Xiaoling Luo

47 papers receiving 565 citations

Peers

Xiaoling Luo
Comparison fields: 5 of 85
  • Ophthalmology 118
  • Health Information Management 38
  • Radiology, Nuclear Medicine and Imaging 174
  • Computer Vision and Pattern Recognition 121
  • Neurology 34
Replace Saeed Kermani with:
Saeed Kermani Iran
Hongyu Kong China
Xi Xu China
Reza Rasti Iran
Peyman Hosseinzadeh Kassani United States
Ratheesh K. Meleppat United States
Michael Pekala United States
Fedra Hajizadeh Iran
Xiaoling Luo relative to Saeed Kermani Iran Saeed Kermani's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xiaoling Luo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202158
2 201957
3 202351
4 202039
5 201831
6 202229
7 201823
8 202019
9 201918
10 202117
11 202017
12 201915
13 202014
14 201813
15 202113
16 202013
17 202313
18 202012
19 202212
20 202412

About Xiaoling Luo

Xiaoling Luo is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Molecular Biology and Parasitology, having authored 49 papers that have together received 579 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (8 papers), Retinal Imaging and Analysis (4 papers), Retinal and Macular Surgery (4 papers), RNA modifications and cancer (3 papers), Advanced Memory and Neural Computing (3 papers), Digital Imaging for Blood Diseases (2 papers), Parasitic Infections and Diagnostics (2 papers) and Retinal Development and Disorders (2 papers). The work is most often cited by research in Ophthalmology (118 citations), Health Information Management (38 citations), Radiology, Nuclear Medicine and Imaging (174 citations), Computer Vision and Pattern Recognition (121 citations) and Neurology (34 citations). Xiaoling Luo has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Yong Dong Xu, Limei Sun, Xiaoyan Ding, Songshan Li, Jian Jun Yang, Chonglin Chen, Aiyuan Zhang, Chengxi Liu, Li Huang and Zhirong Wang. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, British Journal of Ophthalmology, Investigative Ophthalmology & Visual Science, Inorganica Chimica Acta and American Journal of Ophthalmology.

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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