Xiaofei Deng

2.3k citations
66 papers · 1.5k · h-index 23

Impact in

Papers in

Xiaofei Deng

60 papers receiving 1.4k citations

Peers

Xiaofei Deng
Comparison fields: 5 of 138
  • Rehabilitation 100
  • Behavioral Neuroscience 55
  • Biological Psychiatry 36
  • Energy Engineering and Power Technology 41
  • Endocrinology, Diabetes and Metabolism 134
Replace Masaki Kondo with:
Masaki Kondo Japan
Zhiyuan Yu China
Yufan Wang China
Ying Nie China
Yanbo Chen China
Yuhao Sun China
Kush Patel United States
Aifeng Zhang China
Fang Gao China
Jinsong Kang China
Xiaofei Deng relative to Masaki Kondo Japan Masaki Kondo's profile →
Citations per field
00.5×5.9×
Masaki Kondo · 1×
Citations per year

Countries citing papers authored by Xiaofei Deng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofei Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018140
2 2020102
3 202185
4 201981
5 202273
6 202263
7 202258
8 201758
9 202155
10 202254
11 201842
12 201942
13 202042
14 202241
15 202039
16 202232
17 201430
18 202229
19 202428
20 202227

About Xiaofei Deng

Xiaofei Deng is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Aerospace Engineering and Genetics, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Wind Energy Research and Development (8 papers), Energy Load and Power Forecasting (8 papers), Protein Degradation and Inhibitors (6 papers), Wind Turbine Control Systems (5 papers), Ubiquitin and proteasome pathways (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Estrogen and related hormone effects (5 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Rehabilitation (100 citations), Behavioral Neuroscience (55 citations), Biological Psychiatry (36 citations), Energy Engineering and Power Technology (41 citations) and Endocrinology, Diabetes and Metabolism (134 citations). Xiaofei Deng has collaborated with scholars based in China, South Korea and Egypt. Frequent co-authors include Dongran Song, Young Hoon Joo, Yemin Cao, Cheng Zhao, Jian Yang, Yingjie Zhu, Yao Sun, Jing Liang, Jianhua Zhu and Jianfeng Yao. Their work appears in journals such as Biomedicine & Pharmacotherapy, Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Energy and Energy Conversion and Management.

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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