Ling Yang
- Artificial Intelligence top 10%
- Analytical Chemistry top 5%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 5%
- Water Science and Technology top 10%
- Co-authors
- Yingyi ChenYeqi LiuChuanyang GongShey‐Huei SheuTing WuZhi LiPan ZhangHuihui Yu
- Topics
- Machine Learning and ELM (10 papers)Advanced Statistical Process Monitoring (8 papers)Spectroscopy and Chemometric Analyses (8 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Ling Yang
46 papers receiving 786 citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Artificial Intelligence 129
- Analytical Chemistry 104
- Computer Vision and Pattern Recognition 100
- Management Science and Operations Research 98
- Water Science and Technology 98
Countries citing papers authored by Ling Yang
This map shows the geographic impact of Ling Yang'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 Ling Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Yang more than expected).
Fields of papers citing papers by Ling Yang
This network shows the impact of papers produced by Ling Yang. 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 Ling Yang. The network helps show where Ling Yang may publish in the future.
Co-authorship network of co-authors of Ling Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Ling Yang. A scholar is included among the top collaborators of Ling Yang 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 Ling Yang. Ling Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 19 | |
| 8 | 1 | |
| 9 | DSTP-RNN: A dual-stage two-phase attention-based recurrent neural network for long-term and multivariate time series predictionbreakdown → | 271 |
| 10 | 18 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | 6 | |
| 16 | 6 | |
| 17 | A Novel CUSUM Median Control Chart | 11 |
| 18 | 2 | |
| 19 | 6 | |
| 20 | 0 |
About Ling Yang
Ling Yang is a scholar working on Medical Laboratory Technology, Statistics, Probability and Uncertainty and Analytical Chemistry, having authored 50 papers that have together received 818 indexed citations. Recurring topics across this work include Machine Learning and ELM (10 papers), Advanced Statistical Process Monitoring (8 papers) and Spectroscopy and Chemometric Analyses (8 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (96 citations), Analytical Chemistry (104 citations) and Signal Processing (94 citations). Ling Yang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Yingyi Chen, Yeqi Liu, Chuanyang Gong, Shey‐Huei Sheu, Ting Wu, Zhi Li, Pan Zhang, Huihui Yu, Daoliang Li and Wei‐Hung Lin. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and Aquaculture.
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.