Kevin Yang

5.0k total citations · 2 hit papers
14 papers, 2.6k citations indexed

About

Kevin Yang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Kevin Yang has authored 14 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 4 papers in Materials Chemistry. Recurrent topics in Kevin Yang's work include Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (4 papers) and Chemical Synthesis and Analysis (2 papers). Kevin Yang is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (4 papers) and Chemical Synthesis and Analysis (2 papers). Kevin Yang collaborates with scholars based in United States, Germany and Netherlands. Kevin Yang's co-authors include Regina Barzilay, Tommi Jaakkola, Wengong Jin, Kyle Swanson, Angel Guzmán-Pérez, Miriam Mathea, Hua Gao, Klavs F. Jensen, Andrew Palmer and Connor W. Coley and has published in prestigious journals such as Cell, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Kevin Yang

12 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Deep Learning Approach to Antibiotic Discovery

2020 1.3k citations Jonathan Stokes, Kevin Yang et al. Cell profile →
Analyzing Learned Molecular Representations for Property Prediction

2019 1.1k citations Kevin Yang, Kyle Swanson et al. Journal of Chemical Information and Modeling profile →

Peers

Kevin Yang

CTM

MB

MC

BE

AI

Kyle Swanson United States

Wengong Jin United States

Jessica Vamathevan United Kingdom

Michaela Spitzer United Kingdom

Andrés Cubillos-Ruiz United States

Emma J. Chory United States

Anush Chiappino-Pepe United States

Ian W. Andrews United States

Zohar Bloom‐Ackermann Israel

Paul Czodrowski Germany

Kyle Swanson United States

Kevin Yang

1.5k ×1.1

CTM

1.5k ×1.2

MB

1.1k ×1.0

MC

228 ×0.9

BE

479 ×2.0

AI

Citations per year, relative to Kevin Yang Kevin Yang (= 1×) peers Kyle Swanson

Countries citing papers authored by Kevin Yang

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Yang

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

1.

Yang, Kevin, et al.. (2026). Thermodynamic stability and kinetic control of capsid morphologies in hepatitis B virus. The Journal of Chemical Physics. 164(1).

2.

Lu, Amy X., Wilson Yan, Kevin Yang, et al.. (2025). Tokenized and continuous embedding compressions of protein sequence and structure. Patterns. 6(6). 101289–101289.

3.

Marinac‐Dabic, Danica, Frederic S. Resnic, Kevin Yang, et al.. (2024). A Comprehensive Framework for Evaluating the Value Created by Real-World Evidence for Diverse Stakeholders: The Case for Coordinated Registry Networks. Therapeutic Innovation & Regulatory Science. 58(6). 1042–1052. 4 indexed citations

4.

Moshkov, Nikita, Tim Becker, Kevin Yang, et al.. (2023). Predicting compound activity from phenotypic profiles and chemical structures. Nature Communications. 14(1). 1967–1967. 40 indexed citations

5.

Yang, Kevin, et al.. (2022). Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation. Findings of the Association for Computational Linguistics: ACL 2022. 3685–3695. 6 indexed citations

6.

Wallace, Eric, et al.. (2022). Automated Crossword Solving. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 3 indexed citations

7.

Yang, Kevin, et al.. (2021). Implementation of a Hierarchical Embedded Cyber Attack Detection system for sUAS Flight Control Systems. AIAA Scitech 2021 Forum. 1 indexed citations

8.

Stokes, Jonathan, Kevin Yang, Kyle Swanson, et al.. (2020). A Deep Learning Approach to Antibiotic Discovery. Cell. 180(4). 688–702.e13. 1298 indexed citations breakdown →

9.

Grambow, Colin A., et al.. (2020). chemprop-reaction: Release version 1.1.0. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

10.

Yang, Kevin, Wengong Jin, Kyle Swanson, Regina Barzilay, & Tommi Jaakkola. (2020). Improving Molecular Design by Stochastic Iterative Target Augmentation. ChemRxiv. 4 indexed citations

11.

Yang, Kevin, Kyle Swanson, Wengong Jin, et al.. (2019). Correction to Analyzing Learned Molecular Representations for Property Prediction. Journal of Chemical Information and Modeling. 59(12). 5304–5305. 25 indexed citations

12.

Yang, Kevin, Kyle Swanson, Wengong Jin, et al.. (2019). Analyzing Learned Molecular Representations for Property Prediction. Journal of Chemical Information and Modeling. 59(8). 3370–3388. 1081 indexed citations breakdown →

13.

Jin, Wengong, Kevin Yang, Regina Barzilay, & Tommi Jaakkola. (2018). Learning Multimodal Graph-to-Graph Translation for Molecule Optimization.. arXiv (Cornell University). 15 indexed citations

14.

Zang, Ru, et al.. (2012). Three-dimensional fibrous scaffolds with microstructures and nanotextures for tissue engineering. RSC Advances. 2(27). 10110–10110. 113 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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