.8× 104 0.9× 49 527
Byung Cho Kim South Korea 13 147 0.6× 170 1.0× 112 0.8× 40 0.3× 84 0.8× 27 523
Di Xu China 11 360 1.4× 244 1.4× 50 0.4× 138 1.1× 112 1.0× 31 704

Countries citing papers authored by Pengkun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Pengkun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengkun Wu

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

All Works

20 of 20 papers shown
1.
Shu, Lingli, Xuedong Liang, & Pengkun Wu. (2025). Values of private traffic for community group-buying platform: A game-theoretic model of subsidy strategy choice. Omega. 138. 103414–103414.
2.
Wen, Yao, Qingxian An, Yeming Gong, & Pengkun Wu. (2024). Structural rearrangement of the network system from an efficiency perspective: A silver lining of profit improvement. European Journal of Operational Research. 316(3). 1001–1011. 2 indexed citations
3.
Wu, Yuanyuan, et al.. (2024). Stimulating positive reviews by combining financial and compassionate incentives. Internet Research. 35(3). 1002–1028. 2 indexed citations
4.
Wu, Pengkun, et al.. (2024). No pains no gains: understanding the impacts of physician efforts in online reviews on outpatient appointment. Aslib Journal of Information Management. 1 indexed citations
5.
Ngai, Eric W.T., et al.. (2024). Understanding users’ news-sharing behaviors: roles of risk perception, believability, fake news awareness and social tie variety. Industrial Management & Data Systems. 125(2). 433–457. 2 indexed citations
6.
Zhang, Dong, Pengkun Wu, Chong Wu, & Eric W.T. Ngai. (2024). Forecasting duty-free shopping demand with multisource data: a deep learning approach. Annals of Operations Research. 339(1-2). 861–887. 3 indexed citations
7.
Wu, Pengkun, et al.. (2023). Investigating senders’ switching intention to smart lockers: An extension of push-pull-mooring model. Journal of Retailing and Consumer Services. 74. 103414–103414. 19 indexed citations
8.
Wu, Pengkun, Eric W.T. Ngai, & Yuanyuan Wu. (2023). Impact of praise cashback strategy: Implications for consumers and e‐businesses. Production and Operations Management. 32(9). 2825–2845. 6 indexed citations
9.
Wu, Yuanyuan, Eric W.T. Ngai, Pengkun Wu, & Chong Wu. (2022). Fake news on the internet: a literature review, synthesis and directions for future research. Internet Research. 32(5). 1662–1699. 36 indexed citations
10.
Zhang, Dong, Pengkun Wu, & Chong Wu. (2021). The role of key online reviews in affecting online hotel booking: an empirical investigation. Industrial Management & Data Systems. 122(2). 499–520. 21 indexed citations
11.
Wu, Yuanyuan, Eric W.T. Ngai, Pengkun Wu, & Chong Wu. (2020). Fake online reviews: Literature review, synthesis, and directions for future research. Decision Support Systems. 132. 113280–113280. 236 indexed citations breakdown →
12.
Wu, Pengkun. (2020). Population Development Challenges in China. 3 indexed citations
14.
He, Yi, Qingyun Xu, & Pengkun Wu. (2019). Omnichannel retail operations with refurbished consumer returns. International Journal of Production Research. 58(1). 271–290. 91 indexed citations
15.
Wu, Pengkun, Eric W.T. Ngai, & Yuanyuan Wu. (2018). Toward a real-time and budget-aware task package allocation in spatial crowdsourcing. Decision Support Systems. 110. 107–117. 39 indexed citations
16.
Wu, Pengkun, Chong Wu, & Yuanyuan Wu. (2017). Reforming Path of China’s Fertility Policy in Stabilizing Demographic Dividends Perspective. Social Indicators Research. 137(3). 1225–1243. 6 indexed citations
17.
Wu, Pengkun, et al.. (2016). An integrated water strategy based on the current circumstances in China. Applied Mathematical Modelling. 40(17-18). 8108–8124. 7 indexed citations
18.
Wu, Pengkun, Yuanyuan Wu, & Chong Wu. (2016). Research on Fertility Policy in China: The Relative Necessity for Reform Among the Different Provinces. Social Indicators Research. 135(2). 751–767. 2 indexed citations
19.
Wu, Pengkun, et al.. (2016). Simulating population development under new fertility policy in China based on system dynamics model. Quality & Quantity. 51(5). 2171–2189. 7 indexed citations
20.
He, Yi, Qingyun Xu, Bîng Xu, & Pengkun Wu. (2016). Supply chain coordination in quality improvement with reference effects. Journal of the Operational Research Society. 67(9). 1158–1168. 71 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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