Lingling Wang
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Management Science and Operations Research top 5%
- Topics
- IoT and Edge/Fog Computing (6 papers)Image and Signal Denoising Methods (6 papers)Advanced Image Fusion Techniques (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionScientific Reports
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Lingling Wang
88 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 151
- Computer Vision and Pattern Recognition 219
- Artificial Intelligence 169
- Information Systems 110
- Computer Networks and Communications 108
- Management Science and Operations Research 106
Countries citing papers authored by Lingling Wang
This map shows the geographic impact of Lingling Wang'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 Lingling Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingling Wang more than expected).
Fields of papers citing papers by Lingling Wang
This network shows the impact of papers produced by Lingling Wang. 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 Lingling Wang. The network helps show where Lingling Wang may publish in the future.
Co-authorship network of co-authors of Lingling Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Lingling Wang. A scholar is included among the top collaborators of Lingling Wang 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 Lingling Wang. Lingling Wang 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 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 7 | |
| 12 | 10 | |
| 13 | 3 | |
| 14 | 17 | |
| 15 | 2 | |
| 16 | Chinese-Tibetan Bilingual Sentence Alignment Algorithm | 1 |
| 17 | Improved two-tuple linguistic representation model based on new linguistic evaluation scale | 85 |
| 18 | Examining Participation Behavior in Defined Contribution Plans Using the Transtheoretical Model of Behavior Change | 10 |
| 19 | Critical thinking and its cultivation | 1 |
| 20 | Study on the change of the aging components of Liaohe AH-90~# asphalt | 1 |
About Lingling Wang
Lingling Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Science Applications, having authored 102 papers that have together received 1.1k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (6 papers), Image and Signal Denoising Methods (6 papers) and Advanced Image Fusion Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (219 citations), Signal Processing (103 citations) and Management Science and Operations Research (106 citations). Lingling Wang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Qian Shi, Shuqin Chen, Hongwei Tan, Ching‐Ta Lu, Shi-Nine Yang, Yang Li, Wen‐Hsiang Tsai, Yingying Shi, Peiwu Dong and Xiao‐Yuan Jing. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.
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.