Xiaojuan Xia

1.1k citations
70 papers · 707 · h-index 15

Impact in

Papers in

Xiaojuan Xia

67 papers receiving 686 citations

Peers

Xiaojuan Xia
Comparison fields: 5 of 93
  • Cardiology and Cardiovascular Medicine 211
  • Cell Biology 116
  • Plant Science 203
  • Ecology, Evolution, Behavior and Systematics 77
  • Ecological Modeling 13
Replace Songyu Wang with:
Songyu Wang China
Natalia Levina Russia
Xiaolei Zhang China
Paul W. Luther United States
Chung Kai Wong Hong Kong
Archana Kumari India
Weiping Li China
T. C. Grey United Kingdom
Emiliane Taillebois France
Hisako Igarashi Japan
Xiaojuan Xia relative to Songyu Wang China Songyu Wang's profile →
Citations per field
00.5×11.1×
Songyu Wang · 1×
Citations per year

Countries citing papers authored by Xiaojuan Xia

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojuan Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015118
2 201475
3 200542
4 201536
5 200732
6 201730
7 201125
8 201525
9 202123
10 200821
11 202419
12 202018
13 202017
14 201514
15 201914
16 201211
17 201511
18 200810
19 202210
20 201610

About Xiaojuan Xia

Xiaojuan Xia is a scholar working on Electrical and Electronic Engineering, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Molecular Biology and Plant Science, having authored 70 papers that have together received 707 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (10 papers), Advancements in Semiconductor Devices and Circuit Design (10 papers), ECG Monitoring and Analysis (8 papers), Analog and Mixed-Signal Circuit Design (7 papers), Silicon Carbide Semiconductor Technologies (7 papers), CCD and CMOS Imaging Sensors (6 papers), Semiconductor materials and devices (5 papers) and Advancements in PLL and VCO Technologies (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (211 citations), Cell Biology (116 citations), Plant Science (203 citations), Ecology, Evolution, Behavior and Systematics (77 citations) and Ecological Modeling (13 citations). Xiaojuan Xia has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jean‐Philippe Couderc, Wojciech Zaręba, Marco Thines, Arthur J. Moss, Sebastian Ploch, Ali Çelik, Tahir Ali, Kyriaki Glynou, Jose G. Maciá‐Vicente and Derick R. Peterson. Their work appears in journals such as Annals of Noninvasive Electrocardiology, Heart Rhythm, Flora, Sensors and Actuators A Physical and Superlattices and Microstructures.

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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