Shoulin Wei

728 total citations · 1 hit paper
38 papers, 381 citations indexed

About

Shoulin Wei is a scholar working on Computer Networks and Communications, Artificial Intelligence and Astronomy and Astrophysics. According to data from OpenAlex, Shoulin Wei has authored 38 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 8 papers in Artificial Intelligence and 7 papers in Astronomy and Astrophysics. Recurrent topics in Shoulin Wei's work include Radio Astronomy Observations and Technology (5 papers), Distributed and Parallel Computing Systems (5 papers) and Cloud Computing and Resource Management (4 papers). Shoulin Wei is often cited by papers focused on Radio Astronomy Observations and Technology (5 papers), Distributed and Parallel Computing Systems (5 papers) and Cloud Computing and Resource Management (4 papers). Shoulin Wei collaborates with scholars based in China, Spain and South Africa. Shoulin Wei's co-authors include Wen Wang, Congming Shi, Jialei Liu, Hai Liu, Wei Dai, Bo Liang, Wei Peng, Wei Lan, Feng Wang and Hui Deng and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Sensors and The Astrophysical Journal Supplement Series.

In The Last Decade

Shoulin Wei

31 papers receiving 367 citations

Hit Papers

A quantitative discriminant method of elbow point for the... 2021 2026 2022 2024 2021 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
Shoulin Wei China 8 76 55 38 38 38 38 381
Harshvardhan GM India 11 162 2.1× 33 0.6× 5 0.1× 39 1.0× 27 0.7× 20 488
Weifeng Shan China 11 220 2.9× 22 0.4× 22 0.6× 16 0.4× 53 1.4× 36 432
Weinan Wang United States 8 46 0.6× 15 0.3× 9 0.2× 44 1.2× 48 1.3× 32 349
Duncan J. Murdoch Canada 10 74 1.0× 39 0.7× 5 0.1× 102 2.7× 23 0.6× 30 534
Serafim Batzoglou United States 3 96 1.3× 99 1.8× 4 0.1× 26 0.7× 19 0.5× 6 450
Yuriy Polyakov United States 15 373 4.9× 71 1.3× 11 0.3× 141 3.7× 148 3.9× 54 860
Ambuj Kumar Agarwal India 13 113 1.5× 76 1.4× 28 0.7× 90 2.4× 46 1.2× 102 563
Yong‐Gi Kim South Korea 13 210 2.8× 18 0.3× 21 0.6× 79 2.1× 60 1.6× 56 715
Xi Ye China 16 191 2.5× 31 0.6× 8 0.2× 23 0.6× 492 12.9× 87 969
Xiaoyu Wang China 11 109 1.4× 12 0.2× 28 0.7× 35 0.9× 189 5.0× 57 543

Countries citing papers authored by Shoulin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Shoulin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoulin Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Shoulin Wei. A scholar is included among the top collaborators of Shoulin Wei 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 Shoulin Wei. Shoulin Wei 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, Dong, Kegang Wu, Chun‐Quan Ou, et al.. (2025). Development of stable cinnamon essential oil emulsions using natural extracts from Gleditsia sinensis Lam rich in galactomannan and saponin. Industrial Crops and Products. 228. 120918–120918. 1 indexed citations
2.
Yan, Hao, et al.. (2025). SCM-UNet: Spatial-channel Mamba UNet for medical image segmentation. Digital Signal Processing. 168. 105550–105550. 1 indexed citations
3.
Lei, Ming, et al.. (2025). Tactical-Grade Three-Axis Interferometric Fiber-Optic Gyroscope With a Silica Integrated Optical Chip. IEEE Sensors Journal. 25(7). 10957–10963. 3 indexed citations
4.
Yang, Qi, et al.. (2025). Mussel-inspired adhesive and tough hydrogel for drug release based on lignin-containing cellulose nanofiber. International Journal of Biological Macromolecules. 306(Pt 2). 141458–141458. 2 indexed citations
5.
Wu, Kegang, Chun‐Quan Ou, Jiawei Lin, et al.. (2025). Physicochemical and functional properties of cinnamon essential oil emulsions stabilized by galactomannan-rich aqueous extract from Gleditsia sinensis seeds and soy protein isolate. International Journal of Biological Macromolecules. 295. 139601–139601. 4 indexed citations
6.
Liang, Bo, et al.. (2024). Radio frequency interference identification using dual cross-attention and multi-scale feature fusing. Astronomy and Computing. 49. 100881–100881. 1 indexed citations
7.
Hao, Longfei, et al.. (2024). Radio frequency interference detection using efficient multiscale convolutional attention UNet. Monthly Notices of the Royal Astronomical Society. 529(4). 4719–4727. 5 indexed citations
8.
Zhang, Xuan, et al.. (2024). Identification of Radio Frequency Interference Using Multi-scale TransUNet. Publications of the Astronomical Society of the Pacific. 136(6). 64503–64503. 1 indexed citations
9.
Wei, Shoulin, et al.. (2024). Identifying Mergers in the Legacy Surveys with Few-shot Learning. The Astrophysical Journal Supplement Series. 274(2). 23–23.
10.
Peng, Wei, Wei Dai, Shoulin Wei, et al.. (2024). Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration. Health Information Science and Systems. 12(1). 12–12. 7 indexed citations
11.
Wei, Shoulin, et al.. (2024). A Study of Classroom Behavior Recognition Incorporating Super-Resolution and Target Detection. Sensors. 24(17). 5640–5640. 3 indexed citations
12.
Cao, Liang, Peng Jia, Nan Li, et al.. (2024). A versatile framework for analyzing galaxy image data by incorporating Human-in-the-loop in a large vision model*. Chinese Physics C. 48(9). 95001–95001. 1 indexed citations
13.
Wei, Shoulin, et al.. (2023). Galaxy Morphological Classification of the Legacy Surveys with Deformable Convolutional Neural Networks. The Astronomical Journal. 167(1). 29–29. 4 indexed citations
14.
Wei, Shoulin, et al.. (2023). Identifying 46 New Open Cluster Candidates in Gaia EDR3 Using a Hybrid pyUPMASK and Random Forest Method. The Astrophysical Journal Supplement Series. 265(1). 20–20. 8 indexed citations
15.
Tang, Haotian, et al.. (2023). An Efficient Association Rule Mining-Based Spatial Keyword Index. International Journal of Data Warehousing and Mining. 19(2). 1–19. 3 indexed citations
16.
Peng, Wei, et al.. (2022). Predicting miRNA-Disease Associations From miRNA-Gene-Disease Heterogeneous Network With Multi-Relational Graph Convolutional Network Model. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(6). 3363–3375. 32 indexed citations
17.
Wei, Shoulin, Yanjun Chen, Longfei Hao, et al.. (2022). Time-dependent short-term observational scheduling method for Yunnan 40 m Radio Telescope using a genetic algorithm. Astrophysics and Space Science. 367(9).
18.
Shi, Congming, et al.. (2021). A quantitative discriminant method of elbow point for the optimal number of clusters in clustering algorithm. EURASIP Journal on Wireless Communications and Networking. 2021(1). 215 indexed citations breakdown →
19.
Wang, Feng, Hui Deng, Cui-Yun Liu, et al.. (2015). Distributed Data-Processing Pipeline for Mingantu Ultrawide Spectral Radioheliograph. Publications of the Astronomical Society of the Pacific. 127(950). 383–396. 8 indexed citations
20.
Wei, Shoulin, et al.. (2015). Review of Nonlinear Adjustment Algorithms. 62–65.

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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