Dan Qian

2.8k citations
37 papers · 2.5k indexed · 3 hit papers · h-index 18

Dan Qian

34 papers receiving 2.5k citations

Hit Papers

Atomistic insights into t...1772010202620152020250500750

Peers

Dan Qian
Comparison fields: 5 of 85
  • Process Chemistry and Technology 110
  • Mechanical Engineering 1.4k
  • Inorganic Chemistry 487
  • Molecular Medicine 129
  • Materials Chemistry 1.1k
Replace Meiling Guo with:
Meiling Guo China
Aitor Larrañaga Spain
Ying Zhu China
Jun Xia China
Yingchao Yang United States
Hongtao Cui China
Jiguang Zhang China
Zhen Wang China
Fernando Rubio‐Marcos Spain
Frans H.J. Maurer Sweden
Dan Qian relative to Meiling Guo China Meiling Guo's profile →
Citations per field
00.5×5.2×
Meiling Guo · 1×
Citations per year

Countries citing papers authored by Dan Qian

Since Specialization
Citations

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

Fields of papers citing papers by Dan Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20250
4 20253
5 20254
6 202337
7 202319
8 20230
9 202130
10 202041
11 201943
12 20198
13 2018203
14 201730
15 20162
16 201525
17 201484
18 2013121
19 20131
20
Rapid Synthesis of Nitrogen‐Doped Porous Carbon Monolith for CO2 Capturebreakdown →
2010783

About Dan Qian

Dan Qian is a scholar working on Process Chemistry and Technology, Mechanical Engineering, Catalysis, Molecular Medicine and Renewable Energy, Sustainability and the Environment, having authored 37 papers that have together received 2.5k indexed citations. Recurring topics across this work include High Entropy Alloys Studies (10 papers), Additive Manufacturing Materials and Processes (7 papers), High-Temperature Coating Behaviors (6 papers), Metal and Thin Film Mechanics (6 papers), Covalent Organic Framework Applications (5 papers), Carbon Dioxide Capture Technologies (5 papers), Membrane Separation and Gas Transport (4 papers) and Copper Interconnects and Reliability (4 papers). The work is most often cited by research in Process Chemistry and Technology (110 citations), Mechanical Engineering (1.4k citations), Inorganic Chemistry (487 citations), Molecular Medicine (129 citations) and Materials Chemistry (1.1k citations). Dan Qian has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Wen‐Cui Li, An‐Hui Lu, Guang‐Ping Hao, Xiu‐Li Wang, Fei Song, Yu‐Zhong Wang, Ferdi Schüth, Aiqin Wang, Guanghui Wang and Weiping Zhang. Their work appears in journals such as ACS Applied Materials & Interfaces, Scientific Reports, Journal of Materials Research and Technology, Advanced Functional Materials and Applied Physics Letters.

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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