Kangjie Lin

435 total citations
5 papers, 242 citations indexed

About

Kangjie Lin is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Kangjie Lin has authored 5 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 3 papers in Materials Chemistry. Recurrent topics in Kangjie Lin's work include Computational Drug Discovery Methods (3 papers), Machine Learning in Materials Science (3 papers) and Protein Structure and Dynamics (2 papers). Kangjie Lin is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Machine Learning in Materials Science (3 papers) and Protein Structure and Dynamics (2 papers). Kangjie Lin collaborates with scholars based in China, India and United States. Kangjie Lin's co-authors include Luhua Lai, Jianfeng Pei, Youjun Xu, Shiwei Wang, Lei Wang, Chen Song, Zihan Wang, Yu-Jiun Lin, Guilan Kong and Jingyi Wu and has published in prestigious journals such as Chemical Science, Journal of Chemical Information and Modeling and Future Medicinal Chemistry.

In The Last Decade

Kangjie Lin

4 papers receiving 226 citations

Peers

Kangjie Lin
Arkadii Lin France
Edvard Lindelöf Sweden
Łukasz Maziarka Poland
David Kreutter Switzerland
Veronika Chadimová Sweden
James Law United Kingdom
Jens A. Fuchs Switzerland
Chengyun Zhang China
Gustavo E. Vázquez Argentina
Daniel Wigh United Kingdom
Arkadii Lin France
Kangjie Lin
Citations per year, relative to Kangjie Lin Kangjie Lin (= 1×) peers Arkadii Lin

Countries citing papers authored by Kangjie Lin

Since Specialization
Citations

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

Fields of papers citing papers by Kangjie Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangjie Lin

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

All Works

5 of 5 papers shown
1.
Wang, Zihan, Kangjie Lin, Jianfeng Pei, & Luhua Lai. (2024). Reacon: a template- and cluster-based framework for reaction condition prediction. Chemical Science. 16(2). 854–866. 4 indexed citations
2.
Lin, Kangjie, et al.. (2024). Challenging Complexity with Simplicity: Rethinking the Role of Single-Step Models in Computer-Aided Synthesis Planning. Journal of Chemical Information and Modeling. 64(14). 5470–5479. 2 indexed citations
3.
Wu, Jingyi, et al.. (2021). [Predicting prolonged length of intensive care unit stay via machine learning].. PubMed. 53(6). 1163–1170.
4.
Lin, Kangjie, Youjun Xu, Jianfeng Pei, & Luhua Lai. (2020). Automatic retrosynthetic route planning using template-free models. Chemical Science. 11(12). 3355–3364. 145 indexed citations
5.
Xu, Youjun, Kangjie Lin, Shiwei Wang, et al.. (2019). Deep Learning for Molecular Generation. Future Medicinal Chemistry. 11(6). 567–597. 91 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Arkadii Lin Breakdown of academic impact, for papers by Edvard Lindelöf Breakdown of academic impact, for papers by Łukasz Maziarka Breakdown of academic impact, for papers by David Kreutter Breakdown of academic impact, for papers by Veronika Chadimová Breakdown of academic impact, for papers by James Law Breakdown of academic impact, for papers by Jens A. Fuchs Breakdown of academic impact, for papers by Chengyun Zhang Breakdown of academic impact, for papers by Gustavo E. Vázquez Breakdown of academic impact, for papers by Daniel Wigh
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2026