Yuting Hong

580 citations
22 papers · 436 indexed · h-index 8
Topics
Ferroptosis and cancer prognosis (2 papers)Multimodal Machine Learning Applications (2 papers)Ocular Surface and Contact Lens (2 papers)
Partner nations
TaiwanChinaJapan

In The Last Decade

Yuting Hong

21 papers receiving 422 citations

Peers

Yuting Hong
Comparison fields: 5 of 106
  • Plant Science 207
  • Molecular Biology 94
  • Electrical and Electronic Engineering 53
  • Materials Chemistry 34
  • Biomedical Engineering 31
Replace Chao‐Wen Lin with:
Chao‐Wen Lin Taiwan
Sungwon Han United States
Mei Ma China
Shigeo Kakimi Japan
S. Anitha India
Po Bian China
Yuting Fang China
Jingwen Sun China
Chengfang Zhang China
Koichi Nishio Japan
Yuting Hong relative to Chao‐Wen Lin Taiwan Chao‐Wen Lin's profile →
Citations per field
00.5×3.8×
Chao‐Wen Lin · 1×
Citations per year

Countries citing papers authored by Yuting Hong

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuting Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Yuting Hong. A scholar is included among the top collaborators of Yuting Hong 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 Yuting Hong. Yuting Hong 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 2
2 1
3 1
4 13
5 0
6 2
7 4
8 4
9 8
10
Analysis of Technology Acceptance and Flow Experience of Using Companion Robots among Older Adults in Care Center Environmental Engineering
1
11 3
12 10
13 1
14 10
15 228
16 12
17 1
18 6
19 43
20 7

About Yuting Hong

Yuting Hong is a scholar working on Developmental Neuroscience, Computer Vision and Pattern Recognition and Bioengineering, having authored 22 papers that have together received 436 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (2 papers), Multimodal Machine Learning Applications (2 papers) and Ocular Surface and Contact Lens (2 papers). The work is most often cited by research in Plant Science (207 citations), Electrochemistry (22 citations) and Bioengineering (13 citations). Yuting Hong has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Su‐Fen Chiang, Wen‐Chien Lu, Fu‐Nien Wang, Shang‐Yueh Tsai, Tzyy‐Jen Chiou, Tzu‐Yin Liu, Shu‐Yi Yang, Sheng‐Min Huang, Teng‐Kuei Huang and Chia-Ying Chen. Their work appears in journals such as Nature Communications, Langmuir and Chemical Engineering Journal.

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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