Yain‐Whar Si
- Artificial Intelligence top 5%
- Management Science and Operations Research top 2%
- Signal Processing top 5%
- Information Systems top 5%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Defu ZhangSimon FongRobert P. Biuk‐AghaiRaymond Y.K. LauChunping LiStephen C.H. LeungXiongfei ZhaoFurong Ye
- Topics
- Time Series Analysis and Forecasting (21 papers)Stock Market Forecasting Methods (20 papers)Complex Systems and Time Series Analysis (14 papers)
- Cited by
- Management Science and Operations ResearchSignal ProcessingIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaEuropean Journal of Operational ResearchExpert Systems with Applications
In The Last Decade
Yain‐Whar Si
99 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 130
- Artificial Intelligence 365
- Management Science and Operations Research 294
- Signal Processing 187
- Information Systems 164
- Industrial and Manufacturing Engineering 155
Countries citing papers authored by Yain‐Whar Si
This map shows the geographic impact of Yain‐Whar Si'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 Yain‐Whar Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yain‐Whar Si more than expected).
Fields of papers citing papers by Yain‐Whar Si
This network shows the impact of papers produced by Yain‐Whar Si. 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 Yain‐Whar Si. The network helps show where Yain‐Whar Si may publish in the future.
Co-authorship network of co-authors of Yain‐Whar Si
This figure shows the co-authorship network connecting the top 25 collaborators of Yain‐Whar Si. A scholar is included among the top collaborators of Yain‐Whar Si 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 Yain‐Whar Si. Yain‐Whar Si 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 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 48 | |
| 11 | 20 | |
| 12 | 13 | |
| 13 | 17 | |
| 14 | 33 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | Data Warehouse Model for Audit Trail Analysis in Workflows | 8 |
| 18 | 1 | |
| 19 | 2 | |
| 20 | Neural network supported adaptation in case-based reasoning | 1 |
About Yain‐Whar Si
Yain‐Whar Si is a scholar working on Management Science and Operations Research, Management Information Systems and Signal Processing, having authored 108 papers that have together received 1.2k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (21 papers), Stock Market Forecasting Methods (20 papers) and Complex Systems and Time Series Analysis (14 papers). The work is most often cited by research in Management Science and Operations Research (294 citations), Signal Processing (187 citations) and Industrial and Manufacturing Engineering (155 citations). Yain‐Whar Si has collaborated with scholars based in Macao, China and Hong Kong. Frequent co-authors include Defu Zhang, Simon Fong, Robert P. Biuk‐Aghai, Raymond Y.K. Lau, Chunping Li, Stephen C.H. Leung, Xiongfei Zhao, Furong Ye, Shirley W. I. Siu and Xiangxiang Zeng. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems 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.