Shaokun Fan

1.6k total citations · 1 hit paper
36 papers, 980 citations indexed

About

Shaokun Fan is a scholar working on Information Systems, Management Information Systems and Artificial Intelligence. According to data from OpenAlex, Shaokun Fan has authored 36 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Information Systems, 12 papers in Management Information Systems and 9 papers in Artificial Intelligence. Recurrent topics in Shaokun Fan's work include Blockchain Technology Applications and Security (8 papers), Business Process Modeling and Analysis (5 papers) and Service-Oriented Architecture and Web Services (5 papers). Shaokun Fan is often cited by papers focused on Blockchain Technology Applications and Security (8 papers), Business Process Modeling and Analysis (5 papers) and Service-Oriented Architecture and Web Services (5 papers). Shaokun Fan collaborates with scholars based in United States, China and Hong Kong. Shaokun Fan's co-authors include Jing Zhao, Jiaqi Yan, Junbo Zhao, Raymond Y.K. Lau, J. Leon Zhao, Noyan Ilk, Ji Wu, Guangzhi Shang, J. L. Zhao and Daning Hu and has published in prestigious journals such as Research Policy, MIS Quarterly and Journal of Operations Management.

In The Last Decade

Shaokun Fan

33 papers receiving 925 citations

Hit Papers

align trajectories

What are hit papers?

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.

Overview of business innovations and research opportunities in blockchain and introduction to the special issue

2016 342 citations Jing Zhao, Shaokun Fan et al. Financial Innovation profile →

Peers

Shaokun Fan

IS

MIS

SPS

SM

MARKE

Narayan Ramasubbu United States

Marten Risius Germany

Kun Chen China

Christoph Müller-Bloch Denmark

Seung Ryul Jeong South Korea

Jolien Ubacht Netherlands

Muriati Mukhtar Malaysia

Mauro de Mesquita Spínola Brazil

Xiaobo Xu China

Chandrasekar Subramaniam United States

Narayan Ramasubbu United States

Shaokun Fan

540 ×1.1

IS

368 ×1.0

MIS

181 ×1.0

SPS

279 ×1.9

SM

102 ×0.7

MARKE

Citations per year, relative to Shaokun Fan Shaokun Fan (= 1×) peers Narayan Ramasubbu

Countries citing papers authored by Shaokun Fan

Since Specialization

Citations

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

Fields of papers citing papers by Shaokun Fan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaokun Fan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Fan, Shaokun, et al.. (2025). Uncovering gold in ash: identifying sleeping beauties among massive unprofitable patents. Journal of Informetrics. 19(3). 101674–101674.

2.

Fan, Shaokun, et al.. (2023). From Data Processing to Blockchain Networking: A Recount and Projection of Information Systems Research. SSRN Electronic Journal. 1 indexed citations

3.

Shang, Guangzhi, Noyan Ilk, & Shaokun Fan. (2022). Need for speed, but how much does it cost? Unpacking the fee‐speed relationship in Bitcoin transactions. Journal of Operations Management. 69(1). 102–126. 22 indexed citations

4.

Fan, Shaokun, et al.. (2021). Dividend or No Dividend in Delegated Blockchain Governance: A Game Theoretic Analysis. Journal of Systems Science and Systems Engineering. 30(3). 288–306. 9 indexed citations

5.

Ilk, Noyan & Shaokun Fan. (2020). Combining Textual Cues with Social Clues: Utilizing Social Features to Improve Sentiment Analysis in Social Media. Decision Sciences. 53(2). 320–347. 8 indexed citations

6.

Chen, Jiyao, et al.. (2020). Destabilization and consolidation: Conceptualizing, measuring, and validating the dual characteristics of technology. Research Policy. 50(1). 104115–104115. 36 indexed citations

7.

Shen, Jia, Jiyao Chen, & Shaokun Fan. (2019). Knowledge networks, collaboration networks, and innovation: a replication and extension. Academy of Management Proceedings. 2019(1). 18969–18969. 1 indexed citations

8.

Zhao, Jindong, et al.. (2018). Blockchain-Enabled Trust: The Case of Inter-Firm Dataflow.. Journal of the Association for Information Systems. 2 indexed citations

9.

Fan, Shaokun, Xin Li, & J. Leon Zhao. (2017). Collaboration Process Pattern Approach to Improving Teamwork Performance: A Data Mining-Based Methodology. INFORMS journal on computing. 29(3). 438–456. 16 indexed citations

10.

Wu, Ji, Shaokun Fan, & J. Leon Zhao. (2017). Community engagement and online word of mouth: An empirical investigation. Information & Management. 55(2). 258–270. 83 indexed citations

11.

Zhao, Jing, Shaokun Fan, & Jiaqi Yan. (2016). Overview of business innovations and research opportunities in blockchain and introduction to the special issue. Financial Innovation. 2(1). 342 indexed citations breakdown →

12.

Fan, Shaokun, Raymond Y.K. Lau, & Junbo Zhao. (2015). Demystifying Big Data Analytics for Business Intelligence Through the Lens of Marketing Mix. Big Data Research. 2(1). 28–32. 186 indexed citations

13.

Wu, Ji, et al.. (2014). Formation and effect of social interactions in online brand community: An empirical investigation. Journal of the Association for Information Systems. 99.

14.

Zhang, Xiaoying, Aris M. Ouksel, Shaokun Fan, & Hengchang Liu. (2014). Scalable audience targeted models for brand advertising on social networks. 341–344. 2 indexed citations

15.

Fan, Shaokun, Choon Ling Sia, & J. Leon Zhao. (2012). Towards collaboration virtualization theory. Pacific Asia Conference on Information Systems. 5. 9 indexed citations

16.

Fan, Shaokun, J. L. Zhao, Wanchun Dou, & Manlu Liu. (2012). A framework for transformation from conceptual to logical workflow models. Decision Support Systems. 54(1). 781–794. 10 indexed citations

17.

Zhao, Jun, Shaokun Fan, & Daning Hu. (2009). A knowledge flow management system for community software development. 1 indexed citations

18.

Dou, Wanchun, Jing Zhao, & Shaokun Fan. (2009). A collaborative scheduling approach for service-driven scientific workflow execution. Journal of Computer and System Sciences. 76(6). 416–427. 5 indexed citations

19.

Dou, Wanchun, et al.. (2007). A fuzzy directed graph-based QoS model for service composition. Wuhan University Journal of Natural Sciences. 12(5). 861–865. 1 indexed citations

20.

Liu, Xiping, Wanchun Dou, Shaokun Fan, & Shijie Cai. (2006). The Problem-Based Scientific Workflow Design and Performance in Grid Environments. 3779. 267–274. 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.

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