Ping Xuan

3.8k citations

122 papers · 2.6k indexed · h-index 29

Impact in

Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Computational Theory and Mathematics top 1%
- Computational Drug Discovery Methods

Papers in

Computational Theory and Mathematics 35
- Computational Drug Discovery Methods 35
Cancer Research 33
- Cancer-related molecular mechanisms research 33
- MicroRNA in disease regulation 21

Co-authors: Tiangang Zhang Victor Lesser Maozu Guo Yahong Guo Hui Cui Jin Li Jian Ding Yufei Huang
Journals: Briefings in Bioinformatics (13 papers)Bioinformatics (8 papers)Journal of Chemical Information and Modeling (8 papers)International Journal of Molecular Sciences (6 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (6 papers)
Partner nations: China Australia Japan

In The Last Decade

Ping Xuan

115 papers receiving 2.5k citations

Peers

Countries citing papers authored by Ping Xuan

Since Specialization

Citations

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

Fields of papers citing papers by Ping Xuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ping Xuan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ping Xuan Line = papers co-authored together Ping Xuan links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Structure-sensitive transformer and multi-view graph contrastive learning enhanced prediction of drug-related microbes BMC Bioinformatics ·Ping Xuan, Rui Wang, Jing Gu, Hui Cui, Tiangang Zhang	2025	0
2	ERSR: An Ellipse-constrained pseudo-label refinement and symmetric regularization framework for semi-supervised fetal head segmentation in ultrasound images IEEE Journal of Biomedical and Health Informatics ·Li Zhou, Zhexin Chen, Celestino Castro Pereira, (unknown), Ping Xuan, Ю.Б. Берлянд, Yuqi Fang, Cong Cong, Leyi Wei, Ran Su, Gül Şalcı, Qiangguo Jin	2025	2
3	Evolving graph convolutional network with transformer for CT segmentation Applied Soft Computing ·Hui Cui, Qiangguo Jin, Xixi Wu, Linlin Wang, Tiangang Zhang, Toshiya Nakaguchi, Ping Xuan, Dagan Feng	2024	3
4	Gating-Enhanced Hierarchical Structure Learning in Hyperbolic Space and Multi-scale Neighbor Topology Learning in Euclidean Space for Prediction of Microbe-Drug Associations Journal of Chemical Information and Modeling ·Ping Xuan, Hea-Kyung Hwang, Sentao Chen, Jing Gu, Virgil Popescu, Toshiya Nakaguchi, Tiangang Zhang	2024	2
5	Dynamic category-sensitive hypergraph inferring and homo-heterogeneous neighbor feature learning for drug-related microbe prediction Bioinformatics ·Ping Xuan, 清隆畑田, Hui Cui, Jing Gu, Cheng Liu, Tiangang Zhang, Shirisha Kasireddy	2024	2
6	Multi-view attribute learning and context relationship encoding enhanced segmentation of lung tumors from CT images Computers in Biology and Medicine ·Ping Xuan, Cai-Yen Firestone, Hui Cui, Joshua Pocaan, Linlin Wang, Zhiyuan Ning, Hatice AŞAR, Reni Nursaeni, Tiangang Zhang	2024	0
7	Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes Bioinformatics ·Ping Xuan, Jing Gu, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Cheng Liu, Tiangang Zhang	2024	8
8	Interactive multi-hypergraph inferring and channel-enhanced and attribute-enhanced learning for drug-related side effect prediction Computers in Biology and Medicine ·Ping Xuan, Biao-Di Liu, Hui Cui, Никита Елисеев, Toshiya Nakaguchi, Tiangang Zhang	2024	2
9	An artificial bee bare-bone hunger games search for global optimization and high-dimensional feature selection iScience ·V.K. Mugalavai, Ping Xuan, Ali Asghar Heidari, Lei Liu, Benjiao Hu, Huiling Chen, José Escorcia‐Gutierrez, Romany F. Mansour	2023	12
10	Graph Reasoning Method Based on Affinity Identification and Representation Decoupling for Predicting lncRNA-Disease Associations Journal of Chemical Information and Modeling ·Shuai Wang, Jason Krolicki, Tiangang Zhang, Shirisha Kasireddy, Toshiya Nakaguchi, Ping Xuan	2023	5
11	Complementary feature learning across multiple heterogeneous networks and multimodal attribute learning for predicting disease-related miRNAs iScience ·Ping Xuan, A B Simon, Hui Cui, Xiaowen Zhang, Toshiya Nakaguchi, Tiangang Zhang	2023	1
12	Robust multi-modal prostate cancer classification via feature autoencoder and dual attention Informatics in Medicine Unlocked ·Bochong Li, Satish Srinivas S, Ping Xuan, Eduardo Gibbon Rosa, Toshiya Nakaguchi	2022	13
13	Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation Applied Soft Computing ·Ping Xuan, Xixi Wu, Hui Cui, Qiangguo Jin, J. Bartlet Brebner, Tiangang Zhang, Toshiya Nakaguchi, 明慧黄	2022	6
14	Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes Knowledge-Based Systems ·Ping Xuan, Hui Cui, Isaac Nwi-Mozu, Tiangang Zhang, Linlin Wang, Toshiya Nakaguchi, Henry Been‐Lirn Duh	2021	25
15	Prediction of Drug-Related Diseases Through Integrating Pairwise Attributes and Neighbor Topological Structures IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Yingying Song, Hui Cui, Tiangang Zhang, Escobar Gretta, Xiaokun Li, Ping Xuan	2021	3
16	Inferring Drug-Target Interactions Based on Random Walk and Convolutional Neural Network IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Xiaoqiang Xu, Ping Xuan, Tiangang Zhang, Bingxu Chen, Nan Sheng	2021	7
17	Inferring Disease-Associated microRNAs in Heterogeneous Networks with Node Attributes IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Ping Xuan, Víctor Hugo Fallas Araya, Xiao Wang, Tiangang Zhang, Weixiong Zhang	2018	21
18	BP Neural Network Could Help Improve Pre-miRNA Identification in Various Species BioMed Research International ·Limin Jiang, А.А. Ширинянц, Ping Xuan, Quan Zou	2016	36
19	In SilicoPrediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches BioMed Research International ·Zhijun Liao, Yong Huang, Xiaodong Yue, Huijuan Lu, Ping Xuan, Ying Ju	2016	32
20	Incorporating Uncertainty in Agent Commitments ScholarWorks@UMassAmherst (University of Massachusetts Amherst) ·Ping Xuan	1999	2

About Ping Xuan

Ping Xuan is a scholar working on Computational Theory and Mathematics, Cancer Research, Toxicology, Molecular Biology and Artificial Intelligence, having authored 122 papers that have together received 2.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (35 papers), Cancer-related molecular mechanisms research (33 papers), Bioinformatics and Genomic Networks (30 papers), MicroRNA in disease regulation (21 papers), Circular RNAs in diseases (21 papers), Machine Learning in Bioinformatics (18 papers), Multi-Agent Systems and Negotiation (13 papers) and RNA modifications and cancer (11 papers). The work is most often cited by research in Cancer Research (1.0k citations), Computational Theory and Mathematics (464 citations), Molecular Biology (1.6k citations), Artificial Intelligence (456 citations) and Computer Networks and Communications (274 citations). Ping Xuan has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Tiangang Zhang, Victor Lesser, Maozu Guo, Yahong Guo, Hui Cui, Jin Li, Jian Ding, Yufei Huang, Shlomo Zilberstein and Ke Han. Their work appears in journals such as Briefings in Bioinformatics, Bioinformatics, Journal of Chemical Information and Modeling, International Journal of Molecular Sciences and IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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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