Xiaojun Yan

4.2k citations
188 papers · 3.3k indexed · 2 hit papers · h-index 28

Impact in

Papers in

Xiaojun Yan

172 papers receiving 3.2k citations

Hit Papers

Single-Atom Ni Supported on TiO2 for Catalyzing Hydrogen Storage in MgH2 2024 · 112 citations
1122019202620212023100200300400

Peers

Xiaojun Yan
Comparison fields: 5 of 142
  • Aquatic Science 328
  • Condensed Matter Physics 380
  • Mechanical Engineering 1.1k
  • Electronic, Optical and Magnetic Materials 388
  • Mechanics of Materials 491
Replace Dan Liu with:
Dan Liu China
Han Ye China
Feng Xiong China
Yiqin Chen China
Dongxiang Zhou China
Yang He China
Changyong Cao United States
Feipeng Wang China
Dongsoo Lee South Korea
Xiaojun Yan relative to Dan Liu China Dan Liu's profile →
Citations per field
00.5×4.5×
Dan Liu · 1×
Citations per year

Countries citing papers authored by Xiaojun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20255
2 20250
3 20250
4 20256
5 20244
6 20245
7 202428
8 202427
9 20241
10 20240
11 20241
12 20241
13 20244
14 20237
15 202311
16 20223
17 20216
18 20218
19 20205
20 20187

About Xiaojun Yan

Xiaojun Yan is a scholar working on Condensed Matter Physics, Mechanical Engineering, Aerospace Engineering, Mechanics of Materials and Materials Chemistry, having authored 188 papers that have together received 3.3k indexed citations. Recurring topics across this work include Micro and Nano Robotics (30 papers), High Temperature Alloys and Creep (28 papers), Fatigue and fracture mechanics (22 papers), Biomimetic flight and propulsion mechanisms (21 papers), Shape Memory Alloy Transformations (21 papers), Modular Robots and Swarm Intelligence (12 papers), Mechanical and Optical Resonators (10 papers) and Advanced Sensor and Energy Harvesting Materials (10 papers). The work is most often cited by research in Aquatic Science (328 citations), Condensed Matter Physics (380 citations), Mechanical Engineering (1.1k citations), Electronic, Optical and Magnetic Materials (388 citations) and Mechanics of Materials (491 citations). Xiaojun Yan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Mingjing Qi, Liwei Lin, Dawei Huang, Yoshihiro Chuda, Xiaoyong Zhang, Xiaowei Yang, Congcong Liu, Zhiwei Liu, Zixu Guo and Guohua Gao. Their work appears in journals such as Review of Scientific Instruments, Sensors and Actuators A Physical, Smart Materials and Structures, International Journal of Fatigue and IEEE Robotics and Automation Letters.

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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