Xin Qu

6.7k citations
109 papers · 5.4k · 3 hit papers · h-index 35

Impact in

Papers in

Xin Qu

101 papers receiving 5.3k citations

Xin Qu's Hit Papers

Biomimetic 3D-printed scaffolds for spinal cord injury repair 2019 · 545 citations
5450+3+6Years since publication200400600

Peers

Xin Qu
Comparison fields: 5 of 137
  • Industrial and Manufacturing Engineering 946
  • Automotive Engineering 1.3k
  • Biomedical Engineering 2.7k
  • Mechanical Engineering 1.5k
  • Biomaterials 491
Replace Jun Ma with:
Jun Ma China
Marcella Trombetta Italy
Johan Liu Sweden
Jeff Sakamoto United States
Zhiyuan Han China
Guangfu Yin China
Yan Yan Shery Huang United Kingdom
Lan Yin China
Wenjing Yang China
Ye Shi China
Xin Qu relative to Jun Ma China Jun Ma's profile →
Citations per field
00.5×1.7×
Jun Ma · 1×
Citations per year

Countries citing papers authored by Xin Qu

Since Specialization
Citations

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

Fields of papers citing papers by Xin Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deterministically patterned biomimetic human iPSC-derived hepatic model via rapid 3D bioprinting
Hit paper breakdown →
2016701
2
Biomimetic 3D-printed scaffolds for spinal cord injury repair
Hit paper breakdown →
2019545
3
Direct 3D bioprinting of prevascularized tissue constructs with complex microarchitecture
Hit paper breakdown →
2017434
4 2014308
5 2012293
6 2015254
7 2013181
8 2019120
9 2021119
10 2008117
11 2020114
12 2013108
13 2020108
14 201991
15 202285
16 201582
17 202082
18 202379
19 201569
20 201958

About Xin Qu

Xin Qu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Mechanical Engineering, Industrial and Manufacturing Engineering and Biomedical Engineering, having authored 109 papers that have together received 5.4k indexed citations. Recurring topics across this work include Advancements in Battery Materials (38 papers), Extraction and Separation Processes (32 papers), Recycling and Waste Management Techniques (26 papers), MXene and MAX Phase Materials (15 papers), 2D Materials and Applications (12 papers), Boron and Carbon Nanomaterials Research (9 papers), 3D Printing in Biomedical Research (8 papers) and Advanced Battery Materials and Technologies (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (946 citations), Automotive Engineering (1.3k citations), Biomedical Engineering (2.7k citations), Mechanical Engineering (1.5k citations) and Biomaterials (491 citations). Xin Qu has collaborated with scholars based in China, United States and Ukraine. Frequent co-authors include Shaochen Chen, Wei Zhu, Justin Liu, Beilei Zhang, Hongwei Xie, Huayi Yin, Dihua Wang, Cheuk Sun Edwin Lai, Xuanyi Ma and Pengrui Wang. Their work appears in journals such as Chemical Engineering Journal, ACS Sustainable Chemistry & Engineering, Acta Biomaterialia, Green Chemistry and Journal of Hazardous Materials.

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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