Hui Chi

554 total citations
37 papers, 418 citations indexed

About

Hui Chi is a scholar working on Biomedical Engineering, Materials Chemistry and Biomaterials. According to data from OpenAlex, Hui Chi has authored 37 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 11 papers in Materials Chemistry and 7 papers in Biomaterials. Recurrent topics in Hui Chi's work include Bone Tissue Engineering Materials (8 papers), Electrospun Nanofibers in Biomedical Applications (6 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Hui Chi is often cited by papers focused on Bone Tissue Engineering Materials (8 papers), Electrospun Nanofibers in Biomedical Applications (6 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Hui Chi collaborates with scholars based in China. Hui Chi's co-authors include Guanghua Chen, Chengchao Song, Jinglong Yan, Kun Xu, Yungang Bai, Pixin Wang, Fan Zhang, Hongxia Wang, Xinyue Wang and Jingxiang Zhao and has published in prestigious journals such as Biochemical Journal, Chemical Engineering Journal and The FASEB Journal.

In The Last Decade

Hui Chi

36 papers receiving 416 citations

Peers

Hui Chi
Comparison fields: 5 of 85
  • Biomedical Engineering 166
  • Materials Chemistry 103
  • Biomaterials 84
  • Molecular Biology 74
  • Electrical and Electronic Engineering 45
Replace Katarzyna Reczyńska-Kolman with:
Katarzyna Reczyńska-Kolman Poland
María Lucia Foglia Argentina
Eunho Song South Korea
Guoshuang Zheng China
Yongjie Chi China
Vijay Singh Parihar Finland
S. Soundarya India
Decheng Meng China
Mojtaba Nasirinezhad Iran
Xiaqing Zhou United States
Katarzyna Reczyńska-Kolman Poland View profile →
Citations per field, relative to Hui Chi
Hui Chi · 1×
Citations per year, relative to Hui Chi
Hui Chi · 1×

Countries citing papers authored by Hui Chi

Since Specialization
Citations

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

Fields of papers citing papers by Hui Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Chi. A scholar is included among the top collaborators of Hui Chi 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 Hui Chi. Hui Chi 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
# Work Indexed citations
1 4
2 0
3 1
4 7
5 3
6 2
7 4
8 2
9 18
10 15
11 2
12 22
13 34
14 29
15 16
16 21
17 33
18 7
19 9
20
Synthesis and Characterization of Acetylated Corn Starch with High Degree of Substitution
1

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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