Liping Chang
- Artificial Intelligence top 5%
- Computational Mechanics top 5%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Lung‐Hao LeeHuang BaiKeh-Jiann ChenChu‐Ren HuangZhihui ZhuGang LiDehui YangYuen‐Hsien Tseng
- Topics
- Sparse and Compressive Sensing Techniques (12 papers)Blind Source Separation Techniques (9 papers)Random lasers and scattering media (8 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Liping Chang
55 papers receiving 770 citations
Peers
Comparison fields: 5 of 104
- Artificial Intelligence 280
- Computational Mechanics 202
- Biomedical Engineering 157
- Electrical and Electronic Engineering 116
- Computer Vision and Pattern Recognition 113
Countries citing papers authored by Liping Chang
This map shows the geographic impact of Liping Chang'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 Liping Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liping Chang more than expected).
Fields of papers citing papers by Liping Chang
This network shows the impact of papers produced by Liping Chang. 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 Liping Chang. The network helps show where Liping Chang may publish in the future.
Co-authorship network of co-authors of Liping Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Liping Chang. A scholar is included among the top collaborators of Liping Chang 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 Liping Chang. Liping Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | Overview of NLP-TEA 2016 Shared Task for Chinese Grammatical Error Diagnosis | 17 |
| 8 | 3 | |
| 9 | 29 | |
| 10 | 49 | |
| 11 | 2 | |
| 12 | 11 | |
| 13 | A Sentence Judgment System for Grammatical Error Detection | 25 |
| 14 | All-pass based efficient and robust structures for finite precision implementation of digital filters | 0 |
| 15 | Projection matrix optimization based on SVD for compressive sensing systems | 3 |
| 16 | Fossilization in Interlanguage and Its Inspirations to Foreign Language Teaching | 1 |
| 17 | 51 | |
| 18 | 25 | |
| 19 | SINICA CORPUS: Design Methodology for Balanced Corpora | 127 |
| 20 | The Identification Of Thematic Roles In Parsing Mandarin Chinese | 3 |
About Liping Chang
Liping Chang is a scholar working on Acoustics and Ultrasonics, Signal Processing and Computational Mechanics, having authored 58 papers that have together received 851 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (12 papers), Blind Source Separation Techniques (9 papers) and Random lasers and scattering media (8 papers). The work is most often cited by research in Acoustics and Ultrasonics (50 citations), Signal Processing (107 citations) and Computational Mechanics (202 citations). Liping Chang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Lung‐Hao Lee, Huang Bai, Keh-Jiann Chen, Chu‐Ren Huang, Zhihui Zhu, Gang Li, Dehui Yang, Yuen‐Hsien Tseng, Hsin‐Hsi Chen and Liang Yu. Their work appears in journals such as IEEE Transactions on Signal Processing, Optics Letters and Optics Express.
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.