Chao Che

1.3k total citations
59 papers, 793 citations indexed

About

Chao Che is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Chao Che has authored 59 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 18 papers in Molecular Biology and 16 papers in Computational Theory and Mathematics. Recurrent topics in Chao Che's work include Computational Drug Discovery Methods (15 papers), Topic Modeling (9 papers) and Biomedical Text Mining and Ontologies (8 papers). Chao Che is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Topic Modeling (9 papers) and Biomedical Text Mining and Ontologies (8 papers). Chao Che collaborates with scholars based in China, South Korea and Ethiopia. Chao Che's co-authors include Bo Jin, Peiliang Zhang, Xiaopeng Wei, Yongjun Zhu, Qiang Zhang, Yue Qu, Zhen Liu, Xiaomeng Yin, Ziqi Wei and Bo Jin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Chao Che

50 papers receiving 763 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Chao Che China	16	296	186	169	125	102	59	793
Zhicheng Cui United States	8	794 2.7×	125 0.7×	63 0.4×	271 2.2×	41 0.4×	13	1.2k
Jinyong Cheng China	12	127 0.4×	139 0.7×	65 0.4×	116 0.9×	65 0.6×	67	592
Mehmet Fatih Akay Türkiye	11	467 1.6×	190 1.0×	30 0.2×	148 1.2×	97 1.0×	56	1.0k
Yamei Luo China	12	490 1.7×	178 1.0×	38 0.2×	123 1.0×	71 0.7×	51	1.2k
Yi Guan China	20	704 2.4×	296 1.6×	34 0.2×	65 0.5×	36 0.4×	105	1.1k
Mariam Zomorodi‐Moghadam Iran	14	512 1.7×	90 0.5×	83 0.5×	55 0.4×	128 1.3×	27	1.0k
Shidin Balakrishnan Qatar	15	91 0.3×	64 0.3×	39 0.2×	198 1.6×	119 1.2×	26	710
S. Sowmya Kamath India	17	399 1.3×	72 0.4×	24 0.1×	217 1.7×	176 1.7×	119	934
Seyyed Mohammad Razavi Iran	10	102 0.3×	64 0.3×	25 0.1×	82 0.7×	55 0.5×	30	444
Salah Ud Din China	14	475 1.6×	46 0.2×	33 0.2×	125 1.0×	118 1.2×	25	905

Countries citing papers authored by Chao Che

Since Specialization

Citations

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

Fields of papers citing papers by Chao Che

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Che

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Peiliang, et al.. (2025). MGTNSyn: Molecular structure-aware graph transformer network with relational attention for drug synergy prediction. Expert Systems with Applications. 282. 127699–127699. 1 indexed citations

Du, Ying, et al.. (2025). Libs Feature Variable Extraction Method Based on Convolutional Neural Network. Journal of Applied Spectroscopy. 92(1). 218–224.

Zhang, Peiliang, et al.. (2025). Multi-Category Fusion Contrastive Learning with Core Data Selection for Robust RGB Image-based Dental Caries Classification. Information Fusion. 124. 103390–103390. 1 indexed citations

Liang, Lizhong, et al.. (2025). A transformer-based framework for temporal health event prediction with graph-enhanced representations. Journal of Biomedical Informatics. 166. 104826–104826. 1 indexed citations

Liang, Lei, et al.. (2025). Identifying New Risk Associations Between Chronic Physical Illness and Mental Health Disorders in China: Machine Learning Approach to a Retrospective Population Analysis. PubMed. 4. e72599–e72599.

Jin, Bo, et al.. (2024). OSGAN: Omni-scale and Global-aware ECG arrhythmia diagnostic network. Biomedical Signal Processing and Control. 96. 106602–106602. 4 indexed citations

Che, Chao, et al.. (2024). SSF-DDI: a deep learning method utilizing drug sequence and substructure features for drug–drug interaction prediction. BMC Bioinformatics. 25(1). 39–39. 21 indexed citations

Che, Chao, et al.. (2024). A Contrastive Learning Approach Based on ECG-Image. 49–53.

Zhang, Peiliang, et al.. (2023). CariesFG: A fine-grained RGB image classification framework with attention mechanism for dental caries. Engineering Applications of Artificial Intelligence. 123. 106306–106306. 9 indexed citations

10.

Zhang, Peiliang, et al.. (2023). B-LBConA: a medical entity disambiguation model based on Bio-LinkBERT and context-aware mechanism. BMC Bioinformatics. 24(1). 97–97. 4 indexed citations

11.

Cao, Aihua, Dandan Hong, Chao Che, et al.. (2023). The distinct role of orbitofrontal and medial prefrontal cortex in encoding impulsive choices in an animal model of attention deficit hyperactivity disorder. Frontiers in Behavioral Neuroscience. 16. 1039288–1039288.

12.

Zhang, Peiliang, et al.. (2023). IEA-GNN: Anchor-aware graph neural network fused with information entropy for node classification and link prediction. Information Sciences. 634. 665–676. 29 indexed citations

13.

Zhang, Peiliang, Ziqi Wei, Chao Che, & Bo Jin. (2022). DeepMGT-DTI: Transformer network incorporating multilayer graph information for Drug–Target interaction prediction. Computers in Biology and Medicine. 142. 105214–105214. 66 indexed citations

14.

Zhang, Peiliang, et al.. (2021). RDFNet: A Fast Caries Detection Method Incorporating Transformer Mechanism. Computational and Mathematical Methods in Medicine. 2021. 1–9. 25 indexed citations

15.

Che, Chao, et al.. (2021). Constrained transformer network for ECG signal processing and arrhythmia classification. BMC Medical Informatics and Decision Making. 21(1). 184–184. 106 indexed citations

16.

Zhang, Liang, et al.. (2021). Enriching limited information on rare diseases from heterogeneous networks for drug repositioning. BMC Medical Informatics and Decision Making. 21(S9). 304–304. 5 indexed citations

17.

Liu, Dongwei, et al.. (2021). Second-order ResU-Net for automatic MRI brain tumor segmentation. Mathematical Biosciences & Engineering. 18(5). 4943–4960. 30 indexed citations

18.

Zhu, Yongjun, et al.. (2020). Knowledge-driven drug repurposing using a comprehensive drug knowledge graph. Health Informatics Journal. 26(4). 2737–2750. 41 indexed citations

19.

Che, Chao, et al.. (2020). Fast and effective biomedical named entity recognition using temporal convolutional network with conditional random field. Mathematical Biosciences & Engineering. 17(4). 3553–3566. 5 indexed citations

20.

Che, Chao, et al.. (2019). A viral protein identifying framework based on temporal convolutional network. Mathematical Biosciences & Engineering. 16(3). 1709–1717. 6 indexed citations

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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