Xiaoling Ye

1.1k citations
75 papers · 789 · h-index 14

Impact in

Papers in

Xiaoling Ye

67 papers receiving 778 citations

Peers

Xiaoling Ye
Comparison fields: 5 of 114
  • Nephrology 241
  • Health Informatics 6
  • Emergency Medical Services 26
  • Critical Care and Intensive Care Medicine 15
  • Cardiology and Cardiovascular Medicine 58
Replace Stefan Haneder with:
Stefan Haneder Germany
Yusuke Okuda Japan
Charlotte Buchanan United Kingdom
Jean Rosso France
John Rowell Australia
Enrico Giuliani Italy
Mitsuhiro Sato Japan
D Schillinger France
Katherine MacRae Dell United States
Jalal B. Andre United States
Xiaoling Ye relative to Stefan Haneder Germany Stefan Haneder's profile →
Citations per field
00.5×3.8×
Stefan Haneder · 1×
Citations per year

Countries citing papers authored by Xiaoling Ye

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017133
2 201869
3 201965
4 201654
5 202048
6 202138
7 201630
8 201727
9 201923
10 202321
11 201818
12 200214
13 201114
14 201813
15 201913
16 201713
17 201512
18 201611
19 202410
20 20189

About Xiaoling Ye

Xiaoling Ye is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Nephrology, Pulmonary and Respiratory Medicine and Materials Chemistry, having authored 75 papers that have together received 789 indexed citations. Recurring topics across this work include Semiconductor Quantum Structures and Devices (13 papers), Dialysis and Renal Disease Management (11 papers), Advanced Semiconductor Detectors and Materials (11 papers), Spectroscopy and Laser Applications (5 papers), Semiconductor Lasers and Optical Devices (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Photonic and Optical Devices (4 papers) and Hepatitis B Virus Studies (3 papers). The work is most often cited by research in Nephrology (241 citations), Health Informatics (6 citations), Emergency Medical Services (26 citations), Critical Care and Intensive Care Medicine (15 citations) and Cardiology and Cardiovascular Medicine (58 citations). Xiaoling Ye has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Peter Kotanko, Yuedong Wang, Len A. Usvyat, Frank M. van der Sande, Jeroen P. Kooman, Bernard Canaud, Jochen G. Raimann, Hanjie Zhang, Qilong Wan and Stephan Thijssen. Their work appears in journals such as Blood Purification, Nephrology Dialysis Transplantation, Clinical Kidney Journal, Journal of Applied Physics and Clinical Journal of the American Society of Nephrology.

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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