Along He

893 total citations · 2 hit papers
14 papers, 518 citations indexed

About

Along He is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Along He has authored 14 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Artificial Intelligence. Recurrent topics in Along He's work include Medical Image Segmentation Techniques (4 papers), AI in cancer detection (3 papers) and Advanced Neural Network Applications (3 papers). Along He is often cited by papers focused on Medical Image Segmentation Techniques (4 papers), AI in cancer detection (3 papers) and Advanced Neural Network Applications (3 papers). Along He collaborates with scholars based in China, Singapore and Hong Kong. Along He's co-authors include Tao Li, Huazhu Fu, Kai Wang, Ning Li, Shuang Xia, Bo Wang, Hong Kang, Yuxi Wang, Xiaolin Nie and He Bu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging and BMC Public Health.

In The Last Decade

Along He

12 papers receiving 507 citations

Hit Papers

CABNet: Category Attention Block for Imbalanced Diabetic ... 2020 2026 2022 2024 2020 2023 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Along He China 6 289 248 140 128 89 14 518
Swamidoss Issac Niwas India 14 279 1.0× 212 0.9× 202 1.4× 140 1.1× 33 0.4× 19 499
A. Krishna Rao India 7 492 1.7× 247 1.0× 348 2.5× 65 0.5× 43 0.5× 9 593
Jahanzaib Latif China 8 185 0.6× 93 0.4× 79 0.6× 106 0.8× 49 0.6× 9 338
Sarah Mazhar China 9 220 0.8× 120 0.5× 90 0.6× 97 0.8× 66 0.7× 15 397
Ling Dai China 6 417 1.4× 189 0.8× 277 2.0× 92 0.7× 44 0.5× 10 566
Lie Ju Australia 10 164 0.6× 90 0.4× 101 0.7× 90 0.7× 20 0.2× 23 329
Ravi Kamble India 8 602 2.1× 311 1.3× 396 2.8× 92 0.7× 55 0.6× 15 742
Veena Mayya India 9 148 0.5× 166 0.7× 71 0.5× 67 0.5× 10 0.1× 32 374
Sima Sahu India 5 173 0.6× 176 0.7× 76 0.5× 43 0.3× 13 0.1× 6 313
Sajib Saha Australia 12 434 1.5× 161 0.6× 287 2.0× 44 0.3× 12 0.1× 58 603

Countries citing papers authored by Along He

Since Specialization
Citations

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

Fields of papers citing papers by Along He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Along He

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

All Works

14 of 14 papers shown
1.
He, Along, et al.. (2025). DVPT: Dynamic Visual Prompt Tuning of large pre-trained models for medical image analysis. Neural Networks. 185. 107168–107168. 4 indexed citations
3.
Wu, Yanlin, et al.. (2024). Trans-SAM: Transfer Segment Anything Model to medical image segmentation with Parameter-Efficient Fine-Tuning. Knowledge-Based Systems. 310. 112909–112909. 4 indexed citations
4.
He, Along, et al.. (2024). Spatial-Frequency Dual Domain Attention Network For Medical Image Segmentation. 4076–4081. 4 indexed citations
5.
He, Along, et al.. (2024). NKUT: Dataset and Benchmark for Pediatric Mandibular Wisdom Teeth Segmentation. IEEE Journal of Biomedical and Health Informatics. 28(6). 3523–3533. 5 indexed citations
7.
He, Along, et al.. (2023). H2Former: An Efficient Hierarchical Hybrid Transformer for Medical Image Segmentation. IEEE Transactions on Medical Imaging. 42(9). 2763–2775. 160 indexed citations breakdown →
8.
He, Along, et al.. (2023). Bilateral Supervision Network for Semi-Supervised Medical Image Segmentation. IEEE Transactions on Medical Imaging. 43(5). 1715–1726. 12 indexed citations
9.
He, Along, Kai Wang, Tao Li, et al.. (2022). Progressive Multiscale Consistent Network for Multiclass Fundus Lesion Segmentation. IEEE Transactions on Medical Imaging. 41(11). 3146–3157. 39 indexed citations
10.
Duan, Wenjie, Yumei Li, Along He, & Tong Wu. (2021). HIV stigma based on dual perspectives of the uninfected and the infected. Advances in Psychological Science. 29(2). 323–337. 1 indexed citations
12.
He, Along, Tao Li, Ning Li, Kai Wang, & Huazhu Fu. (2020). CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading. IEEE Transactions on Medical Imaging. 40(1). 143–153. 241 indexed citations breakdown →
13.
He, Along, et al.. (2020). EML BASED URBAN FIRE INCIDENT MODELING METHOD AND PROTOTYPE. SHILAP Revista de lepidopterología. V-3-2020. 617–624. 1 indexed citations
14.
He, Along, et al.. (2019). A Multi-Feature Fusion Based on Transfer Learning for Chicken Embryo Eggs Classification. Symmetry. 11(5). 606–606. 34 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

Rankless by CCL
2026