Aiping Ding

37 papers receiving 848 citations

Peers

Aiping Ding
Comparison fields: 5 of 60
  • Radiation 110
  • Radiology, Nuclear Medicine and Imaging 261
  • Water Science and Technology 152
  • Inorganic Chemistry 130
  • Aerospace Engineering 150
Replace Mohammad Reza Kardan with:
Mohammad Reza Kardan Iran
Takuji Kojima Japan
Geni Rina Sunaryo Indonesia
Nicola Cerullo Italy
María Roig Spain
A. Nourreddine France
Te Ba Singapore
Vahid Damideh Iran
Yuji Torikai Japan
J.A. Ruiz Spain
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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

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005330
2 2015111
3 201285
4 200774
5 201041
6 200729
7 200624
8 200719
9
Research and development of the automatic modeling system for Monte Carlo particle transport simulation
200616
10 201615
11 201410
12
EVALUATION OF SPEEDUP OF MONTE CARLO CALCULATIONS OF TWO SIMPLE REACTOR PHYSICS PROBLEMS CODED FOR THE GPU/CUDA ENVIRONMENT
20119
13
A Monte Carlo Neutron Transport Code for Eigenvalue Calculations on a Dual-GPU System and CUDA Environment
20129
14 20118
15
Development of a Radiation Dose Reporting Software for X-ray Computed Tomography (CT)
20128
16 20158
17 20158
18 20126
19 20146
20 20206

About Aiping Ding

Aiping Ding is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Aerospace Engineering, Hardware and Architecture and Human-Computer Interaction, having authored 37 papers that have together received 867 indexed citations. Recurring topics across this work include Radiation Dose and Imaging (19 papers), Nuclear reactor physics and engineering (9 papers), Advanced Radiotherapy Techniques (7 papers), Radiation Therapy and Dosimetry (2 papers), Parallel Computing and Optimization Techniques (2 papers), Fusion materials and technologies (2 papers), Radioactive element chemistry and processing (1 paper) and Virtual Reality Applications and Impacts (1 paper). The work is most often cited by research in Radiation (110 citations), Radiology, Nuclear Medicine and Imaging (261 citations), Water Science and Technology (152 citations), Inorganic Chemistry (130 citations) and Aerospace Engineering (150 citations). Aiping Ding has collaborated with scholars based in United States and China. Frequent co-authors include Wenping Hu, Xiang Zhou, Xiangke Wang, Di Xu, Changlun Chen, Peter F. Caracappa, X. George Xu, Qin Zeng, Shanliang Zheng and Yiming Gao. Their work appears in journals such as Medical Physics, Fusion Engineering and Design, Health Physics, Physics in Medicine and Biology and Academic Radiology.

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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