🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Haohan Wang

Yichang Central People's Hospital

ORCID: 0000-0002-1826-4069

Also affiliated with Huazhong University of Science and Technology

Biochemistry, Genetics and Molecular BiologyComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 12 papers. Top paper: “Poly(A)-DG: A deep-learning-based domain generalization method to identify cross-species Poly(A) signal without prior knowledge from target species”.

Poly(A)-DG: A deep-learning-based domain generalization method to identify cross-species Poly(A) signal without prior knowledge from target species

PLoS Computational Biology(2020)10.1371/journal.pcbi.1008297
N/A
0.855DataRank · unranked
12 citations

Haohan Wang, Yang Zhang, Xin Gao, Eric P. Xing, Min Xu +1 more

Discovering weaker genetic associations guided by known associations

BMC Medical Genomics(2020)10.1186/s12920-020-0667-4
N/A
0DataRank · unranked
7 citations

Michael M. Vanyukov, Eric P. Xing, Wei Wu, Haohan Wang

Supervised Adversarial Alignment of Single-Cell RNA-seq Data

Journal of Computational Biology(2021)10.1089/cmb.2020.0439
N/A
0DataRank · unranked
35 citations

Haohan Wang, Amir Alavi, Eric P. Xing, Ziv Bar‐Joseph, Songwei Ge

Active learning to classify macromolecular structures in situ for less supervision in cryo-electron tomography

Bioinformatics(2021)10.1093/bioinformatics/btab123
N/A
0DataRank · unranked
12 citations

Haohan Wang, Zhenxi Zhu, Xiangrui Zeng, Yi‐Wei Chang, Jing Zhang +3 more

Coupled mixed model for joint genetic analysis of complex disorders with two independently collected data sets

BMC Bioinformatics(2021)10.1186/s12859-021-03959-2
N/A
0DataRank · unranked
10 citations

Fen Pei, Michael M. Vanyukov, İvet Bahar, Wei Wu, Eric P. Xing +1 more

DeepBiomarker: Identifying Important Lab Tests from Electronic Medical Records for the Prediction of Suicide-Related Events among PTSD Patients

Journal of Personalized Medicine(2022)10.3390/jpm12040524
N/A
0DataRank · unranked
19 citations

Peihao Fan, Xiguang Qi, Zeshui Yu, Jian Ying, Haohan Wang +5 more

Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(2022)10.1145/3534678.3539438
N/A
0DataRank · unranked
7 citations

Zeyi Huang, Xindi Wu, Eric P. Xing, Haohan Wang

DeepBiomarker2: Prediction of alcohol and substance use disorder risk in post-traumatic stress disorder patients using electronic medical records and multiple social determinants of health

Research Square(2023)10.21203/rs.3.rs-2949487/v1
N/A
0DataRank · unranked
2 citations

Peihao Fan, Xiguang Qi, Haohan Wang, M. Daniel Brannock, Thomas R. Kosten +4 more

Prediction of Adverse Events Risk in Patients with Comorbid Post- Traumatic Stress Disorder and Alcohol Use Disorder Using Electronic Medical Records by Deep Learning Models

Research Square(2023)10.21203/rs.3.rs-3299369/v1
N/A
0DataRank · unranked
0 citations

Peihao Fan, Xiguang Qi, Haohan Wang, M. Daniel Brannock, Thomas R. Kosten +4 more

DeepBiomarker2: Prediction of Alcohol and Substance Use Disorder Risk in Post-Traumatic Stress Disorder Patients Using Electronic Medical Records and Multiple Social Determinants of Health

Journal of Personalized Medicine(2024)10.3390/jpm14010094
N/A
0DataRank · unranked
14 citations

Peihao Fan, Xiguang Qi, Haohan Wang, M. Daniel Brannock, Thomas R. Kosten +4 more

Prediction of adverse events risk in patients with comorbid post-traumatic stress disorder and alcohol use disorder using electronic medical records by deep learning models

Drug and Alcohol Dependence(2024)10.1016/j.drugalcdep.2023.111066
N/A
0DataRank · unranked
9 citations

Peihao Fan, Xiguang Qi, Haohan Wang, M. Daniel Brannock, Thomas R. Kosten +4 more

A Quantitative Approach for Evaluating Disease Focus and Interpretability of Deep Learning Models for Alzheimer's Disease Classification

arXiv (Cornell University)(2024)10.48550/arxiv.2409.04888
N/A
0DataRank · unranked
0 citations

Litian Liang, Ke Chen, Haohan Wang, Wei Wu, Thomas Yu Chow Tam