Xiaoli Dai

933 citations
47 papers · 753 · h-index 16

Impact in

Papers in

Xiaoli Dai

44 papers receiving 737 citations

Peers

Xiaoli Dai
Comparison fields: 5 of 79
  • Pollution 213
  • Electronic, Optical and Magnetic Materials 117
  • Biomedical Engineering 198
  • Health, Toxicology and Mutagenesis 61
  • Analytical Chemistry 42
Replace Ajoy Mandal with:
Ajoy Mandal India
Rui‐Peng Ren China
Zhenghui Liu China
Guowen Wang China
Li Yan China
Shaofeng Zhou China
Young-Kyu Hong South Korea
S.R. de Sánchez Argentina
Xiaofang Zhou China
Deyong Wu China
Xiaoli Dai relative to Ajoy Mandal India Ajoy Mandal's profile →
Citations per field
00.5×3.2×
Ajoy Mandal · 1×
Citations per year

Countries citing papers authored by Xiaoli Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201674
2 200461
3 201661
4 201860
5 202059
6 202052
7 201942
8 202141
9 200229
10 202128
11 202127
12 201523
13 202319
14 202018
15 200615
16 202315
17 201614
18 202014
19 201012
20 202411

About Xiaoli Dai

Xiaoli Dai is a scholar working on Electrical and Electronic Engineering, Pollution, Biomedical Engineering, Electronic, Optical and Magnetic Materials and Mechanics of Materials, having authored 47 papers that have together received 753 indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (19 papers), Photonic and Optical Devices (15 papers), Microbial bioremediation and biosurfactants (12 papers), Semiconductor Lasers and Optical Devices (11 papers), Supercapacitor Materials and Fabrication (5 papers), Enhanced Oil Recovery Techniques (5 papers), Catalysis for Biomass Conversion (3 papers) and Advanced Fiber Laser Technologies (3 papers). The work is most often cited by research in Pollution (213 citations), Electronic, Optical and Magnetic Materials (117 citations), Biomedical Engineering (198 citations), Health, Toxicology and Mutagenesis (61 citations) and Analytical Chemistry (42 citations). Xiaoli Dai has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Shaohui Guo, Guangxu Yan, Jing Lv, Jie Ma, Stephen J. Mihailov, Robert B. Walker, Ming Zhang, Jitao Li, Dingyu Yang and Yetao Jiang. Their work appears in journals such as RSC Advances, Optical Engineering, Measurement Science and Technology, Biochemical Engineering Journal and Journal of environmental chemical engineering.

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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