Chi‐Hung Lin
- Cell Biology top 2%
- Electrical and Electronic Engineering top 10%
- Molecular Biology
- Biomedical Engineering top 10%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Paul ForscherKlaas BultMark S. MoosekerEnilza Maria EspreáficoMohammed IsmailDer-Cherng TarngLiuqing YangGuang‐Yuh Chiou
- Topics
- Analog and Mixed-Signal Circuit Design (10 papers)Advancements in PLL and VCO Technologies (6 papers)Radio Frequency Integrated Circuit Design (5 papers)
- Journals
- Nature CommunicationsNeuronPLoS ONE
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chi‐Hung Lin
56 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 128
- Cell Biology 545
- Electrical and Electronic Engineering 482
- Molecular Biology 461
- Biomedical Engineering 447
- Cellular and Molecular Neuroscience 297
Countries citing papers authored by Chi‐Hung Lin
This map shows the geographic impact of Chi‐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 Chi‐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 Chi‐Hung Lin more than expected).
Fields of papers citing papers by Chi‐Hung Lin
This network shows the impact of papers produced by Chi‐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 Chi‐Hung Lin. The network helps show where Chi‐Hung Lin may publish in the future.
Co-authorship network of co-authors of Chi‐Hung Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Chi‐Hung Lin. A scholar is included among the top collaborators of Chi‐Hung Lin 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 Chi‐Hung Lin. Chi‐Hung Lin 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 | 7 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 20 | |
| 10 | Comparison Between Acupuncture and Biofeedback as Adjunctive Treatments for Primary Insomnia Disorder. | 1 |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 6 | |
| 14 | 6 | |
| 15 | 35 | |
| 16 | 28 | |
| 17 | 5 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 345 |
About Chi‐Hung Lin
Chi‐Hung Lin is a scholar working on Aging, Hardware and Architecture and Geriatrics and Gerontology, having authored 57 papers that have together received 1.6k indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (10 papers), Advancements in PLL and VCO Technologies (6 papers) and Radio Frequency Integrated Circuit Design (5 papers). The work is most often cited by research in Cell Biology (545 citations), Cellular and Molecular Neuroscience (297 citations) and Developmental Neuroscience (61 citations). Chi‐Hung Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Paul Forscher, Klaas Bult, Mark S. Mooseker, Enilza Maria Espreáfico, Mohammed Ismail, Der-Cherng Tarng, Liuqing Yang, Guang‐Yuh Chiou, Pei‐Jer Chen and Chih‐Hung Shu. Their work appears in journals such as Nature Communications, Neuron and PLoS ONE.
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.