Sungsoo Ahn

816 total citations
4 papers, 74 citations indexed

About

Sungsoo Ahn is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Sungsoo Ahn has authored 4 papers receiving a total of 74 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Computational Theory and Mathematics. Recurrent topics in Sungsoo Ahn's work include Imbalanced Data Classification Techniques (1 paper), Chemical Synthesis and Analysis (1 paper) and Bayesian Modeling and Causal Inference (1 paper). Sungsoo Ahn is often cited by papers focused on Imbalanced Data Classification Techniques (1 paper), Chemical Synthesis and Analysis (1 paper) and Bayesian Modeling and Causal Inference (1 paper). Sungsoo Ahn collaborates with scholars based in South Korea and United States. Sungsoo Ahn's co-authors include Jinwoo Shin, Jaeho Lee, Junsu Kim, Jaehyung Kim and Michael Chertkov and has published in prestigious journals such as Journal of Statistical Mechanics Theory and Experiment, Open Access System for Information Sharing (Pohang University of Science and Technology) and Neural Information Processing Systems.

In The Last Decade

Sungsoo Ahn

3 papers receiving 71 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sungsoo Ahn South Korea	2	60	29	7	4	3	4	74
Yafu Li China	6	77 1.3×	20 0.7×	4 0.6×		5 1.7×	17	108
Rohan Taori United States	3	29 0.5×	16 0.6×	6 0.9×	2 0.5×	3 1.0×	5	44
Yisong Xiao China	5	34 0.6×	25 0.9×	8 1.1×	1 0.3×	4 1.3×	10	59
Nishant Subramani United States	5	40 0.7×	16 0.6×	8 1.1×	2 0.5×		6	67
Eric Mitchell United States	5	49 0.8×	11 0.4×	4 0.6×	1 0.3×	3 1.0×	11	77
Divyansh Kaushik United States	4	80 1.3×	26 0.9×	3 0.4×	3 0.8×	11 3.7×	6	91
Nora Kassner Germany	3	116 1.9×	39 1.3×	3 0.4×	1 0.3×	4 1.3×	10	132
Fereshte Khani United States	5	41 0.7×	10 0.3×	2 0.3×	4 1.0×		7	59
Aldo Pacchiano United States	4	53 0.9×	10 0.3×	10 1.4×			19	66
Tom Kocmi Czechia	6	83 1.4×	30 1.0×	2 0.3×		2 0.7×	28	87

Countries citing papers authored by Sungsoo Ahn

Since Specialization

Citations

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

Fields of papers citing papers by Sungsoo Ahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungsoo Ahn

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

All Works

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4 of 4 papers shown

1.

Kim, Jaehyung, et al.. (2025). Improving Chemical Understanding of LLMs via SMILES Parsing. 15694–15709.

2.

Ahn, Sungsoo, et al.. (2020). Learning from Failure: De-biasing Classifier from Biased Classifier. Neural Information Processing Systems. 33. 20673–20684. 70 indexed citations

3.

Ahn, Sungsoo, et al.. (2020). Guiding Deep Molecular Optimization with Genetic Exploration. Open Access System for Information Sharing (Pohang University of Science and Technology). 33. 12008–12021. 3 indexed citations

4.

Ahn, Sungsoo, Michael Chertkov, & Jinwoo Shin. (2019). Gauging variational inference*. Journal of Statistical Mechanics Theory and Experiment. 2019(12). 124015–124015. 1 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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