Dan‐Ni Yan

1.1k citations
30 papers · 901 · 1 hit paper · h-index 12

Impact in

Papers in

Dan‐Ni Yan

27 papers receiving 897 citations

Dan‐Ni Yan's Hit Papers

Perovskite Quantum Dots for the Next‐Generation Displays: Progress and Prospect 2024 · 79 citations
790+1Years since publication255075

Peers

Dan‐Ni Yan
Comparison fields: 5 of 80
  • Inorganic Chemistry 300
  • Organic Chemistry 526
  • Biomaterials 149
  • Materials Chemistry 513
  • Spectroscopy 183
Replace Bijnaneswar Mondal with:
Bijnaneswar Mondal India
Roy Lavendomme Belgium
Soumalya Bhattacharyya India
Tianyu Jiao China
Daniel Beaudoin Canada
Arnaud Tron France
Anthea K. Blackburn United States
Aaron M. Raynor Australia
Koushik Acharyya India
Daniel M. Wood United Kingdom
Dan‐Ni Yan relative to Bijnaneswar Mondal India Bijnaneswar Mondal's profile →
Citations per field
00.5×1.7×
Bijnaneswar Mondal · 1×
Citations per year

Countries citing papers authored by Dan‐Ni Yan

Since Specialization
Citations

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

Fields of papers citing papers by Dan‐Ni Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018274
2 2022142
3 202194
4 202187
5
Perovskite Quantum Dots for the Next‐Generation Displays: Progress and Prospect
Hit paper breakdown →
202479
6 202242
7 202042
8 202322
9 202319
10 202116
11 202313
12 202011
13 20228
14 20227
15 20227
16 20216
17 20245
18 20235
19 20234
20 20244

About Dan‐Ni Yan

Dan‐Ni Yan is a scholar working on Materials Chemistry, Organic Chemistry, Spectroscopy, Electrical and Electronic Engineering and Inorganic Chemistry, having authored 30 papers that have together received 901 indexed citations. Recurring topics across this work include Supramolecular Chemistry and Complexes (10 papers), Molecular Sensors and Ion Detection (6 papers), Metal-Organic Frameworks: Synthesis and Applications (6 papers), Quantum Dots Synthesis And Properties (5 papers), Perovskite Materials and Applications (5 papers), Magnetism in coordination complexes (4 papers), Supramolecular Self-Assembly in Materials (4 papers) and Polyoxometalates: Synthesis and Applications (4 papers). The work is most often cited by research in Inorganic Chemistry (300 citations), Organic Chemistry (526 citations), Biomaterials (149 citations), Materials Chemistry (513 citations) and Spectroscopy (183 citations). Dan‐Ni Yan has collaborated with scholars based in China, Montenegro and United States. Frequent co-authors include Li‐Peng Zhou, Qing‐Fu Sun, Li‐Xuan Cai, Shao‐Chuan Li, Pei‐Ming Cheng, Shao‐Jun Hu, Fang Guo, Xiaoqing Guo, Xiaozhen Li and Yuhui Dong. Their work appears in journals such as Journal of the American Chemical Society, Dalton Transactions, Angewandte Chemie International Edition, Organic Chemistry Frontiers and Frontiers in Psychiatry.

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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