Mingwei Hu

498 citations
22 papers · 372 · h-index 10

Impact in

    • Graphene research and applications
    • 2D Materials and Applications
    • Boron and Carbon Nanomaterials Research
    • Machine Learning in Materials Science
    • MXene and MAX Phase Materials

Papers in

Mingwei Hu

20 papers receiving 356 citations

Peers

Mingwei Hu
Comparison fields: 5 of 49
  • Materials Chemistry 230
  • Metals and Alloys 12
  • Mechanical Engineering 104
  • Aerospace Engineering 46
  • Mechanics of Materials 44
Replace Sara Newman with:
Sara Newman United States
İ. Aksoy Türkiye
Shenglan Yang China
Vadimas Verdingovas Denmark
Kaixiong Hu China
Nazmul Haque Bangladesh
Stephen DeWitt United States
Mingwei Hu relative to Sara Newman United States Sara Newman's profile →
Citations per field
00.5×2.6×
Sara Newman · 1×
Citations per year

Countries citing papers authored by Mingwei Hu

Since Specialization
Citations

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

Fields of papers citing papers by Mingwei Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202383
2 201148
3 201241
4 202140
5 202225
6 202122
7 201517
8 201116
9 201114
10 201111
11 20239
12 20059
13 20048
14 20126
15 20036
16 20245
17 20245
18 20044
19 20212
20 20051

About Mingwei Hu

Mingwei Hu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Building and Construction, Automotive Engineering and Metals and Alloys, having authored 22 papers that have together received 372 indexed citations. Recurring topics across this work include Graphene research and applications (7 papers), Boron and Carbon Nanomaterials Research (4 papers), Machine Learning in Materials Science (4 papers), Aluminum Alloy Microstructure Properties (3 papers), Hydrogen embrittlement and corrosion behaviors in metals (3 papers), Transportation and Mobility Innovations (3 papers), Advancements in Battery Materials (3 papers) and Vehicle Routing Optimization Methods (2 papers). The work is most often cited by research in Materials Chemistry (230 citations), Metals and Alloys (12 citations), Mechanical Engineering (104 citations), Aerospace Engineering (46 citations) and Mechanics of Materials (44 citations). Mingwei Hu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Zhizhou Yu, Lizhong Sun, Ruth Knibbe, Mingxing Zhang, Jianxin Zhong, Qiyang Tan, Xue Li, Bin Jiang, Sen Wang and Chunxiao Zhang. Their work appears in journals such as Computational Materials Science, Materials Science and Engineering R Reports, Frontiers in Earth Science, The Journal of Physical Chemistry C and Physica B Condensed Matter.

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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