Xinxia Cai

3.6k citations
192 papers · 2.8k · h-index 29

Impact in

Papers in

Xinxia Cai

178 papers receiving 2.8k citations

Peers

Xinxia Cai
Comparison fields: 5 of 129
  • Electrochemistry 393
  • Bioengineering 261
  • Cellular and Molecular Neuroscience 776
  • Biomedical Engineering 1.3k
  • Polymers and Plastics 287
Replace Rosa Villa with:
Rosa Villa Spain
Vincenzo F. Curto United Kingdom
Aida Martín Spain
Gemma Gabriel Spain
Chuanzhen Zhao United States
Sungbo Cho South Korea
Abbas Barfidokht United States
Yutao Li China
Xinxia Cai relative to Rosa Villa Spain Rosa Villa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xinxia Cai

Since Specialization
Citations

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

Fields of papers citing papers by Xinxia Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019213
2 2016133
3 2018115
4 2017105
5 202083
6 200682
7 200275
8 201972
9 200963
10 201061
11 201959
12 202054
13 201552
14 201650
15 201849
16 201248
17 202148
18 201542
19 202140
20 201337

About Xinxia Cai

Xinxia Cai is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Biomedical Engineering, Electrical and Electronic Engineering and Molecular Biology, having authored 192 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (93 papers), Neural dynamics and brain function (45 papers), EEG and Brain-Computer Interfaces (38 papers), Electrochemical sensors and biosensors (37 papers), Advanced biosensing and bioanalysis techniques (34 papers), Biosensors and Analytical Detection (29 papers), Electrochemical Analysis and Applications (27 papers) and Neuroscience and Neuropharmacology Research (24 papers). The work is most often cited by research in Electrochemistry (393 citations), Bioengineering (261 citations), Cellular and Molecular Neuroscience (776 citations), Biomedical Engineering (1.3k citations) and Polymers and Plastics (287 citations). Xinxia Cai has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jinping Luo, Juntao Liu, Yilin Song, Shengwei Xu, Guihua Xiao, Shuai Sun, Mixia Wang, Yue Yang, Yu Xing and Yang Wang. Their work appears in journals such as Biosensors and Bioelectronics, Sensors and Actuators B Chemical, Microsystems & Nanoengineering, ACS Sensors and ACS Applied Materials & Interfaces.

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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