Cher Tian Ser

4 papers receiving 469 citations

Hit Papers

Data-Driven Strategies for Accelerated Materials Design20212026202220242021202250100150200250

Peers

Cher Tian Ser
Comparison fields: 5 of 77
  • Materials Chemistry 288
  • Electrical and Electronic Engineering 121
  • Biomedical Engineering 91
  • Computational Theory and Mathematics 88
  • Molecular Biology 37
Replace Riley J. Hickman with:
Riley J. Hickman Canada
David Milsted United States
Bernardus Rendy United States
Jakob B. Wolf Germany
Max C. Gallant United States
Andrés Aguilar‐Granda Mexico
Cyrille Lavigne Canada
Daniil A. Boiko Russia
Oufan Zhang United States
Hermann Tribukait Switzerland
Cher Tian Ser relative to Riley J. Hickman Canada Riley J. Hickman's profile →
Citations per field
00.5×1.5×
Riley J. Hickman · 1×
Citations per year

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
#WorkIndexed citations
1 22
2
Autonomous Chemical Experiments: Challenges and Perspectives on Establishing a Self-Driving Labbreakdown →
154
3 4
4
Data-Driven Strategies for Accelerated Materials Designbreakdown →
299

About Cher Tian Ser

Cher Tian Ser is a scholar working on Information Systems and Management, Environmental Chemistry and Automotive Engineering, having authored 4 papers that have together received 479 indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (1 paper), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Materials Chemistry (288 citations), Computational Theory and Mathematics (88 citations) and Information Systems and Management (31 citations). Cher Tian Ser has collaborated with scholars based in Canada, Sweden and Japan. Frequent 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. Their work appears in journals such as Accounts of Chemical Research, ACS Applied Materials & Interfaces and Nature Machine Intelligence.

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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