Yiming Mo

2.2k total citations
53 papers, 1.6k citations indexed

About

Yiming Mo is a scholar working on Materials Chemistry, Biomedical Engineering and Organic Chemistry. According to data from OpenAlex, Yiming Mo has authored 53 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Materials Chemistry, 17 papers in Biomedical Engineering and 16 papers in Organic Chemistry. Recurrent topics in Yiming Mo's work include Innovative Microfluidic and Catalytic Techniques Innovation (15 papers), Machine Learning in Materials Science (10 papers) and Electrochemical Analysis and Applications (8 papers). Yiming Mo is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (15 papers), Machine Learning in Materials Science (10 papers) and Electrochemical Analysis and Applications (8 papers). Yiming Mo collaborates with scholars based in China, United States and New Zealand. Yiming Mo's co-authors include Klavs F. Jensen, Girish Rughoobur, Zhaohong Lu, Stephen L. Buchwald, Akintunde I. Akinwande, Prashant Patil, Neil Gershenfeld, Jun Lin, Timothy A. Cross and Ximin Zeng and has published in prestigious journals such as Science, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Yiming Mo

50 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Yiming Mo 455 447 431 393 256 53 1.6k
Ved Prakash Verma 877 1.9× 584 1.3× 201 0.5× 374 1.0× 80 0.3× 96 1.9k
Zhongyue Yang 1.1k 2.4× 333 0.7× 240 0.6× 705 1.8× 170 0.7× 96 2.5k
Luís Gustavo Dias 332 0.7× 327 0.7× 246 0.6× 361 0.9× 168 0.7× 63 1.4k
Israel Cabeza de Vaca 255 0.6× 334 0.7× 226 0.5× 502 1.3× 108 0.4× 18 1.6k
Brendan J. Howlin 590 1.3× 839 1.9× 181 0.4× 720 1.8× 151 0.6× 162 3.0k
Deliang Chen 417 0.9× 330 0.7× 251 0.6× 535 1.4× 65 0.3× 53 1.8k
Kaushik Chanda 1.6k 3.4× 628 1.4× 181 0.4× 452 1.2× 52 0.2× 121 2.8k
Yajie Wang 748 1.6× 307 0.7× 261 0.6× 1.5k 3.7× 78 0.3× 35 2.5k
Ting Shi 398 0.9× 647 1.4× 206 0.5× 911 2.3× 126 0.5× 122 2.6k

