Ting Xiao

774 total citations
40 papers, 491 citations indexed

About

Ting Xiao is a scholar working on Astronomy and Astrophysics, Animal Science and Zoology and Food Science. According to data from OpenAlex, Ting Xiao has authored 40 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Astronomy and Astrophysics, 13 papers in Animal Science and Zoology and 12 papers in Food Science. Recurrent topics in Ting Xiao's work include Meat and Animal Product Quality (13 papers), Galaxies: Formation, Evolution, Phenomena (8 papers) and Microencapsulation and Drying Processes (8 papers). Ting Xiao is often cited by papers focused on Meat and Animal Product Quality (13 papers), Galaxies: Formation, Evolution, Phenomena (8 papers) and Microencapsulation and Drying Processes (8 papers). Ting Xiao collaborates with scholars based in China, Canada and United States. Ting Xiao's co-authors include Qiugang Zong, Quanqi Shi, S. Y. Fu, W. Sun, Z. Y. Pu, Hosahalli S. Ramaswamy, Yong Yu, Lihui Hu, Cheng Li and H. Rème and has published in prestigious journals such as Nature Communications, The Astrophysical Journal and Geophysical Research Letters.

In The Last Decade

Ting Xiao

34 papers receiving 477 citations

Peers

Ting Xiao
Comparison fields: 5 of 57
  • Astronomy and Astrophysics 334
  • Molecular Biology 125
  • Instrumentation 79
  • Animal Science and Zoology 77
  • Food Science 58
Replace Guđmundur Stefánsson with:
Guđmundur Stefánsson United States
Donald W. Olson United States
Yanping Chen United States
Hans Thiele Germany
M. Coradini Brazil
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Émeric Bron France
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Guđmundur Stefánsson United States View profile →
Citations per field, relative to Ting Xiao
Ting Xiao · 1×
Citations per year, relative to Ting Xiao
Ting Xiao · 1×

Countries citing papers authored by Ting Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Ting Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Xiao. A scholar is included among the top collaborators of Ting Xiao 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 Ting Xiao. Ting Xiao 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 3
2 2
3 0
4 0
5 6
6 1
7 8
8 9
9 3
10 13
11 0
12 2
13 2
14 12
15 11
16 16
17 52
18
Studies on Microstructure Evolution of Inverted Pyramid–shaped Arrays Prepared by Wet Etching in TMAH Solution Containing IPA
1
19 0
20 9

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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