Dongping Li

65 papers receiving 751 citations

Peers

Dongping Li
Comparison fields: 5 of 107
  • Computer Graphics and Computer-Aided Design 72
  • Geology 89
  • Computer Vision and Pattern Recognition 164
  • Computational Mechanics 120
  • Electronic, Optical and Magnetic Materials 100
Replace Feng Ni with:
Feng Ni China
Xinlei Wang China
Weina Wang China
Yifan Feng China
Shaolei Liu China
Xuan Wei China
Hongsong Li China
G.F. McLean Canada
Xiyang Wang China
Jié Song China
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Citations per field
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Citations per year

Countries citing papers authored by Dongping Li

Since Specialization
Citations

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

Fields of papers citing papers by Dongping Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012163
2 202254
3 202447
4 202239
5 201637
6 201727
7 202226
8 202025
9 201721
10 201621
11 201718
12 202418
13 201518
14 201717
15 201914
16 202413
17 202011
18 201911
19 201711
20 202011

About Dongping Li

Dongping Li is a scholar working on Mechanical Engineering, Biomedical Engineering, Ocean Engineering, Materials Chemistry and Electrical and Electronic Engineering, having authored 69 papers that have together received 774 indexed citations. Recurring topics across this work include Hydraulic Fracturing and Reservoir Analysis (9 papers), Advanced Sensor and Energy Harvesting Materials (8 papers), Drilling and Well Engineering (5 papers), 3D Shape Modeling and Analysis (5 papers), Hydrocarbon exploration and reservoir analysis (4 papers), Enhanced Oil Recovery Techniques (4 papers), Computational Drug Discovery Methods (4 papers) and Conducting polymers and applications (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (72 citations), Geology (89 citations), Computer Vision and Pattern Recognition (164 citations), Computational Mechanics (120 citations) and Electronic, Optical and Magnetic Materials (100 citations). Dongping Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Kun Zhou, Tianjia Shao, Baining Guo, Weiwei Xu, Jingdong Wang, Bingyuan Zhang, Xiaoyu Guan, Jinming Chang, Hongzhi Wu and Mengxia Shen. Their work appears in journals such as Chemical Engineering Journal, ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics, ACS Applied Materials & Interfaces and Journal of Materials Science Materials in Electronics.

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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