Cheng‐Han Lin

1.1k citations
48 papers · 792 · h-index 18

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Video Coding and Compression Technologies

Papers in

Cheng‐Han Lin

46 papers receiving 765 citations

Peers

Cheng‐Han Lin
Comparison fields: 5 of 104
  • Cancer Research 117
  • Signal Processing 97
  • Computer Networks and Communications 178
  • Aging 8
  • Computer Vision and Pattern Recognition 100
Replace Richard Rivera with:
Richard Rivera Ecuador
Chenzi Zhang China
Chun-Hsi Huang United States
Liying Tang China
Mikel Hernáez United States
Weixing Feng China
Qianzhen Zhang China
Joseph Huang United States
Kenji Satou Japan
Cheng‐Han Lin relative to Richard Rivera Ecuador Richard Rivera's profile →
Citations per field
00.5×6.3×
Richard Rivera · 1×
Citations per year

Countries citing papers authored by Cheng‐Han Lin

Since Specialization
Citations

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

Fields of papers citing papers by Cheng‐Han Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cheng‐Han 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 Cheng‐Han Lin Line = papers co-authored together Cheng‐Han Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201868
2 200954
3 200652
4 201352
5 201548
6 200642
7 201836
8 201529
9 202129
10 201628
11 200626
12 200723
13 200623
14 201522
15 201918
16 201118
17 201218
18 202217
19 202117
20 202216

About Cheng‐Han Lin

Cheng‐Han Lin is a scholar working on Molecular Biology, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Cancer Research, having authored 48 papers that have together received 792 indexed citations. Recurring topics across this work include Wireless Networks and Protocols (10 papers), Advanced Wireless Network Optimization (10 papers), Mobile Ad Hoc Networks (8 papers), Cooperative Communication and Network Coding (8 papers), Image and Video Quality Assessment (5 papers), Video Coding and Compression Technologies (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Cancer Research (117 citations), Signal Processing (97 citations), Computer Networks and Communications (178 citations), Aging (8 citations) and Computer Vision and Pattern Recognition (100 citations). Cheng‐Han Lin has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Ce-Kuen Shieh, Chih‐Heng Ke, Pei‐Jung Lu, Wen-Shyang Hwang, Hao‐Yi Li, Michael Hsiao, Anna C.-C. Jang, Denise J. Montell, Yun-Chin Yao and Hui-Chuan Cheng. Their work appears in journals such as Oncogene, Wireless Communications and Mobile Computing, BMC Geriatrics, The journal of nutrition health & aging and Cell Death and Disease.

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.

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