Yongjun He

1.4k total citations
77 papers, 963 citations indexed

About

Yongjun He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Yongjun He has authored 77 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 19 papers in Signal Processing. Recurrent topics in Yongjun He's work include Speech and Audio Processing (15 papers), AI in cancer detection (13 papers) and Music and Audio Processing (12 papers). Yongjun He is often cited by papers focused on Speech and Audio Processing (15 papers), AI in cancer detection (13 papers) and Music and Audio Processing (12 papers). Yongjun He collaborates with scholars based in China, United Kingdom and Ukraine. Yongjun He's co-authors include Hywel Rhys Thomas, Jiqing Han, Jian Qin, Michael Sansom, Bolin Liao, Jing Zhao, Jinjie Huang, Dequan Zheng, Xuan Xu and Jinming Song and has published in prestigious journals such as Scientific Reports, IEEE Access and Information Sciences.

In The Last Decade

Yongjun He

68 papers receiving 923 citations

Peers

Yongjun He
Ruiyang Zhang China
Jiahao Deng China
Cheng Lian China
Yanpeng Cao China
Zhijun Chen China
Liang Hu China
Hao Ma China
Pengyu Wang China
Liming Jiang United States
Ruiyang Zhang China
Yongjun He
Citations per year, relative to Yongjun He Yongjun He (= 1×) peers Ruiyang Zhang

Countries citing papers authored by Yongjun He

Since Specialization
Citations

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

Fields of papers citing papers by Yongjun He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongjun He

This figure shows the co-authorship network connecting the top 25 collaborators of Yongjun He. A scholar is included among the top collaborators of Yongjun 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 Yongjun He. Yongjun 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.
2.
3.
Qin, Jian, et al.. (2024). Cell comparative learning: A cervical cytopathology whole slide image classification method using normal and abnormal cells. Computerized Medical Imaging and Graphics. 117. 102427–102427. 5 indexed citations
4.
Han, Jiqing, et al.. (2024). Sound Activity-Aware Based Cross-Task Collaborative Training for Semi-Supervised Sound Event Detection. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 3947–3959.
5.
Han, Jiqing, et al.. (2024). Distance Metric-Based Open-Set Domain Adaptation for Speaker Verification. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 2378–2390.
6.
Yang, Xiaona, et al.. (2024). HVS-Unsup: Unsupervised cervical cell instance segmentation method based on human visual simulation. Computers in Biology and Medicine. 171. 108147–108147. 3 indexed citations
7.
Han, Jiqing, et al.. (2023). Sentiment Knowledge Enhanced Self-supervised Learning for Multimodal Sentiment Analysis. 12966–12978. 8 indexed citations
8.
He, Yongjun, et al.. (2023). CNSeg: A dataset for cervical nuclear segmentation. Computer Methods and Programs in Biomedicine. 241. 107732–107732. 6 indexed citations
9.
Huang, Jinjie, et al.. (2022). GCP-Net: A Gating Context-Aware Pooling Network for Cervical Cell Nuclei Segmentation. Mobile Information Systems. 2022. 1–14. 10 indexed citations
10.
Qin, Jian, et al.. (2022). REU-Net: Region-enhanced nuclei segmentation network. Computers in Biology and Medicine. 146. 105546–105546. 20 indexed citations
11.
He, Yongjun, et al.. (2022). Enhanced VAEGAN: a zero-shot image classification method. Applied Intelligence. 53(8). 9235–9246. 3 indexed citations
12.
He, Yongjun, et al.. (2022). A Semi-supervised Deep Learning Method for Cervical Cell Classification. Analytical Cellular Pathology. 2022. 1–12. 15 indexed citations
13.
Qin, Jian, et al.. (2022). A Multi-Task Feature Fusion Model for Cervical Cell Classification. IEEE Journal of Biomedical and Health Informatics. 26(9). 4668–4678. 22 indexed citations
14.
Zhao, Jing, et al.. (2021). AL-Net: Attention Learning Network Based on Multi-Task Learning for Cervical Nucleus Segmentation. IEEE Journal of Biomedical and Health Informatics. 26(6). 2693–2702. 30 indexed citations
15.
Chen, Deyun, et al.. (2021). Attention-Guided Digital Adversarial Patches on Visual Detection. Security and Communication Networks. 2021. 1–11. 6 indexed citations
16.
He, Yongjun, et al.. (2021). A Mutually Auxiliary Multitask Model With Self-Distillation for Emotion-Cause Pair Extraction. IEEE Access. 9. 26811–26821. 15 indexed citations
17.
Tang, Lei, et al.. (2020). An Efficient 3D Model Retrieval Method Based on Convolutional Neural Network. Complexity. 2020. 1–14. 4 indexed citations
18.
Tang, Lei, et al.. (2020). 3D Shape Classification Using a Single View. IEEE Access. 8. 200812–200822. 2 indexed citations
19.
Zheng, Dequan, et al.. (2020). Nucleus Segmentation of Cervical Cytology Images Based on Depth Information. IEEE Access. 8. 75846–75859. 19 indexed citations
20.
Zhao, Jing, et al.. (2020). Overlapping region reconstruction in nuclei image segmentation. The Visual Computer. 37(7). 1623–1635. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ruiyang Zhang Breakdown of academic impact, for papers by Jiahao Deng Breakdown of academic impact, for papers by Cheng Lian Breakdown of academic impact, for papers by Yanpeng Cao Breakdown of academic impact, for papers by Zhijun Chen Breakdown of academic impact, for papers by Liang Hu Breakdown of academic impact, for papers by Hao Ma Breakdown of academic impact, for papers by Pengyu Wang Breakdown of academic impact, for papers by Liming Jiang
Rankless by CCL
2026