Daniel Liang

1.3k citations
50 papers · 976 · h-index 17

Impact in

Papers in

    • Hydrogen Storage and Materials 6
    • Corrosion Behavior and Inhibition 5
    • Shape Memory Alloy Transformations 4
    • Advanced materials and composites 11
    • Aluminum Alloys Composites Properties 6

Daniel Liang

46 papers receiving 955 citations

Peers

Daniel Liang
Comparison fields: 5 of 69
  • Catalysis 170
  • Metals and Alloys 47
  • Mechanical Engineering 609
  • Energy Engineering and Power Technology 47
  • Materials Chemistry 598
Replace Bo Cheng with:
Bo Cheng China
I. Kunce Poland
Arvin Taghizadeh Tabrizi Iran
Dennis Karlsson Sweden
Isao Nakatsugawa Japan
Naixin Xu China
G.Y. Liang China
Michał Stępień Poland
Tae-Wook Na South Korea
Daniel Liang relative to Bo Cheng China Bo Cheng's profile →
Citations per field
00.5×4.6×
Bo Cheng · 1×
Citations per year

Countries citing papers authored by Daniel Liang

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201998
2 201581
3 200473
4 201162
5 201357
6 201152
7 201948
8 200848
9 201247
10 201944
11 201038
12 202232
13 202231
14 202126
15 201322
16 202117
17 202316
18 201015
19 202414
20 201714

About Daniel Liang

Daniel Liang is a scholar working on Materials Chemistry, Mechanical Engineering, Electrical and Electronic Engineering, Mechanics of Materials and Metals and Alloys, having authored 50 papers that have together received 976 indexed citations. Recurring topics across this work include Advanced materials and composites (11 papers), Hydrogen embrittlement and corrosion behaviors in metals (6 papers), Hydrogen Storage and Materials (6 papers), Aluminum Alloys Composites Properties (6 papers), Corrosion Behavior and Inhibition (5 papers), Metal and Thin Film Mechanics (5 papers), Shape Memory Alloy Transformations (4 papers) and Magnesium Alloys: Properties and Applications (4 papers). The work is most often cited by research in Catalysis (170 citations), Metals and Alloys (47 citations), Mechanical Engineering (609 citations), Energy Engineering and Power Technology (47 citations) and Materials Chemistry (598 citations). Daniel Liang has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Michael Kellam, Michael D. Dolan, Guangsheng Song, Ma Qian, Zengxi Pan, Huijun Li, Nazmul Alam, Wei Xu, K.G. McLennan and Song Guan. Their work appears in journals such as Journal of Membrane Science, Journal of Alloys and Compounds, Metallurgical and Materials Transactions A, Metallurgical and Materials Transactions B and Journal of Applied Crystallography.

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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