Xiaoyong Tian

6.0k citations
64 papers · 4.8k indexed · 4 hit papers · h-index 29

Xiaoyong Tian

62 papers receiving 4.7k citations

Hit Papers

3D Printing of Continuous Fiber R...1772016202620192022250500750

Peers

Xiaoyong Tian
Comparison fields: 5 of 94
  • Automotive Engineering 4.0k
  • Industrial and Manufacturing Engineering 1.5k
  • Building and Construction 1.8k
  • Mechanical Engineering 1.6k
  • General Materials Science 130
Replace Vlastimil Kunc with:
Vlastimil Kunc United States
Chad Duty United States
M.A. Caminero Spain
J.M. Chacón Spain
Lonnie Love United States
Fuda Ning United States
Yoshiyasu Hirano Japan
Weilong Cong United States
Nectarios Vidakis Greece
Markos Petousis Greece
Xiaoyong Tian relative to Vlastimil Kunc United States Vlastimil Kunc's profile →
Citations per field
00.5×1.5×
Vlastimil Kunc · 1×
Citations per year

Countries citing papers authored by Xiaoyong Tian

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyong Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20258
2 20250
3 20250
4 20251
5 202412
6 202412
7 20249
8 20245
9 20246
10 202333
11 20239
12 20233
13 202310
14 202311
15 202322
16 20231
17 202225
18 20204
19 2020124
20 201863

About Xiaoyong Tian

Xiaoyong Tian is a scholar working on Automotive Engineering, Industrial and Manufacturing Engineering and Building and Construction, having authored 64 papers that have together received 4.8k indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (59 papers), Innovations in Concrete and Construction Materials (27 papers), Manufacturing Process and Optimization (27 papers), Injection Molding Process and Properties (9 papers), Bone Tissue Engineering Materials (8 papers), Additive Manufacturing Materials and Processes (5 papers), Mechanical Behavior of Composites (5 papers) and Cellular and Composite Structures (5 papers). The work is most often cited by research in Automotive Engineering (4.0k citations), Industrial and Manufacturing Engineering (1.5k citations) and Building and Construction (1.8k citations). Xiaoyong Tian has collaborated with scholars based in China, Russia and Germany. Frequent co-authors include Dichen Li, Tengfei Liu, Chuncheng Yang, Yi Cao, Qingrui Wang, Zhanghao Hou, Dichen Li, Junkang Zhang, Changquan Shi and Feng Zhao. Their work appears in journals such as Journal of Cleaner Production, International Journal of Heat and Mass Transfer and Composites Science and Technology.

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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