Mingming Lu

772 citations
21 papers · 514 · h-index 10

Impact in

Papers in

Mingming Lu

21 papers receiving 489 citations

Peers

Mingming Lu
Comparison fields: 5 of 91
  • Computer Networks and Communications 234
  • Electrical and Electronic Engineering 152
  • Cancer Research 34
  • Electronic, Optical and Magnetic Materials 36
  • Genetics 44
Replace Peipei Zhou with:
Peipei Zhou China
Ziyang Zhu China
Fengqiu Liu China
SoYoung Kim South Korea
Shiqing Li China
Luyao Guan China
Taeyoung Kim South Korea
S. Wang United States
Shuhao Zeng China
Mingming Lu relative to Peipei Zhou China Peipei Zhou's profile →
Citations per field
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Peipei Zhou · 1×
Citations per year

Countries citing papers authored by Mingming Lu

Since Specialization
Citations

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

Fields of papers citing papers by Mingming Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006195
2 202369
3 201254
4 202237
5 202225
6 200921
7 200617
8 201915
9 201914
10 202310
11 20199
12 20188
13 20247
14 20076
15 20086
16
Study on Antioxidant Activity of Polysaccharides from Dendrobium Species
20074
17 20064
18 20234
19 20233
20 20223

About Mingming Lu

Mingming Lu is a scholar working on Computer Networks and Communications, Molecular Biology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Organic Chemistry, having authored 21 papers that have together received 514 indexed citations. Recurring topics across this work include Wireless Networks and Protocols (5 papers), Mobile Ad Hoc Networks (5 papers), Cooperative Communication and Network Coding (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Topic Modeling (3 papers), Radiology practices and education (2 papers), Natural Language Processing Techniques (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Computer Networks and Communications (234 citations), Electrical and Electronic Engineering (152 citations), Cancer Research (34 citations), Electronic, Optical and Magnetic Materials (36 citations) and Genetics (44 citations). Mingming Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jie Wu, Mihaela Cardei, Jingfa Xiao, Jingyao Zeng, Jialin Mai, Qianwen Gao, Jie Wu, Xiaoxiao Huang, Gang Wen and Feng Li. Their work appears in journals such as IEEE Access, Nucleic Acids Research, Scripta Materialia, Chemical Communications and IEEE Transactions on Reliability.

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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