Yuling Fan

1.1k citations
51 papers · 866 · h-index 15

Impact in

Papers in

Yuling Fan

45 papers receiving 845 citations

Peers

Yuling Fan
Comparison fields: 5 of 102
  • Building and Construction 278
  • Computer Vision and Pattern Recognition 233
  • Artificial Intelligence 312
  • Renewable Energy, Sustainability and the Environment 128
  • Environmental Engineering 111
Replace Elena Mocanu with:
Elena Mocanu Netherlands
Véronique Feldheim Belgium
Luis M. Candanedo Belgium
Grzegorz Dudek Poland
Jorge Ortiz United States
Diana Manjarrés Spain
Dinh‐Nhat Truong Taiwan
Gregory Maxwell United States
Yuling Fan relative to Elena Mocanu Netherlands Elena Mocanu's profile →
Citations per field
00.5×1.5×1.8×
Elena Mocanu · 1×
Citations per year

Countries citing papers authored by Yuling Fan

Since Specialization
Citations

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

Fields of papers citing papers by Yuling Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuling Fan, 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 Yuling Fan Line = papers co-authored together Yuling Fan 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 2016181
2 201882
3 202269
4 202367
5 202158
6 201946
7 201834
8 202032
9 201729
10 202129
11 201526
12 202117
13 202216
14 202114
15 201914
16 201913
17 202312
18 202212
19 202412
20 202411

About Yuling Fan

Yuling Fan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Building and Construction and Biomedical Engineering, having authored 51 papers that have together received 866 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (12 papers), Image Retrieval and Classification Techniques (12 papers), Building Energy and Comfort Optimization (7 papers), Energy Efficiency and Management (6 papers), Ultrasound Imaging and Elastography (5 papers), Machine Learning in Bioinformatics (5 papers), Medical Imaging Techniques and Applications (5 papers) and Photoacoustic and Ultrasonic Imaging (5 papers). The work is most often cited by research in Building and Construction (278 citations), Computer Vision and Pattern Recognition (233 citations), Artificial Intelligence (312 citations), Renewable Energy, Sustainability and the Environment (128 citations) and Environmental Engineering (111 citations). Yuling Fan has collaborated with scholars based in China, South Africa and Germany. Frequent co-authors include Xiaohua Xia, Jinghua Liu, Wei Weng, Shunxiang Wu, Yongzhao Du, Weiyao Lan, Peizhong Liu, Jianeng Tang, Jun Mei and Yannan Chen. Their work appears in journals such as Applied Intelligence, Neurocomputing, Pattern Recognition, Applied Energy and Knowledge-Based Systems.

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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