Kaicheng Yu
- Organizational Behavior and Human Resource Management top 1%
- Social Psychology top 2%
- Strategy and Management top 2%
- Communication top 1%
- Sociology and Political Science top 5%
- Co-authors
- David A. RalstonRobert H. TerpstraDavid H. HoltManuel MendonçaRabindra N. KanungoJürgen DellerZeynep AycanSally Stewart
- Topics
- Cultural Differences and Values (4 papers)Advanced Neural Network Applications (3 papers)International Student and Expatriate Challenges (3 papers)
- Journals
- Journal of International Business StudiesApplied Psychology2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kaicheng Yu
9 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Organizational Behavior and Human Resource Management 836
- Social Psychology 555
- Strategy and Management 428
- Communication 408
- Sociology and Political Science 355
Countries citing papers authored by Kaicheng Yu
This map shows the geographic impact of Kaicheng Yu'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 Kaicheng Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaicheng Yu more than expected).
Fields of papers citing papers by Kaicheng Yu
This network shows the impact of papers produced by Kaicheng Yu. 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 Kaicheng Yu. The network helps show where Kaicheng Yu may publish in the future.
Co-authorship network of co-authors of Kaicheng Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Kaicheng Yu. A scholar is included among the top collaborators of Kaicheng Yu 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 Kaicheng Yu. Kaicheng Yu 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 | 2 | |
| 3 | 39 | |
| 4 | 47 | |
| 5 | 3 | |
| 6 | 81 | |
| 7 | 151 | |
| 8 | Impact of Culture on Human Resource Management Practices: A 10‐Country Comparisonbreakdown → | 555 |
| 9 | 284 | |
| 10 | The Impact of Natural Culture and Economic Ideology on Managerial Work Values: A Study of the United States, Russia, Japan, and Chinabreakdown → | 675 |
About Kaicheng Yu
Kaicheng Yu is a scholar working on Communication, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cultural Differences and Values (4 papers), Advanced Neural Network Applications (3 papers) and International Student and Expatriate Challenges (3 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (836 citations), Communication (408 citations) and Strategy and Management (428 citations). Kaicheng Yu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include David A. Ralston, Robert H. Terpstra, David H. Holt, Manuel Mendonça, Rabindra N. Kanungo, Jürgen Deller, Zeynep Aycan, Sally Stewart, Carolyn P. Egri and Xiaodan Liang. Their work appears in journals such as Journal of International Business Studies, Applied Psychology and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.