Che Lin

1.4k citations
71 papers · 946 indexed · h-index 16

Impact in

Papers in

Che Lin

62 papers receiving 934 citations

Peers

Che Lin
Comparison fields: 5 of 125
  • Computer Networks and Communications 239
  • Electrical and Electronic Engineering 310
  • Health Informatics 7
  • Cancer Research 75
  • Artificial Intelligence 133
Replace Xin Qi with:
Xin Qi Japan
Xinyu Liu China
Ashima Singh India
Hasan Abbas United Kingdom
José Antonio Gómez‐Ruiz Spain
Sajjad Nematzadeh Türkiye
Eusebi Calle Spain
Shankar Vembu United States
Michael Mayo New Zealand
Peng Yi China
Che Lin relative to Xin Qi Japan Xin Qi's profile →
Citations per field
00.5×3.8×
Xin Qi · 1×
Citations per year

Countries citing papers authored by Che Lin

Since Specialization
Citations

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

Fields of papers citing papers by Che Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020119
2 2020106
3 2012100
4 202181
5 202146
6 202135
7 201529
8 201427
9 201324
10 201924
11 202121
12 202120
13 201420
14 201020
15 201818
16 201715
17 201414
18 202113
19 201413
20 201512

About Che Lin

Che Lin is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Health Information Management and Biological Psychiatry, having authored 71 papers that have together received 946 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (15 papers), Advanced MIMO Systems Optimization (15 papers), AI in cancer detection (6 papers), Energy Harvesting in Wireless Networks (6 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Distributed Control Multi-Agent Systems (5 papers) and Gene Regulatory Network Analysis (5 papers). The work is most often cited by research in Computer Networks and Communications (239 citations), Electrical and Electronic Engineering (310 citations), Health Informatics (7 citations), Cancer Research (75 citations) and Artificial Intelligence (133 citations). Che Lin has collaborated with scholars based in Taiwan, China and Australia. Frequent co-authors include Te-Cheng Hsu, Tsung‐Hui Chang, Chong‐Yung Chi, Tsung-Che Chiang, Tony Q. S. Quek, Yu Tsao, Yu‐Heng Lai, Weining Chen, Bor‐Sen Chen and Thinh Quang Dinh. Their work appears in journals such as IEEE Transactions on Signal Processing, BMC Systems Biology, IEEE Transactions on Wireless Communications, Scientific Reports and ACS Synthetic Biology.

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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