Longlong Chen

768 citations
23 papers · 621 · h-index 11

Impact in

Papers in

Longlong Chen

23 papers receiving 608 citations

Peers

Longlong Chen
Comparison fields: 5 of 67
  • Polymers and Plastics 118
  • Biomedical Engineering 372
  • Safety, Risk, Reliability and Quality 64
  • Cognitive Neuroscience 120
  • Civil and Structural Engineering 97
Replace Xueru Qu with:
Xueru Qu China
Jae‐Wook Jung South Korea
Xingyi Zhu China
Yunhao Hu China
Jianxiang Wang China
Xiao Su China
José Sánchez del Río Sáez Spain
Longlong Chen relative to Xueru Qu China Xueru Qu's profile →
Citations per field
00.5×7.5×
Xueru Qu · 1×
Citations per year

Countries citing papers authored by Longlong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Longlong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018199
2 202099
3 201862
4 201947
5 201937
6 201834
7 202229
8 202221
9 201918
10 202314
11 202211
12 20229
13 20228
14 20217
15 20226
16 20125
17 20224
18 20223
19 20122
20 20222

About Longlong Chen

Longlong Chen is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Civil and Structural Engineering, Safety, Risk, Reliability and Quality and Cognitive Neuroscience, having authored 23 papers that have together received 621 indexed citations. Recurring topics across this work include Grouting, Rheology, and Soil Mechanics (6 papers), Geotechnical Engineering and Analysis (5 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Thin-Film Transistor Technologies (4 papers), Tactile and Sensory Interactions (4 papers), Transition Metal Oxide Nanomaterials (3 papers), Geotechnical Engineering and Underground Structures (3 papers) and Advanced Fiber Laser Technologies (3 papers). The work is most often cited by research in Polymers and Plastics (118 citations), Biomedical Engineering (372 citations), Safety, Risk, Reliability and Quality (64 citations), Cognitive Neuroscience (120 citations) and Civil and Structural Engineering (97 citations). Longlong Chen has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Tingting Zhao, Tongkuai Li, Xifeng Li, Jianhua Zhang, Zhihan Zhang, Jianhua Zhang, Xifeng Li, Yang Xiang, Xin Chen and Li Yuan. Their work appears in journals such as Engineering Failure Analysis, IEEE Electron Device Letters, RSC Advances, Laser Physics Letters and IEEE/CAA Journal of Automatica Sinica.

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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