Bin Yan

114 papers receiving 1.5k citations

Bin Yan's Hit Papers

Endometriosis Typology and Ovarian Cancer Risk 2024 · 73 citations
730+1Years since publication204060

Peers

Bin Yan
Comparison fields: 5 of 159
  • General Dentistry 81
  • Orthodontics 148
  • Oral Surgery 179
  • Health Informatics 15
  • Complementary and Manual Therapy 17
Replace Hui Cheng with:
Hui Cheng China
Jianyu Chen China
Tomas Jansson Sweden
Giandomenico Logroscino Italy
A. Bakr M. Rabie Hong Kong
Mohd Yusmiaidil Putera Mohd Yusof Malaysia
Chiara Bellini United States
Kelvin Weng Chiong Foong Singapore
Sangwook Lee South Korea
Bin Yan relative to Hui Cheng China Hui Cheng's profile →
Citations per field
00.5×1.5×2.3×
Hui Cheng · 1×
Citations per year

Countries citing papers authored by Bin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Bin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202293
2 201380
3 202376
4
Endometriosis Typology and Ovarian Cancer Risk
Hit paper breakdown →
202473
5 201256
6 202254
7 201951
8 202248
9 201739
10 202139
11 202238
12 201836
13 202336
14 202335
15 202235
16 201534
17 202033
18 201832
19 202231
20 202124

About Bin Yan

Bin Yan is a scholar working on Molecular Biology, Orthodontics, Computer Vision and Pattern Recognition, Biomedical Engineering and Oral Surgery, having authored 134 papers that have together received 1.5k indexed citations. Recurring topics across this work include Orthodontics and Dentofacial Orthopedics (15 papers), dental development and anomalies (12 papers), Dental Research and COVID-19 (5 papers), Dental Radiography and Imaging (5 papers), Machine Fault Diagnosis Techniques (4 papers), Elasticity and Material Modeling (4 papers), Dental Implant Techniques and Outcomes (4 papers) and Face recognition and analysis (4 papers). The work is most often cited by research in General Dentistry (81 citations), Orthodontics (148 citations), Oral Surgery (179 citations), Health Informatics (15 citations) and Complementary and Manual Therapy (17 citations). Bin Yan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Lin Wang, Zongyang Sun, Henry W. Fields, Mingtao Pei, Wencheng Tang, Hanwen Zhang, Wen Sun, Limin Luo, Dan Cao and Luwei Liu. Their work appears in journals such as Materials, American Journal of Orthodontics and Dentofacial Orthopedics, Journal of the mechanical behavior of biomedical materials, PLoS ONE and European Journal Of Dental Education.

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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