Xiaowei Dong

23 papers receiving 417 citations

Peers

Xiaowei Dong
Comparison fields: 5 of 84
  • Endocrine and Autonomic Systems 132
  • Catalysis 52
  • Biological Psychiatry 12
  • Cognitive Neuroscience 84
  • Pharmacy 19
Replace Werner Willems with:
Werner Willems Germany
Moshe Ben‐Tzion Israel
Xiuqing Ding Canada
Martino Furio Italy
Xiaochun Bian United States
Kexin Fan China
John P. Cummings United States
Willian S. Korim Australia
Shinya Yanagita Japan
Xiaowei Dong relative to Werner Willems Germany Werner Willems's profile →
Citations per field
00.5×4.3×
Werner Willems · 1×
Citations per year

Countries citing papers authored by Xiaowei Dong

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199773
2 199958
3 201649
4 201049
5 201836
6 201528
7 199627
8 200922
9 202416
10 202510
11 202410
12 20238
13 20247
14 20185
15 20235
16 20254
17 20224
18 20073
19 20232
20 20252

About Xiaowei Dong

Xiaowei Dong is a scholar working on Mechanics of Materials, Statistics, Probability and Uncertainty, Mechanical Engineering, Cellular and Molecular Neuroscience and Civil and Structural Engineering, having authored 24 papers that have together received 422 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (7 papers), Fatigue and fracture mechanics (4 papers), Structural Health Monitoring Techniques (4 papers), Neuroscience of respiration and sleep (4 papers), Metal and Thin Film Mechanics (2 papers), Wind and Air Flow Studies (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Adaptive Control of Nonlinear Systems (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (132 citations), Catalysis (52 citations), Biological Psychiatry (12 citations), Cognitive Neuroscience (84 citations) and Pharmacy (19 citations). Xiaowei Dong has collaborated with scholars based in China, United States and Portugal. Frequent co-authors include Jack L. Feldman, Gregory D. Funk, Wenjuan Shan, Na Ma, Chunyan Zhu, Shereé M. Johnson, Jeffrey C. Smith, Didier Morin, Chang Liu and Lingling Wei. Their work appears in journals such as Journal of Neuroscience, Computer Methods in Applied Mechanics and Engineering, Reliability Engineering & System Safety, Structures and Developmental Neuroscience.

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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