Jiahe Song
- Management Information Systems top 5%
- Strategy and Management top 5%
- Sociology and Political Science
- Information Systems
- Marketing top 10%
- Co-authors
- Casey G. CegielskiBenjamin T. HazenKang LeeLin JiaYichuan WangNick HajliPei XuBernard T. Han
- Topics
- Technology Adoption and User Behaviour (7 papers)Digital Marketing and Social Media (6 papers)Big Data and Business Intelligence (4 papers)
- Journals
- Journal of Medical Internet ResearchInformation & ManagementInternational Journal of Information Management
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jiahe Song
22 papers receiving 406 citations
Peers
Comparison fields: 5 of 80
- Management Information Systems 194
- Strategy and Management 190
- Sociology and Political Science 47
- Information Systems 44
- Marketing 43
Countries citing papers authored by Jiahe Song
This map shows the geographic impact of Jiahe Song'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 Jiahe Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiahe Song more than expected).
Fields of papers citing papers by Jiahe Song
This network shows the impact of papers produced by Jiahe Song. 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 Jiahe Song. The network helps show where Jiahe Song may publish in the future.
Co-authorship network of co-authors of Jiahe Song
This figure shows the co-authorship network connecting the top 25 collaborators of Jiahe Song. A scholar is included among the top collaborators of Jiahe Song 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 Jiahe Song. Jiahe Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 13 | |
| 3 | 24 | |
| 4 | 11 | |
| 5 | 6 | |
| 6 | 26 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | The Impact of Supply Chain Analytics on Operational Supply Chain Transparency: An Information Processing View | 2 |
| 14 | 2 | |
| 15 | The conceptualization of data-driven decision making capability | 15 |
| 16 | Antecedents of User Stickiness and Loyalty and Their Effects on Users' Group-Buying Repurchase Intention | 10 |
| 17 | 3 | |
| 18 | 4 | |
| 19 | Deploying Lean in Healthcare: Evaluating Information Technology Effectiveness in U.S. Hospital Pharmacies | 5 |
| 20 | 48 |
About Jiahe Song
Jiahe Song is a scholar working on Medical Laboratory Technology, Information Systems and Management and Health Information Management, having authored 23 papers that have together received 419 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (7 papers), Digital Marketing and Social Media (6 papers) and Big Data and Business Intelligence (4 papers). The work is most often cited by research in Management Information Systems (194 citations), Strategy and Management (190 citations) and Medical Laboratory Technology (11 citations). Jiahe Song has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Casey G. Cegielski, Benjamin T. Hazen, Kang Lee, Lin Jia, Yichuan Wang, Nick Hajli, Pei Xu, Bernard T. Han, Dianne J. Hall and Lijuan Huang. Their work appears in journals such as Journal of Medical Internet Research, Information & Management and International Journal of Information Management.
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.