Na Yin
- Industrial and Manufacturing Engineering top 1%
- Computer Networks and Communications top 5%
- Management Information Systems
- Artificial Intelligence
- Management Science and Operations Research
- Topics
- Scheduling and Optimization Algorithms (22 papers)Advanced Manufacturing and Logistics Optimization (18 papers)Assembly Line Balancing Optimization (13 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputer Networks and CommunicationsManagement Information Systems
- Journals
- Information SciencesThe International Journal of Advanced Manufacturing TechnologyComputers & Mathematics with Applications
- Partner nations
- ChinaHong KongUnited Arab Emirates
In The Last Decade
Na Yin
22 papers receiving 399 citations
Peers
Comparison fields: 5 of 16
- Industrial and Manufacturing Engineering 403
- Computer Networks and Communications 238
- Management Information Systems 23
- Artificial Intelligence 20
- Management Science and Operations Research 11
Countries citing papers authored by Na Yin
This map shows the geographic impact of Na Yin'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 Na Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Yin more than expected).
Fields of papers citing papers by Na Yin
This network shows the impact of papers produced by Na Yin. 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 Na Yin. The network helps show where Na Yin may publish in the future.
Co-authorship network of co-authors of Na Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Na Yin. A scholar is included among the top collaborators of Na Yin 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 Na Yin. Na Yin 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 | 5 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 20 | |
| 7 | 18 | |
| 8 | 13 | |
| 9 | 30 | |
| 10 | 10 | |
| 11 | 23 | |
| 12 | 13 | |
| 13 | 13 | |
| 14 | 10 | |
| 15 | 12 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 64 | |
| 19 | 24 | |
| 20 | 71 |
About Na Yin
Na Yin is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Radiological and Ultrasound Technology, having authored 25 papers that have together received 409 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (22 papers), Advanced Manufacturing and Logistics Optimization (18 papers) and Assembly Line Balancing Optimization (13 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (403 citations), Computer Networks and Communications (238 citations) and Management Information Systems (23 citations). Na Yin has collaborated with scholars based in China, Hong Kong and United Arab Emirates. Frequent co-authors include Ji‐Bo Wang, Xue Huang, Li-Yan Wang, Liying Kang, Dan Wang, Xiaoyuan Wang, Liyan Wang, Xiaoyuan Wang, Weiwei Wang and Lin Lin. Their work appears in journals such as Information Sciences, The International Journal of Advanced Manufacturing Technology and Computers & Mathematics with Applications.
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.