Qianxiang Ai

1.2k total citations
25 papers, 548 citations indexed

About

Qianxiang Ai is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Qianxiang Ai has authored 25 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 11 papers in Materials Chemistry and 7 papers in Organic Chemistry. Recurrent topics in Qianxiang Ai's work include Organic Electronics and Photovoltaics (9 papers), Machine Learning in Materials Science (6 papers) and Synthesis and Properties of Aromatic Compounds (5 papers). Qianxiang Ai is often cited by papers focused on Organic Electronics and Photovoltaics (9 papers), Machine Learning in Materials Science (6 papers) and Synthesis and Properties of Aromatic Compounds (5 papers). Qianxiang Ai collaborates with scholars based in United States, United Kingdom and Puerto Rico. Qianxiang Ai's co-authors include Chad Risko, John E. Anthony, Oana D. Jurchescu, Karol Jarolimek, Hu Chen, Iain McCulloch, Karl J. Thorley, Michael M. Haley, Sean Parkin and Christopher W. M. Kay and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Nature Communications.

In The Last Decade

Qianxiang Ai

25 papers receiving 546 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qianxiang Ai United States 12 299 232 136 112 60 25 548
Sandra Rodríguez‐González Spain 14 343 1.1× 214 0.9× 161 1.2× 138 1.2× 69 1.1× 23 517
Takuya Ogaki Japan 13 225 0.8× 207 0.9× 160 1.2× 87 0.8× 95 1.6× 38 552
Craig P. Yu Japan 13 285 1.0× 206 0.9× 128 0.9× 107 1.0× 92 1.5× 21 490
Shin Gohda Japan 15 322 1.1× 187 0.8× 204 1.5× 64 0.6× 52 0.9× 20 544
Subhadip Ghosh India 17 374 1.3× 465 2.0× 90 0.7× 75 0.7× 57 0.9× 48 679
Devin B. Granger United States 12 455 1.5× 374 1.6× 117 0.9× 83 0.7× 62 1.0× 14 642
Tamara Husch Switzerland 13 210 0.7× 182 0.8× 84 0.6× 47 0.4× 107 1.8× 17 528
Liqi Wang China 13 391 1.3× 407 1.8× 145 1.1× 44 0.4× 35 0.6× 29 672
He Lin China 10 367 1.2× 392 1.7× 76 0.6× 60 0.5× 45 0.8× 14 587
Zhiying Ma China 11 393 1.3× 287 1.2× 211 1.6× 156 1.4× 121 2.0× 41 688

Countries citing papers authored by Qianxiang Ai

Since Specialization
Citations

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

Fields of papers citing papers by Qianxiang Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qianxiang Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Qianxiang Ai. A scholar is included among the top collaborators of Qianxiang Ai 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 Qianxiang Ai. Qianxiang Ai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ai, Qianxiang, et al.. (2024). Extracting structured data from organic synthesis procedures using a fine-tuned large language model. Digital Discovery. 3(9). 1822–1831. 14 indexed citations
2.
Ai, Qianxiang, et al.. (2024). Schedule optimization for chemical library synthesis. Digital Discovery. 4(2). 486–499. 4 indexed citations
3.
Kim, Min A, Qianxiang Ai, Alexander J. Norquist, Joshua Schrier, & Emory M. Chan. (2024). Active Learning of Ligands That Enhance Perovskite Nanocrystal Luminescence. ACS Nano. 18(22). 14514–14522. 9 indexed citations
4.
Ai, Qianxiang, Brad P. Carrow, Arthur D. Tinoco, et al.. (2023). Thin‐Film Organic Heteroepitaxy. Advanced Materials. 35(35). e2302871–e2302871. 7 indexed citations
5.
Huang, Ling-yi, Qianxiang Ai, & Chad Risko. (2022). The role of crystal packing on the optical response of trialkyltetrelethynyl acenes. The Journal of Chemical Physics. 157(8). 84703–84703. 4 indexed citations
6.
Ai, Qianxiang, Alexander J. Norquist, & Joshua Schrier. (2022). Predicting compositional changes of organic–inorganic hybrid materials with Augmented CycleGAN. Digital Discovery. 1(3). 255–265. 3 indexed citations
7.
Bhat, Vinayak, et al.. (2022). Challenges in Information-Mining the Materials Literature: A Case Study and Perspective. Chemistry of Materials. 34(11). 4821–4827. 9 indexed citations
8.
Ai, Qianxiang, et al.. (2021). Predicting inorganic dimensionality in templated metal oxides. The Journal of Chemical Physics. 154(18). 184708–184708. 7 indexed citations
9.
Ai, Qianxiang, Karl J. Thorley, Hu Chen, et al.. (2021). Suppressing bias stress degradation in high performance solution processed organic transistors operating in air. Nature Communications. 12(1). 2352–2352. 77 indexed citations
10.
Ai, Qianxiang, et al.. (2021). Nanoribbons or weakly connected acenes? The influence of pyrene insertion on linearly extended ring systems. Journal of Materials Chemistry C. 9(47). 16929–16934. 4 indexed citations
11.
Mannes, Philip Z., Alexandre A. Pletnev, Devin B. Granger, et al.. (2020). Synthesis and electronic properties of a linearly fused anthracene dimer. Tetrahedron Letters. 61(31). 152182–152182. 1 indexed citations
12.
13.
Zeidell, Andrew M., Laura Jennings, Conerd K. Frederickson, et al.. (2019). Organic Semiconductors Derived from Dinaphtho-Fused s-Indacenes: How Molecular Structure and Film Morphology Influence Thin-Film Transistor Performance. Chemistry of Materials. 31(17). 6962–6970. 51 indexed citations
14.
Ai, Qianxiang, et al.. (2019). An unusually short intermolecular N—H...N hydrogen bond in crystals of the hemi-hydrochloride salt of 1-exo-acetamidopyrrolizidine. Acta Crystallographica Section E Crystallographic Communications. 76(1). 77–81. 1 indexed citations
15.
Petty, Anthony J., Qianxiang Ai, Hamna F. Haneef, et al.. (2019). Computationally aided design of a high-performance organic semiconductor: the development of a universal crystal engineering core. Chemical Science. 10(45). 10543–10549. 23 indexed citations
16.
Ai, Qianxiang, Sean M. Ryno, & Chad Risko. (2019). Organic Crystals in Electronic and Light-Oriented Technologies (OCELOT) Database v0.01. 1 indexed citations
17.
Burnett, Edmund K., Qianxiang Ai, Benjamin P. Cherniawski, et al.. (2019). Even–Odd Alkyl Chain-Length Alternation Regulates Oligothiophene Crystal Structure. Chemistry of Materials. 31(17). 6900–6907. 27 indexed citations
18.
Wanninayake, Namal, Qianxiang Ai, Ruixin Zhou, et al.. (2019). Understanding the effect of host structure of nitrogen doped ultrananocrystalline diamond electrode on electrochemical carbon dioxide reduction. Carbon. 157. 408–419. 55 indexed citations
19.
Ai, Qianxiang, Karol Jarolimek, Samuel M. Mazza, John E. Anthony, & Chad Risko. (2018). Delimited Polyacenes: Edge Topology as a Tool To Modulate Carbon Nanoribbon Structure, Conjugation, and Mobility. Chemistry of Materials. 30(3). 947–957. 23 indexed citations
20.
Wang, Yi, Qianxiang Ai, & Lu Jiang. (2015). RAFT radical copolymerization of beta‐pinene with maleic anhydride and aggregation behaviors of their copolymer in aqueous solution. Journal of Polymer Science Part A Polymer Chemistry. 53(12). 1422–1429. 5 indexed citations

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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