Ting Xiao
- Strategy and Management top 5%
- Management of Technology and Innovation top 5%
- Molecular Biology
- Economics and Econometrics
- Management Science and Operations Research top 10%
- Topics
- Digital Marketing and Social Media (4 papers)Innovation Diffusion and Forecasting (3 papers)Technology Adoption and User Behaviour (3 papers)
- Cited by
- Business and International ManagementManagement of Technology and InnovationStrategy and Management
- Partner nations
- ChinaUnited StatesMexico
In The Last Decade
Ting Xiao
14 papers receiving 380 citations
Peers
Comparison fields: 5 of 97
- Strategy and Management 170
- Management of Technology and Innovation 81
- Molecular Biology 75
- Economics and Econometrics 61
- Management Science and Operations Research 39
Countries citing papers authored by Ting Xiao
This map shows the geographic impact of Ting Xiao'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 Ting Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Xiao more than expected).
Fields of papers citing papers by Ting Xiao
This network shows the impact of papers produced by Ting Xiao. 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 Ting Xiao. The network helps show where Ting Xiao may publish in the future.
Co-authorship network of co-authors of Ting Xiao
This figure shows the co-authorship network connecting the top 25 collaborators of Ting Xiao. A scholar is included among the top collaborators of Ting Xiao 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 Ting Xiao. Ting Xiao 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 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 103 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | Inverted "U" type influencing mechanism of user involvement on loyalty in tourism virtual community. | 2 |
| 12 | 94 | |
| 13 | 44 | |
| 14 | 14 | |
| 15 | 11 | |
| 16 | An Empirical Study on Relation between TMT Heterogeneity and Business Model Innovation Performance: Evidence from Listed Service Firms | 1 |
| 17 | 88 | |
| 18 | 12 |
About Ting Xiao
Ting Xiao is a scholar working on Business and International Management, Information Systems and Management and Management of Technology and Innovation, having authored 18 papers that have together received 388 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (4 papers), Innovation Diffusion and Forecasting (3 papers) and Technology Adoption and User Behaviour (3 papers). The work is most often cited by research in Business and International Management (23 citations), Management of Technology and Innovation (81 citations) and Strategy and Management (170 citations). Ting Xiao has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Mona Makhija, Samina Karim, KeWei Wang, Qi Sun, Hao Shen, Zhongfeng Su, Jun Xia, Han Jiang, Albert A. Cannella and Ding Chen. Their work appears in journals such as PLoS ONE, Strategic Management Journal and Journal of 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.