Ai‐Di Qi

1.2k citations
37 papers · 1.1k · h-index 19

Impact in

    • Molecular Sensors and Ion Detection
  • Biomaterials top 10%
    • Supramolecular Self-Assembly in Materials
    • Nanoparticle-Based Drug Delivery

Papers in

Ai‐Di Qi

37 papers receiving 1.1k citations

Peers

Ai‐Di Qi
Comparison fields: 5 of 88
  • Spectroscopy 274
  • Biomaterials 181
  • Materials Chemistry 549
  • Inorganic Chemistry 156
  • Pharmaceutical Science 65
Replace Yongmin Zhang with:
Yongmin Zhang France
Sławomir Kaźmierski Poland
Gerhard Laus Austria
Piotr Cmoch Poland
Xiali Liao China
Yibing Ji China
Wenwen Ma China
Jesús F. Arteaga Spain
Rachid Baati France
Ai‐Di Qi relative to Yongmin Zhang France Yongmin Zhang's profile →
Citations per field
00.5×2×2.6×
Yongmin Zhang · 1×
Citations per year

Countries citing papers authored by Ai‐Di Qi

Since Specialization
Citations

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

Fields of papers citing papers by Ai‐Di Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ai‐Di Qi. 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 Ai‐Di Qi. The network helps show where Ai‐Di Qi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010155
2 201498
3 201388
4 201070
5 201568
6 201467
7 201362
8 201151
9 201242
10 201141
11 201237
12 201137
13 201636
14 201533
15 201631
16 201230
17 199730
18 201120
19 201118
20 201518

About Ai‐Di Qi

Ai‐Di Qi is a scholar working on Molecular Biology, Spectroscopy, Materials Chemistry, Organic Chemistry and Pharmacology, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Molecular Sensors and Ion Detection (6 papers), Chromatography in Natural Products (5 papers), Analytical Chemistry and Chromatography (4 papers), Traditional Chinese Medicine Analysis (4 papers), Luminescence and Fluorescent Materials (4 papers), Supramolecular Chemistry and Complexes (3 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers) and Covalent Organic Framework Applications (3 papers). The work is most often cited by research in Spectroscopy (274 citations), Biomaterials (181 citations), Materials Chemistry (549 citations), Inorganic Chemistry (156 citations) and Pharmaceutical Science (65 citations). Ai‐Di Qi has collaborated with scholars based in China and Spain. Frequent co-authors include Xilong Qiu, Bao‐Hang Han, Qi Chen, Ning Bian, Ying‐Wei Yang, Qinglan Li, Yue Zhou, Xiaoliang Ren, Chun Cao and Yanchao Zhao. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Chemical Communications, Chinese Journal of Chemistry, Journal of Food and Drug Analysis and Journal of Asian Natural Products Research.

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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