The digital economy, enterprise digital transformation, and enterprise innovation
- Authors
- Rui LiLiangyong Wan
In The Last Decade
doi.org/10.1002/mde.3569 →Countries where authors are citing The digital economy, enterprise digital transformation, and enterprise innovation
This map shows the geographic impact of The digital economy, enterprise digital transformation, and enterprise innovation. 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 The digital economy, enterprise digital transformation, and enterprise innovation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The digital economy, enterprise digital transformation, and enterprise innovation more than expected).
Fields of papers citing The digital economy, enterprise digital transformation, and enterprise innovation
This network shows the impact of The digital economy, enterprise digital transformation, and enterprise innovation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The digital economy, enterprise digital transformation, and enterprise innovation.
About The digital economy, enterprise digital transformation, and enterprise innovation
This paper, published in 2022, received 242 indexed citations . Written by Rui Li and Liangyong Wan covering the research area of Economics and Econometrics and Management Science and Operations Research. It is primarily cited by scholars working on Economics and Econometrics (165 citations), Strategy and Management (70 citations) and Management Science and Operations Research (41 citations). Published in Managerial and Decision Economics.
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.
This paper is also available at doi.org/10.1002/mde.3569.