Kaiyang Liu

692 citations
26 papers · 430 indexed · 1 hit paper · h-index 12

Kaiyang Liu

23 papers receiving 430 citations

Hit Papers

Synergizing artificial intelligence and probiotics: A com...172025202651015

Peers

Kaiyang Liu
Comparison fields: 5 of 78
  • Genetics 149
  • Microbiology 54
  • Rehabilitation 56
  • Biomaterials 82
  • Surgery 131
Replace Mazlyzam Abdul Latif with:
Mazlyzam Abdul Latif Malaysia
Takahiro Chino United States
Thuany Alencar‐Silva Brazil
Phillip H. Gallo United States
Yoon Young Go South Korea
Cheyanne R. Head United States
Hanna Gałkowska Poland
Ping Huang China
Mariya Farooq South Korea
Qingdong Xie China
Kaiyang Liu relative to Mazlyzam Abdul Latif Malaysia Mazlyzam Abdul Latif's profile →
Citations per field
00.5×3.4×
Mazlyzam Abdul Latif · 1×
Citations per year

Countries citing papers authored by Kaiyang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Kaiyang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Synergizing artificial intelligence and probiotics: A comprehensive review of emerging applications in health promotion and industrial innovationbreakdown →
202517
2 20253
3 20240
4 20240
5 202413
6 20231
7 20230
8 202216
9 202110
10 202119
11 20217
12 202041
13 201733
14 201725
15 201721
16 201782
17 20133
18 201230
19
Finite Element Analysis of Lower Extremity Fractures in Vehicle-Pedestrian Collision
20111
20 200657

About Kaiyang Liu

Kaiyang Liu is a scholar working on Genetics, Insect Science and Rehabilitation, having authored 26 papers that have together received 430 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (10 papers), Insect and Pesticide Research (6 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Tissue Engineering and Regenerative Medicine (4 papers), Insect Resistance and Genetics (4 papers), Wound Healing and Treatments (3 papers), Insect-Plant Interactions and Control (3 papers) and Body Contouring and Surgery (2 papers). The work is most often cited by research in Genetics (149 citations), Microbiology (54 citations) and Rehabilitation (56 citations). Kaiyang Liu has collaborated with scholars based in China, United States and France. Frequent co-authors include Junrong Cai, Feng Lu, Jingwei Feng, Shaolong Zhou, Feng Lu, Yunfan He, Minggui Gong, Jiangfeng Yuan, Bin Li and Guanghui Li. Their work appears in journals such as Journal of Agricultural and Food Chemistry, The FASEB Journal and Biochemical and Biophysical Research Communications.

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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