Countries citing papers authored by Yiming Mo

Since Specialization
Citations

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

Fields of papers citing papers by Yiming Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiming Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Yiming Mo. A scholar is included among the top collaborators of Yiming Mo 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 Yiming Mo. Yiming Mo 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.
2.
Xu, Ning, Yi-Xin Chen, Jian Zhang, et al.. (2024). An automatic end-to-end chemical synthesis development platform powered by large language models. Nature Communications. 15(1). 10160–10160. 36 indexed citations
3.
Gao, Yong, et al.. (2024). Scalable decarboxylative trifluoromethylation by ion-shielding heterogeneous photoelectrocatalysis. Science. 384(6696). 670–676. 52 indexed citations
4.
Cui, Jiyu, Fang Wu, Lifeng Yang, et al.. (2023). Direct prediction of gas adsorption via spatial atom interaction learning. Nature Communications. 14(1). 7043–7043. 30 indexed citations
5.
Zahrt, Andrew F., et al.. (2022). Machine-Learning-Guided Discovery of Electrochemical Reactions. Journal of the American Chemical Society. 144(49). 22599–22610. 43 indexed citations
6.
Nandiwale, Kakasaheb Y., Travis Hart, Andrew F. Zahrt, et al.. (2022). Continuous stirred-tank reactor cascade platform for self-optimization of reactions involving solids. Reaction Chemistry & Engineering. 7(6). 1315–1327. 36 indexed citations
7.
Pomberger, Alexander, Yiming Mo, Erhan İ. Altınoğlu, et al.. (2021). Photoredox Iridium–Nickel Dual Catalyzed Cross-Electrophile Coupling: From a Batch to a Continuous Stirred-Tank Reactor via an Automated Segmented Flow Reactor. Organic Process Research & Development. 25(10). 2323–2330. 18 indexed citations
8.
Lignos, Ioannis, et al.. (2021). A high-temperature continuous stirred-tank reactor cascade for the multistep synthesis of InP/ZnS quantum dots. Reaction Chemistry & Engineering. 6(3). 459–464. 22 indexed citations
9.
Zheng, Gao‐Wei, Heng Gong, Yiming Mo, et al.. (2021). Continuous-Flow Microreactor-Enhanced Clean NAD+ Regeneration for Biosynthesis of 7-Oxo-lithocholic Acid. ACS Sustainable Chemistry & Engineering. 10(1). 456–463. 21 indexed citations
10.
Mo, Yiming, et al.. (2020). A Multifunctional Microfluidic Platform for High‐Throughput Experimentation of Electroorganic Chemistry. Angewandte Chemie International Edition. 59(47). 20890–20894. 58 indexed citations
11.
Mo, Yiming, Zhaohong Lu, Girish Rughoobur, et al.. (2020). Microfluidic electrochemistry for single-electron transfer redox-neutral reactions. Science. 368(6497). 1352–1357. 255 indexed citations
12.
Wang, Xiaoxue, Yujie Qian, Hanyu Gao, et al.. (2020). Towards efficient discovery of green synthetic pathways with Monte Carlo tree search and reinforcement learning. Chemical Science. 11(40). 10959–10972. 48 indexed citations
13.
Mo, Yiming, Yanfei Guan, Pritha Verma, et al.. (2020). Evaluating and clustering retrosynthesis pathways with learned strategy. Chemical Science. 12(4). 1469–1478. 45 indexed citations
14.
Mo, Yiming, et al.. (2020). A Multifunctional Microfluidic Platform for High‐Throughput Experimentation of Electroorganic Chemistry. Angewandte Chemie. 132(47). 21076–21080. 8 indexed citations
15.
Nandiwale, Kakasaheb Y., Yiming Mo, Bo Jin, et al.. (2020). Continuous flow Suzuki–Miyaura couplings in water under micellar conditions in a CSTR cascade catalyzed by Fe/ppm Pd nanoparticles. Green Chemistry. 22(11). 3441–3444. 31 indexed citations
16.
Pomberger, Alexander, Yiming Mo, Kakasaheb Y. Nandiwale, et al.. (2019). A Continuous Stirred-Tank Reactor (CSTR) Cascade for Handling Solid-Containing Photochemical Reactions. Organic Process Research & Development. 23(12). 2699–2706. 81 indexed citations
17.
Mo, Yiming & Klavs F. Jensen. (2018). Continuous N‐Hydroxyphthalimide (NHPI)‐Mediated Electrochemical Aerobic Oxidation of Benzylic C−H Bonds. Chemistry - A European Journal. 24(40). 10260–10265. 61 indexed citations
18.
Giri, Gaurav, Yang Lu, Yiming Mo, & Klavs F. Jensen. (2018). Adding Crystals To Minimize Clogging in Continuous Flow Synthesis. Crystal Growth & Design. 19(1). 98–105. 18 indexed citations
19.
Mo, Yiming, Joseph Imbrogno, Haomiao Zhang, & Klavs F. Jensen. (2018). Scalable thin-layer membrane reactor for heterogeneous and homogeneous catalytic gas–liquid reactions. Green Chemistry. 20(16). 3867–3874. 22 indexed citations
20.
Mo, Yiming & Klavs F. Jensen. (2016). A miniature CSTR cascade for continuous flow of reactions containing solids. Reaction Chemistry & Engineering. 1(5). 501–507. 76 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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