Feng‐Cheng Lin

598 citations
30 papers · 396 · h-index 12

Impact in

Papers in

Feng‐Cheng Lin

27 papers receiving 382 citations

Peers

Feng‐Cheng Lin
Comparison fields: 5 of 95
  • Industrial and Manufacturing Engineering 100
  • Computer Vision and Pattern Recognition 62
  • Human-Computer Interaction 16
  • Computer Networks and Communications 59
  • Neurology 34
Replace Sebastian Bader with:
Sebastian Bader Germany
Serdar Kadıoğlu United States
Shiva Shankar Reddy India
Rémi Bastide France
Dhananjay Thiruvady Australia
Mike Jackson United Kingdom
Mehr Yahya Durrani Pakistan
Umberto Scafuri Italy
Dũng H. Phan United States
Feng‐Cheng Lin relative to Sebastian Bader Germany Sebastian Bader's profile →
Citations per field
00.5×7.8×
Sebastian Bader · 1×
Citations per year

Countries citing papers authored by Feng‐Cheng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Feng‐Cheng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201572
2 202166
3 200629
4 201625
5 202023
6 201122
7 200919
8 200818
9 201317
10 201315
11
A Multiple-Searching Approach to Genetic Algorithms for Solving Traveling Salesman Problem.
200212
12 202412
13 200410
14 201110
15 20127
16 20216
17 20206
18 20085
19 20095
20 20134

About Feng‐Cheng Lin

Feng‐Cheng Lin is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Information Systems and Artificial Intelligence, having authored 30 papers that have together received 396 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (7 papers), Cloud Computing and Resource Management (4 papers), Optimization and Search Problems (3 papers), Advanced Manufacturing and Logistics Optimization (3 papers), Video Surveillance and Tracking Methods (3 papers), Caching and Content Delivery (3 papers), Multimedia Communication and Technology (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (100 citations), Computer Vision and Pattern Recognition (62 citations), Human-Computer Interaction (16 citations), Computer Networks and Communications (59 citations) and Neurology (34 citations). Feng‐Cheng Lin has collaborated with scholars based in Taiwan, Vietnam and Russia. Frequent co-authors include Bertrand M.T. Lin, Ching‐Kuan Liu, Chyi‐Ren Dow, Ming‐Tsang Wu, Hui‐Min Hsieh, Yun‐Shiuan Chuang, Cheng-Fa Tsai, Chih-Hao Hsu, Mengru Tu and Cheng‐Kuan Lin. Their work appears in journals such as Atmosphere, Applied Sciences, Enterprise Information Systems, Medicine and IEEE Access.

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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