Yi Fang

1.3k citations
54 papers · 699 indexed · h-index 13

Yi Fang

47 papers receiving 684 citations

Peers

Yi Fang
Comparison fields: 5 of 115
  • Computer Vision and Pattern Recognition 299
  • Human-Computer Interaction 62
  • Control and Systems Engineering 216
  • Computer Graphics and Computer-Aided Design 31
  • Health Informatics 11
Replace Myoung-Jun Kim with:
Myoung-Jun Kim South Korea
Creto Augusto Vidal Brazil
He Xie China
Laurent Grisoni France
Tansel Halic United States
Gerd Reis Germany
Anna Hilsmann Germany
Minhua Zheng China
Jan Fischer Germany
Guyue Zhou China
Yi Fang relative to Myoung-Jun Kim South Korea Myoung-Jun Kim's profile →
Citations per field
00.5×8.4×
Myoung-Jun Kim · 1×
Citations per year

Countries citing papers authored by Yi Fang

Since Specialization
Citations

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

Fields of papers citing papers by Yi Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20243
5 202418
6 20240
7 20233
8 20232
9 20210
10 20219
11 20214
12 20206
13
Artificial intelligence: a key to relieve China's insufficient and unequally-distributed medical resources.
201932
14 20172
15 20173
16 20169
17 201615
18
Defect recognition by metal magnetic memory detection of pipelines based on the fuzzy kernel function SVM
20102
19
Linear Return Analyzed with MATLAB
20042
20
A Measuring Technology Based on Image Processing and Computer Stereo Vision
20021

About Yi Fang

Yi Fang is a scholar working on Human-Computer Interaction, Health Informatics and Control and Systems Engineering, having authored 54 papers that have together received 699 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (6 papers), Robotic Mechanisms and Dynamics (6 papers), Advanced Numerical Analysis Techniques (5 papers), Tracheal and airway disorders (4 papers), Gaze Tracking and Assistive Technology (4 papers), Esophageal and GI Pathology (4 papers), Advanced Vision and Imaging (4 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (299 citations), Human-Computer Interaction (62 citations) and Control and Systems Engineering (216 citations). Yi Fang has collaborated with scholars based in China, United States and United Arab Emirates. Frequent co-authors include Jie Hu, Jin Qi, Jin Xie, Fan Zhu, Yinghong Peng, Wenhai Liu, Edward C. Wong, Weiming Wang, Jieqing Tan and Guangtao Zhai. Their work appears in journals such as Applied Sciences, Mechanism and Machine Theory, IEEE Access, Machine Vision and Applications and Renewable Energy.

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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