Menglu Yu

807 citations
23 papers · 513 · h-index 8

Impact in

Papers in

Menglu Yu

22 papers receiving 503 citations

Peers

Menglu Yu
Comparison fields: 5 of 77
  • Infectious Diseases 350
  • General Dentistry 20
  • Modeling and Simulation 31
  • Obstetrics and Gynecology 40
  • Neurology 68
Replace Emily Stoneman with:
Emily Stoneman United States
Sara Perlman‐Arrow Canada
Satoshi Mimura Japan
Zhihua Lv China
Tongqiang Zhang China
Neeraj G. Patel United States
Kazuyasu Miyoshi Japan
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Menglu Yu relative to Emily Stoneman United States Emily Stoneman's profile →
Citations per field
00.5×2.9×
Emily Stoneman · 1×
Citations per year

Countries citing papers authored by Menglu Yu

Since Specialization
Citations

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

Fields of papers citing papers by Menglu Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Menglu Yu, 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 Menglu Yu Line = papers co-authored together Menglu Yu 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 2020372
2 202034
3 202222
4 201912
5 202211
6 202010
7 201810
8 20219
9 20236
10 20226
11 20234
12 20233
13 20213
14 20232
15 20202
16 20251
17 20251
18 20231
19 20241
20 20251

About Menglu Yu

Menglu Yu is a scholar working on Electrical and Electronic Engineering, Information Systems, Computer Networks and Communications, Artificial Intelligence and Biomedical Engineering, having authored 23 papers that have together received 513 indexed citations. Recurring topics across this work include solar cell performance optimization (9 papers), Chalcogenide Semiconductor Thin Films (7 papers), Cloud Computing and Resource Management (4 papers), Nanowire Synthesis and Applications (3 papers), Stochastic Gradient Optimization Techniques (3 papers), IoT and Edge/Fog Computing (3 papers), Semiconductor Quantum Structures and Devices (2 papers) and Health Literacy and Information Accessibility (2 papers). The work is most often cited by research in Infectious Diseases (350 citations), General Dentistry (20 citations), Modeling and Simulation (31 citations), Obstetrics and Gynecology (40 citations) and Neurology (68 citations). Menglu Yu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hongling Wang, Peng Li, An Tang, Yuan Chen, Zhendong Tong, Wenjie Wu, Kefeng Li, Yaxin Dai, Jianbo Yan and Jia Liu. Their work appears in journals such as Emerging infectious diseases, Bioscience Reports, Applied Optics, IEEE Transactions on Network Science and Engineering and Progress in Photovoltaics Research and Applications.

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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