Chia‐Hui Wu

532 citations
23 papers · 436 indexed · h-index 12

Chia‐Hui Wu

23 papers receiving 436 citations

Peers

Chia‐Hui Wu
Comparison fields: 5 of 70
  • Organic Chemistry 266
  • Polymers and Plastics 73
  • Molecular Biology 258
  • Renewable Energy, Sustainability and the Environment 53
  • Biotechnology 23
Replace Kun Huang with:
Kun Huang United Kingdom
Surbhi Soni India
Maryam Ashjari Iran
Jinyi Song China
Tabassum Ara India
Chuljin Ahn South Korea
Thomas Lorenz Germany
Ana Montero United States
Abdullah Yahya Abdullah Alzahrani Saudi Arabia
M. Belén Ballatore Argentina
Chia‐Hui Wu relative to Kun Huang United Kingdom Kun Huang's profile →
Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Chia‐Hui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Hui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Hui Wu. 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 Chia‐Hui Wu. The network helps show where Chia‐Hui Wu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 202316
3 20228
4 202163
5 20217
6 20205
7 202027
8 201916
9 201950
10 20181
11 201417
12 20122
13 20121
14 20129
15 201156
16 201157
17 201130
18 201022
19
[Nursing care of a preschool-age child with cellulites induced by phagocyte deficiency].
20102
20 200922

About Chia‐Hui Wu

Chia‐Hui Wu is a scholar working on Organic Chemistry, Occupational Therapy, Biotechnology, Molecular Biology and Catalysis, having authored 23 papers that have together received 436 indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (11 papers), Glycosylation and Glycoproteins Research (9 papers), Enzyme Catalysis and Immobilization (5 papers), Chemical Synthesis and Analysis (3 papers), Genomics and Phylogenetic Studies (3 papers), Click Chemistry and Applications (2 papers), TiO2 Photocatalysis and Solar Cells (2 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Organic Chemistry (266 citations), Polymers and Plastics (73 citations), Molecular Biology (258 citations), Renewable Energy, Sustainability and the Environment (53 citations) and Biotechnology (23 citations). Chia‐Hui Wu has collaborated with scholars based in Taiwan, Russia and United States. Frequent co-authors include Cheng‐Chung Wang, Mei‐Huei Lin, Chun‐Wei Chang, Ved Prakash Verma, Sarah Lam, Pin‐Hsuan Liao, Kuo–Chuan Ho, Kuan‐Chieh Huang, Jiann-T′suen Lin and Wei‐Chi Lai. Their work appears in journals such as Angewandte Chemie International Edition, Journal of the Taiwan Institute of Chemical Engineers, Journal of Applied Polymer Science, Journal of Molecular Catalysis B Enzymatic and Science Advances.

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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