Yonghe Chu

451 total citations
34 papers, 282 citations indexed

About

Yonghe Chu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Yonghe Chu has authored 34 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 6 papers in Molecular Biology. Recurrent topics in Yonghe Chu's work include Topic Modeling (17 papers), Machine Learning and ELM (10 papers) and Advanced Text Analysis Techniques (7 papers). Yonghe Chu is often cited by papers focused on Topic Modeling (17 papers), Machine Learning and ELM (10 papers) and Advanced Text Analysis Techniques (7 papers). Yonghe Chu collaborates with scholars based in China and Macao. Yonghe Chu's co-authors include Hongfei Lin, Yufeng Diao, Xiaochao Fan, Liang Yang, Chen Shen, Kan Xu, Zhihao Yang, Dongyu Zhang, Dongyu Zhang and Di Zhao and has published in prestigious journals such as IEEE Access, BMC Bioinformatics and Information Sciences.

In The Last Decade

Yonghe Chu

31 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yonghe Chu China	10	181	73	70	24	21	34	282
Yufeng Diao China	10	218 1.2×	59 0.8×	38 0.5×	14 0.6×	43 2.0×	25	292
Mushtaq Ali Pakistan	11	87 0.5×	202 2.8×	43 0.6×	10 0.4×	10 0.5×	33	386
P. Subashini India	10	101 0.6×	105 1.4×	40 0.6×	12 0.5×	4 0.2×	64	278
Zhen Xu China	12	233 1.3×	84 1.2×	13 0.2×	8 0.3×	9 0.4×	34	372
Daqian Shi China	6	174 1.0×	75 1.0×	75 1.1×	21 0.9×	5 0.2×	13	314
Umar Farooq Pakistan	7	127 0.7×	73 1.0×	109 1.6×	4 0.2×	10 0.5×	21	310
Prasenjit Dey India	10	154 0.9×	154 2.1×	64 0.9×	5 0.2×	3 0.1×	25	362
Hong-Jiang Zhang China	10	98 0.5×	497 6.8×	105 1.5×	14 0.6×	9 0.4×	14	605
T. Hitendra Sarma India	9	96 0.5×	70 1.0×	63 0.9×	37 1.5×	1 0.0×	24	237
Zain ul Abideen Pakistan	12	76 0.4×	49 0.7×	16 0.2×	4 0.2×	4 0.2×	20	265

Countries citing papers authored by Yonghe Chu

Since Specialization

Citations

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

Fields of papers citing papers by Yonghe Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yonghe Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Yonghe Chu. A scholar is included among the top collaborators of Yonghe Chu 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 Yonghe Chu. Yonghe Chu 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

Chu, Yonghe, et al.. (2025). Broad learning systems: An overview of recent advances, applications, challenges and future directions. Neurocomputing. 641. 130337–130337.

Zhao, Di, et al.. (2025). Few-shot biomedical NER empowered by LLMs-assisted data augmentation and multi-scale feature extraction. BioData Mining. 18(1). 28–28.

Chu, Yonghe, et al.. (2024). Hyperspectral image classification using feature fusion fuzzy graph broad network. Information Sciences. 689. 121504–121504. 6 indexed citations

Meng, Jiana, et al.. (2024). Integrating graph convolutional networks to enhance prompt learning for biomedical relation extraction. Journal of Biomedical Informatics. 157. 104717–104717. 3 indexed citations

Cao, Jun, et al.. (2024). Global-local manifold embedding broad graph convolutional network for hyperspectral image classification. Neurocomputing. 602. 128271–128271. 14 indexed citations

Wang, Panpan, et al.. (2024). Quantum Representation based Preference Evolution Network for E-commerce recommendation. Physica A Statistical Mechanics and its Applications. 654. 130155–130155. 1 indexed citations

Chu, Yonghe, et al.. (2024). Topic-aware cosine graph convolutional neural network for short text classification. Soft Computing. 28(13-14). 8119–8132. 1 indexed citations

Chu, Yonghe, et al.. (2023). Local discriminative graph convolutional networks for text classification. Multimedia Systems. 29(4). 2363–2373. 5 indexed citations

Chu, Yonghe, et al.. (2023). Automatic Repair of Java Programs with Mixed Granularity and Variable Mapping. Information Technology And Control. 52(1). 68–84.

10.

Chu, Yonghe, et al.. (2023). Refined SBERT: Representing sentence BERT in manifold space. Neurocomputing. 555. 126453–126453. 8 indexed citations

11.

Zhao, Chenyang, et al.. (2023). Adaptive Context-Embedded Hypergraph Convolutional Network for Session-based Recommendation. Information Technology And Control. 52(1). 111–127. 3 indexed citations

12.

Wang, Bolin, Yuanyuan Sun, Yonghe Chu, et al.. (2022). Refining electronic medical records representation in manifold subspace. BMC Bioinformatics. 23(1). 115–115. 3 indexed citations

13.

Zhao, Di, Jian Wang, Yonghe Chu, et al.. (2021). Improving biomedical word representation with locally linear embedding. Neurocomputing. 447. 172–182. 2 indexed citations

14.

Zhao, Di, Jian Wang, Hongfei Lin, et al.. (2021). Sentence representation with manifold learning for biomedical texts. Knowledge-Based Systems. 218. 106869–106869. 16 indexed citations

15.

Diao, Yufeng, Hongfei Lin, Liang Yang, et al.. (2020). CRHASum: extractive text summarization with contextualized-representation hierarchical-attention summarization network. Neural Computing and Applications. 32(15). 11491–11503. 32 indexed citations

16.

Shen, Chen, Hongfei Lin, Zhiheng Li, et al.. (2020). A Graph-boosted Framework for Adverse Drug Event Detection on Twitter. 1129–1131. 1 indexed citations

17.

Diao, Yufeng, Hongfei Lin, Liang Yang, et al.. (2020). A Multi-Dimension Question Answering Network for Sarcasm Detection. IEEE Access. 8. 135152–135161. 19 indexed citations

18.

Chu, Yonghe, Hongfei Lin, Liang Yang, et al.. (2019). Discriminative globality-locality preserving extreme learning machine for image classification. Neurocomputing. 387. 13–21. 9 indexed citations

19.

Chu, Yonghe, Hongfei Lin, Liang Yang, et al.. (2019). Refining Word Representations by Manifold Learning. 5394–5400. 7 indexed citations

20.

Chu, Yonghe, et al.. (2016). Information discriminative extreme learning machine. Soft Computing. 22(2). 677–689. 13 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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