Cen Huang
- Molecular Biology
- Strategy and Management top 10%
- Sociology and Political Science
- Accounting top 10%
- Organic Chemistry
- Co-authors
- Michael C. McDermottStephen YoungMichael R. GodleyYizhou LiLangdong ChenYiran HuangYi Man Eva FungXiaomeng Li
- Topics
- Migration and Labor Dynamics (3 papers)Migration, Ethnicity, and Economy (3 papers)Higher Education Governance and Development (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Cen Huang
18 papers receiving 292 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 102
- Strategy and Management 98
- Sociology and Political Science 60
- Accounting 57
- Organic Chemistry 44
Countries citing papers authored by Cen Huang
This map shows the geographic impact of Cen Huang'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 Cen Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cen Huang more than expected).
Fields of papers citing papers by Cen Huang
This network shows the impact of papers produced by Cen Huang. 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 Cen Huang. The network helps show where Cen Huang may publish in the future.
Co-authorship network of co-authors of Cen Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Cen Huang. A scholar is included among the top collaborators of Cen Huang 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 Cen Huang. Cen Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 106 | |
| 9 | 5 | |
| 10 | 11 | |
| 11 | 13 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | Rethinking Chinese Transnational Enterprises: Cultural Affinity and Business Strategies | 10 |
| 15 | 24 | |
| 16 | New studies on Chinese overseas and China | 10 |
| 17 | Qiaoxiang Ties, Multidisciplinary Approaches to `Cultural Capitalism' in South China | 23 |
| 18 | 3 | |
| 19 | The Organization and Management of Chinese Transnational Enterprises in South China | 3 |
| 20 | Internationalization and competitive catch-up processes: case study evidence on Chinese multinational enterprises | 97 |
About Cen Huang
Cen Huang is a scholar working on General Economics, Econometrics and Finance, Gastroenterology and Hematology, having authored 20 papers that have together received 322 indexed citations. Recurring topics across this work include Migration and Labor Dynamics (3 papers), Migration, Ethnicity, and Economy (3 papers) and Higher Education Governance and Development (3 papers). The work is most often cited by research in Strategy and Management (98 citations), General Economics, Econometrics and Finance (42 citations) and Accounting (57 citations). Cen Huang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Michael C. McDermott, Stephen Young, Michael R. Godley, Yizhou Li, Langdong Chen, Yiran Huang, Yi Man Eva Fung, Xiaomeng Li, Yu Zhou and Ling Meng. Their work appears in journals such as Cancer Research, Nature Chemistry and Annals of Oncology.
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.