Chenchen Dong

450 citations
29 papers · 331 · h-index 9

Impact in

Papers in

Chenchen Dong

25 papers receiving 324 citations

Peers

Chenchen Dong
Comparison fields: 5 of 81
  • Mechanical Engineering 175
  • Biomedical Engineering 184
  • Polymers and Plastics 44
  • Process Chemistry and Technology 6
  • Ecological Modeling 8
Replace Qi Shao with:
Qi Shao China
Sheng Qu China
Manpreet Singh India
K. Fink United States
M. Liu China
Yuan Hong China
Lingxiao Cao China
Yuan Qi United States
Woongbi Cho South Korea
Lena Klintberg Sweden
Chenchen Dong relative to Qi Shao China Qi Shao's profile →
Citations per field
00.5×10×15×20×25×
Qi Shao · 1×
Citations per year

Countries citing papers authored by Chenchen Dong

Since Specialization
Citations

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

Fields of papers citing papers by Chenchen Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015161
2 202131
3 202218
4 201718
5 202113
6 202112
7 202110
8 20239
9 20219
10 20177
11 20236
12 20216
13 20245
14 20185
15 20234
16 20224
17 20232
18 20232
19 20242
20 20212

About Chenchen Dong

Chenchen Dong is a scholar working on Molecular Biology, Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering and Civil and Structural Engineering, having authored 29 papers that have together received 331 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (3 papers), Tunneling and Rock Mechanics (3 papers), Advanced Surface Polishing Techniques (3 papers), Bone health and osteoporosis research (2 papers), Smart Grid Security and Resilience (2 papers), Plant Virus Research Studies (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Mechanical Engineering (175 citations), Biomedical Engineering (184 citations), Polymers and Plastics (44 citations), Process Chemistry and Technology (6 citations) and Ecological Modeling (8 citations). Chenchen Dong has collaborated with scholars based in China, United States and India. Frequent co-authors include Min Li, Binghai Lyu, Julong Yuan, Yong Du, Hao Liu, Zi‐Kui Liu, Chengshen Zhu, Junjie Zhou, Jianzhong Sun and Wentao Liu. Their work appears in journals such as International Journal of Nanomanufacturing, Insect Science, Acta Pharmaceutica Sinica B, Horticulturae and Energies.

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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