Cher Tian Ser

733 total citations · 2 hit papers
4 papers, 479 citations indexed

About

Cher Tian Ser is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Automotive Engineering. According to data from OpenAlex, Cher Tian Ser has authored 4 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Electrical and Electronic Engineering, 2 papers in Materials Chemistry and 1 paper in Automotive Engineering. Recurrent topics in Cher Tian Ser's work include Organic Electronics and Photovoltaics (1 paper), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper) and Computational Drug Discovery Methods (1 paper). Cher Tian Ser is often cited by papers focused on Organic Electronics and Photovoltaics (1 paper), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper) and Computational Drug Discovery Methods (1 paper). Cher Tian Ser collaborates with scholars based in Canada, Sweden and Japan. Cher Tian Ser's co-authors include Alán Aspuru‐Guzik, Robert Pollice, AkshatKumar Nigam, Mario Krenn, Zhenpeng Yao, Cyrille Lavigne, Matteo Aldeghi, Gabriel dos Passos Gomes, Riley J. Hickman and Andrés Aguilar‐Granda and has published in prestigious journals such as Accounts of Chemical Research, ACS Applied Materials & Interfaces and Nature Machine Intelligence.

In The Last Decade

Cher Tian Ser

4 papers receiving 469 citations

Hit Papers

Data-Driven Strategies for Accelerated Materials Design 2021 2026 2022 2024 2021 2022 50 100 150 200 250

Peers

Cher Tian Ser
Sterling G. Baird United States
Max C. Gallant United States
David Milsted United States
Bernardus Rendy United States
Gary Tom Canada
Marcus Schwarting United States
Kobi Felton United Kingdom
Sterling G. Baird United States
Cher Tian Ser
Citations per year, relative to Cher Tian Ser Cher Tian Ser (= 1×) peers Sterling G. Baird

Countries citing papers authored by Cher Tian Ser

Since Specialization
Citations

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

Fields of papers citing papers by Cher Tian Ser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cher Tian Ser. 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 Cher Tian Ser. The network helps show where Cher Tian Ser may publish in the future.

Co-authorship network of co-authors of Cher Tian Ser

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

All Works

4 of 4 papers shown
1.
Valverde, Danillo, Cher Tian Ser, Gaetano Ricci, et al.. (2024). Computational Investigations of the Detailed Mechanism of Reverse Intersystem Crossing in Inverted Singlet–Triplet Gap Molecules. ACS Applied Materials & Interfaces. 16(49). 66991–67001. 22 indexed citations
2.
Seifrid, Martin, Robert Pollice, Andrés Aguilar‐Granda, et al.. (2022). Autonomous Chemical Experiments: Challenges and Perspectives on Establishing a Self-Driving Lab. Accounts of Chemical Research. 55(17). 2454–2466. 154 indexed citations breakdown →
3.
Cao, Yang, et al.. (2022). Reinforcement learning supercharges redox flow batteries. Nature Machine Intelligence. 4(8). 667–668. 4 indexed citations
4.
Pollice, Robert, Gabriel dos Passos Gomes, Matteo Aldeghi, et al.. (2021). Data-Driven Strategies for Accelerated Materials Design. Accounts of Chemical Research. 54(4). 849–860. 299 indexed citations breakdown →

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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