Shida Wang

1.3k citations
49 papers · 980 · 1 hit paper · h-index 15

Impact in

Papers in

Shida Wang

45 papers receiving 970 citations

Shida Wang's Hit Papers

Artificial intelligence for caries and periapical periodontitis detection 2022 · 104 citations
1040+1+2Years since publication255075100

Peers

Shida Wang
Comparison fields: 5 of 128
  • Periodontics 109
  • Oral Surgery 102
  • General Dentistry 22
  • Orthodontics 41
  • Cell Biology 119
Replace Katharina Döll with:
Katharina Döll Germany
Keisuke Nakashima Japan
James Nixon United Kingdom
Takeshi Yamada Japan
Koki Yoshida Japan
Lieve Van Mellaert Belgium
Toai Nguyen United States
H. Hughes United Kingdom
Philippe Herman Belgium
Keiji Komatsu Japan
Shida Wang relative to Katharina Döll Germany Katharina Döll's profile →
Citations per field
00.5×3.1×
Katharina Döll · 1×
Citations per year

Countries citing papers authored by Shida Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shida Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shida Wang, 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 Shida Wang Line = papers co-authored together Shida Wang 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 2013134
2 2019126
3
Artificial intelligence for caries and periapical periodontitis detection
Hit paper breakdown →
2022104
4 201461
5 201957
6 201850
7 202147
8 201534
9 201233
10 202329
11 201627
12 201626
13 201824
14 201522
15 202217
16 202314
17 202314
18 202012
19 201912
20 202412

About Shida Wang

Shida Wang is a scholar working on Infectious Diseases, Civil and Structural Engineering, Molecular Biology, Epidemiology and Periodontics, having authored 49 papers that have together received 980 indexed citations. Recurring topics across this work include Oral microbiology and periodontitis research (6 papers), Vector-Borne Animal Diseases (5 papers), Dam Engineering and Safety (5 papers), Animal Disease Management and Epidemiology (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Hydraulic flow and structures (4 papers), Viral Infections and Vectors (4 papers) and Streptococcal Infections and Treatments (3 papers). The work is most often cited by research in Periodontics (109 citations), Oral Surgery (102 citations), General Dentistry (22 citations), Orthodontics (41 citations) and Cell Biology (119 citations). Shida Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xuedong Zhou, Xin Xu, Yuqing Li, Shengqiang Cai, Zilin Zhou, Ming Guo, Yiwei Li, Shaoting Lin, Bo Xu and Jialing Liu. Their work appears in journals such as Frontiers in Microbiology, Journal of Virology, Nature Communications, Advanced Materials and Archives of Oral Biology.

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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