Chien-Ching Lin

441 citations
29 papers · 330 · h-index 12

Impact in

Papers in

Chien-Ching Lin

29 papers receiving 307 citations

Peers

Chien-Ching Lin
Comparison fields: 5 of 50
  • Computer Networks and Communications 235
  • Electrical and Electronic Engineering 254
  • Artificial Intelligence 93
  • Hardware and Architecture 19
  • Computational Theory and Mathematics 18
Replace G.B. Horn with:
G.B. Horn United States
K. Wendy Tang United States
Kundan Singh United States
Saied Hemati Canada
Nuwan S. Ferdinand Finland
Christian Benkeser Switzerland
Alexey Frolov Russia
Stephan Tinguely Switzerland
Sébastien Le Beux France
Dimitrios Kritharidis Greece
Chien-Ching Lin relative to G.B. Horn United States G.B. Horn's profile →
Citations per field
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G.B. Horn · 1×
Citations per year

Countries citing papers authored by Chien-Ching Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chien-Ching Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien-Ching 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 Chien-Ching Lin. The network helps show where Chien-Ching Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200550
2 200528
3 200927
4 200523
5 201021
6 200321
7 200617
8 200815
9 202213
10 200612
11 200611
12 200411
13 201610
14
A long block length bch decoder for DVB-S2 application
20098
15 20078
16 20058
17 20047
18 20186
19 20075
20 20055

About Chien-Ching Lin

Chien-Ching Lin is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Information Systems and Molecular Biology, having authored 29 papers that have together received 330 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (18 papers), Error Correcting Code Techniques (15 papers), Coding theory and cryptography (9 papers), Cooperative Communication and Network Coding (8 papers), Cryptographic Implementations and Security (5 papers), Wireless Communication Networks Research (4 papers), Cryptography and Residue Arithmetic (3 papers) and Optical Network Technologies (2 papers). The work is most often cited by research in Computer Networks and Communications (235 citations), Electrical and Electronic Engineering (254 citations), Artificial Intelligence (93 citations), Hardware and Architecture (19 citations) and Computational Theory and Mathematics (18 citations). Chien-Ching Lin has collaborated with scholars based in Taiwan, Malaysia and Iran. Frequent co-authors include Chen‐Yi Lee, Hsie-Chia Chang, Chen‐Yi Lee, Kaili Lin, Chih-Hao Liu, Yarsun Hsu, Chih-Lung Chen, Shyh‐Jye Jou, Ching-Che Chung and Chih‐Wei Liu. Their work appears in journals such as Scientific Reports, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Circuits and Systems I Regular Papers, Thin Solid Films 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.

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