Yulin He

2.8k total citations · 1 hit paper
103 papers, 1.9k citations indexed

About

Yulin He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Yulin He has authored 103 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 32 papers in Computer Vision and Pattern Recognition and 9 papers in Computer Networks and Communications. Recurrent topics in Yulin He's work include Machine Learning and ELM (21 papers), Face and Expression Recognition (20 papers) and Machine Learning and Data Classification (16 papers). Yulin He is often cited by papers focused on Machine Learning and ELM (21 papers), Face and Expression Recognition (20 papers) and Machine Learning and Data Classification (16 papers). Yulin He collaborates with scholars based in China, Hong Kong and United States. Yulin He's co-authors include Xizhao Wang, Joshua Zhexue Huang, Rana Aamir Raza Ashfaq, Haider Abbas, A. Kundu, Yanxing Hu, James N.K. Liu, Salman Salloum, Debby D. Wang and Huanyu Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Yulin He

87 papers receiving 1.8k citations

Hit Papers

Fuzziness based semi-supervised learning approach for int... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yulin He China 19 1.0k 433 395 241 220 103 1.9k
Xiaofei Xu China 22 1.4k 1.4× 480 1.1× 338 0.9× 309 1.3× 264 1.2× 95 2.2k
Thomas A. Runkler Germany 24 1.4k 1.4× 192 0.4× 418 1.1× 273 1.1× 268 1.2× 132 2.6k
Dayou Liu China 27 1.3k 1.3× 405 0.9× 435 1.1× 382 1.6× 131 0.6× 173 2.9k
Zili Zhang China 27 868 0.9× 165 0.4× 381 1.0× 270 1.1× 119 0.5× 119 2.0k
Zhifeng Hao China 24 913 0.9× 218 0.5× 388 1.0× 133 0.6× 73 0.3× 160 1.9k
Shie-Jue Lee Taiwan 21 1.0k 1.0× 206 0.5× 330 0.8× 305 1.3× 193 0.9× 120 1.8k
Jing Zhao China 20 848 0.8× 178 0.4× 593 1.5× 141 0.6× 164 0.7× 128 2.5k
Cheng Long Singapore 24 594 0.6× 325 0.8× 327 0.8× 252 1.0× 616 2.8× 172 1.9k
Ayed Salman Kuwait 16 1.2k 1.2× 261 0.6× 402 1.0× 216 0.9× 96 0.4× 48 2.1k
Ye Yuan China 22 1.1k 1.1× 631 1.5× 830 2.1× 311 1.3× 451 2.0× 210 2.4k

Countries citing papers authored by Yulin He

Since Specialization
Citations

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

Fields of papers citing papers by Yulin He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulin He

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

All Works

20 of 20 papers shown
1.
He, Yulin, et al.. (2025). Relaxed naïve Bayesian classifier based on maximum dependent attribute groups. Information Sciences. 707. 122013–122013. 1 indexed citations
2.
Ni, Zhangkai, et al.. (2025). Breaking Boundaries: Unifying Imaging and Compression for HDR Image Compression. IEEE Transactions on Image Processing. 34. 510–521.
3.
He, Yulin, et al.. (2025). Attribute grouping-based naive Bayesian classifier. Science China Information Sciences. 68(3). 2 indexed citations
4.
He, Yulin, et al.. (2025). A data-driven fused kernel density estimator for multi-modal distribution. Information Fusion. 125. 103434–103434. 1 indexed citations
5.
He, Yulin, et al.. (2024). A novel and efficient risk minimisation-based missing value imputation algorithm. Knowledge-Based Systems. 304. 112435–112435.
6.
Nawaz, M. Saqib, et al.. (2024). FSP4HSP: Frequent sequential patterns for the improved classification of heat shock proteins, their families, and sub-types. International Journal of Biological Macromolecules. 277(Pt 1). 134147–134147. 3 indexed citations
7.
Nawaz, M. Saqib, et al.. (2024). Analysis and Classification of Fake News Using Sequential Pattern Mining. Big Data Mining and Analytics. 7(3). 942–963. 6 indexed citations
8.
Wang, Jiahui, et al.. (2023). The mechanism of LSM2 in the progression of live hepatocellular carcinoma was analyzed based on bioinformatics. Medical Oncology. 40(9). 276–276. 1 indexed citations
9.
Nawaz, M. Saqib, et al.. (2023). Using alignment-free and pattern mining methods for SARS-CoV-2 genome analysis. Applied Intelligence. 53(19). 21920–21943. 9 indexed citations
10.
Zhang, Min, et al.. (2023). Self-optimization examination system based on improved particle swarm optimization. Nonlinear Engineering. 12(1). 1 indexed citations
11.
Nawaz, M. Saqib, et al.. (2023). PSAC-PDB: Analysis and classification of protein structures. Computers in Biology and Medicine. 158. 106814–106814. 9 indexed citations
12.
He, Yulin, Laizhong Cui, Philippe Fournier‐Viger, et al.. (2022). Wireless Network Slice Assignment With Incremental Random Vector Functional Link Network. IEEE Transactions on Network Science and Engineering. 10(3). 1283–1296. 3 indexed citations
13.
Hou, Gang, Yulin He, Dongfang Song, et al.. (2022). The Novel Regulatory Role of the lncRNA–miRNA–mRNA Axis in Chronic Inflammatory Airway Diseases. Frontiers in Molecular Biosciences. 9. 927549–927549. 18 indexed citations
14.
He, Yulin, et al.. (2020). An Incremental Kernel Density Estimator for Data Stream Computation. Complexity. 2020. 1–17. 4 indexed citations
15.
Salloum, Salman, Joshua Zhexue Huang, & Yulin He. (2019). Exploring and cleaning big data with random sample data blocks. Journal Of Big Data. 6(1). 15 indexed citations
16.
Salloum, Salman, Joshua Zhexue Huang, & Yulin He. (2019). Random Sample Partition: A Distributed Data Model for Big Data Analysis. IEEE Transactions on Industrial Informatics. 15(11). 5846–5854. 77 indexed citations
17.
Salloum, Salman, Joshua Zhexue Huang, Yulin He, & Xiaojun Chen. (2018). An Asymptotic Ensemble Learning Framework for Big Data Analysis. IEEE Access. 7. 3675–3693. 16 indexed citations
18.
He, Yulin. (2009). Acquisition of classification rule based onquantum-behaved particle swarm optimization. Jisuanji yingyong yanjiu. 2 indexed citations
19.
Lu, Hongwei, et al.. (2006). Research and Application of Information Fusion Technology on Machinery Fault Diagnosis. Journal of Chongqing University. English Edition. 4 indexed citations
20.
He, Yulin, et al.. (2005). Application of Object-oriented Representation in the Motorcycle Designed Expert System. Journal of Chongqing University. English Edition. 1.

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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