Xin Tang

2.4k citations
51 papers · 1.6k · 1 hit paper · h-index 19

Impact in

Papers in

Xin Tang

49 papers receiving 1.5k citations

Xin Tang's Hit Papers

Flexible brain–computer interfaces 2023 · 227 citations
2270+1+2Years since publication50100150200

Peers

Xin Tang
Comparison fields: 5 of 137
  • Pharmaceutical Science 250
  • Cellular and Molecular Neuroscience 217
  • Polymers and Plastics 138
  • Biomedical Engineering 385
  • Biophysics 47
Replace Peng Jiang with:
Peng Jiang China
Yingxin Zhang China
Takashi Handa Japan
Xiaolei Song China
Lu Gan China
Yuhang Li China
Chunqi Qian United States
Roland Müller Germany
Fangyi Chen China
Mika Sato Japan
Xin Tang relative to Peng Jiang China Peng Jiang's profile →
Citations per field
00.5×3.4×
Peng Jiang · 1×
Citations per year

Countries citing papers authored by Xin Tang

Since Specialization
Citations

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

Fields of papers citing papers by Xin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010256
2
Flexible brain–computer interfaces
Hit paper breakdown →
2023227
3 2015114
4 2023101
5 201677
6 202376
7 202361
8 202161
9 201657
10 199653
11 201550
12 202341
13 200937
14 202234
15 202326
16 201624
17 202219
18 201219
19 202018
20
[Clinical study of femtosecond laser corneal small incision lenticule extraction for correction of myopia and myopic astigmatism].
201318

About Xin Tang

Xin Tang is a scholar working on Biomedical Engineering, Molecular Biology, Oceanography, Pharmaceutical Science and Biomaterials, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (6 papers), Underwater Acoustics Research (6 papers), Drug Solubulity and Delivery Systems (5 papers), Single-cell and spatial transcriptomics (4 papers), Neuroscience and Neural Engineering (4 papers), Seismic Waves and Analysis (4 papers), Advanced Drug Delivery Systems (4 papers) and Karst Systems and Hydrogeology (3 papers). The work is most often cited by research in Pharmaceutical Science (250 citations), Cellular and Molecular Neuroscience (217 citations), Polymers and Plastics (138 citations), Biomedical Engineering (385 citations) and Biophysics (47 citations). Xin Tang has collaborated with scholars based in China, United States and France. Frequent co-authors include Jia Liu, Hao Shen, Siyuan Zhao, Na Li, Qun‐Dong Shen, F. D. Tappert, Weisan Pan, Xiaoning Zhang, Junjie Peng and Mi Wang. Their work appears in journals such as The Journal of the Acoustical Society of America, International Journal of Pharmaceutics, Nature Communications, Drug Delivery and Marine Pollution Bulletin.

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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