Chih‐Hung Lin

124 papers receiving 2.0k citations

Peers

Chih‐Hung Lin
Comparison fields: 5 of 131
  • Otorhinolaryngology 414
  • Transplantation 50
  • Cell Biology 227
  • Computer Vision and Pattern Recognition 246
  • Oncology 267
Replace Kimerly Powell with:
Kimerly Powell United States
Qiang Huang China
Miguel F. Diaz United States
Stella Lee United States
Bin Gu China
Karsten Schlüns Germany
Wessel N. van Wieringen Netherlands
Bian Wu China
Rupert Ecker Austria
Chih‐Hung Lin relative to Kimerly Powell United States Kimerly Powell's profile →
Citations per field
00.5×10×12.5×
Kimerly Powell · 1×
Citations per year

Countries citing papers authored by Chih‐Hung Lin

Since Specialization
Citations

This map shows the geographic impact of Chih‐Hung Lin'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 Chih‐Hung Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih‐Hung Lin more than expected).

Fields of papers citing papers by Chih‐Hung Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih‐Hung Lin. 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 Chih‐Hung Lin. The network helps show where Chih‐Hung Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Chih‐Hung Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chih‐Hung Lin Line = papers co-authored together Chih‐Hung Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993235
2 1986100
3 200787
4 200872
5 201466
6 200866
7 201057
8 201152
9 200852
10 201646
11 201044
12 201541
13 200841
14 199836
15 201335
16 201632
17 201432
18 201229
19 201228
20 201528

About Chih‐Hung Lin

Chih‐Hung Lin is a scholar working on Computer Vision and Pattern Recognition, Surgery, Otorhinolaryngology, Oncology and Molecular Biology, having authored 130 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (26 papers), Chaos-based Image/Signal Encryption (22 papers), Digital Media Forensic Detection (21 papers), Head and Neck Cancer Studies (12 papers), Reconstructive Surgery and Microvascular Techniques (9 papers), Plant Pathogenic Bacteria Studies (7 papers), Plant-Microbe Interactions and Immunity (6 papers) and Bone fractures and treatments (5 papers). The work is most often cited by research in Otorhinolaryngology (414 citations), Transplantation (50 citations), Cell Biology (227 citations), Computer Vision and Pattern Recognition (246 citations) and Oncology (267 citations). Chih‐Hung Lin has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include Paul Forscher, Hung‐Ming Wang, Shu‐Hang Ng, Li‐Yu Lee, Chun‐Ta Liao, Chuen Hsueh, Shiang‐Fu Huang, Tzu‐Chen Yen, Tzung‐Her Chen and Ann‐Joy Cheng. Their work appears in journals such as Plastic & Reconstructive Surgery, Oral Oncology, Journal of Visual Communication and Image Representation, International Journal of Radiation Oncology*Biology*Physics and Applied immunohistochemistry & molecular morphology.

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.

Explore authors with similar magnitude of impact