Xin Lan

5.4k citations
97 papers · 4.3k · 3 hit papers · h-index 29

Impact in

Papers in

Xin Lan

92 papers receiving 4.2k citations

Xin Lan's Hit Papers

Shape-memory polymers and their composites: Stimulus methods and applications 2011 · 1.2k citations
1.2k0+6+12Years since publication4008001.2k

Peers

Xin Lan
Comparison fields: 5 of 89
  • Polymers and Plastics 3.2k
  • Biotechnology 413
  • Mechanical Engineering 1.6k
  • Materials Chemistry 1.5k
  • Biomaterials 432
Replace Haibao Lu with:
Haibao Lu China
Bin Yang China
Julie Diani France
Hendra Purnawali Singapore
Kai Yu United States
Hisaaki TOBUSHI Japan
Harper Meng United States
Z. Ding China
Jiabin Shen China
Guoxia Fei China
Xin Lan relative to Haibao Lu China Haibao Lu's profile →
Citations per field
00.5×1.5×
Haibao Lu · 1×
Citations per year

Countries citing papers authored by Xin Lan

Since Specialization
Citations

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

Fields of papers citing papers by Xin Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Shape-memory polymers and their composites: Stimulus methods and applications
Hit paper breakdown →
20111212
2
Review of electro-active shape-memory polymer composite
Hit paper breakdown →
2008446
3
Fiber reinforced shape-memory polymer composite and its application in a deployable hinge
Hit paper breakdown →
2009395
4 2018236
5 2008149
6 2008148
7 2018126
8 2018107
9 201890
10 201885
11 200974
12 201070
13 202362
14 202060
15 201360
16 201746
17 201945
18 202045
19 202244
20 201242

About Xin Lan

Xin Lan is a scholar working on Polymers and Plastics, Materials Chemistry, Mechanical Engineering, Biomedical Engineering and Civil and Structural Engineering, having authored 97 papers that have together received 4.3k indexed citations. Recurring topics across this work include Polymer composites and self-healing (65 papers), Advanced Materials and Mechanics (29 papers), Silicone and Siloxane Chemistry (19 papers), Shape Memory Alloy Transformations (14 papers), Structural Analysis and Optimization (12 papers), Advanced Sensor and Energy Harvesting Materials (12 papers), Conducting polymers and applications (9 papers) and Marine Sponges and Natural Products (9 papers). The work is most often cited by research in Polymers and Plastics (3.2k citations), Biotechnology (413 citations), Mechanical Engineering (1.6k citations), Materials Chemistry (1.5k citations) and Biomaterials (432 citations). Xin Lan has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jinsong Leng, Yanju Liu, Shanyi Du, Liwu Liu, Haibao Lv, Xiaohua Wang, Weimin Huang, Tong Mu, Shiyu Du and Chengjun Zeng. Their work appears in journals such as Composite Structures, Smart Materials and Structures, Ocean Engineering, Composites Part B Engineering 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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