Dingding Wang

17 papers receiving 436 citations

Peers

Dingding Wang
Comparison fields: 5 of 104
  • Health Informatics 23
  • Management Science and Operations Research 125
  • Developmental Neuroscience 41
  • Anesthesiology and Pain Medicine 48
  • Artificial Intelligence 185
Replace Hong Sun with:
Hong Sun Belgium
Ken Chen China
Ah Reum Kang South Korea
Cameron Foale Australia
Odd Erik Gundersen Norway
Peter Weller United Kingdom
Toktam Khatibi Iran
Yan Zhuang China
Mohammad Adibuzzaman United States
Ahmad Slim United States
Dingding Wang relative to Hong Sun Belgium Hong Sun's profile →
Citations per field
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Hong Sun · 1×
Citations per year

Countries citing papers authored by Dingding Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dingding Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2018234
2 202087
3 201052
4 202016
5 201512
6 202111
7 20228
8 20138
9 20147
10 20146
11 20216
12 20235
13 20233
14
A data acquisition module based on CompactRIO
20121
15 20231
16 20211
17 20241
18 20211
19 20250
20
Inhibitory effect of anti-c-erbB-2 monoclonal antibody labeled with ~(131)I on growth of ovarian cancer in mude mice
20100

About Dingding Wang

Dingding Wang is a scholar working on Control and Systems Engineering, Ophthalmology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Social Psychology, having authored 20 papers that have together received 460 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (3 papers), Glaucoma and retinal disorders (2 papers), Process Optimization and Integration (2 papers), Retinal Diseases and Treatments (2 papers), COVID-19 diagnosis using AI (1 paper), Bee Products Chemical Analysis (1 paper), Sensor Technology and Measurement Systems (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Health Informatics (23 citations), Management Science and Operations Research (125 citations), Developmental Neuroscience (41 citations), Anesthesiology and Pain Medicine (48 citations) and Artificial Intelligence (185 citations). Dingding Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Anna Pomeranets, Taghi M. Khoshgoftaar, Jiaqing Mo, Liang Xu, Gang Zhou, Wenxian Li, Michaela Riedl, Xiaoyi Lv, Jun Tang and Jing Jiang. Their work appears in journals such as European Journal of Ophthalmology, Applied Spectroscopy, The Journal of General Psychology, Frontiers in Neurology and International Journal of Public Health.

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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