Ta‐Chin Wei

2.1k citations
50 papers · 1.8k indexed · h-index 23

Impact in

Papers in

Ta‐Chin Wei

50 papers receiving 1.8k citations

Peers

Ta‐Chin Wei
Comparison fields: 5 of 98
  • Surfaces, Coatings and Films 871
  • Water Science and Technology 606
  • Biomaterials 400
  • Molecular Medicine 86
  • Biomedical Engineering 713
Replace Yuki Terayama with:
Yuki Terayama Japan
Ding Weng China
Leanne Britcher Australia
Bo Jiang China
Farzaneh Arefi‐Khonsari France
James Huang United States
Qiangbing Wei China
Vincent Roucoules France
Ta‐Chin Wei relative to Yuki Terayama Japan Yuki Terayama's profile →
Citations per field
00.5×7.2×
Yuki Terayama · 1×
Citations per year

Countries citing papers authored by Ta‐Chin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ta‐Chin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ta‐Chin Wei. 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 Ta‐Chin Wei. The network helps show where Ta‐Chin Wei may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20233
3 20232
4 201629
5 201369
6 201325
7 20119
8 2011131
9 20106
10 201036
11 20062
12 20055
13 20055
14 200522
15
The Study of Dissolution Kinetics of K_2SO_4 Crystal in Aqueous Ethanol Solutions with a Statistical Rate Theory
20047
16 20002
17 200015
18 199946
19 19969
20 199219

About Ta‐Chin Wei

Ta‐Chin Wei is a scholar working on Surfaces, Coatings and Films, Water Science and Technology, Biomaterials, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (15 papers), Surface Modification and Superhydrophobicity (14 papers), Plasma Diagnostics and Applications (12 papers), Polymer Surface Interaction Studies (11 papers), Plasma Applications and Diagnostics (10 papers), Membrane Separation Technologies (10 papers), Electrospun Nanofibers in Biomedical Applications (6 papers) and Catalytic Processes in Materials Science (4 papers). The work is most often cited by research in Surfaces, Coatings and Films (871 citations), Water Science and Technology (606 citations), Biomaterials (400 citations), Molecular Medicine (86 citations) and Biomedical Engineering (713 citations). Ta‐Chin Wei has collaborated with scholars based in Taiwan, France and United States. Frequent co-authors include Yung Chang, Yu‐Ju Shih, Ging‐Ho Hsiue, Ying‐Ling Liu, Juin‐Yih Lai, Chao‐Yin Ko, Wei‐Bor Tsai, Jonathan Phillips, Meng‐Jiy Wang and Wei‐Hsuan Kuo. Their work appears in journals such as Journal of Membrane Science, ACS Applied Materials & Interfaces, IEEE Transactions on Plasma Science, Langmuir and Journal of Applied Physics.

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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