Tinghe Zhang

776 total citations
20 papers, 442 citations indexed

About

Tinghe Zhang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Orthopedics and Sports Medicine. According to data from OpenAlex, Tinghe Zhang has authored 20 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Orthopedics and Sports Medicine. Recurrent topics in Tinghe Zhang's work include Machine Learning in Bioinformatics (4 papers), Bioinformatics and Genomic Networks (4 papers) and Genomics and Phylogenetic Studies (4 papers). Tinghe Zhang is often cited by papers focused on Machine Learning in Bioinformatics (4 papers), Bioinformatics and Genomic Networks (4 papers) and Genomics and Phylogenetic Studies (4 papers). Tinghe Zhang collaborates with scholars based in United States, China and Mexico. Tinghe Zhang's co-authors include Yufei Huang, Yidong Chen, Yu‐Chiao Chiu, Songyao Zhang, Hung-I Harry Chen, Shao‐Wu Zhang, Aparna Gorthi, Li‐Ju Wang, Shou‐Jiang Gao and Yufang Jin and has published in prestigious journals such as Analytical Biochemistry, International Journal of Molecular Sciences and PLoS Pathogens.

In The Last Decade

Tinghe Zhang

19 papers receiving 437 citations

Peers

Countries citing papers authored by Tinghe Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Tinghe Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tinghe Zhang

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Towards Zero-shot Cross-lingual SLU with Syntax-aware Multi-view Contrastive Learning 2025 ·Yuxin Xie, Zhen Xiong, Tinghe Zhang, Manhua Cui, Yuqi Li, Zhiqi Huang, (unknown)	1
2	A Novel QCT-Based Deep Transfer Learning Approach for Predicting Stiffness Tensor of Trabecular Bone Cubes 2024 ·IRBM ·(unknown), Tinghe Zhang, Yufei Huang, Xiaodu Wang	1
3	Understanding YTHDF2-mediated mRNA degradation by m6A-BERT-Deg 2024 ·Briefings in Bioinformatics ·Tinghe Zhang, Sumin Jo, (unknown), Kai Wang, Shou‐Jiang Gao, Yufei Huang	3
4	ReguloGPT: Harnessing GPT for End-to-End Knowledge Graph Construction of Molecular Regulatory Pathways 2024 ·(unknown), Sumin Jo, Yiming Zeng, Arun Das, Tinghe Zhang, Parth Patel, (unknown), Lei Li, Shou‐Jiang Gao, (unknown), Dexter Pratt, Yu‐Chiao Chiu, Yufei Huang	0
5	Transformer for Gene Expression Modeling (T-GEM): An Interpretable Deep Learning Model for Gene Expression-Based Phenotype Predictions 2022 ·Cancers ·Tinghe Zhang, (unknown), Yu‐Chiao Chiu, Zhifeng Han, Yufang Jin, (unknown), Yidong Chen, Yufei Huang	28
6	Can DXA image-based deep learning model predict the anisotropic elastic behavior of trabecular bone? 2021 ·Journal of the mechanical behavior of biomedical materials ·(unknown), (unknown), Tinghe Zhang, Xuesong Dong, Yufei Huang, Xiaodu Wang	12
7	ES-ARCNN: Predicting enhancer strength by using data augmentation and residual convolutional neural network 2021 ·Analytical Biochemistry ·Tinghe Zhang, (unknown), Yufei Huang	14
8	Modifications on Promoting the Proton Conductivity of Polybenzimidazole-Based Polymer Electrolyte Membranes in Fuel Cells 2021 ·Membranes ·(unknown), Jiamu Cao, (unknown), Jing Zhou, Shimin Wang, Xu Liu, Tinghe Zhang, (unknown), Yufeng Zhang	18
9	Deep learning tackles single-cell analysis—a survey of deep learning for scRNA-seq analysis 2021 ·Briefings in Bioinformatics ·(unknown), Zhentao Liu, Tinghe Zhang, (unknown), Yu‐Chiao Chiu, Zhenqing Ye, (unknown), (unknown), Jianqiu Zhang, Shou‐Jiang Gao, Yufang Jin, Yidong Chen, Yufei Huang	34
10	Prediction of Elastic Behavior of Human Trabecular Bone Using A DXA Image-Based Deep Learning Model 2021 ·JOM ·(unknown), Tinghe Zhang, (unknown), (unknown), Xuesong Dong, Yufei Huang, Xiaodu Wang	5
11	Prediction of trabecular bone architectural features by deep learning models using simulated DXA images 2020 ·Bone Reports ·(unknown), Tinghe Zhang, (unknown), Yan Han, Yufei Huang, Xiaodu Wang	17
12	Signatures of oral microbiome in HIV-infected individuals with oral Kaposi's sarcoma and cell-associated KSHV DNA 2020 ·PLoS Pathogens ·Marion Gruffaz, Tinghe Zhang, Vickie Marshall, Priscila Gonçalves, Ramya Ramaswami, Nazzarena Labò, Denise Whitby, Thomas S. Uldrick, Robert Yarchoan, Yufei Huang, Shou‐Jiang Gao	31
13	Predicting drug response of tumors from integrated genomic profiles by deep neural networks 2019 ·BMC Medical Genomics ·Yu‐Chiao Chiu, Hung-I Harry Chen, Tinghe Zhang, Songyao Zhang, Aparna Gorthi, Li‐Ju Wang, Yufei Huang, Yidong Chen	145
14	GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization 2018 ·BMC Systems Biology ·Hung-I Harry Chen, Yu‐Chiao Chiu, Tinghe Zhang, Songyao Zhang, Yufei Huang, Yidong Chen	34
15	Prediction of Human Performance Using Electroencephalography under Different Indoor Room Temperatures 2018 ·Brain Sciences ·(unknown), Tinghe Zhang, Zijing Mao, Xiaojing Xu, Lin Zhang, Daniel J. Pack, Bing Dong, Yufei Huang	25
16	Advances in the Prediction of Protein Subcellular Locations with Machine Learning 2018 ·Current Bioinformatics ·Tinghe Zhang, Shao‐Wu Zhang	14
17	Prediction of temperature induced office worker's performance during typing task using EEG 2017 ·PubMed ·(unknown), Tinghe Zhang, Zijing Mao, Xiaojing Xu, Daniel J. Pack, Bing Dong, Yufei Huang	3
18	Prediction of Protein–Protein Interaction with Pairwise Kernel Support Vector Machine 2014 ·International Journal of Molecular Sciences ·Shao‐Wu Zhang, (unknown), Tinghe Zhang	37
19	MSLoc-DT: A new method for predicting the protein subcellular location of multispecies based on decision templates 2013 ·Analytical Biochemistry ·Shao‐Wu Zhang, Yanfang Liu, Yong Yu, Tinghe Zhang, Xiao-Nan Fan	16
20	Exploring the interaction patterns in seasonal marine microbial communities with network analysis 2013 ·Shao‐Wu Zhang, Ze‐Gang Wei, Chen Zhou, Yuchen Zhang, Tinghe Zhang	4

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.

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