Meiling Chen

1.3k citations
44 papers · 933 · 1 hit paper · h-index 12

Impact in

Papers in

Meiling Chen

40 papers receiving 909 citations

Meiling Chen's Hit Papers

A Review on Data Preprocessing Techniques Toward Efficient and Reliable Knowledge Discovery From Building Operational Data 2021 · 241 citations
2410+1+3Years since publication50100150200

Peers

Meiling Chen
Comparison fields: 5 of 132
  • Pharmaceutical Science 49
  • Renewable Energy, Sustainability and the Environment 128
  • Biomaterials 79
  • Materials Chemistry 247
  • Biomedical Engineering 232
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Jinjin Zhang China
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Jinhua Liu China
Xin Yang China
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Meiling Chen relative to Jinjin Zhang China Jinjin Zhang's profile →
Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Meiling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Meiling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Review on Data Preprocessing Techniques Toward Efficient and Reliable Knowledge Discovery From Building Operational Data
Hit paper breakdown →
2021241
2 2013159
3 201967
4 200455
5 201355
6 201352
7 202234
8 201029
9 202029
10 200328
11 202124
12 201723
13 200511
14 202410
15 202310
16 20199
17 20189
18 20119
19 20108
20 20068

About Meiling Chen

Meiling Chen is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Polymers and Plastics and Electronic, Optical and Magnetic Materials, having authored 44 papers that have together received 933 indexed citations. Recurring topics across this work include Advanced battery technologies research (7 papers), Advanced Battery Technologies Research (3 papers), Supercapacitor Materials and Fabrication (3 papers), Electrochemical sensors and biosensors (2 papers), Semiconductor Quantum Structures and Devices (2 papers), Conducting polymers and applications (2 papers), Solid State Laser Technologies (2 papers) and Nonlinear Optical Materials Studies (2 papers). The work is most often cited by research in Pharmaceutical Science (49 citations), Renewable Energy, Sustainability and the Environment (128 citations), Biomaterials (79 citations), Materials Chemistry (247 citations) and Biomedical Engineering (232 citations). Meiling Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Xuwei Chen, Xinghua Wang, Jiayuan Wang, Jianhua Wang, Cheng Fan, Bufu Huang, Xiaowang Liu, Rui Xiong, Xin Cui and Diane J. Burgess. Their work appears in journals such as Scientific Reports, Frontiers in Psychiatry, Analytica Chimica Acta, Molecules and Bioconjugate Chemistry.

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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