Xiaochen Wang

28 papers receiving 951 citations

Peers

Xiaochen Wang
Comparison fields: 5 of 72
  • Polymers and Plastics 219
  • Molecular Medicine 96
  • Biomedical Engineering 363
  • Infectious Diseases 76
  • Health Informatics 8
Replace Rahim Esfandyarpour with:
Rahim Esfandyarpour United States
Zhuohong Wu United States
Eric E. Nuxoll United States
Bastien Marchiori France
Yabin Hao China
Panita Maturavongsadit United States
Yibo Gao China
Qikai Li China
Yuhui Yang China
Xiaochen Wang relative to Rahim Esfandyarpour United States Rahim Esfandyarpour's profile →
Citations per field
00.5×5×11.5×
Rahim Esfandyarpour · 1×
Citations per year

Countries citing papers authored by Xiaochen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019281
2 2020218
3 201992
4 201682
5 202049
6 202044
7 201136
8 200320
9 202216
10 201513
11 202313
12 201612
13 202212
14 202310
15 202510
16 20219
17 20208
18 20106
19 20206
20 20236

About Xiaochen Wang

Xiaochen Wang is a scholar working on Polymers and Plastics, Control and Systems Engineering, Electrical and Electronic Engineering, Biomedical Engineering and Molecular Medicine, having authored 31 papers that have together received 964 indexed citations. Recurring topics across this work include Conducting polymers and applications (4 papers), Graphene research and applications (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Advanced Semiconductor Detectors and Materials (3 papers), 2D Materials and Applications (2 papers), Tuberculosis Research and Epidemiology (2 papers), CCD and CMOS Imaging Sensors (2 papers) and Hydrogels: synthesis, properties, applications (2 papers). The work is most often cited by research in Polymers and Plastics (219 citations), Molecular Medicine (96 citations), Biomedical Engineering (363 citations), Infectious Diseases (76 citations) and Health Informatics (8 citations). Xiaochen Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yihang Chen, Shiming Zhang, Ali Khademhosseini, Mehmet R. Dokmeci, Haonan Ling, Xiang Min Meng, Samad Ahadian, Nureddin A. Ashammakhi, Jiahua Ni and Zitong Jerry Wang. Their work appears in journals such as Advanced Functional Materials, Advanced Materials, IEEE Transactions on Electron Devices, Science China Information Sciences and Microchimica Acta.

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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