Yu Di

1.4k citations
55 papers · 979 · 1 hit paper · h-index 10

Impact in

Papers in

Yu Di

52 papers receiving 959 citations

Yu Di's Hit Papers

Study on the public psychological states and its related factors during the outbreak of coronavirus disease 2019 (COVID-19) in some regions of China 2020 · 639 citations
6390+2+4Years since publication200400600

Peers

Yu Di
Comparison fields: 5 of 137
  • Clinical Psychology 450
  • Applied Psychology 57
  • Ophthalmology 66
  • General Dentistry 12
  • Social Psychology 117
Replace Salvatore Zaffina with:
Salvatore Zaffina Italy
Yi‐Jie Kuo Taiwan
Jae Wook Choi South Korea
Jaffer Shah United States
Linxin Wang China
Ermanno Vitale Italy
Lucrezia Ginevra Lulli Italy
Yibo Wu China
Manuel Jiménez Spain
Yuanyuan Mo China
Yu Di relative to Salvatore Zaffina Italy Salvatore Zaffina's profile →
Citations per field
00.5×7.3×
Salvatore Zaffina · 1×
Citations per year

Countries citing papers authored by Yu Di

Since Specialization
Citations

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

Fields of papers citing papers by Yu Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Study on the public psychological states and its related factors during the outbreak of coronavirus disease 2019 (COVID-19) in some regions of China
Hit paper breakdown →
2020639
2 201278
3 200822
4 201619
5 202015
6 202114
7 201711
8 202111
9 202110
10 20159
11 20039
12 20238
13 20187
14 20237
15 20227
16 20227
17 20197
18 20207
19 20166
20 20206

About Yu Di

Yu Di is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Aerospace Engineering and Mechanical Engineering, having authored 55 papers that have together received 979 indexed citations. Recurring topics across this work include Corneal surgery and disorders (9 papers), Retinal Diseases and Treatments (8 papers), Ocular Diseases and Behçet’s Syndrome (7 papers), Retinopathy of Prematurity Studies (7 papers), Electromagnetic wave absorption materials (4 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Advanced Antenna and Metasurface Technologies (3 papers) and Ocular Surface and Contact Lens (3 papers). The work is most often cited by research in Clinical Psychology (450 citations), Applied Psychology (57 citations), Ophthalmology (66 citations), General Dentistry (12 citations) and Social Psychology (117 citations). Yu Di has collaborated with scholars based in China, Canada and Norway. Frequent co-authors include Junjie Ye, Yenan Wang, Wenbin Wei, Zuisu Yang, Guofang Ding, Fangfang Huang, Jiabin Wang, Rong Li, Ying Li and Xiaolong Chen. Their work appears in journals such as Journal of Materials Science Materials in Electronics, Frontiers in Medicine, Transactions of Nonferrous Metals Society of China, The Ocular Surface and Scientific Reports.

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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