Ming‐Liang Wei

77 total papers · 621 total citations
51 papers, 445 citations indexed

About

Ming‐Liang Wei is a scholar working on Materials Chemistry, Fluid Flow and Transfer Processes and Electrical and Electronic Engineering. According to data from OpenAlex, Ming‐Liang Wei has authored 51 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 14 papers in Fluid Flow and Transfer Processes and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Ming‐Liang Wei's work include Advanced Combustion Engine Technologies (14 papers), Catalytic Processes in Materials Science (13 papers) and Advanced Memory and Neural Computing (11 papers). Ming‐Liang Wei is often cited by papers focused on Advanced Combustion Engine Technologies (14 papers), Catalytic Processes in Materials Science (13 papers) and Advanced Memory and Neural Computing (11 papers). Ming‐Liang Wei collaborates with scholars based in China, Taiwan and United States. Ming‐Liang Wei's co-authors include Junheng Liu, Chenyang Fan, Ji Qian, Jiangjun Wei, Ping Sun, Suozhu Pan, Chenfang Wang, Chengjun He, Chi‐Kuang Sun and Keh-Chung Wang and has published in prestigious journals such as Energy Conversion and Management, Fuel and Energy.

In The Last Decade

Ming‐Liang Wei

42 papers receiving 431 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ming‐Liang Wei 166 137 127 118 85 51 445
Bin Hu 220 1.3× 220 1.6× 46 0.4× 74 0.6× 71 0.8× 42 446
Huang Yong 157 0.9× 142 1.0× 37 0.3× 41 0.3× 51 0.6× 41 440
Christoph Pieper 47 0.3× 157 1.1× 34 0.3× 42 0.4× 25 0.3× 26 447
Po‐Jen Cheng 21 0.1× 110 0.8× 129 1.0× 63 0.5× 26 0.3× 41 440
Yongqi Wang 70 0.4× 34 0.2× 202 1.6× 81 0.7× 131 1.5× 53 435
Jiyuan Zhang 84 0.5× 42 0.3× 84 0.7× 57 0.5× 35 0.4× 48 376
Bo Wang 212 1.3× 50 0.4× 42 0.3× 20 0.2× 36 0.4× 36 416
Jinglun Li 99 0.6× 106 0.8× 113 0.9× 82 0.7× 52 0.6× 27 401
Yaming Liu 24 0.1× 61 0.4× 202 1.6× 59 0.5× 48 0.6× 39 462
Rong Wei 45 0.3× 32 0.2× 60 0.5× 25 0.2× 23 0.3× 66 432

Countries citing papers authored by Ming‐Liang Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Liang Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Liang Wei. 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 Ming‐Liang Wei. The network helps show where Ming‐Liang Wei may publish in the future.

Co-authorship network of co-authors of Ming‐Liang Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Liang Wei. A scholar is included among the top collaborators of Ming‐Liang Wei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming‐Liang Wei. Ming‐Liang Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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