Yating Huang

1.4k citations
51 papers · 1.1k · h-index 16

Impact in

Papers in

Yating Huang

41 papers receiving 1.1k citations

Peers

Yating Huang
Comparison fields: 5 of 100
  • Polymers and Plastics 389
  • Mechanics of Materials 351
  • Mechanical Engineering 518
  • Surfaces, Coatings and Films 43
  • Food Science 78
Replace Domagoj Vrsaljko with:
Domagoj Vrsaljko Croatia
Feng Lv China
Atanu Adhvaryu United States
Frédéric Bonfils France
Debaditya Bera India
Yanli Yin China
Barbora Lapčí­ková Czechia
José Carlos Oliveira Santos Brazil
Xiao-Sa Zhang China
Yating Huang relative to Domagoj Vrsaljko Croatia Domagoj Vrsaljko's profile →
Citations per field
00.5×4.6×
Domagoj Vrsaljko · 1×
Citations per year

Countries citing papers authored by Yating Huang

Since Specialization
Citations

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

Fields of papers citing papers by Yating Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992210
2 1992190
3 199272
4 199268
5 201562
6 202158
7
Phenethyl isothiocyanate (PEITC) promotes G2/M phase arrest via p53 expression and induces apoptosis through caspase- and mitochondria-dependent signaling pathways in human prostate cancer DU 145 cells.
201140
8 199239
9 201036
10 202235
11 202032
12 202027
13 201120
14 202118
15 202318
16 199317
17 201315
18 201215
19 202415
20 200915

About Yating Huang

Yating Huang is a scholar working on Biomedical Engineering, Mechanical Engineering, Materials Chemistry, Mechanics of Materials and Food Science, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Surface Polishing Techniques (8 papers), Epoxy Resin Curing Processes (6 papers), Proteins in Food Systems (5 papers), Mechanical Behavior of Composites (5 papers), Injection Molding Process and Properties (4 papers), Molecular Sensors and Ion Detection (3 papers), Advanced machining processes and optimization (3 papers) and Luminescence and Fluorescent Materials (3 papers). The work is most often cited by research in Polymers and Plastics (389 citations), Mechanics of Materials (351 citations), Mechanical Engineering (518 citations), Surfaces, Coatings and Films (43 citations) and Food Science (78 citations). Yating Huang has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include A. J. Kinloch, Jianbin Luo, Dan Guo, Xinchun Lu, Jian‐Bo Wan, Naisheng Li, Chunyan Yan, Dezhi Zhang, Hong Liang and Yansong Jiang. Their work appears in journals such as Applied Surface Science, Journal of Materials Science, International Journal of Biological Macromolecules, Polymer and International Journal of Pharmaceutics.

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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