Dihua Dai

27 total papers · 1.7k total citations
20 papers, 1.5k citations indexed

About

Dihua Dai is a scholar working on Materials Chemistry, Organic Chemistry and Spectroscopy. According to data from OpenAlex, Dihua Dai has authored 20 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 8 papers in Organic Chemistry and 7 papers in Spectroscopy. Recurrent topics in Dihua Dai's work include Luminescence and Fluorescent Materials (10 papers), Supramolecular Chemistry and Complexes (8 papers) and Molecular Sensors and Ion Detection (7 papers). Dihua Dai is often cited by papers focused on Luminescence and Fluorescent Materials (10 papers), Supramolecular Chemistry and Complexes (8 papers) and Molecular Sensors and Ion Detection (7 papers). Dihua Dai collaborates with scholars based in China, United States and Hong Kong. Dihua Dai's co-authors include Ying‐Wei Yang, Jie Yang, Yan Wang, Jia‐Rui Wu, Lianjun Ma, Chunyu Wang, Zheng Li, Dongmei Zhang, Xi Zhang and Lesheng Teng and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Advanced Functional Materials.

In The Last Decade

Dihua Dai

20 papers receiving 1.5k citations

Hit Papers

Supramolecular Assembly-I... 2019 2026 2021 2023 2019 2022 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dihua Dai 945 498 408 403 373 20 1.5k
Angela B. Grommet 759 0.8× 732 1.5× 222 0.5× 387 1.0× 195 0.5× 19 1.4k
Liqing Shangguan 909 1.0× 1.0k 2.1× 564 1.4× 395 1.0× 228 0.6× 39 1.8k
X. -L. Hou 786 0.8× 604 1.2× 342 0.8× 308 0.8× 137 0.4× 25 1.3k
Corine Tourné‐Péteilh 832 0.9× 254 0.5× 342 0.8× 176 0.4× 297 0.8× 28 1.6k
Maximilian Dürr 812 0.9× 550 1.1× 138 0.3× 506 1.3× 170 0.5× 25 1.7k
Chenxing Guo 661 0.7× 551 1.1× 395 1.0× 195 0.5× 154 0.4× 37 1.1k
Kouta Sugikawa 1.1k 1.2× 387 0.8× 138 0.3× 525 1.3× 401 1.1× 67 1.8k
Basem Moosa 870 0.9× 534 1.1× 147 0.4× 386 1.0× 438 1.2× 63 1.7k
J. Fraser Stoddart 708 0.7× 705 1.4× 335 0.8× 659 1.6× 146 0.4× 21 1.6k
Nathalie Marcotte 904 1.0× 272 0.5× 614 1.5× 138 0.3× 253 0.7× 51 1.6k

Countries citing papers authored by Dihua Dai

Since Specialization
Citations

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

Fields of papers citing papers by Dihua Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dihua Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Dihua Dai. A scholar is included among the top collaborators of Dihua Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dihua Dai. Dihua Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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