Jyh‐Charn Liu
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Co-authors
- Gouchol PokAmrish NairWei ZhaoHung-Ju LeeTak‐Wah LamMing ZhangGuofei GuLaurence R. Rilett
- Topics
- Mathematics, Computing, and Information Processing (9 papers)Natural Language Processing Techniques (8 papers)Interconnection Networks and Systems (8 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image ProcessingComputer
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Jyh‐Charn Liu
52 papers receiving 678 citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 338
- Computer Networks and Communications 191
- Hardware and Architecture 143
- Artificial Intelligence 135
- Signal Processing 128
Countries citing papers authored by Jyh‐Charn Liu
This map shows the geographic impact of Jyh‐Charn Liu'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 Jyh‐Charn Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jyh‐Charn Liu more than expected).
Fields of papers citing papers by Jyh‐Charn Liu
This network shows the impact of papers produced by Jyh‐Charn Liu. 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 Jyh‐Charn Liu. The network helps show where Jyh‐Charn Liu may publish in the future.
Co-authorship network of co-authors of Jyh‐Charn Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Jyh‐Charn Liu. A scholar is included among the top collaborators of Jyh‐Charn Liu 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 Jyh‐Charn Liu. Jyh‐Charn Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | PDF2LaTeX A Deep Learning System to Convert Mathematical Documents from PDF to LaTeX | 1 |
| 2 | 2 | |
| 3 | Order of Pseudoranges (OOP) of GNSS: Spatial Modeling and Analysis | 1 |
| 4 | 51 | |
| 5 | Blood vessel detection in retinal images and its application in diabetic retinopathy screening | 5 |
| 6 | 44 | |
| 7 | 41 | |
| 8 | 42 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | A Ratio-Based Control Algorithm for Defense of DDoS Attacks | 1 |
| 12 | 6 | |
| 13 | 7 | |
| 14 | 196 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 24 | |
| 19 | 4 | |
| 20 | Polynomial testing of packet switching networks | 0 |
About Jyh‐Charn Liu
Jyh‐Charn Liu is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 56 papers that have together received 745 indexed citations. Recurring topics across this work include Mathematics, Computing, and Information Processing (9 papers), Natural Language Processing Techniques (8 papers) and Interconnection Networks and Systems (8 papers). The work is most often cited by research in Hardware and Architecture (143 citations), Computer Vision and Pattern Recognition (338 citations) and Media Technology (126 citations). Jyh‐Charn Liu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Gouchol Pok, Amrish Nair, Wei Zhao, Hung-Ju Lee, Tak‐Wah Lam, Ming Zhang, Guofei Gu, Ming Zhang, Laurence R. Rilett and Pu Duan. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Computer.
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.