Chaofeng Lou

1.7k total citations · 2 hit papers
11 papers, 1.2k citations indexed

About

Chaofeng Lou is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy. According to data from OpenAlex, Chaofeng Lou has authored 11 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 7 papers in Molecular Biology and 4 papers in Spectroscopy. Recurrent topics in Chaofeng Lou's work include Computational Drug Discovery Methods (10 papers), Analytical Chemistry and Chromatography (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Chaofeng Lou is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Analytical Chemistry and Chromatography (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Chaofeng Lou collaborates with scholars based in China. Chaofeng Lou's co-authors include Weihua Li, Guixia Liu, Hongbin Yang, Lixia Sun, Yingchun Cai, Yun Tang, Zhuang Wang, Jie Li, Yun Tang and Yimeng Wang and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Chemical Research in Toxicology.

In The Last Decade

Chaofeng Lou

11 papers receiving 1.1k citations

Hit Papers

admetSAR 2.0: web-service for prediction and optimization... 2018 2026 2020 2023 2018 2024 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaofeng Lou China 9 559 472 263 155 117 11 1.2k
Malgorzata N. Drwal Germany 13 542 1.0× 510 1.1× 253 1.0× 118 0.8× 141 1.2× 18 1.1k
Yun Tang China 4 442 0.8× 384 0.8× 246 0.9× 140 0.9× 96 0.8× 4 974
Yunierkis Pérez‐Castillo Ecuador 22 475 0.8× 668 1.4× 297 1.1× 93 0.6× 190 1.6× 84 1.5k
Isabella Alvim Guedes Brazil 14 575 1.0× 619 1.3× 292 1.1× 77 0.5× 198 1.7× 29 1.2k
Alexander V. Dmitriev Russia 20 505 0.9× 511 1.1× 203 0.8× 303 2.0× 126 1.1× 72 1.2k
Max K. Leong Taiwan 21 286 0.5× 436 0.9× 195 0.7× 131 0.8× 112 1.0× 40 1.2k
Nataraj Sekhar Pagadala Canada 7 457 0.8× 617 1.3× 191 0.7× 85 0.5× 150 1.3× 16 1.1k
Sarah Naomi Bolz Germany 8 300 0.5× 757 1.6× 249 0.9× 98 0.6× 146 1.2× 12 1.4k
D.S. Druzhilovskiy Russia 14 298 0.5× 368 0.8× 247 0.9× 102 0.7× 134 1.1× 31 777
Jayaraman Muthukumaran India 19 323 0.6× 484 1.0× 273 1.0× 98 0.6× 100 0.9× 84 1.1k

Countries citing papers authored by Chaofeng Lou

Since Specialization
Citations

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

Fields of papers citing papers by Chaofeng Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaofeng Lou

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

All Works

11 of 11 papers shown
1.
Duan, Hao, et al.. (2024). In Silicoprediction of inhibitors for multiple transporters via machine learning methods. Molecular Informatics. 43(3). 1 indexed citations
2.
Wang, Yimeng, Chaofeng Lou, Chen Yang, et al.. (2024). admetSAR3.0: a comprehensive platform for exploration, prediction and optimization of chemical ADMET properties. Nucleic Acids Research. 52(W1). W432–W438. 59 indexed citations breakdown →
3.
Zhu, Keyun, Yimeng Wang, Chaofeng Lou, et al.. (2023). In Silico Prediction of Metabolic Reaction Catalyzed by Human Aldehyde Oxidase. Metabolites. 13(3). 449–449. 2 indexed citations
4.
Lou, Chaofeng, Hongbin Yang, Weihua Li, et al.. (2023). Chemical rules for optimization of chemical mutagenicity via matched molecular pairs analysis and machine learning methods. Journal of Cheminformatics. 15(1). 35–35. 8 indexed citations
5.
Lou, Chaofeng, Hongbin Yang, Weihua Li, et al.. (2022). IDL-PPBopt: A Strategy for Prediction and Optimization of Human Plasma Protein Binding of Compounds via an Interpretable Deep Learning Method. Journal of Chemical Information and Modeling. 62(11). 2788–2799. 13 indexed citations
6.
Wang, Yimeng, Chaofeng Lou, Zengrui Wu, et al.. (2022). A multitask GNN-based interpretable model for discovery of selective JAK inhibitors. Journal of Cheminformatics. 14(1). 16–16. 14 indexed citations
7.
Lou, Chaofeng, et al.. (2022). Prediction of anti-inflammatory peptides by a sequence-based stacking ensemble model named AIPStack. iScience. 25(9). 104967–104967. 25 indexed citations
8.
Lou, Chaofeng, Zengrui Wu, Weihua Li, et al.. (2022). In silico prediction of UGT-mediated metabolism in drug-like molecules via graph neural network. Journal of Cheminformatics. 14(1). 46–46. 11 indexed citations
9.
Lou, Chaofeng, et al.. (2022). Profiling prediction of nuclear receptor modulators with multi-task deep learning methods: toward the virtual screening. Briefings in Bioinformatics. 23(5). 12 indexed citations
10.
Yang, Hongbin, Chaofeng Lou, Weihua Li, Guixia Liu, & Yun Tang. (2020). Computational Approaches to Identify Structural Alerts and Their Applications in Environmental Toxicology and Drug Discovery. Chemical Research in Toxicology. 33(6). 1312–1322. 60 indexed citations
11.
Yang, Hongbin, Chaofeng Lou, Lixia Sun, et al.. (2018). admetSAR 2.0: web-service for prediction and optimization of chemical ADMET properties. Bioinformatics. 35(6). 1067–1069. 955 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026