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h5 指数:53
h5 中位数:107

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#7 Bioinformatics & Computational Biology

标题/作者	引用次数	年份
Efficient learning of non-autoregressive graph variational autoencoders for molecular graph generation Y Kwon, J Yoo, YS Choi, WJ Son, D Lee, S Kang Journal of Cheminformatics 11 (1), 1-10	1096	2019
Mordred: a molecular descriptor calculator H Moriwaki, YS Tian, N Kawashita, T Takagi Journal of Cheminformatics 10 (1), 1-14	593	2018
ADMETlab: a platform for systematic ADMET evaluation based on a comprehensively collected ADMET database J Dong, NN Wang, ZJ Yao, L Zhang, Y Cheng, D Ouyang, AP Lu, DS Cao Journal of Cheminformatics 10, 1-11	441	2018
OPERA models for predicting physicochemical properties and environmental fate endpoints K Mansouri, CM Grulke, RS Judson, AJ Williams Journal of Cheminformatics 10 (1), 1-19	294	2018
Multi-objective de novo drug design with conditional graph generative model Y Li, L Zhang, Z Liu Journal of Cheminformatics 10, 1-24	292	2018
BioTransformer: a comprehensive computational tool for small molecule metabolism prediction and metabolite identification Y Djoumbou-Feunang, J Fiamoncini, A Gil-de-la-Fuente, R Greiner, ... Journal of Cheminformatics 11 (1), 1-25	287	2019
Molecular generative model based on conditional variational autoencoder for de novo molecular design J Lim, S Ryu, JW Kim, WY Kim Journal of Cheminformatics 10 (1), 1-9	287	2018
Review on natural products databases: where to find data in 2020 M Sorokina, C Steinbeck Journal of Cheminformatics 12 (1), 20	267	2020
Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models D Jiang, Z Wu, CY Hsieh, G Chen, B Liao, Z Wang, C Shen, D Cao, J Wu, ... Journal of Cheminformatics 13 (1), 1-23	243	2021
Molecular representations in AI-driven drug discovery: a review and practical guide L David, A Thakkar, R Mercado, O Engkvist Journal of Cheminformatics 12 (1), 1-22	236	2020
A de novo molecular generation method using latent vector based generative adversarial network O Prykhodko, SV Johansson, PC Kotsias, J Arús-Pous, EJ Bjerrum, ... Journal of Cheminformatics 11 (1), 1-13	216	2019
P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure R Krivák, D Hoksza Journal of Cheminformatics 10, 1-12	198	2018
A review of computational drug repositioning: strategies, approaches, opportunities, challenges, and directions TN Jarada, JG Rokne, R Alhajj Journal of Cheminformatics 12 (1), 1-23	197	2020
Randomized SMILES strings improve the quality of molecular generative models J Arús-Pous, SV Johansson, O Prykhodko, EJ Bjerrum, C Tyrchan, ... Journal of Cheminformatics 11 (1), 1-13	193	2019
COCONUT online: Collection of Open Natural Products database M Sorokina, P Merseburger, K Rajan, MA Yirik, C Steinbeck Journal of Cheminformatics 13 (1), 1-13	193	2021
DockRMSD: an open-source tool for atom mapping and RMSD calculation of symmetric molecules through graph isomorphism EW Bell, Y Zhang Journal of Cheminformatics 11 (1), 1-9	181	2019
Mol-CycleGAN: a generative model for molecular optimization Ł Maziarka, A Pocha, J Kaczmarczyk, K Rataj, T Danel, M Warchoł Journal of Cheminformatics 12 (1), 1-18	167	2020
Visualization of very large high-dimensional data sets as minimum spanning trees D Probst, JL Reymond Journal of Cheminformatics 12 (1), 1-13	157	2020
One molecular fingerprint to rule them all: drugs, biomolecules, and the metabolome A Capecchi, D Probst, JL Reymond Journal of Cheminformatics 12 (1), 1-15	156	2020
Using SMILES strings for the description of chemical connectivity in the Crystallography Open Database M Quirós, S Gražulis, S Girdzijauskaitė, A Merkys, A Vaitkus Journal of Cheminformatics 10 (1), 1-17	137	2018

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