Junqiang Wang

8.8k citations
315 papers · 6.8k · 1 hit paper · h-index 40

Impact in

Papers in

    • Material Dynamics and Properties 44
    • Phase-change materials and chalcogenides 33
    • Nanoporous metals and alloys 17
    • Metallic Glasses and Amorphous Alloys 86
    • High Entropy Alloys Studies 17

Junqiang Wang

290 papers receiving 6.6k citations

Junqiang Wang's Hit Papers

Time-series well performance prediction based on Long Short-Term Memory (LSTM) neural network model 2019 · 343 citations
3430+2+4Years since publication100200300

Peers

Junqiang Wang
Comparison fields: 5 of 171
  • Ceramics and Composites 718
  • Mechanical Engineering 2.8k
  • Materials Chemistry 2.8k
  • Electronic, Optical and Magnetic Materials 1.0k
  • Renewable Energy, Sustainability and the Environment 618
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Citations per field
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Citations per year

Countries citing papers authored by Junqiang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junqiang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 315 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009358
2
Time-series well performance prediction based on Long Short-Term Memory (LSTM) neural network model
Hit paper breakdown →
2019343
3 2012273
4 2012137
5 2011135
6 2015117
7 2014109
8 2017107
9 2017104
10 2020101
11 201499
12 201598
13 201497
14 201593
15 201785
16 201780
17 201878
18 201973
19 202070
20 201367

About Junqiang Wang

Junqiang Wang is a scholar working on Materials Chemistry, Mechanical Engineering, Electronic, Optical and Magnetic Materials, Ceramics and Composites and Electrical and Electronic Engineering, having authored 315 papers that have together received 6.8k indexed citations. Recurring topics across this work include Metallic Glasses and Amorphous Alloys (86 papers), Material Dynamics and Properties (44 papers), Glass properties and applications (42 papers), Phase-change materials and chalcogenides (33 papers), Electrocatalysts for Energy Conversion (19 papers), Nanoporous metals and alloys (17 papers), Magnetic and transport properties of perovskites and related materials (17 papers) and High Entropy Alloys Studies (17 papers). The work is most often cited by research in Ceramics and Composites (718 citations), Mechanical Engineering (2.8k citations), Materials Chemistry (2.8k citations), Electronic, Optical and Magnetic Materials (1.0k citations) and Renewable Energy, Sustainability and the Environment (618 citations). Junqiang Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include John H. Perepezko, Juntao Huo, D. V. Louzguine, Mingwei Chen, Xinmin Wang, Akihisa Inoue, Weihua Wang, Run-Wei Li, Yufeng Zheng and Lijian Song. Their work appears in journals such as Journal of Alloys and Compounds, Journal of Non-Crystalline Solids, Intermetallics, Science China Physics Mechanics and Astronomy and Journal of Material Science and Technology.

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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