Cheng-Wei Lin

492 citations
33 papers · 366 indexed · h-index 11
Topics
Diabetic Foot Ulcer Assessment and Management (10 papers)Wound Healing and Treatments (9 papers)Pressure Ulcer Prevention and Management (4 papers)
Partner nations
TaiwanUnited States

In The Last Decade

Cheng-Wei Lin

33 papers receiving 355 citations

Peers

Cheng-Wei Lin
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 177
  • Rehabilitation 115
  • Surgery 85
  • Occupational Therapy 62
  • Epidemiology 41
Replace Raviraja V Acharya with:
Raviraja V Acharya India
Behrouz Rostami United States
DM Anisuzzaman United States
Lucienne Pellegrini Italy
Furqan Haq United States
Jeff G. van Baal Netherlands
Jason Corban Canada
Daniel Lorenz United States
Christos Liaskos Greece
Mohammad Yasin Karami Iran
Cheng-Wei Lin relative to Raviraja V Acharya India Raviraja V Acharya's profile →
Citations per field
00.5×3.9×
Raviraja V Acharya · 1×
Citations per year

Countries citing papers authored by Cheng-Wei Lin

Since Specialization
Citations

This map shows the geographic impact of Cheng-Wei 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-Wei 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-Wei Lin more than expected).

Fields of papers citing papers by Cheng-Wei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng-Wei Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng-Wei Lin. A scholar is included among the top collaborators of Cheng-Wei 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 Cheng-Wei Lin. Cheng-Wei Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 8
3 1
4 15
5 7
6 1
7 12
8 7
9 7
10 63
11 17
12 10
13 4
14 27
15 10
16 47
17
Cluster based solution exploration strategy for multiobjective particle swarm optimization
2
18 24
19
Particle Swarm Optimization Incorporated with Dis-turbance for Improving the Efficiency of Macrocell Overlap Removal and Placement.
2
20 6

About Cheng-Wei Lin

Cheng-Wei Lin is a scholar working on Rehabilitation, Occupational Therapy and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 366 indexed citations. Recurring topics across this work include Diabetic Foot Ulcer Assessment and Management (10 papers), Wound Healing and Treatments (9 papers) and Pressure Ulcer Prevention and Management (4 papers). The work is most often cited by research in Rehabilitation (115 citations), Occupational Therapy (62 citations) and Endocrinology, Diabetes and Metabolism (177 citations). Cheng-Wei Lin has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Yu‐Yao Huang, Shih‐Yuan Hung, Chung‐Huei Huang, Chia-Hung Lin, Tsung-Ying Sun, Sheng-Ta Hsieh, I‐Wen Chen, David G. Armstrong, Brend Ray‐Sea Hsu and Pi‐Hua Liu. Their work appears in journals such as Medicine, Canadian Medical Association Journal and Frontiers in Endocrinology.

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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