| Prediction of liquid chromatographic retention time with graph neural networks to assist in small molecule identification Q Yang, H Ji, H Lu, Z Zhang Analytical Chemistry 93 (4), 2200-2206, 2021 | 79 | 2021 |
| Predicting a molecular fingerprint from an electron ionization mass spectrum with deep neural networks H Ji, H Deng, H Lu, Z Zhang Analytical chemistry 92 (13), 8649-8653, 2020 | 77 | 2020 |
| Exploring metabolic syndrome serum profiling based on gas chromatography mass spectrometry and random forest models Z Lin, CMV Gonçalves, L Dai, H Lu, J Huang, H Ji, D Wang, L Yi, Y Liang Analytica chimica acta 827, 22-27, 2014 | 72 | 2014 |
| Deep MS/MS-aided structural-similarity scoring for unknown metabolite identification H Ji, Y Xu, H Lu, Z Zhang Analytical chemistry 91 (9), 5629-5637, 2019 | 55 | 2019 |
| The role of graphene coating on cordierite-supported Pd monolithic catalysts for low-temperature combustion of toluene W Li, H Ye, G Liu, H Ji, Y Zhou, K Han Chinese Journal of Catalysis 39 (5), 946-954, 2018 | 32 | 2018 |
| KPIC2: an effective framework for mass spectrometry-based metabolomics using pure ion chromatograms H Ji, F Zeng, Y Xu, H Lu, Z Zhang Analytical chemistry 89 (14), 7631-7640, 2017 | 29 | 2017 |
| UPLC-ESI-IT-TOF-MS metabolomic study of the therapeutic effect of Xuefu Zhuyu decoction on rats with traumatic brain injury C Fu, Q Wu, Z Zhang, Z Xia, H Ji, H Lu, Y Wang Journal of ethnopharmacology 245, 112149, 2019 | 26 | 2019 |
| Retention time prediction in hydrophilic interaction liquid chromatography with graph neural network and transfer learning Q Yang, H Ji, X Fan, Z Zhang, H Lu Journal of Chromatography A 1656, 462536, 2021 | 20 | 2021 |
| Enhancing coverage in LC–MS-based untargeted metabolomics by a new sample preparation procedure using mixed-mode solid-phase extraction and two derivatizations Q Wu, Y Xu, H Ji, Y Wang, Z Zhang, H Lu Analytical and bioanalytical chemistry 411, 6189-6202, 2019 | 18 | 2019 |
| GC-MS profiling of leukemia cells: an optimized preparation protocol for the intracellular metabolome Y He, ZM Zhang, P Ma, HC Ji, HM Lu Analytical methods 10 (10), 1266-1274, 2018 | 13 | 2018 |
| Ultra-fast and accurate electron ionization mass spectrum matching for compound identification with million-scale in-silico library Q Yang, H Ji, Z Xu, Y Li, P Wang, J Sun, X Fan, H Zhang, H Lu, Z Zhang Nature Communications 14 (1), 3722, 2023 | 12 | 2023 |
| Pure ion chromatogram extraction via optimal k-means clustering H Ji, H Lu, Z Zhang RSC advances 6 (62), 56977-56985, 2016 | 11 | 2016 |
| Feature Extraction for LC–MS via Hierarchical Density Clustering H Zhu, Y Chen, C Liu, R Wang, G Zhao, B Hu, H Ji, ZM Zhang, H Lu Chromatographia 82, 1449-1457, 2019 | 6 | 2019 |
| TarMet: a reactive GUI tool for efficient and confident quantification of MS based targeted metabolic and stable isotope tracer analysis H Ji, Z Zhang, H Lu Metabolomics 14, 1-5, 2018 | 5 | 2018 |
| Deep learning enable untargeted metabolite extraction from high throughput coverage data-independent acquisition H Ji, H Lu, Z Zhang bioRxiv, 2020.03. 22.002683, 2020 | 3 | 2020 |
| Metabolic profiling putatively identifies plasma biomarkers of male infertility using UPLC-ESI-IT-TOFMS FJ Zeng, HC Ji, ZM Zhang, JK Luo, HM Lu, Y Wang RSC advances 8 (46), 25974-25982, 2018 | 3 | 2018 |
| Deep denoising autoencoder-assisted continuous scoring of peak quality in high-resolution LC− MS data H Ji, J Tian Chemometrics and Intelligent Laboratory Systems 231, 104694, 2022 | 2 | 2022 |
| Early detection of dark-affected plant mechanical responses using enhanced electrical signals H Li, N Fotouhi, F Liu, H Ji, Q Wu Plant Methods 20 (1), 49, 2024 | | 2024 |
| RT-Transformer: Retention time prediction for metabolite annotation to assist in metabolite identification J Xue, B Wang, H Ji, WH Li Bioinformatics, btae084, 2024 | | 2024 |
| A Comprehensive Comparative Analysis of Deep Learning Based Feature Representations for Molecular Taste Prediction Y Song, S Chang, J Tian, W Pan, L Feng, H Ji Foods 12 (18), 3386, 2023 | | 2023 |
Zhi-Min ZhangCentral South University確認したメール アドレス: csu.edu.cn
