Dan Liang

94 papers receiving 1.4k citations

Dan Liang's Hit Papers

Association between the triglyceride–glucose index and all-cause and CVD mortality in the young population with diabetes 2024 · 57 citations
570+1Years since publication1020304050

Peers

Dan Liang
Comparison fields: 5 of 140
  • Electronic, Optical and Magnetic Materials 298
  • Polymers and Plastics 169
  • Biomaterials 104
  • Catalysis 55
  • Electrical and Electronic Engineering 451
Replace Fagang Wang with:
Fagang Wang China
Yunwei Wang China
Dongna Liu China
Mohamed Ben Amor Tunisia
Yuan Dang China
Xiufeng Zhao China
Xiyan Liu China
Xueqin Zhao China
Mohammad Ghannadi Maragheh Iran
Dan Liang relative to Fagang Wang China Fagang Wang's profile →
Citations per field
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Fagang Wang · 1×
Citations per year

Countries citing papers authored by Dan Liang

Since Specialization
Citations

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

Fields of papers citing papers by Dan Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202285
2 202184
3 202069
4 202160
5
Association between the triglyceride–glucose index and all-cause and CVD mortality in the young population with diabetes
Hit paper breakdown →
202457
6 202256
7 202144
8 202342
9 202341
10 201140
11 200739
12 202438
13 202136
14 202334
15 202332
16 202432
17 202132
18 202231
19 200629
20 200826

About Dan Liang

Dan Liang is a scholar working on Molecular Biology, Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering and Electronic, Optical and Magnetic Materials, having authored 105 papers that have together received 1.4k indexed citations. Recurring topics across this work include Supercapacitor Materials and Fabrication (10 papers), Enhanced Oil Recovery Techniques (7 papers), Conducting polymers and applications (7 papers), Fuel Cells and Related Materials (7 papers), Hydrocarbon exploration and reservoir analysis (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Zeolite Catalysis and Synthesis (5 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (298 citations), Polymers and Plastics (169 citations), Biomaterials (104 citations), Catalysis (55 citations) and Electrical and Electronic Engineering (451 citations). Dan Liang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yinghe Cui, Zhipeng Yong, Chang Liu, Shuang Wang, Zhe Wang, Fengxiang Liu, Xiaodong Wang, Chenglong Li, Di Wang and Geng Liu. Their work appears in journals such as Scientific Reports, Cardiovascular Diabetology, Frontiers in Energy Research, International Journal of Hydrogen Energy and BMC Nephrology.

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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