Aiping Ding

737 citations
17 papers · 612 · h-index 9

Impact in

Papers in

Aiping Ding

16 papers receiving 601 citations

Peers

Aiping Ding
Comparison fields: 5 of 76
  • Radiation 118
  • Industrial and Manufacturing Engineering 102
  • Radiology, Nuclear Medicine and Imaging 248
  • Inorganic Chemistry 133
  • Water Science and Technology 101
Replace S. V. Ermolaev with:
S. V. Ermolaev Russia
Sanhita Chaudhury India
A. Massoud Egypt
M. Ghannadi Maragheh Iran
P.S. Dhami India
Michael Adekunle Olatunji Malaysia
Lianli Liu China
V. C. Adya India
Takeshige Takahashi Japan
A. Ramanujam India
Aiping Ding relative to S. V. Ermolaev Russia S. V. Ermolaev's profile →
Citations per field
00.5×2.9×
S. V. Ermolaev · 1×
Citations per year

Countries citing papers authored by Aiping Ding

Since Specialization
Citations

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

Fields of papers citing papers by Aiping Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2005312
2 201599
3 201283
4 201034
5 201615
6
A Monte Carlo Neutron Transport Code for Eigenvalue Calculations on a Dual-GPU System and CUDA Environment
20129
7
EVALUATION OF SPEEDUP OF MONTE CARLO CALCULATIONS OF TWO SIMPLE REACTOR PHYSICS PROBLEMS CODED FOR THE GPU/CUDA ENVIRONMENT
20119
8 20158
9 20118
10
Development of a Radiation Dose Reporting Software for X-ray Computed Tomography (CT)
20128
11 20146
12 20156
13 20205
14 20214
15 20233
16 20093
17 20070

About Aiping Ding

Aiping Ding is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering and Aerospace Engineering, having authored 17 papers that have together received 612 indexed citations. Recurring topics across this work include Radiation Dose and Imaging (9 papers), Advanced Radiotherapy Techniques (6 papers), Advanced X-ray and CT Imaging (6 papers), Radiation Therapy and Dosimetry (4 papers), Nuclear reactor physics and engineering (3 papers), Radiation Detection and Scintillator Technologies (3 papers), Digital Radiography and Breast Imaging (3 papers) and Nuclear Physics and Applications (3 papers). The work is most often cited by research in Radiation (118 citations), Industrial and Manufacturing Engineering (102 citations), Radiology, Nuclear Medicine and Imaging (248 citations), Inorganic Chemistry (133 citations) and Water Science and Technology (101 citations). Aiping Ding has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Wenping Hu, Xiangke Wang, Di Xu, Changlun Chen, Xiang Zhou, P Caracappa, X. George Xu, Tianyu Liu, Matthew M. Mille and Xiaobin Xu. Their work appears in journals such as Medical Physics, Health Physics, Physics in Medicine and Biology, Journal of Applied Clinical Medical Physics and Environmental Science & Technology.

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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