Jie Zheng

Jie Zheng

Shanghai Tech University

H-index: 27

Asia-China

About Jie Zheng

Jie Zheng, With an exceptional h-index of 27 and a recent h-index of 20 (since 2020), a distinguished researcher at Shanghai Tech University, specializes in the field of Bioinformatics, artificial intelligence, biomedical data science, AI for Science, drug discovery.

His recent articles reflect a diverse array of research interests and contributions to the field:

SL-Miner: a web server for mining evidence and prioritization of cancer-specific synthetic lethality

TEFDTA: A Transformer Encoder and Fingerprint Representation Combined Prediction Method for Bonded and Non-Bonded Drug-Target Affinities

MCLand: A Python program for drawing emerging shapes of Waddington's epigenetic landscape by Monte Carlo simulations

A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification

Benchmarking Machine Learning Methods for Synthetic Lethality Prediction in Cancer

Weakly supervised learning for pattern classification in serial femtosecond crystallography

TMELand: An end-to-end pipeline for quantification and visualization of Waddington’s epigenetic landscape based on gene regulatory network

KR4SL: knowledge graph reasoning for explainable prediction of synthetic lethality

Jie Zheng Information

University

Position

Associate Professor School of Information Science and Technology

Citations(all)

2829

Citations(since 2020)

1596

Cited By

1807

hIndex(all)

27

hIndex(since 2020)

20

i10Index(all)

62

i10Index(since 2020)

42

Email

University Profile Page

Shanghai Tech University

Google Scholar

View Google Scholar Profile

Jie Zheng Skills & Research Interests

Bioinformatics

artificial intelligence

biomedical data science

AI for Science

drug discovery

Top articles of Jie Zheng

Title

Journal

Author(s)

Publication Date

SL-Miner: a web server for mining evidence and prioritization of cancer-specific synthetic lethality

Bioinformatics

Xin Liu

Jieni Hu

Jie Zheng

2024

TEFDTA: A Transformer Encoder and Fingerprint Representation Combined Prediction Method for Bonded and Non-Bonded Drug-Target Affinities

Bioinformatics

Zongquan Li

Pengxuan Ren

Hao Yang

Jie Zheng

Fang Bai

2024/1/1

MCLand: A Python program for drawing emerging shapes of Waddington's epigenetic landscape by Monte Carlo simulations

bioRxiv

Ket Hing Chong

Xiaomeng Zhang

Lin Zhu

Jie Zheng

2024

A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification

Fan Xu

Yu Zhao

Bingzhe Wu

Yueshan Huang

Qin Ren

...

2024

Benchmarking Machine Learning Methods for Synthetic Lethality Prediction in Cancer

bioRxiv

Yimiao Feng

Yahui Long

He Wang

Yang Ouyang

Quan Li

...

2023

Weakly supervised learning for pattern classification in serial femtosecond crystallography

Optics Express

Jianan Xie

Ji Liu

Chi Zhang

Xihui Chen

Ping Huai

...

2023/9/25

TMELand: An end-to-end pipeline for quantification and visualization of Waddington’s epigenetic landscape based on gene regulatory network

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Lin Zhu

Xin Kang

Chunhe Li

Jie Zheng

2023/6/13

KR4SL: knowledge graph reasoning for explainable prediction of synthetic lethality

Ke Zhang

Min Wu

Yong Liu

Yimiao Feng

Jie Zheng

2023/7

DNA methylation in small cell lung cancer

Xianmin Zhu

Yuehua Gao

Yimiao Feng

Jie Zheng

Yixiao Dong

...

2023/6

Meta learning for low-data prediction of cancer-specific synthetic lethality as drug targets

Xin Liu

Siyu Tao

Jie Zheng

2023/12

Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans

Xiaoxian Xu

Ying Wei

Jie Zheng

Zhongxiang Ding

Yiqiang Zhan

...

2023/4/18

Tunable Hydrogel Confinement via On-Chip 3D Printing for Studying Cancer Cell Migration

ACS Materials Letters

Shuyi Qian

Yixiao Dong

Ju Qu

Xuechun Wang

Wang Zhang

...

2023/11/13

Biological Factor Regulatory Neural Network

arXiv preprint arXiv:2304.04982

Xinnan Dai

Caihua Shan

Jie Zheng

Xiaoxiao Li

Dongsheng Li

2023/4/11

Grouped Multi-Task Learning with Hidden Tasks Enhancement

Jiachun Jin

Jiankun Wang

Lu Sun

Jie Zheng

Mineichi Kudo

2023

Prediction of gene co-expression from chromatin contacts with graph attention network

Bioinformatics

Ke Zhang

Chenxi Wang

Liping Sun

Jie Zheng

2022/10/1

NSF4SL: negative-sample-free contrastive learning for ranking synthetic lethal partner genes in human cancers

Bioinformatics

Shike Wang

Yimiao Feng

Xin Liu

Yong Liu

Min Wu

...

2022/9

PiLSL: pairwise interaction learning-based graph neural network for synthetic lethality prediction in human cancers

Bioinformatics

Xin Liu

Jiale Yu

Siyu Tao

Beiyuan Yang

Shike Wang

...

2022/9/18

SynLethDB 2.0: A web-based knowledge graph database on synthetic lethality for novel anticancer drug discovery

Database

Jie Wang

Min Wu

Xuhui Huang

Li Wang

Sophia Zhang

...

2022/5

Predicting synthetic lethality in human cancers via multi-graph ensemble neural network

Mincai Lai

Guangyao Chen

Haochen Yang

Jingkang Yang

Zhihao Jiang

...

2021/11/1

Cell-to-cell and type-to-type heterogeneity of signaling networks: Insights from the crowd

Mol Syst Biol.

Chung V Gabor A

Tognetti M

Driessen A

Tanevski J

Guo B

...

2021

See List of Professors in Jie Zheng University(Shanghai Tech University)

Co-Authors

H-index: 66
Tao Jiang

Tao Jiang

University of California, Riverside

H-index: 59
Stefano Lonardi

Stefano Lonardi

University of California, Riverside

H-index: 57
Shuigeng Zhou

Shuigeng Zhou

Fudan University

H-index: 49
Xin Chen

Xin Chen

Nanyang Technological University

H-index: 47
Chee Keong KWOH

Chee Keong KWOH

Nanyang Technological University

H-index: 45
Jihong Guan

Jihong Guan

Tongji University

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