Hehuan Ma

545 total citations
29 papers, 272 citations indexed

About

Hehuan Ma is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Hehuan Ma has authored 29 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Computational Theory and Mathematics and 10 papers in Artificial Intelligence. Recurrent topics in Hehuan Ma's work include Computational Drug Discovery Methods (12 papers), Machine Learning in Bioinformatics (9 papers) and Protein Structure and Dynamics (8 papers). Hehuan Ma is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Machine Learning in Bioinformatics (9 papers) and Protein Structure and Dynamics (8 papers). Hehuan Ma collaborates with scholars based in United States, China and Netherlands. Hehuan Ma's co-authors include Junzhou Huang, Yuzhi Guo, Yu Rong, Jinyu Yang, Weizhi An, Yatao Bian, Jiaxiang Wu, Chunyuan Li, Sheng Wang and Weiyang Xie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Frontiers in Plant Science.

In The Last Decade

Hehuan Ma

27 papers receiving 262 citations

Peers

Countries citing papers authored by Hehuan Ma

Since Specialization

Citations

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

Fields of papers citing papers by Hehuan Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hehuan Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Hehuan Ma. A scholar is included among the top collaborators of Hehuan Ma 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 Hehuan Ma. Hehuan Ma 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	Segment Any Cell: A SAM-Based Auto-Prompting Fine-Tuning Framework for Nuclei Segmentation 2025 ·IEEE Transactions on Neural Networks and Learning Systems ·(unknown), Yuzhi Guo, Feng Jiang, Hehuan Ma, (unknown), Junzhou Huang	1
2	Abnormality-aware multimodal learning for WSI classification 2025 ·Frontiers in Medicine ·Thao Dang, (unknown), Yuzhi Guo, Hehuan Ma, (unknown), Jean Gao, Junzhou Huang	0
3	Contrastive Pretraining for Computational Pathology with Visual-Language Models 2025 ·Qifeng Zhou, Thao Dang, Yuzhi Guo, Hehuan Ma, (unknown), (unknown), Jean Gao, Junzhou Huang	0
4	AlphaEpi: Enhancing B Cell Epitope Prediction with AlphaFold 3 2024 ·(unknown), Yuzhi Guo, Hehuan Ma, (unknown), Weizhi An, Bing Song, Yi Han, Jean Gao, Tao Wang, Junzhou Huang	2
5	MFMF: Multiple Foundation Model Fusion Networks for Whole Slide Image Classification 2024 ·Thao Dang, Yuzhi Guo, Hehuan Ma, (unknown), (unknown), Jean Gao, Junzhou Huang	2
6	Toward Robust Self-Training Paradigm for Molecular Prediction Tasks 2024 ·Journal of Computational Biology ·Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo, Junzhou Huang	1
7	Advancing DNA Language Models through Motif-Oriented Pre-Training with MoDNA 2024 ·SHILAP Revista de lepidopterología ·Weizhi An, Yuzhi Guo, Yatao Bian, Hehuan Ma, Jinyu Yang, Chunyuan Li, Junzhou Huang	1
8	GTE: a graph learning framework for prediction of T-cell receptors and epitopes binding specificity 2024 ·Briefings in Bioinformatics ·Feng Jiang, Yuzhi Guo, Hehuan Ma, (unknown), (unknown), Yi Han, Tao Wang, Junzhou Huang	5
9	NuSegDA: Domain adaptation for nuclei segmentation 2023 ·Frontiers in Big Data ·(unknown), Hehuan Ma, Junzhou Huang	1
10	Recent Advances in Toxicity Prediction: Applications of Deep Graph Learning 2023 ·Chemical Research in Toxicology ·(unknown), Hehuan Ma, Junzhou Huang	8
11	ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs 2023 ·(unknown), Hehuan Ma, (unknown), Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang	15
12	Molecule Sequence Generation with Rebalanced Variational Autoencoder Loss 2022 ·Journal of Computational Biology ·Chaochao Yan, Jinyu Yang, Hehuan Ma, Sheng Wang, Junzhou Huang	6
13	Cross-dependent graph neural networks for molecular property prediction 2022 ·Bioinformatics ·Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, (unknown), Junzhou Huang	46
14	Robust self-training strategy for various molecular biology prediction tasks 2022 ·Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo, Junzhou Huang	5
15	Comprehensive Study on Enhancing Low-Quality Position-Specific Scoring Matrix with Deep Learning for Accurate Protein Structure Property Prediction: Using Bagging Multiple Sequence Alignment Learning 2021 ·Journal of Computational Biology ·Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang	5
16	Dual Message Passing Neural Network for Molecular Property Prediction. 2020 ·arXiv (Cornell University) ·Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, (unknown), Junzhou Huang	5
17	EPTool: A New Enhancing PSSM Tool for Protein Secondary Structure Prediction 2020 ·Journal of Computational Biology ·Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang	10
18	Deep Graph Learning with Property Augmentation for Predicting Drug-Induced Liver Injury 2020 ·Chemical Research in Toxicology ·Hehuan Ma, Weizhi An, Yuhong Wang, Hongmao Sun, Ruili Huang, Junzhou Huang	25
19	Identification of Introgressed Alleles Conferring High Fiber Quality Derived From Gossypium barbadense L. in Secondary Mapping Populations of G. hirsutum L. 2018 ·Frontiers in Plant Science ·Yu Chen, Guodong Liu, Hehuan Ma, (unknown), Chuanyun Zhang, Jingxia Zhang, Junhao Zhang, Furong Wang, (unknown)	28
20	Identification of a 62‐kDa major allergen from Artemisia pollen as a putative galactose oxidase 2017 ·Allergy ·Wanyi Fu, Zhongshan Gao, Ling Gao, Jing Jin, (unknown), (unknown), Shihua Wu, Lingying Wu, Hehuan Ma, (unknown), (unknown), (unknown), (unknown), Jaap H. Akkerdaas, Serge A. Versteeg, Ronald van Ree	13

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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