Xiaochao Yang

3.1k citations
67 papers · 2.5k · h-index 27

Impact in

Papers in

Xiaochao Yang

61 papers receiving 2.5k citations

Peers

Xiaochao Yang
Comparison fields: 5 of 165
  • Applied Psychology 156
  • Human-Computer Interaction 151
  • Biomaterials 322
  • Biomedical Engineering 738
  • Cancer Research 243
Replace Boya Liu with:
Boya Liu China
Hyung Jin Choi South Korea
Ziwen Jiang United States
Limei Tian United States
Jia Li China
Song Yi Lee South Korea
Ruth Schmid Norway
Fangfang Zhu China
Hyunsoo Lee South Korea
Igor Pantić Serbia
Xiaochao Yang relative to Boya Liu China Boya Liu's profile →
Citations per field
00.5×5.4×
Boya Liu · 1×
Citations per year

Countries citing papers authored by Xiaochao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011293
2 2010189
3 2010168
4 2016158
5 2014119
6 2010109
7 2016109
8 201386
9 200879
10 201478
11 202169
12 202268
13 200962
14 201757
15 201453
16 201252
17 201649
18 200949
19 201448
20 201847

About Xiaochao Yang

Xiaochao Yang is a scholar working on Materials Chemistry, Biomedical Engineering, Molecular Biology, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 67 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Nanomaterials in Catalysis (20 papers), Nanocluster Synthesis and Applications (9 papers), Bone Metabolism and Diseases (7 papers), Nanoplatforms for cancer theranostics (6 papers), Bone Tissue Engineering Materials (6 papers), Nanoparticle-Based Drug Delivery (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Applied Psychology (156 citations), Human-Computer Interaction (151 citations), Biomaterials (322 citations), Biomedical Engineering (738 citations) and Cancer Research (243 citations). Xiaochao Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Vincent M. Rotello, Shiwu Dong, Hong Jiang, Ce Dou, Fei Kang, Oscar R. Miranda, Sarit S. Agasti, Nicholas D. Lane, Hong Lu and Andrew T. Campbell. Their work appears in journals such as ACS Applied Materials & Interfaces, Materials Today Bio, Angewandte Chemie International Edition, Journal of the American Chemical Society and Remote Sensing.

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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