D. J. Wu

2.0k total citations
34 papers, 1.4k citations indexed

About

D. J. Wu is a scholar working on Strategy and Management, Management Science and Operations Research and Management Information Systems. According to data from OpenAlex, D. J. Wu has authored 34 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Strategy and Management, 16 papers in Management Science and Operations Research and 10 papers in Management Information Systems. Recurrent topics in D. J. Wu's work include Digital Platforms and Economics (15 papers), Auction Theory and Applications (9 papers) and Innovation Diffusion and Forecasting (6 papers). D. J. Wu is often cited by papers focused on Digital Platforms and Economics (15 papers), Auction Theory and Applications (9 papers) and Innovation Diffusion and Forecasting (6 papers). D. J. Wu collaborates with scholars based in United States, China and United Kingdom. D. J. Wu's co-authors include Paul R. Kleindorfer, Marius Florin Niculescu, Yifan Dou, Peng Huang, Chris Forman, Marco Ceccagnoli, Lizhen Xu, Sinan Aral, Erik Brynjolfsson and Yu Jeffrey Hu and has published in prestigious journals such as Management Science, Communications of the ACM and MIS Quarterly.

In The Last Decade

D. J. Wu

30 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. J. Wu United States	16	817	521	471	367	192	34	1.4k
Bing Jing China	16	641 0.8×	381 0.7×	752 1.6×	264 0.7×	146 0.8×	30	1.2k
Barrie R. Nault Canada	25	1.1k 1.4×	566 1.1×	432 0.9×	389 1.1×	267 1.4×	129	2.0k
Vidyanand Choudhary United States	17	870 1.1×	369 0.7×	721 1.5×	356 1.0×	177 0.9×	39	1.5k
Uday Apte United States	19	495 0.6×	812 1.6×	339 0.7×	132 0.4×	161 0.8×	55	1.7k
Birendra K. Mishra United States	17	457 0.6×	606 1.2×	243 0.5×	253 0.7×	169 0.9×	35	1.8k
Krishnan S. Anand United States	9	498 0.6×	710 1.4×	416 0.9×	368 1.0×	129 0.7×	11	1.3k
Ajit Kambil United States	18	662 0.8×	428 0.8×	395 0.8×	213 0.6×	391 2.0×	56	1.6k
Andrea Rangone Italy	18	611 0.7×	364 0.7×	202 0.4×	287 0.8×	160 0.8×	70	1.2k
Andreas Hein Germany	14	707 0.9×	227 0.4×	433 0.9×	134 0.4×	297 1.5×	59	1.3k
Sangeet Paul Choudary	4	885 1.1×	217 0.4×	611 1.3×	161 0.4×	536 2.8×	5	1.6k

Countries citing papers authored by D. J. Wu

Since Specialization

Citations

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

Fields of papers citing papers by D. J. Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. J. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of D. J. Wu. A scholar is included among the top collaborators of D. J. 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 D. J. Wu. D. J. 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

Bhargava, Hemant K., Susan A. Brown, Anindya Ghose, et al.. (2025). Exploring Generative AI’s Impact on Research: Perspectives from Senior Scholars in Management Information Systems. ACM Transactions on Management Information Systems. 16(2). 1–9.

Wu, D. J., et al.. (2024). A Smart Ad Display System. Information Systems Research. 35(4). 1873–1889.

Gu, Zheyin, Xuying Zhao, & D. J. Wu. (2024). A Model of Shoppertainment Live Streaming. Management Science. 71(8). 6816–6835. 10 indexed citations

Lin, Mingfeng, et al.. (2021). Revealed Wisdom of the Crowd: Informational Value of Bids. SSRN Electronic Journal.

Lin, Mingfeng, et al.. (2020). Education Crowdfunding and Student Performance: An Empirical Study. Information Systems Research. 32(1). 53–71. 21 indexed citations

Niculescu, Marius Florin, D. J. Wu, & Lizhen Xu. (2018). Strategic Intellectual Property Sharing: Competition on an Open Technology Platform Under Network Effects. Information Systems Research. 29(2). 498–519. 82 indexed citations

Dou, Yifan & D. J. Wu. (2018). Platform Competition Under Network Effects: Piggybacking and Optimal Subsidization. SSRN Electronic Journal. 8 indexed citations

Overby, Eric, et al.. (2014). Is Social Network Platform Integration Valuable for an Online Service? A Randomized Field Experiment and Archival Data Analysis. Journal of the Association for Information Systems. 1 indexed citations

Dou, Yifan, Marius Florin Niculescu, & D. J. Wu. (2013). Engineering Optimal Network Effects via Social Media Features and Seeding in Markets for Digital Goods and Services. SSRN Electronic Journal. 1 indexed citations

10.

Huang, Peng, Marco Ceccagnoli, Chris Forman, & D. J. Wu. (2013). IT Knowledge Spillovers and Productivity: Evidence from Enterprise Software. SSRN Electronic Journal. 7 indexed citations

11.

Huang, Peng, Marco Ceccagnoli, Chris Forman, & D. J. Wu. (2012). Appropriability Mechanisms and the Platform Partnership Decision: Evidence from Enterprise Software. 6 indexed citations

12.

Huang, Peng, Marco Ceccagnoli, Chris Forman, & D. J. Wu. (2012). Appropriability Mechanisms and the Platform Partnership Decision: Evidence from Enterprise Software. Management Science. 59(1). 102–121. 147 indexed citations

13.

Wu, D. J., Min Ding, & Lorin M. Hitt. (2012). IT Implementation Contract Design: Analytical and Experimental Investigation of IT Value, Learning, and Contract Structure. Information Systems Research. 24(3). 787–801. 31 indexed citations

14.

Su, Qi, et al.. (2010). Notice of Retraction: Knowledge transfer and learning race in strategic alliance. 1. 147–151. 1 indexed citations

15.

Huang, Peng, Marco Ceccagnoli, Chris Forman, & D. J. Wu. (2009). When Do ISVs Join a Platform Ecosystem? Evidence from the Enterprise Software Industry. Journal of the Association for Information Systems. 161. 21 indexed citations

16.

Aral, Sinan, Erik Brynjolfsson, & D. J. Wu. (2006). Which Came First, IT or Productivity? The Virtuous Cycle of Investment and Use in Enterprise Systems. Journal of the Association for Information Systems. 110. 79 indexed citations

17.

Wu, D. J., et al.. (2006). E-Sourcing: Impact ff Bidding Behavior and Non-Price Attributes. Journal of the Association for Information Systems. 118. 9 indexed citations

18.

Wu, D. J., Min Ding, & Lorin M. Hitt. (2004). Learning in ERP contracting: a principal-agent analysis. 9 pp.–9 pp.. 6 indexed citations

19.

Kleindorfer, Paul R., et al.. (2003). Codifiability, relationship-specific IT investment, and optimal contracting. 19. 10 pp.–10 pp.. 4 indexed citations

20.

Kleindorfer, Paul R. & D. J. Wu. (2003). Integrating Long- and Short-Term Contracting via Business-to-Business Exchanges for Capital-Intensive Industries. Management Science. 49(11). 1597–1615. 193 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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